Index (Spark 4.2.0-preview2 JavaDoc)

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A

abbreviate(String, int) - Method in interface org.apache.spark.util.SparkStringUtils
abbreviate(String, int) - Static method in class org.apache.spark.util.Utils
abbreviate(String, String, int) - Method in interface org.apache.spark.util.SparkStringUtils
abbreviate(String, String, int) - Static method in class org.apache.spark.util.Utils
abort() - Method in interface org.apache.spark.sql.connector.write.DataWriter: Aborts this writer if it is failed.
abort(long, WriterCommitMessage[]) - Method in interface org.apache.spark.sql.connector.write.streaming.StreamingWrite: Aborts this writing job because some data writers are failed and keep failing when retried, or the Spark job fails with some unknown reasons, or StreamingWrite.commit(long, WriterCommitMessage[]) fails.
abort(Throwable) - Method in interface org.apache.spark.shuffle.api.ShuffleMapOutputWriter: Abort all of the writes done by any writers returned by ShuffleMapOutputWriter.getPartitionWriter(int).
abort(WriterCommitMessage[]) - Method in interface org.apache.spark.sql.connector.write.BatchWrite: Aborts this writing job because some data writers are failed and keep failing when retry, or the Spark job fails with some unknown reasons, or BatchWrite.onDataWriterCommit(WriterCommitMessage) fails, or BatchWrite.commit(WriterCommitMessage[]) fails.
abortStagedChanges() - Method in interface org.apache.spark.sql.connector.catalog.StagedTable: Abort the changes that were staged, both in metadata and from temporary outputs of this table's writers.
abs() - Method in class org.apache.spark.sql.types.Decimal
abs(double) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
abs(double) - Method in interface org.apache.spark.sql.types.DoubleType.DoubleIsConflicted
abs(float) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
abs(float) - Method in interface org.apache.spark.sql.types.FloatType.FloatIsConflicted
abs(Column) - Static method in class org.apache.spark.sql.functions: Computes the absolute value of a numeric value.
abs(T) - Static method in class org.apache.spark.sql.types.ByteExactNumeric
abs(T) - Static method in class org.apache.spark.sql.types.DecimalExactNumeric
abs(T) - Static method in class org.apache.spark.sql.types.IntegerExactNumeric
abs(T) - Static method in class org.apache.spark.sql.types.LongExactNumeric
abs(T) - Static method in class org.apache.spark.sql.types.ShortExactNumeric
absent() - Static method in class org.apache.spark.api.java.Optional
AbsoluteError - Class in org.apache.spark.mllib.tree.loss: Class for absolute error loss calculation (for regression).
AbsoluteError() - Constructor for class org.apache.spark.mllib.tree.loss.AbsoluteError
AbstractLauncher<T extends AbstractLauncher<T>> - Class in org.apache.spark.launcher: Base class for launcher implementations.
AbstractMessageIterator - Interface in org.apache.spark.sql.util
accept(ES, Function1<ES, List<Object>>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
accept(String, PartialFunction<Object, U>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
accept(Path) - Method in class org.apache.spark.ml.image.SamplePathFilter
accept(Parsers) - Static method in class org.apache.spark.ml.feature.RFormulaParser
ACCEPT_ANY_SCHEMA - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableCapability: Signals that the table accepts input of any schema in a write operation.
acceptIf(Function1<Object, Object>, Function1<Object, String>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
acceptMatch(String, PartialFunction<Object, U>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
acceptSeq(ES, Function1<ES, Iterable<Object>>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
acceptsGeographyType(GeographyType) - Method in class org.apache.spark.sql.types.GeographyType: The GeographyType with mixed SRID can accept any other GeographyType, i.e.
acceptsGeometryType(GeometryType) - Method in class org.apache.spark.sql.types.GeometryType: The GeometryType with a mixed SRID can accept any other GeometryType, i.e.
AcceptsLatestSeenOffset - Interface in org.apache.spark.sql.connector.read.streaming: Indicates that the source accepts the latest seen offset, which requires streaming execution to provide the latest seen offset when restarting the streaming query from checkpoint.
acceptsType(DataType) - Method in class org.apache.spark.sql.types.ObjectType
accId() - Method in class org.apache.spark.CleanAccum
accumCleaned(long) - Method in interface org.apache.spark.CleanerListener
AccumulableInfo - Class in org.apache.spark.scheduler: :: DeveloperApi :: Information about an AccumulatorV2 modified during a task or stage.
AccumulableInfo - Class in org.apache.spark.status.api.v1
accumulableInfoFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
AccumulableInfoSerializer - Class in org.apache.spark.status.protobuf
AccumulableInfoSerializer() - Constructor for class org.apache.spark.status.protobuf.AccumulableInfoSerializer
accumulableInfoToJson(AccumulableInfo, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
accumulables() - Method in class org.apache.spark.scheduler.StageInfo: Terminal values of accumulables updated during this stage, including all the user-defined accumulators.
accumulables() - Method in class org.apache.spark.scheduler.TaskInfo: Intermediate updates to accumulables during this task.
accumulablesToJson(Iterable<AccumulableInfo>, JsonGenerator, boolean) - Static method in class org.apache.spark.util.JsonProtocol
ACCUMULATOR_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
ACCUMULATOR_UPDATES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
ACCUMULATOR_UPDATES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
ACCUMULATOR_UPDATES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
AccumulatorContext - Class in org.apache.spark.util: An internal class used to track accumulators by Spark itself.
AccumulatorContext() - Constructor for class org.apache.spark.util.AccumulatorContext
ACCUMULATORS() - Static method in class org.apache.spark.status.TaskIndexNames
accumulatorUpdates() - Method in class org.apache.spark.status.api.v1.StageData
accumulatorUpdates() - Method in class org.apache.spark.status.api.v1.TaskData
AccumulatorV2<IN,OUT> - Class in org.apache.spark.util: The base class for accumulators, that can accumulate inputs of type IN, and produce output of type OUT.
AccumulatorV2() - Constructor for class org.apache.spark.util.AccumulatorV2
accumUpdates() - Method in class org.apache.spark.ExceptionFailure
accumUpdates() - Method in class org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate
accumUpdates() - Method in class org.apache.spark.TaskKilled
accuracy() - Method in interface org.apache.spark.ml.classification.ClassificationSummary: Returns accuracy.
accuracy() - Method in class org.apache.spark.mllib.evaluation.MulticlassMetrics
accuracy() - Method in class org.apache.spark.mllib.evaluation.MultilabelMetrics: Returns accuracy
acos(String) - Static method in class org.apache.spark.sql.functions
acos(Column) - Static method in class org.apache.spark.sql.functions
acosh(String) - Static method in class org.apache.spark.sql.functions
acosh(Column) - Static method in class org.apache.spark.sql.functions
acquire(Map<String, Object>) - Method in interface org.apache.spark.resource.ResourceAllocator: Acquire a sequence of resource addresses (to a launched task), these addresses must be available.
ActivationFunction - Interface in org.apache.spark.ml.ann: Trait for functions and their derivatives for functional layers
active() - Static method in class org.apache.spark.sql.SparkSession
active() - Method in class org.apache.spark.sql.streaming.StreamingQueryManager: Returns a list of active queries associated with this SQLContext
active() - Method in class org.apache.spark.streaming.scheduler.ReceiverInfo
ACTIVE - Enum constant in enum class org.apache.spark.status.api.v1.StageStatus
ACTIVE - Enum constant in enum class org.apache.spark.streaming.StreamingContextState: The context has been started, and been not stopped.
ACTIVE() - Static method in class org.apache.spark.streaming.scheduler.ReceiverState
ACTIVE_TASKS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
activeIterator() - Method in interface org.apache.spark.ml.linalg.Vector: Returns an iterator over all the active elements of this vector.
activeIterator() - Method in interface org.apache.spark.mllib.linalg.Vector: Returns an iterator over all the active elements of this vector.
activeStages() - Method in class org.apache.spark.status.LiveJob
activeTasks() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
activeTasks() - Method in class org.apache.spark.status.LiveJob
activeTasks() - Method in class org.apache.spark.status.LiveStage
activeTasksPerExecutor() - Method in class org.apache.spark.status.LiveStage
add(double) - Method in class org.apache.spark.sql.util.NumericHistogram: Adds a new data point to the histogram approximation.
add(double) - Method in class org.apache.spark.util.DoubleAccumulator: Adds v to the accumulator, i.e.
add(double[], MultivariateGaussian[], ExpectationSum, Vector<Object>) - Static method in class org.apache.spark.mllib.clustering.ExpectationSum
add(long) - Method in class org.apache.spark.util.LongAccumulator: Adds v to the accumulator, i.e.
add(Datum) - Method in interface org.apache.spark.ml.optim.aggregator.DifferentiableLossAggregator: Add a single data point to this aggregator.
add(IN) - Method in class org.apache.spark.util.AccumulatorV2: Takes the inputs and accumulates.
add(Double) - Method in class org.apache.spark.util.DoubleAccumulator: Adds v to the accumulator, i.e.
add(Long) - Method in class org.apache.spark.sql.util.MapperRowCounter
add(Long) - Method in class org.apache.spark.util.LongAccumulator: Adds v to the accumulator, i.e.
add(Object) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by one.
add(Object, long) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by count.
add(String, String) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new nullable field with no metadata where the dataType is specified as a String.
add(String, String, boolean) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new field with no metadata where the dataType is specified as a String.
add(String, String, boolean, String) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new field and specifying metadata where the dataType is specified as a String.
add(String, String, boolean, Metadata) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new field and specifying metadata where the dataType is specified as a String.
add(String, DataType) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new nullable field with no metadata.
add(String, DataType, boolean) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new field with no metadata.
add(String, DataType, boolean, String) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new field and specifying metadata.
add(String, DataType, boolean, Metadata) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new field and specifying metadata.
add(org.apache.spark.ml.feature.InstanceBlock) - Method in class org.apache.spark.ml.clustering.KMeansAggregator
add(Term) - Static method in class org.apache.spark.ml.feature.Dot
add(Term) - Static method in class org.apache.spark.ml.feature.EmptyTerm
add(Term) - Method in interface org.apache.spark.ml.feature.Term: Creates a summation term by concatenation of terms.
add(BlockMatrix) - Method in class org.apache.spark.mllib.linalg.distributed.BlockMatrix: Adds the given block matrix other to this block matrix: this + other.
add(Vector) - Method in class org.apache.spark.mllib.feature.IDF.DocumentFrequencyAggregator: Adds a new document.
add(Vector) - Method in class org.apache.spark.mllib.stat.MultivariateOnlineSummarizer: Add a new sample to this summarizer, and update the statistical summary.
add(StructField) - Method in class org.apache.spark.sql.types.StructType: Creates a new StructType by adding a new field.
add(Tuple2<Vector, Object>) - Method in class org.apache.spark.ml.clustering.ExpectationAggregator: Add a new training instance to this ExpectationAggregator, update the weights, means and covariances for each distributions, and update the log likelihood.
add(T) - Method in class org.apache.spark.sql.util.SQLOpenHashSet
add(T) - Method in class org.apache.spark.util.CollectionAccumulator
add_months(Column, int) - Static method in class org.apache.spark.sql.functions: Returns the date that is numMonths after startDate.
add_months(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the date that is numMonths after startDate.
ADD_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
ADD_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
addAccumulatorUpdates(int, StoreTypes.AccumulableInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
addAccumulatorUpdates(int, StoreTypes.AccumulableInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdates(int, StoreTypes.AccumulableInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdates(int, StoreTypes.AccumulableInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
addAccumulatorUpdates(int, StoreTypes.AccumulableInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdates(int, StoreTypes.AccumulableInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdates(StoreTypes.AccumulableInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
addAccumulatorUpdates(StoreTypes.AccumulableInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdates(StoreTypes.AccumulableInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdates(StoreTypes.AccumulableInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
addAccumulatorUpdates(StoreTypes.AccumulableInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdates(StoreTypes.AccumulableInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdatesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
addAccumulatorUpdatesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdatesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdatesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
addAccumulatorUpdatesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAccumulatorUpdatesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAddresses(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
addAddressesBytes(ByteString) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
addAllAccumulatorUpdates(Iterable<? extends StoreTypes.AccumulableInfo>) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
addAllAccumulatorUpdates(Iterable<? extends StoreTypes.AccumulableInfo>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAllAccumulatorUpdates(Iterable<? extends StoreTypes.AccumulableInfo>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
addAllAddresses(Iterable<String>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
addAllAttempts(Iterable<? extends StoreTypes.ApplicationAttemptInfo>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
addAllBlacklistedInStages(Iterable<? extends Long>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 blacklisted_in_stages = 25;
addAllBytesRead(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double bytes_read = 1;
addAllBytesWritten(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double bytes_written = 1;
addAllChildClusters(Iterable<? extends StoreTypes.RDDOperationClusterWrapper>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
addAllChildNodes(Iterable<? extends StoreTypes.RDDOperationNode>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
addAllClasspathEntries(Iterable<? extends StoreTypes.PairStrings>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
addAllCorruptMergedBlockChunks(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double corrupt_merged_block_chunks = 1;
addAllDataDistribution(Iterable<? extends StoreTypes.RDDDataDistribution>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
addAllDiskBytesSpilled(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double disk_bytes_spilled = 15;
addAllDiskBytesSpilled(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double disk_bytes_spilled = 14;
addAllDuration(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double duration = 2;
addAllEdges(Iterable<? extends StoreTypes.RDDOperationEdge>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
addAllEdges(Iterable<? extends StoreTypes.SparkPlanGraphEdge>) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
addAllExcludedInStages(Iterable<? extends Long>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 excluded_in_stages = 31;
addAllExecutorCpuTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_cpu_time = 6;
addAllExecutorDeserializeCpuTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_cpu_time = 4;
addAllExecutorDeserializeTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_time = 3;
addAllExecutorMetrics(Iterable<? extends StoreTypes.ExecutorMetrics>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
addAllExecutorRunTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_run_time = 5;
addAllExecutors(Iterable<String>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
addAllFailedTasks(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double failed_tasks = 3;
addAllFetchWaitTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double fetch_wait_time = 5;
addAllGettingResultTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double getting_result_time = 10;
addAllHadoopProperties(Iterable<? extends StoreTypes.PairStrings>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
addAllIncomingEdges(Iterable<? extends StoreTypes.RDDOperationEdge>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
addAllInputBytes(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_bytes = 6;
addAllInputRecords(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_records = 7;
addAllJobIds(Iterable<? extends Long>) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: repeated int64 job_ids = 2;
addAllJobTags(Iterable<String>) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
addAllJvmGcTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double jvm_gc_time = 8;
addAllKilledTasks(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double killed_tasks = 5;
addAllLocalBlocksFetched(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double local_blocks_fetched = 4;
addAllLocalMergedBlocksFetched(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_blocks_fetched = 4;
addAllLocalMergedBytesRead(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_bytes_read = 8;
addAllLocalMergedChunksFetched(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_chunks_fetched = 6;
addAllMemoryBytesSpilled(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double memory_bytes_spilled = 14;
addAllMemoryBytesSpilled(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double memory_bytes_spilled = 13;
addAllMergedFetchFallbackCount(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double merged_fetch_fallback_count = 2;
addAllMetrics(Iterable<? extends StoreTypes.SQLPlanMetric>) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
addAllMetrics(Iterable<? extends StoreTypes.SQLPlanMetric>) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
addAllMetrics(Iterable<? extends StoreTypes.SQLPlanMetric>) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
addAllMetricsProperties(Iterable<? extends StoreTypes.PairStrings>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
addAllNodes(Iterable<? extends StoreTypes.SparkPlanGraphNodeWrapper>) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
addAllNodes(Iterable<? extends StoreTypes.SparkPlanGraphNodeWrapper>) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
addAllOutgoingEdges(Iterable<? extends StoreTypes.RDDOperationEdge>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
addAllOutputBytes(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_bytes = 8;
addAllOutputRecords(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_records = 9;
addAllPartitions(Iterable<? extends StoreTypes.RDDPartitionInfo>) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
addAllPeakExecutionMemory(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double peak_execution_memory = 12;
addAllQuantiles(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double quantiles = 1;
addAllQuantiles(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated double quantiles = 1;
addAllQuantiles(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double quantiles = 1;
addAllRddIds(Iterable<? extends Long>) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated int64 rdd_ids = 43;
addAllReadBytes(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_bytes = 1;
addAllReadRecords(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_records = 2;
addAllRecordsRead(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double records_read = 2;
addAllRecordsWritten(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double records_written = 2;
addAllRemoteBlocksFetched(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_blocks_fetched = 3;
addAllRemoteBytesRead(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read = 6;
addAllRemoteBytesReadToDisk(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read_to_disk = 7;
addAllRemoteMergedBlocksFetched(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_blocks_fetched = 3;
addAllRemoteMergedBytesRead(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_bytes_read = 7;
addAllRemoteMergedChunksFetched(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_chunks_fetched = 5;
addAllRemoteMergedReqsDuration(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_reqs_duration = 9;
addAllRemoteReqsDuration(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_reqs_duration = 9;
addAllResourceProfiles(Iterable<? extends StoreTypes.ResourceProfileInfo>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
addAllResultSerializationTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_serialization_time = 9;
addAllResultSize(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_size = 7;
addAllSchedulerDelay(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double scheduler_delay = 11;
addAllShuffleRead(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read = 10;
addAllShuffleReadRecords(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read_records = 11;
addAllShuffleWrite(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write = 12;
addAllShuffleWriteRecords(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write_records = 13;
addAllSkippedStages(Iterable<? extends Integer>) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: repeated int32 skipped_stages = 2;
addAllSources(Iterable<? extends StoreTypes.SourceProgress>) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
addAllSparkProperties(Iterable<? extends StoreTypes.PairStrings>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
addAllStageIds(Iterable<? extends Long>) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated int64 stage_ids = 6;
addAllStageIds(Iterable<? extends Long>) - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: repeated int64 stage_ids = 2;
addAllStages(Iterable<? extends Long>) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated int64 stages = 12;
addAllStateOperators(Iterable<? extends StoreTypes.StateOperatorProgress>) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
addAllSucceededTasks(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double succeeded_tasks = 4;
addAllSystemProperties(Iterable<? extends StoreTypes.PairStrings>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
addAllTaskTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double task_time = 2;
addAllTotalBlocksFetched(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double total_blocks_fetched = 8;
addAllWriteBytes(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_bytes = 1;
addAllWriteRecords(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_records = 2;
addAllWriteTime(Iterable<? extends Double>) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_time = 3;
addAppArgs(String...) - Method in class org.apache.spark.launcher.AbstractLauncher: Adds command line arguments for the application.
addAppArgs(String...) - Method in class org.apache.spark.launcher.SparkLauncher
addArchive(String) - Method in class org.apache.spark.SparkContext: :: Experimental :: Add an archive to be downloaded and unpacked with this Spark job on every node.
addArtifact(byte[], String) - Method in class org.apache.spark.sql.SparkSession: Add a single in-memory artifact to the session while preserving the directory structure specified by target under the session's working directory of that particular file extension.
addArtifact(String) - Method in class org.apache.spark.sql.SparkSession: Add a single artifact to the current session.
addArtifact(String, String) - Method in class org.apache.spark.sql.SparkSession: Add a single artifact to the session while preserving the directory structure specified by target under the session's working directory of that particular file extension.
addArtifact(URI) - Method in class org.apache.spark.sql.SparkSession: Add a single artifact to the current session.
addArtifacts(URI...) - Method in class org.apache.spark.sql.SparkSession: Add one or more artifacts to the session.
addArtifacts(Seq<URI>) - Method in class org.apache.spark.sql.SparkSession: Add one or more artifacts to the session.
addAttempts(int, StoreTypes.ApplicationAttemptInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
addAttempts(int, StoreTypes.ApplicationAttemptInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
addAttempts(StoreTypes.ApplicationAttemptInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
addAttempts(StoreTypes.ApplicationAttemptInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
addAttemptsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
addAttemptsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
addBin(double, double, int) - Method in class org.apache.spark.sql.util.NumericHistogram: Set a particular histogram bin with index.
addBinary(byte[]) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by one.
addBinary(byte[], long) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by count.
addBlacklistedInStages(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 blacklisted_in_stages = 25;
addBytesRead(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double bytes_read = 1;
addBytesWritten(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double bytes_written = 1;
addChildClusters(int, StoreTypes.RDDOperationClusterWrapper) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
addChildClusters(int, StoreTypes.RDDOperationClusterWrapper.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
addChildClusters(StoreTypes.RDDOperationClusterWrapper) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
addChildClusters(StoreTypes.RDDOperationClusterWrapper.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
addChildClustersBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
addChildClustersBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
addChildNodes(int, StoreTypes.RDDOperationNode) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
addChildNodes(int, StoreTypes.RDDOperationNode.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
addChildNodes(StoreTypes.RDDOperationNode) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
addChildNodes(StoreTypes.RDDOperationNode.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
addChildNodesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
addChildNodesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
addChunk(ShuffleBlockChunkId, RoaringBitmap) - Method in class org.apache.spark.storage.PushBasedFetchHelper: This is executed by the task thread when the iterator.next() is invoked and the iterator processes a response of type ShuffleBlockFetcherIterator.PushMergedLocalMetaFetchResult.
addClasspathEntries(int, StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
addClasspathEntries(int, StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
addClasspathEntries(StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
addClasspathEntries(StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
addClasspathEntriesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
addClasspathEntriesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
addColumn(String[], DataType) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for adding an optional column.
addColumn(String[], DataType, boolean) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for adding a column.
addColumn(String[], DataType, boolean, String) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for adding a column.
addColumn(String[], DataType, boolean, String, TableChange.ColumnPosition, ColumnDefaultValue) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for adding a column.
addConstraint(Constraint, String) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for adding a new table constraint
addCorruptMergedBlockChunks(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double corrupt_merged_block_chunks = 1;
addDataDistribution(int, StoreTypes.RDDDataDistribution) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
addDataDistribution(int, StoreTypes.RDDDataDistribution.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
addDataDistribution(StoreTypes.RDDDataDistribution) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
addDataDistribution(StoreTypes.RDDDataDistribution.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
addDataDistributionBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
addDataDistributionBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
addDiskBytesSpilled(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double disk_bytes_spilled = 15;
addDiskBytesSpilled(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double disk_bytes_spilled = 14;
addDuration(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double duration = 2;
addEdges(int, StoreTypes.RDDOperationEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
addEdges(int, StoreTypes.RDDOperationEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
addEdges(int, StoreTypes.SparkPlanGraphEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
addEdges(int, StoreTypes.SparkPlanGraphEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
addEdges(StoreTypes.RDDOperationEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
addEdges(StoreTypes.RDDOperationEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
addEdges(StoreTypes.SparkPlanGraphEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
addEdges(StoreTypes.SparkPlanGraphEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
addEdgesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
addEdgesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
addEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
addEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
addExcludedInStages(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 excluded_in_stages = 31;
addExecutorCpuTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_cpu_time = 6;
addExecutorDeserializeCpuTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_cpu_time = 4;
addExecutorDeserializeTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_time = 3;
addExecutorMetrics(int, StoreTypes.ExecutorMetrics) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
addExecutorMetrics(int, StoreTypes.ExecutorMetrics.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
addExecutorMetrics(StoreTypes.ExecutorMetrics) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
addExecutorMetrics(StoreTypes.ExecutorMetrics.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
addExecutorMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
addExecutorMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
addExecutorRunTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_run_time = 5;
addExecutors(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
addExecutorsBytes(ByteString) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
addFailedTasks(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double failed_tasks = 3;
addFetchWaitTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double fetch_wait_time = 5;
addFile(String) - Method in class org.apache.spark.api.java.JavaSparkContext: Add a file to be downloaded with this Spark job on every node.
addFile(String) - Method in class org.apache.spark.launcher.AbstractLauncher: Adds a file to be submitted with the application.
addFile(String) - Method in class org.apache.spark.launcher.SparkLauncher
addFile(String) - Method in class org.apache.spark.SparkContext: Add a file to be downloaded with this Spark job on every node.
addFile(String, boolean) - Method in class org.apache.spark.api.java.JavaSparkContext: Add a file to be downloaded with this Spark job on every node.
addFile(String, boolean) - Method in class org.apache.spark.SparkContext: Add a file to be downloaded with this Spark job on every node.
addFilter(ServletContextHandler, String, Map<String, String>) - Static method in class org.apache.spark.ui.JettyUtils
addGettingResultTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double getting_result_time = 10;
addGrid(BooleanParam) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Adds a boolean param with true and false.
addGrid(DoubleParam, double[]) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Adds a double param with multiple values.
addGrid(FloatParam, float[]) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Adds a float param with multiple values.
addGrid(IntParam, int[]) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Adds an int param with multiple values.
addGrid(LongParam, long[]) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Adds a long param with multiple values.
addGrid(Param<T>, Iterable<T>) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Adds a param with multiple values (overwrites if the input param exists).
addHadoopProperties(int, StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
addHadoopProperties(int, StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
addHadoopProperties(StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
addHadoopProperties(StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
addHadoopPropertiesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
addHadoopPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
addIncomingEdges(int, StoreTypes.RDDOperationEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
addIncomingEdges(int, StoreTypes.RDDOperationEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
addIncomingEdges(StoreTypes.RDDOperationEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
addIncomingEdges(StoreTypes.RDDOperationEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
addIncomingEdgesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
addIncomingEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
addInputBytes(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_bytes = 6;
addInputRecords(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_records = 7;
addJar(String) - Method in class org.apache.spark.api.java.JavaSparkContext: Adds a JAR dependency for all tasks to be executed on this SparkContext in the future.
addJar(String) - Method in class org.apache.spark.launcher.AbstractLauncher: Adds a jar file to be submitted with the application.
addJar(String) - Method in class org.apache.spark.launcher.SparkLauncher
addJar(String) - Method in class org.apache.spark.SparkContext: Adds a JAR dependency for all tasks to be executed on this SparkContext in the future.
addJarsToClassPath(String, MutableURLClassLoader) - Static method in class org.apache.spark.util.DependencyUtils
addJarToClasspath(String, MutableURLClassLoader) - Static method in class org.apache.spark.util.DependencyUtils
addJobIds(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: repeated int64 job_ids = 2;
addJobTag(String) - Method in class org.apache.spark.api.java.JavaSparkContext: Add a tag to be assigned to all the jobs started by this thread.
addJobTag(String) - Method in class org.apache.spark.SparkContext: Add a tag to be assigned to all the jobs started by this thread.
addJobTags(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
addJobTags(Set<String>) - Method in class org.apache.spark.SparkContext: Add multiple tags to be assigned to all the jobs started by this thread.
addJobTagsBytes(ByteString) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
addJvmGcTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double jvm_gc_time = 8;
addKilledTasks(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double killed_tasks = 5;
addListener(L) - Method in interface org.apache.spark.util.ListenerBus: Add a listener to listen events.
addListener(SparkAppHandle.Listener) - Method in interface org.apache.spark.launcher.SparkAppHandle: Adds a listener to be notified of changes to the handle's information.
addListener(StreamingQueryListener) - Method in class org.apache.spark.sql.streaming.StreamingQueryManager: Register a StreamingQueryListener to receive up-calls for life cycle events of StreamingQuery.
addLocalBlocksFetched(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double local_blocks_fetched = 4;
addLocalConfiguration(String, int, int, int, JobConf) - Static method in class org.apache.spark.rdd.HadoopRDD: Add Hadoop configuration specific to a single partition and attempt.
addLocalMergedBlocksFetched(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_blocks_fetched = 4;
addLocalMergedBytesRead(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_bytes_read = 8;
addLocalMergedChunksFetched(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_chunks_fetched = 6;
addLong(long) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by one.
addLong(long, long) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by count.
addMapOutput(int, MapStatus) - Method in class org.apache.spark.ShuffleStatus: Register a map output.
addMemoryBytesSpilled(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double memory_bytes_spilled = 14;
addMemoryBytesSpilled(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double memory_bytes_spilled = 13;
addMergedFetchFallbackCount(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double merged_fetch_fallback_count = 2;
addMergeResult(int, org.apache.spark.scheduler.MergeStatus) - Method in class org.apache.spark.ShuffleStatus: Register a merge result.
addMetrics(int, StoreTypes.SQLPlanMetric) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
addMetrics(int, StoreTypes.SQLPlanMetric) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
addMetrics(int, StoreTypes.SQLPlanMetric) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
addMetrics(int, StoreTypes.SQLPlanMetric.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
addMetrics(int, StoreTypes.SQLPlanMetric.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
addMetrics(int, StoreTypes.SQLPlanMetric.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
addMetrics(TaskMetrics, TaskMetrics) - Static method in class org.apache.spark.status.LiveEntityHelpers: Add m2 values to m1.
addMetrics(StoreTypes.SQLPlanMetric) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
addMetrics(StoreTypes.SQLPlanMetric) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
addMetrics(StoreTypes.SQLPlanMetric) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
addMetrics(StoreTypes.SQLPlanMetric.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
addMetrics(StoreTypes.SQLPlanMetric.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
addMetrics(StoreTypes.SQLPlanMetric.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
addMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
addMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
addMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
addMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
addMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
addMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
addMetricsProperties(int, StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
addMetricsProperties(int, StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
addMetricsProperties(StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
addMetricsProperties(StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
addMetricsPropertiesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
addMetricsPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
addNaN() - Method in class org.apache.spark.sql.util.SQLOpenHashSet
addNodes(int, StoreTypes.SparkPlanGraphNodeWrapper) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
addNodes(int, StoreTypes.SparkPlanGraphNodeWrapper) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
addNodes(int, StoreTypes.SparkPlanGraphNodeWrapper.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
addNodes(int, StoreTypes.SparkPlanGraphNodeWrapper.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
addNodes(StoreTypes.SparkPlanGraphNodeWrapper) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
addNodes(StoreTypes.SparkPlanGraphNodeWrapper) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
addNodes(StoreTypes.SparkPlanGraphNodeWrapper.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
addNodes(StoreTypes.SparkPlanGraphNodeWrapper.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
addNodesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
addNodesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
addNodesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
addNodesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
addNull() - Method in class org.apache.spark.sql.util.SQLOpenHashSet
addOutgoingEdges(int, StoreTypes.RDDOperationEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
addOutgoingEdges(int, StoreTypes.RDDOperationEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
addOutgoingEdges(StoreTypes.RDDOperationEdge) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
addOutgoingEdges(StoreTypes.RDDOperationEdge.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
addOutgoingEdgesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
addOutgoingEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
addOutputBytes(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_bytes = 8;
addOutputRecords(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_records = 9;
addPartition(LiveRDDPartition) - Method in class org.apache.spark.status.RDDPartitionSeq
addPartitions(int, StoreTypes.RDDPartitionInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
addPartitions(int, StoreTypes.RDDPartitionInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
addPartitions(StoreTypes.RDDPartitionInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
addPartitions(StoreTypes.RDDPartitionInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
addPartitionsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
addPartitionsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
addPartToPGroup(Partition, PartitionGroup) - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer
addPeakExecutionMemory(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double peak_execution_memory = 12;
addPyFile(String) - Method in class org.apache.spark.launcher.AbstractLauncher: Adds a python file / zip / egg to be submitted with the application.
addPyFile(String) - Method in class org.apache.spark.launcher.SparkLauncher
addQuantiles(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double quantiles = 1;
addQuantiles(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated double quantiles = 1;
addQuantiles(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double quantiles = 1;
addRddIds(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated int64 rdd_ids = 43;
addReadBytes(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_bytes = 1;
addReadRecords(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_records = 2;
addRecordsRead(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double records_read = 2;
addRecordsWritten(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double records_written = 2;
addRemoteBlocksFetched(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_blocks_fetched = 3;
addRemoteBytesRead(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read = 6;
addRemoteBytesReadToDisk(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read_to_disk = 7;
addRemoteMergedBlocksFetched(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_blocks_fetched = 3;
addRemoteMergedBytesRead(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_bytes_read = 7;
addRemoteMergedChunksFetched(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_chunks_fetched = 5;
addRemoteMergedReqsDuration(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_reqs_duration = 9;
addRemoteReqsDuration(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_reqs_duration = 9;
addRequest(TaskResourceRequest) - Method in class org.apache.spark.resource.TaskResourceRequests: Add a certain TaskResourceRequest to the request set.
addResourceProfiles(int, StoreTypes.ResourceProfileInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
addResourceProfiles(int, StoreTypes.ResourceProfileInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
addResourceProfiles(StoreTypes.ResourceProfileInfo) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
addResourceProfiles(StoreTypes.ResourceProfileInfo.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
addResourceProfilesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
addResourceProfilesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
address() - Method in class org.apache.spark.BarrierTaskInfo
address() - Method in class org.apache.spark.status.api.v1.RDDDataDistribution
ADDRESS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
addresses() - Method in class org.apache.spark.resource.ResourceInformation
addresses() - Method in class org.apache.spark.resource.ResourceInformationJson
ADDRESSES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
addResultSerializationTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_serialization_time = 9;
addResultSize(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_size = 7;
addSchedulable(Schedulable) - Method in interface org.apache.spark.scheduler.Schedulable
addSchedulerDelay(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double scheduler_delay = 11;
addShuffleRead(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read = 10;
addShuffleReadRecords(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read_records = 11;
addShuffleWrite(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write = 12;
addShuffleWriteRecords(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write_records = 13;
addShutdownHook(int, Function0<BoxedUnit>) - Static method in class org.apache.spark.util.ShutdownHookManager: Adds a shutdown hook with the given priority.
addShutdownHook(Function0<BoxedUnit>) - Static method in class org.apache.spark.util.ShutdownHookManager: Adds a shutdown hook with default priority.
addSkippedStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: repeated int32 skipped_stages = 2;
addSources(int, StoreTypes.SourceProgress) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
addSources(int, StoreTypes.SourceProgress.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
addSources(StoreTypes.SourceProgress) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
addSources(StoreTypes.SourceProgress.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
addSourcesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
addSourcesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
addSparkArg(String) - Method in class org.apache.spark.launcher.AbstractLauncher: Adds a no-value argument to the Spark invocation.
addSparkArg(String) - Method in class org.apache.spark.launcher.SparkLauncher
addSparkArg(String, String) - Method in class org.apache.spark.launcher.AbstractLauncher: Adds an argument with a value to the Spark invocation.
addSparkArg(String, String) - Method in class org.apache.spark.launcher.SparkLauncher
addSparkListener(SparkListenerInterface) - Method in class org.apache.spark.SparkContext: :: DeveloperApi :: Register a listener to receive up-calls from events that happen during execution.
addSparkProperties(int, StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
addSparkProperties(int, StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
addSparkProperties(StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
addSparkProperties(StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
addSparkPropertiesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
addSparkPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
addStageIds(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated int64 stage_ids = 6;
addStageIds(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: repeated int64 stage_ids = 2;
addStages(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated int64 stages = 12;
addStateOperators(int, StoreTypes.StateOperatorProgress) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
addStateOperators(int, StoreTypes.StateOperatorProgress.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
addStateOperators(StoreTypes.StateOperatorProgress) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
addStateOperators(StoreTypes.StateOperatorProgress.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
addStateOperatorsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
addStateOperatorsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
addStreamingListener(StreamingListener) - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Add a StreamingListener object for receiving system events related to streaming.
addStreamingListener(StreamingListener) - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Add a StreamingListener object for receiving system events related to streaming.
addString(String) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by one.
addString(String, long) - Method in class org.apache.spark.util.sketch.CountMinSketch: Increments item's count by count.
addSucceededTasks(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double succeeded_tasks = 4;
addSystemProperties(int, StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
addSystemProperties(int, StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
addSystemProperties(StoreTypes.PairStrings) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
addSystemProperties(StoreTypes.PairStrings.Builder) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
addSystemPropertiesBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
addSystemPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
addTag(String) - Method in class org.apache.spark.sql.SparkSession: Add a tag to be assigned to all the operations started by this thread in this session.
addTaskCompletionListener(TaskCompletionListener) - Method in class org.apache.spark.BarrierTaskContext
addTaskCompletionListener(TaskCompletionListener) - Method in class org.apache.spark.TaskContext: Adds a (Java friendly) listener to be executed on task completion.
addTaskCompletionListener(Function1<TaskContext, U>) - Method in class org.apache.spark.TaskContext: Adds a listener in the form of a Scala closure to be executed on task completion.
addTaskFailureListener(TaskFailureListener) - Method in class org.apache.spark.BarrierTaskContext
addTaskFailureListener(TaskFailureListener) - Method in class org.apache.spark.TaskContext: Adds a listener to be executed on task failure (which includes completion listener failure, if the task body did not already fail).
addTaskFailureListener(Function2<TaskContext, Throwable, BoxedUnit>) - Method in class org.apache.spark.TaskContext: Adds a listener to be executed on task failure (which includes completion listener failure, if the task body did not already fail).
addTaskResourceRequests(SparkConf, TaskResourceRequests) - Static method in class org.apache.spark.resource.ResourceUtils
addTaskSetManager(Schedulable, Properties) - Method in interface org.apache.spark.scheduler.SchedulableBuilder
addTaskTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double task_time = 2;
addTime() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
addTime() - Method in class org.apache.spark.status.api.v1.ProcessSummary
addTotalBlocksFetched(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double total_blocks_fetched = 8;
addURL(URL) - Method in class org.apache.spark.util.MutableURLClassLoader
addV1OverwriteWithSaveAsTableOption() - Method in interface org.apache.spark.sql.connector.catalog.SupportsV1OverwriteWithSaveAsTable: Returns whether to add the "__v1_save_as_table_overwrite" to write operations originating from DataFrameWriter V1 saveAsTable with mode Overwrite.
AddWebUIFilter(String, Map<String, String>, String) - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.AddWebUIFilter
AddWebUIFilter$() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.AddWebUIFilter$
addWriteBytes(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_bytes = 1;
addWriteRecords(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_records = 2;
addWriteTime(double) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_time = 3;
advisoryPartitionSizeInBytes() - Method in interface org.apache.spark.sql.connector.write.RequiresDistributionAndOrdering: Returns the advisory (not guaranteed) shuffle partition size in bytes for this write.
aes_decrypt(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a decrypted value of input.
aes_decrypt(Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a decrypted value of input.
aes_decrypt(Column, Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a decrypted value of input.
aes_decrypt(Column, Column, Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a decrypted value of input using AES in mode with padding.
aes_encrypt(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an encrypted value of input.
aes_encrypt(Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an encrypted value of input.
aes_encrypt(Column, Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an encrypted value of input.
aes_encrypt(Column, Column, Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an encrypted value of input.
aes_encrypt(Column, Column, Column, Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an encrypted value of input using AES in given mode with the specified padding.
after(String) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange.ColumnPosition
AFTSurvivalRegression - Class in org.apache.spark.ml.regression: Fit a parametric survival regression model named accelerated failure time (AFT) model (see Accelerated failure time model (Wikipedia)) based on the Weibull distribution of the survival time.
AFTSurvivalRegression() - Constructor for class org.apache.spark.ml.regression.AFTSurvivalRegression
AFTSurvivalRegression(String) - Constructor for class org.apache.spark.ml.regression.AFTSurvivalRegression
AFTSurvivalRegressionModel - Class in org.apache.spark.ml.regression: Model produced by AFTSurvivalRegression.
AFTSurvivalRegressionModel.Data$ - Class in org.apache.spark.ml.regression
AFTSurvivalRegressionParams - Interface in org.apache.spark.ml.regression: Params for accelerated failure time (AFT) regression.
agg(Map<String, String>) - Method in class org.apache.spark.sql.Dataset: (Java-specific) Aggregates on the entire Dataset without groups.
agg(Map<String, String>) - Method in class org.apache.spark.sql.RelationalGroupedDataset: (Java-specific) Compute aggregates by specifying a map from column name to aggregate methods.
agg(Column, Column...) - Method in class org.apache.spark.sql.Dataset: Aggregates on the entire Dataset without groups.
agg(Column, Column...) - Method in class org.apache.spark.sql.RelationalGroupedDataset: Compute aggregates by specifying a series of aggregate columns.
agg(Column, Seq<Column>) - Method in class org.apache.spark.sql.Dataset: Aggregates on the entire Dataset without groups.
agg(Column, Seq<Column>) - Method in class org.apache.spark.sql.RelationalGroupedDataset: Compute aggregates by specifying a series of aggregate columns.
agg(TypedColumn<V, U1>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregation, returning a Dataset of tuples for each unique key and the result of computing this aggregation over all elements in the group.
agg(TypedColumn<V, U1>, TypedColumn<V, U2>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregations, returning a Dataset of tuples for each unique key and the result of computing these aggregations over all elements in the group.
agg(TypedColumn<V, U1>, TypedColumn<V, U2>, TypedColumn<V, U3>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregations, returning a Dataset of tuples for each unique key and the result of computing these aggregations over all elements in the group.
agg(TypedColumn<V, U1>, TypedColumn<V, U2>, TypedColumn<V, U3>, TypedColumn<V, U4>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregations, returning a Dataset of tuples for each unique key and the result of computing these aggregations over all elements in the group.
agg(TypedColumn<V, U1>, TypedColumn<V, U2>, TypedColumn<V, U3>, TypedColumn<V, U4>, TypedColumn<V, U5>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregations, returning a Dataset of tuples for each unique key and the result of computing these aggregations over all elements in the group.
agg(TypedColumn<V, U1>, TypedColumn<V, U2>, TypedColumn<V, U3>, TypedColumn<V, U4>, TypedColumn<V, U5>, TypedColumn<V, U6>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregations, returning a Dataset of tuples for each unique key and the result of computing these aggregations over all elements in the group.
agg(TypedColumn<V, U1>, TypedColumn<V, U2>, TypedColumn<V, U3>, TypedColumn<V, U4>, TypedColumn<V, U5>, TypedColumn<V, U6>, TypedColumn<V, U7>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregations, returning a Dataset of tuples for each unique key and the result of computing these aggregations over all elements in the group.
agg(TypedColumn<V, U1>, TypedColumn<V, U2>, TypedColumn<V, U3>, TypedColumn<V, U4>, TypedColumn<V, U5>, TypedColumn<V, U6>, TypedColumn<V, U7>, TypedColumn<V, U8>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Computes the given aggregations, returning a Dataset of tuples for each unique key and the result of computing these aggregations over all elements in the group.
agg(Map<String, String>) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Aggregates on the entire Dataset without groups.
agg(Map<String, String>) - Method in class org.apache.spark.sql.RelationalGroupedDataset: (Scala-specific) Compute aggregates by specifying a map from column name to aggregate methods.
agg(Tuple2<String, String>, Seq<Tuple2<String, String>>) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Aggregates on the entire Dataset without groups.
agg(Tuple2<String, String>, Seq<Tuple2<String, String>>) - Method in class org.apache.spark.sql.RelationalGroupedDataset: (Scala-specific) Compute aggregates by specifying the column names and aggregate methods.
aggregate(Column, Column, Function2<Column, Column, Column>) - Static method in class org.apache.spark.sql.functions: Applies a binary operator to an initial state and all elements in the array, and reduces this to a single state.
aggregate(Column, Column, Function2<Column, Column, Column>, Function1<Column, Column>) - Static method in class org.apache.spark.sql.functions: Applies a binary operator to an initial state and all elements in the array, and reduces this to a single state.
aggregate(U, Function2<U, T, U>, Function2<U, U, U>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Aggregate the elements of each partition, and then the results for all the partitions, using given combine functions and a neutral "zero value".
aggregate(U, Function2<U, T, U>, Function2<U, U, U>, ClassTag) - Method in class org.apache.spark.rdd.RDD: Aggregate the elements of each partition, and then the results for all the partitions, using given combine functions and a neutral "zero value".
aggregateByKey(U, int, Function2<U, V, U>, Function2<U, U, U>) - Method in class org.apache.spark.api.java.JavaPairRDD: Aggregate the values of each key, using given combine functions and a neutral "zero value".
aggregateByKey(U, int, Function2<U, V, U>, Function2<U, U, U>, ClassTag) - Method in class org.apache.spark.rdd.PairRDDFunctions: Aggregate the values of each key, using given combine functions and a neutral "zero value".
aggregateByKey(U, Function2<U, V, U>, Function2<U, U, U>) - Method in class org.apache.spark.api.java.JavaPairRDD: Aggregate the values of each key, using given combine functions and a neutral "zero value".
aggregateByKey(U, Partitioner, Function2<U, V, U>, Function2<U, U, U>) - Method in class org.apache.spark.api.java.JavaPairRDD: Aggregate the values of each key, using given combine functions and a neutral "zero value".
aggregateByKey(U, Partitioner, Function2<U, V, U>, Function2<U, U, U>, ClassTag) - Method in class org.apache.spark.rdd.PairRDDFunctions: Aggregate the values of each key, using given combine functions and a neutral "zero value".
aggregateByKey(U, Function2<U, V, U>, Function2<U, U, U>, ClassTag) - Method in class org.apache.spark.rdd.PairRDDFunctions: Aggregate the values of each key, using given combine functions and a neutral "zero value".
AggregatedDialect - Class in org.apache.spark.sql.jdbc: AggregatedDialect can unify multiple dialects into one virtual Dialect.
AggregatedDialect(List<JdbcDialect>) - Constructor for class org.apache.spark.sql.jdbc.AggregatedDialect
aggregateExpressions() - Method in record class org.apache.spark.sql.connector.expressions.aggregate.Aggregation: Returns the value of the aggregateExpressions record component.
AggregateFunc - Interface in org.apache.spark.sql.connector.expressions.aggregate: Base class of the Aggregate Functions.
AggregateFunction<S extends Serializable,R> - Interface in org.apache.spark.sql.connector.catalog.functions: Interface for a function that produces a result value by aggregating over multiple input rows.
aggregateMessages(Function1<EdgeContext<VD, ED, A>, BoxedUnit>, Function2<A, A, A>, TripletFields, ClassTag<A>) - Method in class org.apache.spark.graphx.Graph: Aggregates values from the neighboring edges and vertices of each vertex.
aggregateMessagesWithActiveSet(Function1<EdgeContext<VD, ED, A>, BoxedUnit>, Function2<A, A, A>, TripletFields, Option<Tuple2<VertexRDD<?>, EdgeDirection>>, ClassTag<A>) - Method in class org.apache.spark.graphx.impl.GraphImpl
aggregateTaskMetrics(long[]) - Method in class org.apache.spark.sql.connector.metric.CustomAvgMetric
aggregateTaskMetrics(long[]) - Method in interface org.apache.spark.sql.connector.metric.CustomMetric: Given an array of task metric values, returns aggregated final metric value.
aggregateTaskMetrics(long[]) - Method in class org.apache.spark.sql.connector.metric.CustomSumMetric
aggregateUsingIndex(RDD<Tuple2<Object, VD2>>, Function2<VD2, VD2, VD2>, ClassTag<VD2>) - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
aggregateUsingIndex(RDD<Tuple2<Object, VD2>>, Function2<VD2, VD2, VD2>, ClassTag<VD2>) - Method in class org.apache.spark.graphx.VertexRDD: Aggregates vertices in messages that have the same ids using reduceFunc, returning a VertexRDD co-indexed with this.
AggregatingEdgeContext<VD,ED,A> - Class in org.apache.spark.graphx.impl
AggregatingEdgeContext(Function2<A, A, A>, Object, BitSet) - Constructor for class org.apache.spark.graphx.impl.AggregatingEdgeContext
Aggregation - Record Class in org.apache.spark.sql.connector.expressions.aggregate: Aggregation in SQL statement.
Aggregation(AggregateFunc[], Expression[]) - Constructor for record class org.apache.spark.sql.connector.expressions.aggregate.Aggregation: Creates an instance of a Aggregation record class.
aggregationDepth() - Method in class org.apache.spark.ml.classification.LinearSVC
aggregationDepth() - Method in class org.apache.spark.ml.classification.LinearSVCModel
aggregationDepth() - Method in class org.apache.spark.ml.classification.LogisticRegression
aggregationDepth() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
aggregationDepth() - Method in class org.apache.spark.ml.clustering.GaussianMixture
aggregationDepth() - Method in class org.apache.spark.ml.clustering.GaussianMixtureModel
aggregationDepth() - Method in interface org.apache.spark.ml.param.shared.HasAggregationDepth: Param for suggested depth for treeAggregate (>= 2).
aggregationDepth() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegression
aggregationDepth() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegressionModel
aggregationDepth() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression
aggregationDepth() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel
aggregationDepth() - Method in class org.apache.spark.ml.regression.LinearRegression
aggregationDepth() - Method in class org.apache.spark.ml.regression.LinearRegressionModel
aggregator() - Method in class org.apache.spark.ShuffleDependency
Aggregator<K,V,C> - Class in org.apache.spark: :: DeveloperApi :: A set of functions used to aggregate data.
Aggregator<IN,BUF,OUT> - Class in org.apache.spark.sql.expressions: A base class for user-defined aggregations, which can be used in Dataset operations to take all of the elements of a group and reduce them to a single value.
Aggregator() - Constructor for class org.apache.spark.sql.expressions.Aggregator
Aggregator(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>) - Constructor for class org.apache.spark.Aggregator
aic() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionSummary
aic(RDD<Tuple3<Object, Object, Object>>, double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Binomial$
aic(RDD<Tuple3<Object, Object, Object>>, double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gamma$
aic(RDD<Tuple3<Object, Object, Object>>, double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gaussian$
aic(RDD<Tuple3<Object, Object, Object>>, double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Poisson$
algo() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
algo() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel
algo() - Method in class org.apache.spark.mllib.tree.model.GradientBoostedTreesModel
algo() - Method in class org.apache.spark.mllib.tree.model.RandomForestModel
Algo - Class in org.apache.spark.mllib.tree.configuration: Enum to select the algorithm for the decision tree
Algo() - Constructor for class org.apache.spark.mllib.tree.configuration.Algo
algorithm() - Method in class org.apache.spark.mllib.regression.StreamingLinearRegressionWithSGD
algorithm() - Method in class org.apache.spark.sql.types.GeographyType
alias() - Method in record class org.apache.spark.sql.connector.read.SupportsPushDownJoin.ColumnWithAlias: Returns the value of the alias record component.
alias(String) - Method in class org.apache.spark.sql.Column: Gives the column an alias.
alias(String) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with an alias set.
alias(Symbol) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Returns a new Dataset with an alias set.
All - Static variable in class org.apache.spark.graphx.TripletFields: Expose all the fields (source, edge, and destination).
ALL_GATHER() - Static method in class org.apache.spark.RequestMethod
ALL_REMOVALS_TIME_MS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
ALL_UPDATES_TIME_MS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
allAvailable() - Static method in interface org.apache.spark.sql.connector.read.streaming.ReadLimit
allGather(String) - Method in class org.apache.spark.BarrierTaskContext: :: Experimental :: Blocks until all tasks in the same stage have reached this routine.
AllJobsCancelled - Class in org.apache.spark.scheduler
AllJobsCancelled() - Constructor for class org.apache.spark.scheduler.AllJobsCancelled
allocate(int) - Method in class org.apache.spark.sql.util.NumericHistogram: Sets the number of histogram bins to use for approximating data.
allocator() - Method in class org.apache.spark.storage.memory.SerializedValuesHolder
ALLOW_NEW_FIELDS$() - Constructor for class org.apache.spark.sql.util.SchemaValidationMode.ALLOW_NEW_FIELDS$
ALLOW_NEW_TOP_LEVEL_FIELDS$() - Constructor for class org.apache.spark.sql.util.SchemaValidationMode.ALLOW_NEW_TOP_LEVEL_FIELDS$
AllReceiverIds - Class in org.apache.spark.streaming.scheduler: A message used by ReceiverTracker to ask all receiver's ids still stored in ReceiverTrackerEndpoint.
AllReceiverIds() - Constructor for class org.apache.spark.streaming.scheduler.AllReceiverIds
allRemovalsTimeMs() - Method in class org.apache.spark.sql.streaming.StateOperatorProgress
allSources() - Static method in class org.apache.spark.metrics.source.StaticSources: The set of all static sources.
allSupportedExecutorResources() - Static method in class org.apache.spark.resource.ResourceProfile: Return all supported Spark built-in executor resources, custom resources like GPUs/FPGAs are excluded.
allUpdatesTimeMs() - Method in class org.apache.spark.sql.streaming.StateOperatorProgress
alpha() - Method in class org.apache.spark.ml.recommendation.ALS
alpha() - Method in interface org.apache.spark.ml.recommendation.ALSParams: Param for the alpha parameter in the implicit preference formulation (nonnegative).
alpha() - Method in class org.apache.spark.mllib.random.WeibullGenerator
ALS - Class in org.apache.spark.ml.recommendation: Alternating Least Squares (ALS) matrix factorization.
ALS - Class in org.apache.spark.mllib.recommendation: Alternating Least Squares matrix factorization.
ALS() - Constructor for class org.apache.spark.ml.recommendation.ALS
ALS() - Constructor for class org.apache.spark.mllib.recommendation.ALS: Constructs an ALS instance with default parameters: {numBlocks: -1, rank: 10, iterations: 10, lambda: 0.01, implicitPrefs: false, alpha: 1.0}.
ALS(String) - Constructor for class org.apache.spark.ml.recommendation.ALS
ALS.InBlock$ - Class in org.apache.spark.ml.recommendation
ALS.LeastSquaresNESolver - Interface in org.apache.spark.ml.recommendation: Trait for least squares solvers applied to the normal equation.
ALS.Rating<ID> - Class in org.apache.spark.ml.recommendation: Rating class for better code readability.
ALS.Rating$ - Class in org.apache.spark.ml.recommendation
ALS.RatingBlock$ - Class in org.apache.spark.ml.recommendation
ALSModel - Class in org.apache.spark.ml.recommendation: Model fitted by ALS.
ALSModelParams - Interface in org.apache.spark.ml.recommendation: Common params for ALS and ALSModel.
ALSParams - Interface in org.apache.spark.ml.recommendation: Common params for ALS.
alterNamespace(String[], NamespaceChange...) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
alterNamespace(String[], NamespaceChange...) - Method in interface org.apache.spark.sql.connector.catalog.SupportsNamespaces: Apply a set of metadata changes to a namespace in the catalog.
alterTable(String, Seq<TableChange>, int) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Alter an existing table.
alterTable(String, Seq<TableChange>, int) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
alterTable(Identifier, TableChange...) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
alterTable(Identifier, TableChange...) - Method in interface org.apache.spark.sql.connector.catalog.TableCatalog: Apply a set of changes to a table in the catalog.
alterView(Identifier, ViewChange...) - Method in interface org.apache.spark.sql.connector.catalog.ViewCatalog: Apply changes to a view in the catalog.
AlwaysFalse - Class in org.apache.spark.sql.connector.expressions.filter: A predicate that always evaluates to false.
AlwaysFalse - Class in org.apache.spark.sql.sources: A filter that always evaluates to false.
AlwaysFalse() - Constructor for class org.apache.spark.sql.connector.expressions.filter.AlwaysFalse
AlwaysFalse() - Constructor for class org.apache.spark.sql.sources.AlwaysFalse
AlwaysTrue - Class in org.apache.spark.sql.connector.expressions.filter: A predicate that always evaluates to true.
AlwaysTrue - Class in org.apache.spark.sql.sources: A filter that always evaluates to true.
AlwaysTrue() - Constructor for class org.apache.spark.sql.connector.expressions.filter.AlwaysTrue
AlwaysTrue() - Constructor for class org.apache.spark.sql.sources.AlwaysTrue
am() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RegisterClusterManager
amount() - Method in class org.apache.spark.resource.ExecutorResourceRequest
amount() - Method in class org.apache.spark.resource.ResourceRequest
amount() - Method in class org.apache.spark.resource.TaskResourceRequest
AMOUNT() - Static method in class org.apache.spark.resource.ResourceUtils
AMOUNT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
AMOUNT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
AnalysisException - Exception in org.apache.spark.sql: Thrown when a query fails to analyze, usually because the query itself is invalid.
AnalysisException(String, String, String, Map<String, String>, Option<Throwable>, Option<String>) - Constructor for exception org.apache.spark.sql.AnalysisException: External constructor for callers that want to supply error fields directly, without requiring a local JSON definition for the error class.
AnalysisException(String, Map<String, String>) - Constructor for exception org.apache.spark.sql.AnalysisException
AnalysisException(String, Map<String, String>, QueryContext[], String) - Constructor for exception org.apache.spark.sql.AnalysisException
AnalysisException(String, Map<String, String>, QueryContext[], Option<Throwable>) - Constructor for exception org.apache.spark.sql.AnalysisException
AnalysisException(String, Map<String, String>, Origin) - Constructor for exception org.apache.spark.sql.AnalysisException
AnalysisException(String, Map<String, String>, Origin, Option<Throwable>) - Constructor for exception org.apache.spark.sql.AnalysisException
AnalysisException(String, Map<String, String>, Option<Throwable>) - Constructor for exception org.apache.spark.sql.AnalysisException
AnalysisException(String, Option<Object>, Option<Object>, Option<Throwable>, Option<String>, Map<String, String>, QueryContext[]) - Constructor for exception org.apache.spark.sql.AnalysisException
and(Column) - Method in class org.apache.spark.sql.Column: Boolean AND.
And - Class in org.apache.spark.sql.connector.expressions.filter: A predicate that evaluates to true iff both left and right evaluate to true.
And - Class in org.apache.spark.sql.sources: A filter that evaluates to true iff both left or right evaluate to true.
And(Predicate, Predicate) - Constructor for class org.apache.spark.sql.connector.expressions.filter.And
And(Filter, Filter) - Constructor for class org.apache.spark.sql.sources.And
ANOVATest - Class in org.apache.spark.ml.stat: ANOVA Test for continuous data.
ANOVATest() - Constructor for class org.apache.spark.ml.stat.ANOVATest
antecedent() - Method in class org.apache.spark.mllib.fpm.AssociationRules.Rule
any(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns true if at least one value of e is true.
ANY() - Static method in class org.apache.spark.scheduler.TaskLocality
any_value(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns some value of e for a group of rows.
any_value(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns some value of e for a group of rows.
AnyDataType - Class in org.apache.spark.sql.types: An AbstractDataType that matches any concrete data types.
AnyDataType() - Constructor for class org.apache.spark.sql.types.AnyDataType
anyNull() - Method in interface org.apache.spark.sql.Row: Returns true if there are any NULL values in this row.
anyNull() - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
anyNull() - Method in class org.apache.spark.sql.vectorized.ColumnarRow
AnyTimestampType - Class in org.apache.spark.sql.types
AnyTimestampType() - Constructor for class org.apache.spark.sql.types.AnyTimestampType
AnyTimestampTypeExpression - Class in org.apache.spark.sql.types
AnyTimestampTypeExpression() - Constructor for class org.apache.spark.sql.types.AnyTimestampTypeExpression
API_MODE_CLASSIC() - Static method in class org.apache.spark.sql.SparkSession.Builder
API_MODE_CONNECT() - Static method in class org.apache.spark.sql.SparkSession.Builder
API_MODE_KEY() - Static method in class org.apache.spark.sql.SparkSession.Builder
ApiHelper - Class in org.apache.spark.ui.jobs
ApiHelper() - Constructor for class org.apache.spark.ui.jobs.ApiHelper
ApiRequestContext - Interface in org.apache.spark.status.api.v1
APP_NAME_KEY() - Static method in class org.apache.spark.sql.SparkSession.Builder
APP_SPARK_VERSION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
appAttemptId() - Method in class org.apache.spark.scheduler.SparkListenerApplicationStart
append() - Method in class org.apache.spark.sql.DataFrameWriterV2: Append the contents of the data frame to the output table.
Append - Enum constant in enum class org.apache.spark.sql.SaveMode: Append mode means that when saving a DataFrame to a data source, if data/table already exists, contents of the DataFrame are expected to be appended to existing data.
Append() - Static method in class org.apache.spark.sql.streaming.OutputMode: OutputMode in which only the new rows in the streaming DataFrame/Dataset will be written to the sink.
appendBias(Vector) - Static method in class org.apache.spark.mllib.util.MLUtils: Returns a new vector with 1.0 (bias) appended to the input vector.
appendColumn(StructType, String, DataType, boolean) - Static method in class org.apache.spark.ml.util.SchemaUtils: Appends a new column to the input schema.
appendColumn(StructType, StructField) - Static method in class org.apache.spark.ml.util.SchemaUtils: Appends a new column to the input schema.
appendList(Object) - Method in interface org.apache.spark.sql.streaming.ListState: Function to append a list of entries to the existing state list.
appendValue(S) - Method in interface org.apache.spark.sql.streaming.ListState: Function to append a single entry to the existing state list.
AppHistoryServerPlugin - Interface in org.apache.spark.status: An interface for creating history listeners(to replay event logs) defined in other modules like SQL, and setup the UI of the plugin to rebuild the history UI.
appId() - Method in class org.apache.spark.scheduler.SparkListenerApplicationStart
appId() - Method in interface org.apache.spark.status.api.v1.BaseAppResource
appId() - Method in class org.apache.spark.storage.ShuffleMergedDataBlockId
appId() - Method in class org.apache.spark.storage.ShuffleMergedIndexBlockId
appId() - Method in class org.apache.spark.storage.ShuffleMergedMetaBlockId
APPLICATION_EXECUTOR_LIMIT() - Static method in class org.apache.spark.ui.ToolTips
APPLICATION_MASTER() - Static method in class org.apache.spark.metrics.MetricsSystemInstances
applicationAttemptId() - Method in interface org.apache.spark.scheduler.SchedulerBackend: Get the attempt ID for this run, if the cluster manager supports multiple attempts.
applicationAttemptId() - Method in interface org.apache.spark.scheduler.TaskScheduler: Get an application's attempt ID associated with the job.
applicationAttemptId() - Method in class org.apache.spark.SparkContext
ApplicationAttemptInfo - Class in org.apache.spark.status.api.v1
applicationEndFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
applicationEndToJson(SparkListenerApplicationEnd, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
ApplicationEnvironmentInfo - Class in org.apache.spark.status.api.v1
applicationId() - Method in interface org.apache.spark.scheduler.SchedulerBackend: Get an application ID associated with the job.
applicationId() - Method in interface org.apache.spark.scheduler.TaskScheduler: Get an application ID associated with the job.
applicationId() - Method in class org.apache.spark.SparkContext: A unique identifier for the Spark application.
ApplicationInfo - Class in org.apache.spark.status.api.v1
APPLICATIONS() - Static method in class org.apache.spark.metrics.MetricsSystemInstances
applicationStartFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
applicationStartToJson(SparkListenerApplicationStart, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
ApplicationStatus - Enum Class in org.apache.spark.status.api.v1
apply() - Static method in class org.apache.spark.ml.TransformEnd
apply() - Static method in class org.apache.spark.ml.TransformStart
apply() - Static method in class org.apache.spark.scheduler.local.ReviveOffers
apply() - Static method in class org.apache.spark.scheduler.local.StopExecutor
apply() - Static method in class org.apache.spark.sql.jdbc.DatabricksDialect
apply() - Static method in class org.apache.spark.sql.jdbc.DB2Dialect
apply() - Static method in class org.apache.spark.sql.jdbc.DerbyDialect
apply() - Static method in class org.apache.spark.sql.jdbc.MySQLDialect
apply() - Static method in class org.apache.spark.sql.jdbc.PostgresDialect
apply() - Static method in class org.apache.spark.sql.jdbc.SnowflakeDialect
apply() - Static method in class org.apache.spark.sql.jdbc.TeradataDialect
apply() - Static method in class org.apache.spark.sql.Observation: Observation constructor for creating an anonymous observation.
apply() - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
apply() - Static method in class org.apache.spark.sql.types.TimeType
apply() - Static method in class org.apache.spark.sql.types.YearMonthIntervalType
apply() - Method in class org.apache.spark.util.BestEffortLazyVal
apply() - Method in class org.apache.spark.util.TransientBestEffortLazyVal
apply(boolean, boolean, boolean, boolean, int) - Static method in class org.apache.spark.storage.StorageLevel: :: DeveloperApi :: Create a new StorageLevel object.
apply(boolean, boolean, boolean, int) - Static method in class org.apache.spark.storage.StorageLevel: :: DeveloperApi :: Create a new StorageLevel object without setting useOffHeap.
apply(byte) - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
apply(byte) - Static method in class org.apache.spark.sql.types.YearMonthIntervalType
apply(double) - Static method in class org.apache.spark.sql.types.Decimal
apply(int) - Static method in class org.apache.spark.ErrorMessageFormat
apply(int) - Method in class org.apache.spark.ml.attribute.AttributeGroup: Gets an attribute by its index.
apply(int) - Method in class org.apache.spark.ml.linalg.DenseVector
apply(int) - Method in class org.apache.spark.ml.linalg.SparseVector
apply(int) - Method in interface org.apache.spark.ml.linalg.Vector: Gets the value of the ith element.
apply(int) - Method in class org.apache.spark.mllib.linalg.DenseVector
apply(int) - Method in class org.apache.spark.mllib.linalg.SparseVector
apply(int) - Method in interface org.apache.spark.mllib.linalg.Vector: Gets the value of the ith element.
apply(int) - Static method in class org.apache.spark.mllib.tree.configuration.Algo
apply(int) - Static method in class org.apache.spark.mllib.tree.configuration.EnsembleCombiningStrategy
apply(int) - Static method in class org.apache.spark.mllib.tree.configuration.FeatureType
apply(int) - Static method in class org.apache.spark.mllib.tree.configuration.QuantileStrategy
apply(int) - Static method in class org.apache.spark.rdd.CheckpointState
apply(int) - Static method in class org.apache.spark.rdd.DeterministicLevel
apply(int) - Static method in class org.apache.spark.RequestMethod
apply(int) - Static method in class org.apache.spark.scheduler.SchedulingMode
apply(int) - Static method in class org.apache.spark.scheduler.TaskLocality
apply(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i.
apply(int) - Static method in class org.apache.spark.sql.types.CharType
apply(int) - Static method in class org.apache.spark.sql.types.Decimal
apply(int) - Static method in class org.apache.spark.sql.types.GeographyType: Constructors for GeographyType.
apply(int) - Static method in class org.apache.spark.sql.types.GeometryType: Constructors for GeometryType.
apply(int) - Method in class org.apache.spark.sql.types.StructType
apply(int) - Static method in class org.apache.spark.sql.types.VarcharType
apply(int) - Method in class org.apache.spark.status.RDDPartitionSeq
apply(int) - Static method in class org.apache.spark.storage.LogBlockType
apply(int) - Static method in class org.apache.spark.streaming.scheduler.ReceiverState
apply(int) - Static method in class org.apache.spark.TaskState
apply(int, int) - Method in class org.apache.spark.ml.linalg.DenseMatrix
apply(int, int) - Method in interface org.apache.spark.ml.linalg.Matrix: Gets the (i, j)-th element.
apply(int, int) - Method in class org.apache.spark.ml.linalg.SparseMatrix
apply(int, int) - Method in class org.apache.spark.mllib.linalg.DenseMatrix
apply(int, int) - Method in interface org.apache.spark.mllib.linalg.Matrix: Gets the (i, j)-th element.
apply(int, int) - Method in class org.apache.spark.mllib.linalg.SparseMatrix
apply(int, int) - Static method in class org.apache.spark.sql.types.CharType
apply(int, int) - Static method in class org.apache.spark.sql.types.VarcharType
apply(int, int) - Static method in class org.apache.spark.storage.StorageLevel: :: DeveloperApi :: Create a new StorageLevel object from its integer representation.
apply(int, String) - Static method in class org.apache.spark.sql.types.CharType
apply(int, String) - Static method in class org.apache.spark.sql.types.VarcharType
apply(int, Node) - Static method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.NodeData
apply(int, Node) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.NodeData$
apply(int, Predict, double, boolean) - Static method in class org.apache.spark.mllib.tree.model.Node: Construct a node with nodeIndex, predict, impurity and isLeaf parameters.
apply(long) - Static method in class org.apache.spark.sql.types.Decimal
apply(long) - Static method in class org.apache.spark.streaming.Milliseconds
apply(long) - Static method in class org.apache.spark.streaming.Minutes
apply(long) - Static method in class org.apache.spark.streaming.Seconds
apply(long, int, int) - Static method in class org.apache.spark.sql.types.Decimal
apply(long, TaskMetrics) - Static method in class org.apache.spark.scheduler.RuntimePercentage
apply(DenseMatrix<Object>, DenseMatrix<Object>, DenseMatrix<Object>, Function2<Object, Object, Object>) - Static method in class org.apache.spark.ml.ann.ApplyInPlace
apply(DenseMatrix<Object>, DenseMatrix<Object>, Function1<Object, Object>) - Static method in class org.apache.spark.ml.ann.ApplyInPlace
apply(ObjectInput) - Static method in class org.apache.spark.storage.BlockManagerId
apply(ObjectInput) - Static method in class org.apache.spark.storage.StorageLevel: :: DeveloperApi :: Read StorageLevel object from ObjectInput stream.
apply(Object) - Method in class org.apache.spark.sql.Column: Extracts a value or values from a complex type.
apply(String) - Method in class org.apache.spark.ml.attribute.AttributeGroup: Gets an attribute by its name.
apply(String) - Method in class org.apache.spark.sql.Dataset: Selects column based on the column name and returns it as a Column.
apply(String) - Static method in class org.apache.spark.sql.Observation: Observation constructor for creating a named observation.
apply(String) - Static method in class org.apache.spark.sql.types.Decimal
apply(String) - Static method in class org.apache.spark.sql.types.GeographyType
apply(String) - Static method in class org.apache.spark.sql.types.GeometryType
apply(String) - Static method in class org.apache.spark.sql.types.StringType
apply(String) - Method in class org.apache.spark.sql.types.StructType: Extracts the StructField with the given name.
apply(String) - Static method in class org.apache.spark.storage.BlockId
apply(String, long, Enumeration.Value, ByteBuffer, int, Map<String, Map<String, Object>>) - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.StatusUpdate$: Alternate factory method that takes a ByteBuffer directly for the data field
apply(String, String) - Static method in class org.apache.spark.sql.types.GeographyType
apply(String, String, int, Option<String>) - Static method in class org.apache.spark.storage.BlockManagerId: Returns a BlockManagerId for the given configuration.
apply(String, Expression...) - Static method in class org.apache.spark.sql.connector.expressions.Expressions: Create a logical transform for applying a named transform.
apply(String, EdgeInterpolationAlgorithm) - Static method in class org.apache.spark.sql.types.GeographyType
apply(String, Seq<Expression>) - Static method in class org.apache.spark.sql.connector.expressions.LogicalExpressions
apply(String, Option<Object>, Map<String, String>) - Static method in class org.apache.spark.sql.streaming.SinkProgress
apply(BigDecimal) - Static method in class org.apache.spark.sql.types.Decimal
apply(BigDecimal, int, int) - Static method in class org.apache.spark.sql.types.Decimal
apply(BigInteger) - Static method in class org.apache.spark.sql.types.Decimal
apply(Graph<VD, ED>, A, int, EdgeDirection, Function3<Object, VD, A, VD>, Function1<EdgeTriplet<VD, ED>, Iterator<Tuple2<Object, A>>>, Function2<A, A, A>, ClassTag<VD>, ClassTag<ED>, ClassTag<A>) - Static method in class org.apache.spark.graphx.Pregel: Execute a Pregel-like iterative vertex-parallel abstraction.
apply(VertexRDD<VD>, EdgeRDD<ED>, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.impl.GraphImpl: Create a graph from a VertexRDD and an EdgeRDD with arbitrary replicated vertices.
apply(Param<T>) - Method in class org.apache.spark.ml.param.ParamMap: Gets the value of the input param or its default value if it does not exist.
apply(GeneralizedLinearRegressionBase) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.FamilyAndLink$: Constructs the FamilyAndLink object from a parameter map
apply(Split) - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.SplitData$
apply(BinaryConfusionMatrix) - Method in interface org.apache.spark.mllib.evaluation.binary.BinaryClassificationMetricComputer
apply(BinaryConfusionMatrix) - Static method in class org.apache.spark.mllib.evaluation.binary.FalsePositiveRate
apply(BinaryConfusionMatrix) - Static method in class org.apache.spark.mllib.evaluation.binary.Precision
apply(BinaryConfusionMatrix) - Static method in class org.apache.spark.mllib.evaluation.binary.Recall
apply(Predict) - Static method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.PredictData
apply(Predict) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.PredictData$
apply(Split) - Static method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData
apply(Split) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData$
apply(RDD<Edge<ED>>, VD, StorageLevel, StorageLevel, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.impl.GraphImpl: Create a graph from edges, setting referenced vertices to defaultVertexAttr.
apply(RDD<Tuple2<Object, VD>>, EdgeRDD<?>, VD, Function2<VD, VD, VD>, ClassTag<VD>) - Static method in class org.apache.spark.graphx.VertexRDD: Constructs a VertexRDD from an RDD of vertex-attribute pairs.
apply(RDD<Tuple2<Object, VD>>, EdgeRDD<?>, VD, ClassTag<VD>) - Static method in class org.apache.spark.graphx.VertexRDD: Constructs a VertexRDD from an RDD of vertex-attribute pairs.
apply(RDD<Tuple2<Object, VD>>, RDD<Edge<ED>>, VD, StorageLevel, StorageLevel, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.Graph: Construct a graph from a collection of vertices and edges with attributes.
apply(RDD<Tuple2<Object, VD>>, RDD<Edge<ED>>, VD, StorageLevel, StorageLevel, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.impl.GraphImpl: Create a graph from vertices and edges, setting missing vertices to defaultVertexAttr.
apply(RDD<Tuple2<Object, VD>>, ClassTag<VD>) - Static method in class org.apache.spark.graphx.VertexRDD: Constructs a standalone VertexRDD (one that is not set up for efficient joins with an EdgeRDD) from an RDD of vertex-attribute pairs.
apply(Column...) - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

Creates a Column for this UDAF using given Columns as input arguments.
apply(Column...) - Method in class org.apache.spark.sql.expressions.UserDefinedFunction: Returns an expression that invokes the UDF, using the given arguments.
apply(Row) - Method in class org.apache.spark.mllib.clustering.KMeansModel.Cluster$
apply(Row) - Static method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.NodeData
apply(Row) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.NodeData$
apply(Row) - Static method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.PredictData
apply(Row) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.PredictData$
apply(Row) - Static method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData
apply(Row) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData$
apply(DataType) - Static method in class org.apache.spark.sql.types.ArrayType: Construct a ArrayType object with the given element type.
apply(DataType, DataType) - Static method in class org.apache.spark.sql.types.MapType: Construct a MapType object with the given key type and value type.
apply(Seq<Object>) - Static method in class org.apache.spark.util.StatCounter: Build a StatCounter from a list of values passed as variable-length arguments.
apply(Seq<Column>) - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

Creates a Column for this UDAF using given Columns as input arguments.
apply(Seq<Column>) - Method in class org.apache.spark.sql.expressions.UserDefinedFunction: Returns an expression that invokes the UDF, using the given arguments.
apply(Set<String>) - Method in class org.apache.spark.sql.types.StructType: Returns a StructType containing StructFields of the given names, preserving the original order of fields.
apply(IterableOnce<Object>) - Static method in class org.apache.spark.util.StatCounter: Build a StatCounter from a list of values.
apply(BigDecimal) - Static method in class org.apache.spark.sql.types.Decimal
apply(BigDecimal, int, int) - Static method in class org.apache.spark.sql.types.Decimal
apply(BigInt) - Static method in class org.apache.spark.sql.types.Decimal
apply(T1) - Static method in class org.apache.spark.CleanAccum
apply(T1) - Static method in class org.apache.spark.CleanBroadcast
apply(T1) - Static method in class org.apache.spark.CleanCheckpoint
apply(T1) - Static method in class org.apache.spark.CleanRDD
apply(T1) - Static method in class org.apache.spark.CleanShuffle
apply(T1) - Static method in class org.apache.spark.CleanSparkListener
apply(T1) - Static method in class org.apache.spark.ExecutorRegistered
apply(T1) - Static method in class org.apache.spark.ExecutorRemoved
apply(T1) - Static method in class org.apache.spark.ml.SaveInstanceEnd
apply(T1) - Static method in class org.apache.spark.ml.SaveInstanceStart
apply(T1) - Static method in class org.apache.spark.mllib.feature.ChiSqSelectorModel.SaveLoadV1_0$.Data
apply(T1) - Static method in class org.apache.spark.scheduler.JobFailed
apply(T1) - Static method in class org.apache.spark.scheduler.SparkListenerBlockUpdated
apply(T1) - Static method in class org.apache.spark.scheduler.SparkListenerEnvironmentUpdate
apply(T1) - Static method in class org.apache.spark.scheduler.SparkListenerLogStart
apply(T1) - Static method in class org.apache.spark.scheduler.SparkListenerResourceProfileAdded
apply(T1) - Static method in class org.apache.spark.scheduler.SparkListenerStageCompleted
apply(T1) - Static method in class org.apache.spark.scheduler.SparkListenerTaskGettingResult
apply(T1) - Static method in class org.apache.spark.scheduler.SparkListenerUnpersistRDD
apply(T1) - Static method in class org.apache.spark.sql.sources.IsNotNull
apply(T1) - Static method in class org.apache.spark.sql.sources.IsNull
apply(T1) - Static method in class org.apache.spark.sql.sources.Not
apply(T1) - Static method in class org.apache.spark.sql.types.FixedLength
apply(T1) - Static method in class org.apache.spark.sql.types.MaxLength
apply(T1) - Static method in class org.apache.spark.status.api.v1.StackTrace
apply(T1) - Static method in class org.apache.spark.storage.TaskResultBlockId
apply(T1) - Static method in class org.apache.spark.streaming.Duration
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerBatchCompleted
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerBatchStarted
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerBatchSubmitted
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerOutputOperationCompleted
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerOutputOperationStarted
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerReceiverError
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerReceiverStarted
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerReceiverStopped
apply(T1) - Static method in class org.apache.spark.streaming.scheduler.StreamingListenerStreamingStarted
apply(T1, T2) - Static method in class org.apache.spark.ContextBarrierId
apply(T1, T2) - Static method in class org.apache.spark.ErrorSubInfo
apply(T1, T2) - Static method in class org.apache.spark.ml.feature.LabeledPoint
apply(T1, T2) - Static method in class org.apache.spark.mllib.linalg.distributed.IndexedRow
apply(T1, T2) - Static method in class org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0$.Data
apply(T1, T2) - Static method in class org.apache.spark.mllib.stat.test.BinarySample
apply(T1, T2) - Static method in class org.apache.spark.resource.ResourceInformationJson
apply(T1, T2) - Static method in class org.apache.spark.scheduler.ExcludedExecutor
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerApplicationEnd
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerBlockManagerRemoved
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorUnblacklisted: Deprecated.
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorUnexcluded
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerNodeUnblacklisted: Deprecated.
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerNodeUnexcluded
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerSpeculativeTaskSubmitted
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerStageSubmitted
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerUnschedulableTaskSetAdded
apply(T1, T2) - Static method in class org.apache.spark.scheduler.SparkListenerUnschedulableTaskSetRemoved
apply(T1, T2) - Static method in exception org.apache.spark.ShuffleStatusNotFoundException
apply(T1, T2) - Static method in class org.apache.spark.sql.jdbc.JdbcType
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.And
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.EqualNullSafe
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.EqualTo
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.GreaterThan
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.GreaterThanOrEqual
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.In
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.LessThan
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.LessThanOrEqual
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.Or
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.StringContains
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.StringEndsWith
apply(T1, T2) - Static method in class org.apache.spark.sql.sources.StringStartsWith
apply(T1, T2) - Static method in class org.apache.spark.status.api.v1.sql.Metric
apply(T1, T2) - Static method in class org.apache.spark.storage.BroadcastBlockId
apply(T1, T2) - Static method in class org.apache.spark.storage.CacheId
apply(T1, T2) - Static method in class org.apache.spark.storage.PythonStreamBlockId
apply(T1, T2) - Static method in class org.apache.spark.storage.RDDBlockId
apply(T1, T2) - Static method in class org.apache.spark.storage.StreamBlockId
apply(T1, T2) - Static method in class org.apache.spark.storage.TestLogBlockId
apply(T1, T2, T3) - Static method in class org.apache.spark.ExecutorLostFailure
apply(T1, T2, T3) - Static method in class org.apache.spark.mllib.classification.impl.GLMClassificationModel.SaveLoadV1_0$.Data
apply(T1, T2, T3) - Static method in class org.apache.spark.mllib.classification.NaiveBayesModel.SaveLoadV1_0$.Data
apply(T1, T2, T3) - Static method in class org.apache.spark.mllib.linalg.distributed.MatrixEntry
apply(T1, T2, T3) - Static method in class org.apache.spark.mllib.recommendation.Rating
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.local.KillTask
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.local.StatusUpdate
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorAdded
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorBlacklisted: Deprecated.
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorExcluded
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorRemoved
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerJobEnd
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerMiscellaneousProcessAdded
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerNodeBlacklisted: Deprecated.
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerNodeExcluded
apply(T1, T2, T3) - Static method in class org.apache.spark.scheduler.SparkListenerTaskStart
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedEqualNullSafe
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedEqualTo
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedGreaterThan
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedGreaterThanOrEqual
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedIn
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedLessThan
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedLessThanOrEqual
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedStringContains
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedStringEndsWith
apply(T1, T2, T3) - Static method in class org.apache.spark.sql.sources.CollatedStringStartsWith
apply(T1, T2, T3) - Static method in class org.apache.spark.storage.PythonWorkerLogLine
apply(T1, T2, T3) - Static method in class org.apache.spark.storage.ShuffleBlockId
apply(T1, T2, T3) - Static method in class org.apache.spark.storage.ShuffleChecksumBlockId
apply(T1, T2, T3) - Static method in class org.apache.spark.storage.ShuffleDataBlockId
apply(T1, T2, T3) - Static method in class org.apache.spark.storage.ShuffleIndexBlockId
apply(T1, T2, T3) - Static method in class org.apache.spark.storage.ShuffleMergedBlockId
apply(T1, T2, T3) - Static method in class org.apache.spark.storage.TestLogLine
apply(T1, T2, T3) - Static method in class org.apache.spark.TaskCommitDenied
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.ErrorInfo
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.ErrorStateInfo
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.mllib.classification.NaiveBayesModel.SaveLoadV2_0$.Data
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.mllib.tree.model.Split
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.scheduler.AskPermissionToCommitOutput
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.scheduler.SparkListenerJobStart
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.scheduler.SparkListenerStageExecutorMetrics
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.sql.types.StructField
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.status.api.v1.sql.Node
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.storage.PythonWorkerLogBlockId
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.storage.ShuffleBlockBatchId
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.storage.ShuffleBlockChunkId
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.storage.ShuffleMergedDataBlockId
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.storage.ShuffleMergedIndexBlockId
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.storage.ShuffleMergedMetaBlockId
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.storage.ShufflePushBlockId
apply(T1, T2, T3, T4) - Static method in class org.apache.spark.TaskKilled
apply(T1, T2, T3, T4, T5) - Static method in class org.apache.spark.mllib.feature.VocabWord
apply(T1, T2, T3, T4, T5) - Static method in class org.apache.spark.scheduler.SparkListenerBlockManagerAdded
apply(T1, T2, T3, T4, T5) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorBlacklistedForStage: Deprecated.
apply(T1, T2, T3, T4, T5) - Static method in class org.apache.spark.scheduler.SparkListenerExecutorExcludedForStage
apply(T1, T2, T3, T4, T5) - Static method in class org.apache.spark.scheduler.SparkListenerNodeBlacklistedForStage: Deprecated.
apply(T1, T2, T3, T4, T5) - Static method in class org.apache.spark.scheduler.SparkListenerNodeExcludedForStage
apply(T1, T2, T3, T4, T5, T6) - Static method in class org.apache.spark.FetchFailed
apply(T1, T2, T3, T4, T5, T6) - Static method in class org.apache.spark.streaming.scheduler.BatchInfo
apply(T1, T2, T3, T4, T5, T6, T7) - Static method in class org.apache.spark.scheduler.AccumulableInfo
apply(T1, T2, T3, T4, T5, T6, T7) - Static method in class org.apache.spark.scheduler.SparkListenerApplicationStart
apply(T1, T2, T3, T4, T5, T6, T7) - Static method in class org.apache.spark.scheduler.SparkListenerTaskEnd
apply(T1, T2, T3, T4, T5, T6, T7) - Static method in class org.apache.spark.status.api.v1.ApplicationInfo
apply(T1, T2, T3, T4, T5, T6, T7) - Static method in class org.apache.spark.streaming.scheduler.OutputOperationInfo
apply(T1, T2, T3, T4, T5, T6, T7, T8) - Static method in class org.apache.spark.ExceptionFailure
apply(T1, T2, T3, T4, T5, T6, T7, T8) - Static method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
apply(T1, T2, T3, T4, T5, T6, T7, T8) - Static method in class org.apache.spark.streaming.scheduler.ReceiverInfo
apply(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15) - Static method in class org.apache.spark.status.api.v1.ThreadStackTrace
applyClusterByChanges(Map<String, String>, StructType, Seq<TableChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply ClusterBy changes to a Java map and return the result.
applyClusterByChanges(Transform[], StructType, Seq<TableChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply ClusterBy changes to the partitioning transforms and return the result.
applyClusterByChanges(Map<String, String>, StructType, Seq<TableChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply ClusterBy changes to a map and return the result.
ApplyInPlace - Class in org.apache.spark.ml.ann: Implements in-place application of functions in the arrays
ApplyInPlace() - Constructor for class org.apache.spark.ml.ann.ApplyInPlace
applyNamespaceChanges(Map<String, String>, Seq<NamespaceChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply properties changes to a Java map and return the result.
applyNamespaceChanges(Map<String, String>, Seq<NamespaceChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply properties changes to a map and return the result.
applyPropertiesChanges(Map<String, String>, Seq<TableChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply properties changes to a Java map and return the result.
applyPropertiesChanges(Map<String, String>, Seq<TableChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply properties changes to a map and return the result.
applySchema(JavaRDD<?>, Class<?>) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
As of 1.3.0, replaced by createDataFrame().
applySchema(JavaRDD<Row>, StructType) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
As of 1.3.0, replaced by createDataFrame().
applySchema(RDD<?>, Class<?>) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
As of 1.3.0, replaced by createDataFrame().
applySchema(RDD<Row>, StructType) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
As of 1.3.0, replaced by createDataFrame().
applySchemaChanges(StructType, Seq<TableChange>, Option<String>, String) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Apply schema changes to a schema and return the result.
appName() - Method in class org.apache.spark.api.java.JavaSparkContext
appName() - Method in class org.apache.spark.scheduler.SparkListenerApplicationStart
appName() - Method in class org.apache.spark.SparkContext
appName(String) - Method in class org.apache.spark.sql.SparkSession.Builder
approx_count_distinct(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the approximate number of distinct items in a group.
approx_count_distinct(String, double) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the approximate number of distinct items in a group.
approx_count_distinct(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the approximate number of distinct items in a group.
approx_count_distinct(Column, double) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the approximate number of distinct items in a group.
approx_percentile(Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the approximate percentile of the numeric column col which is the smallest value in the ordered col values (sorted from least to greatest) such that no more than percentage of col values is less than the value or equal to that value.
approxCountDistinct(String) - Static method in class org.apache.spark.sql.functions: Deprecated.
Use approx_count_distinct. Since 2.1.0.
approxCountDistinct(String, double) - Static method in class org.apache.spark.sql.functions: Deprecated.
Use approx_count_distinct. Since 2.1.0.
approxCountDistinct(Column) - Static method in class org.apache.spark.sql.functions: Deprecated.
Use approx_count_distinct. Since 2.1.0.
approxCountDistinct(Column, double) - Static method in class org.apache.spark.sql.functions: Deprecated.
Use approx_count_distinct. Since 2.1.0.
ApproxHist() - Static method in class org.apache.spark.mllib.tree.configuration.QuantileStrategy
ApproximateEvaluator<U,R> - Interface in org.apache.spark.partial: An object that computes a function incrementally by merging in results of type U from multiple tasks.
approxNearestNeighbors(Dataset<?>, Vector, int) - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel: Overloaded method for approxNearestNeighbors.
approxNearestNeighbors(Dataset<?>, Vector, int, String) - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel: Given a large dataset and an item, approximately find at most k items which have the closest distance to the item.
approxQuantile(String[], double[], double) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Calculates the approximate quantiles of numerical columns of a DataFrame.
approxQuantile(String, double[], double) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Calculates the approximate quantiles of a numerical column of a DataFrame.
approxSimilarityJoin(Dataset<?>, Dataset<?>, double) - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel: Overloaded method for approxSimilarityJoin.
approxSimilarityJoin(Dataset<?>, Dataset<?>, double, String) - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel: Join two datasets to approximately find all pairs of rows whose distance are smaller than the threshold.
appSparkVersion() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
AppStatusUtils - Class in org.apache.spark.status
AppStatusUtils() - Constructor for class org.apache.spark.status.AppStatusUtils
archives() - Method in class org.apache.spark.SparkContext
AreaUnderCurve - Class in org.apache.spark.mllib.evaluation: Computes the area under the curve (AUC) using the trapezoidal rule.
AreaUnderCurve() - Constructor for class org.apache.spark.mllib.evaluation.AreaUnderCurve
areaUnderPR() - Method in class org.apache.spark.mllib.evaluation.BinaryClassificationMetrics: Computes the area under the precision-recall curve.
areaUnderROC() - Method in interface org.apache.spark.ml.classification.BinaryClassificationSummary: Computes the area under the receiver operating characteristic (ROC) curve.
areaUnderROC() - Method in class org.apache.spark.ml.classification.BinaryLogisticRegressionSummaryImpl
areaUnderROC() - Method in class org.apache.spark.ml.classification.BinaryRandomForestClassificationSummaryImpl
areaUnderROC() - Method in class org.apache.spark.ml.classification.FMClassificationSummaryImpl
areaUnderROC() - Method in class org.apache.spark.ml.classification.LinearSVCSummaryImpl
areaUnderROC() - Method in class org.apache.spark.mllib.evaluation.BinaryClassificationMetrics: Computes the area under the receiver operating characteristic (ROC) curve.
argmax() - Method in class org.apache.spark.ml.linalg.DenseVector
argmax() - Method in class org.apache.spark.ml.linalg.SparseVector
argmax() - Method in interface org.apache.spark.ml.linalg.Vector: Find the index of a maximal element.
argmax() - Method in class org.apache.spark.mllib.linalg.DenseVector
argmax() - Method in class org.apache.spark.mllib.linalg.SparseVector
argmax() - Method in interface org.apache.spark.mllib.linalg.Vector: Find the index of a maximal element.
arguments() - Method in class org.apache.spark.sql.connector.expressions.ClusterByTransform
arguments() - Method in interface org.apache.spark.sql.connector.expressions.Transform: Returns the arguments passed to the transform function.
ARPACK - Class in org.apache.spark.mllib.linalg: ARPACK routines for MLlib's vectors and matrices.
ARPACK() - Constructor for class org.apache.spark.mllib.linalg.ARPACK
array() - Method in class org.apache.spark.sql.vectorized.ColumnarArray
array(String, String...) - Static method in class org.apache.spark.sql.functions: Creates a new array column.
array(String, Seq<String>) - Static method in class org.apache.spark.sql.functions: Creates a new array column.
array(Column...) - Static method in class org.apache.spark.sql.functions: Creates a new array column.
array(DataType) - Method in class org.apache.spark.sql.ColumnName: Creates a new StructField of type array.
array(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Creates a new array column.
array_agg(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns a list of objects with duplicates.
array_append(Column, Object) - Static method in class org.apache.spark.sql.functions: Returns an ARRAY containing all elements from the source ARRAY as well as the new element.
array_compact(Column) - Static method in class org.apache.spark.sql.functions: Remove all null elements from the given array.
array_contains(Column, Object) - Static method in class org.apache.spark.sql.functions: Returns null if the array is null, true if the array contains value, and false otherwise.
array_distinct(Column) - Static method in class org.apache.spark.sql.functions: Removes duplicate values from the array.
array_except(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an array of the elements in the first array but not in the second array, without duplicates.
array_insert(Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Adds an item into a given array at a specified position
array_intersect(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an array of the elements in the intersection of the given two arrays, without duplicates.
array_join(Column, String) - Static method in class org.apache.spark.sql.functions: Concatenates the elements of column using the delimiter.
array_join(Column, String, String) - Static method in class org.apache.spark.sql.functions: Concatenates the elements of column using the delimiter.
array_max(Column) - Static method in class org.apache.spark.sql.functions: Returns the maximum value in the array.
array_min(Column) - Static method in class org.apache.spark.sql.functions: Returns the minimum value in the array.
array_position(Column, Object) - Static method in class org.apache.spark.sql.functions: Locates the position of the first occurrence of the value in the given array as long.
array_prepend(Column, Object) - Static method in class org.apache.spark.sql.functions: Returns an array containing value as well as all elements from array.
array_remove(Column, Object) - Static method in class org.apache.spark.sql.functions: Remove all elements that equal to element from the given array.
array_repeat(Column, int) - Static method in class org.apache.spark.sql.functions: Creates an array containing the left argument repeated the number of times given by the right argument.
array_repeat(Column, Column) - Static method in class org.apache.spark.sql.functions: Creates an array containing the left argument repeated the number of times given by the right argument.
array_size(Column) - Static method in class org.apache.spark.sql.functions: Returns the total number of elements in the array.
array_sort(Column) - Static method in class org.apache.spark.sql.functions: Sorts the input array in ascending order.
array_sort(Column, Function2<Column, Column, Column>) - Static method in class org.apache.spark.sql.functions: Sorts the input array based on the given comparator function.
array_to_vector(Column) - Static method in class org.apache.spark.ml.functions: Converts a column of array of numeric type into a column of dense vectors in MLlib.
array_union(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns an array of the elements in the union of the given two arrays, without duplicates.
ArrayImplicits - Class in org.apache.spark.util: Implicit methods related to Scala Array.
ArrayImplicits() - Constructor for class org.apache.spark.util.ArrayImplicits
ArrayImplicits.SparkArrayOps<T> - Class in org.apache.spark.util
arrayLengthGt(double) - Static method in class org.apache.spark.ml.param.ParamValidators: Check that the array length is greater than lowerBound.
arrays_overlap(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns true if a1 and a2 have at least one non-null element in common.
arrays_zip(Column...) - Static method in class org.apache.spark.sql.functions: Returns a merged array of structs in which the N-th struct contains all N-th values of input arrays.
arrays_zip(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Returns a merged array of structs in which the N-th struct contains all N-th values of input arrays.
ArrayType - Class in org.apache.spark.sql.types
ArrayType(DataType, boolean) - Constructor for class org.apache.spark.sql.types.ArrayType
arrayValues() - Method in class org.apache.spark.storage.memory.DeserializedValuesHolder
ArrowColumnVector - Class in org.apache.spark.sql.vectorized: A column vector backed by Apache Arrow.
ArrowColumnVector(ValueVector) - Constructor for class org.apache.spark.sql.vectorized.ArrowColumnVector
ArrowUtils - Class in org.apache.spark.sql.util
ArrowUtils() - Constructor for class org.apache.spark.sql.util.ArrowUtils
ArtifactUtils - Class in org.apache.spark.sql.util
ArtifactUtils() - Constructor for class org.apache.spark.sql.util.ArtifactUtils
as(String) - Method in class org.apache.spark.sql.Column: Gives the column an alias.
as(String) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with an alias set.
as(String[]) - Method in class org.apache.spark.sql.Column: Assigns the given aliases to the results of a table generating function.
as(String, Metadata) - Method in class org.apache.spark.sql.Column: Gives the column an alias with metadata.
as(Encoder<K>, Encoder<T>) - Method in class org.apache.spark.sql.RelationalGroupedDataset: Returns a KeyValueGroupedDataset where the data is grouped by the grouping expressions of current RelationalGroupedDataset.
as(Encoder) - Method in class org.apache.spark.sql.Column: Provides a type hint about the expected return value of this column.
as(Encoder) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset where each record has been mapped on to the specified type.
as(Seq<String>) - Method in class org.apache.spark.sql.Column: (Scala-specific) Assigns the given aliases to the results of a table generating function.
as(Symbol) - Method in class org.apache.spark.sql.Column: Gives the column an alias.
as(Symbol) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Returns a new Dataset with an alias set.
asBinary() - Method in interface org.apache.spark.ml.classification.LogisticRegressionSummary: Convenient method for casting to binary logistic regression summary.
asBinary() - Method in interface org.apache.spark.ml.classification.RandomForestClassificationSummary: Convenient method for casting to BinaryRandomForestClassificationSummary.
asBreeze() - Method in interface org.apache.spark.ml.linalg.Matrix: Converts to a breeze matrix.
asBreeze() - Method in interface org.apache.spark.ml.linalg.Vector: Converts the instance to a breeze vector.
asBreeze() - Method in interface org.apache.spark.mllib.linalg.Matrix: Converts to a breeze matrix.
asBreeze() - Method in interface org.apache.spark.mllib.linalg.Vector: Converts the instance to a breeze vector.
asc() - Method in class org.apache.spark.sql.Column: Returns a sort expression based on ascending order of the column.
asc(String) - Static method in class org.apache.spark.sql.functions: Returns a sort expression based on ascending order of the column.
asc_nulls_first() - Method in class org.apache.spark.sql.Column: Returns a sort expression based on ascending order of the column, and null values return before non-null values.
asc_nulls_first(String) - Static method in class org.apache.spark.sql.functions: Returns a sort expression based on ascending order of the column, and null values return before non-null values.
asc_nulls_last() - Method in class org.apache.spark.sql.Column: Returns a sort expression based on ascending order of the column, and null values appear after non-null values.
asc_nulls_last(String) - Static method in class org.apache.spark.sql.functions: Returns a sort expression based on ascending order of the column, and null values appear after non-null values.
asCaseSensitiveMap() - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap: Returns the original case-sensitive map.
ASCENDING - Enum constant in enum class org.apache.spark.sql.connector.expressions.SortDirection
ascii(Column) - Static method in class org.apache.spark.sql.functions: Computes the numeric value of the first character of the string column, and returns the result as an int column.
asFunctionCatalog() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
asFunctionIdentifier() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper
asFunctionIdentifier() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.MultipartIdentifierHelper
asIdentifier() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.MultipartIdentifierHelper
asin(String) - Static method in class org.apache.spark.sql.functions
asin(Column) - Static method in class org.apache.spark.sql.functions
asinh(String) - Static method in class org.apache.spark.sql.functions
asinh(Column) - Static method in class org.apache.spark.sql.functions
asInteraction() - Static method in class org.apache.spark.ml.feature.Dot
asInteraction() - Method in interface org.apache.spark.ml.feature.InteractableTerm: Convert to ColumnInteraction to wrap all interactions.
asIterator() - Method in class org.apache.spark.serializer.DeserializationStream: Read the elements of this stream through an iterator.
asJava() - Method in interface org.apache.spark.sql.util.CloseableIterator
asJavaPairRDD() - Method in class org.apache.spark.api.r.PairwiseRRDD
asJavaRDD() - Method in class org.apache.spark.api.r.RRDD
asJavaRDD() - Method in class org.apache.spark.api.r.StringRRDD
ask(Object) - Method in interface org.apache.spark.api.plugin.PluginContext: Send an RPC to the plugin's driver-side component.
asKeyValueIterator() - Method in class org.apache.spark.serializer.DeserializationStream: Read the elements of this stream through an iterator over key-value pairs.
AskPermissionToCommitOutput - Class in org.apache.spark.scheduler
AskPermissionToCommitOutput(int, int, int, int) - Constructor for class org.apache.spark.scheduler.AskPermissionToCommitOutput
askRpcTimeout(SparkConf) - Static method in class org.apache.spark.util.RpcUtils: Returns the default Spark timeout to use for RPC ask operations.
askStorageEndpoints() - Method in class org.apache.spark.storage.BlockManagerMessages.GetBlockStatus
askStorageEndpoints() - Method in class org.apache.spark.storage.BlockManagerMessages.GetMatchingBlockIds
asML() - Method in class org.apache.spark.mllib.linalg.DenseMatrix
asML() - Method in class org.apache.spark.mllib.linalg.DenseVector
asML() - Method in interface org.apache.spark.mllib.linalg.Matrix: Convert this matrix to the new mllib-local representation.
asML() - Method in class org.apache.spark.mllib.linalg.SparseMatrix
asML() - Method in class org.apache.spark.mllib.linalg.SparseVector
asML() - Method in interface org.apache.spark.mllib.linalg.Vector: Convert this vector to the new mllib-local representation.
asMultipart() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.FunctionIdentifierHelper
asMultipartIdentifier() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper
asNamespaceCatalog() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
asNondeterministic() - Method in class org.apache.spark.sql.expressions.UserDefinedFunction: Updates UserDefinedFunction to nondeterministic.
asNonNullable() - Method in class org.apache.spark.sql.expressions.UserDefinedFunction: Updates UserDefinedFunction to non-nullable.
asNullable() - Method in class org.apache.spark.sql.types.ObjectType
asProcedureCatalog() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
asRDDId() - Method in class org.apache.spark.storage.BlockId
asSchema() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.ColumnsHelper
assert_true(Column) - Static method in class org.apache.spark.sql.functions: Returns null if the condition is true, and throws an exception otherwise.
assert_true(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns null if the condition is true; throws an exception with the error message otherwise.
assertExceptionMsg(Throwable, String, boolean, ClassTag<E>) - Static method in class org.apache.spark.TestUtils: Asserts that exception message contains the message.
assertNotSpilled(SparkContext, String, Function0<BoxedUnit>) - Static method in class org.apache.spark.TestUtils: Run some code involving jobs submitted to the given context and assert that the jobs did not spill.
assertSpilled(SparkContext, String, Function0<BoxedUnit>) - Static method in class org.apache.spark.TestUtils: Run some code involving jobs submitted to the given context and assert that the jobs spilled.
assignClusters(Dataset<?>) - Method in class org.apache.spark.ml.clustering.PowerIterationClustering: Run the PIC algorithm and returns a cluster assignment for each input vertex.
assignedAddrs() - Method in interface org.apache.spark.resource.ResourceAllocator: Sequence of currently assigned resource addresses.
Assignment(long, int) - Constructor for class org.apache.spark.mllib.clustering.PowerIterationClustering.Assignment
Assignment$() - Constructor for class org.apache.spark.mllib.clustering.PowerIterationClustering.Assignment$
assignments() - Method in class org.apache.spark.mllib.clustering.PowerIterationClusteringModel
associationRules() - Method in class org.apache.spark.ml.fpm.FPGrowthModel: Get association rules fitted using the minConfidence.
AssociationRules - Class in org.apache.spark.ml.fpm
AssociationRules - Class in org.apache.spark.mllib.fpm: Generates association rules from a RDD[FreqItemset[Item}.
AssociationRules() - Constructor for class org.apache.spark.ml.fpm.AssociationRules
AssociationRules() - Constructor for class org.apache.spark.mllib.fpm.AssociationRules: Constructs a default instance with default parameters {minConfidence = 0.8}.
AssociationRules.Rule<Item> - Class in org.apache.spark.mllib.fpm: An association rule between sets of items.
asTableCatalog() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
asTableIdentifier() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper
asTableIdentifier() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.MultipartIdentifierHelper
AsTableIdentifier() - Constructor for class org.apache.spark.sql.connector.catalog.LookupCatalog.AsTableIdentifier
AsTableIdentifier() - Method in interface org.apache.spark.sql.connector.catalog.LookupCatalog
AsTableIdentifier$() - Constructor for class org.apache.spark.sql.connector.catalog.LookupCatalog.AsTableIdentifier$
asTableIdentifierOpt(Option<String>) - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper: Tries to convert catalog identifier to the table identifier.
asTerms() - Static method in class org.apache.spark.ml.feature.Dot
asTerms() - Static method in class org.apache.spark.ml.feature.EmptyTerm
asTerms() - Method in interface org.apache.spark.ml.feature.Term: Default representation of a single Term as a part of summed terms.
asTransform() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.BucketSpecHelper
asTransform() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.ClusterByHelper
asTransforms() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.PartitionTypeHelper
AsyncEventQueue - Class in org.apache.spark.scheduler: An asynchronous queue for events.
AsyncEventQueue(String, SparkConf, LiveListenerBusMetrics, LiveListenerBus) - Constructor for class org.apache.spark.scheduler.AsyncEventQueue
AsyncRDDActions<T> - Class in org.apache.spark.rdd: A set of asynchronous RDD actions available through an implicit conversion.
AsyncRDDActions(RDD<T>, ClassTag<T>) - Constructor for class org.apache.spark.rdd.AsyncRDDActions
atan(String) - Static method in class org.apache.spark.sql.functions
atan(Column) - Static method in class org.apache.spark.sql.functions
atan2(double, String) - Static method in class org.apache.spark.sql.functions
atan2(double, Column) - Static method in class org.apache.spark.sql.functions
atan2(String, double) - Static method in class org.apache.spark.sql.functions
atan2(String, String) - Static method in class org.apache.spark.sql.functions
atan2(String, Column) - Static method in class org.apache.spark.sql.functions
atan2(Column, double) - Static method in class org.apache.spark.sql.functions
atan2(Column, String) - Static method in class org.apache.spark.sql.functions
atan2(Column, Column) - Static method in class org.apache.spark.sql.functions
atanh(String) - Static method in class org.apache.spark.sql.functions
atanh(Column) - Static method in class org.apache.spark.sql.functions
attempt() - Method in class org.apache.spark.status.api.v1.TaskData
ATTEMPT() - Static method in class org.apache.spark.status.TaskIndexNames
ATTEMPT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
ATTEMPT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
ATTEMPT_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
ATTEMPT_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
attemptId() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
attemptId() - Method in interface org.apache.spark.status.api.v1.BaseAppResource
attemptId() - Method in class org.apache.spark.status.api.v1.StageData
attemptNumber() - Method in class org.apache.spark.BarrierTaskContext
attemptNumber() - Method in class org.apache.spark.scheduler.AskPermissionToCommitOutput
attemptNumber() - Method in class org.apache.spark.scheduler.StageInfo
attemptNumber() - Method in class org.apache.spark.scheduler.TaskInfo
attemptNumber() - Method in class org.apache.spark.TaskCommitDenied
attemptNumber() - Method in class org.apache.spark.TaskContext: How many times this task has been attempted.
attempts() - Method in class org.apache.spark.status.api.v1.ApplicationInfo
ATTEMPTS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
AtTimestamp(Date) - Constructor for class org.apache.spark.streaming.kinesis.KinesisInitialPositions.AtTimestamp
attr() - Method in class org.apache.spark.graphx.Edge
attr() - Method in class org.apache.spark.graphx.EdgeContext: The attribute associated with the edge.
attr() - Method in class org.apache.spark.graphx.impl.AggregatingEdgeContext
attribute() - Method in class org.apache.spark.sql.sources.CollatedEqualNullSafe
attribute() - Method in class org.apache.spark.sql.sources.CollatedEqualTo
attribute() - Method in class org.apache.spark.sql.sources.CollatedGreaterThan
attribute() - Method in class org.apache.spark.sql.sources.CollatedGreaterThanOrEqual
attribute() - Method in class org.apache.spark.sql.sources.CollatedIn
attribute() - Method in class org.apache.spark.sql.sources.CollatedLessThan
attribute() - Method in class org.apache.spark.sql.sources.CollatedLessThanOrEqual
attribute() - Method in class org.apache.spark.sql.sources.CollatedStringContains
attribute() - Method in class org.apache.spark.sql.sources.CollatedStringEndsWith
attribute() - Method in class org.apache.spark.sql.sources.CollatedStringStartsWith
attribute() - Method in class org.apache.spark.sql.sources.EqualNullSafe
attribute() - Method in class org.apache.spark.sql.sources.EqualTo
attribute() - Method in class org.apache.spark.sql.sources.GreaterThan
attribute() - Method in class org.apache.spark.sql.sources.GreaterThanOrEqual
attribute() - Method in class org.apache.spark.sql.sources.In
attribute() - Method in class org.apache.spark.sql.sources.IsNotNull
attribute() - Method in class org.apache.spark.sql.sources.IsNull
attribute() - Method in class org.apache.spark.sql.sources.LessThan
attribute() - Method in class org.apache.spark.sql.sources.LessThanOrEqual
attribute() - Method in class org.apache.spark.sql.sources.StringContains
attribute() - Method in class org.apache.spark.sql.sources.StringEndsWith
attribute() - Method in class org.apache.spark.sql.sources.StringStartsWith
Attribute - Class in org.apache.spark.ml.attribute: Abstract class for ML attributes.
Attribute() - Constructor for class org.apache.spark.ml.attribute.Attribute
AttributeFactory - Interface in org.apache.spark.ml.attribute: Trait for ML attribute factories.
AttributeGroup - Class in org.apache.spark.ml.attribute: Attributes that describe a vector ML column.
AttributeGroup(String) - Constructor for class org.apache.spark.ml.attribute.AttributeGroup: Creates an attribute group without attribute info.
AttributeGroup(String, int) - Constructor for class org.apache.spark.ml.attribute.AttributeGroup: Creates an attribute group knowing only the number of attributes.
AttributeGroup(String, Attribute[]) - Constructor for class org.apache.spark.ml.attribute.AttributeGroup: Creates an attribute group with attributes.
AttributeKeys - Class in org.apache.spark.ml.attribute: Keys used to store attributes.
AttributeKeys() - Constructor for class org.apache.spark.ml.attribute.AttributeKeys
attributes() - Method in class org.apache.spark.ml.attribute.AttributeGroup: Optional array of attributes.
attributes() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RegisterExecutor
attributes() - Method in class org.apache.spark.scheduler.cluster.ExecutorInfo
attributes() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
ATTRIBUTES() - Static method in class org.apache.spark.ml.attribute.AttributeKeys
ATTRIBUTES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
AttributeType - Class in org.apache.spark.ml.attribute: An enum-like type for attribute types: AttributeType$.Numeric, AttributeType$.Nominal, and AttributeType$.Binary.
AttributeType(String) - Constructor for class org.apache.spark.ml.attribute.AttributeType
attrType() - Method in class org.apache.spark.ml.attribute.Attribute: Attribute type.
attrType() - Method in class org.apache.spark.ml.attribute.BinaryAttribute
attrType() - Method in class org.apache.spark.ml.attribute.NominalAttribute
attrType() - Method in class org.apache.spark.ml.attribute.NumericAttribute
attrType() - Static method in class org.apache.spark.ml.attribute.UnresolvedAttribute
AUTOMATIC_SCHEMA_EVOLUTION - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableCapability: Signals that table supports Spark altering the schema if necessary as part of an operation.
available() - Method in class org.apache.spark.io.NioBufferedFileInputStream
available() - Method in class org.apache.spark.io.ReadAheadInputStream
available() - Method in class org.apache.spark.storage.BufferReleasingInputStream
availableAddrs() - Method in interface org.apache.spark.resource.ResourceAllocator: Sequence of currently available resource addresses which are not fully assigned.
AvailableNow() - Static method in class org.apache.spark.sql.streaming.Trigger: A trigger that processes all available data at the start of the query in one or multiple batches, then terminates the query.
Average() - Static method in class org.apache.spark.mllib.tree.configuration.EnsembleCombiningStrategy
AVERAGE_METRIC() - Static method in class org.apache.spark.util.MetricUtils
avg() - Method in class org.apache.spark.util.DoubleAccumulator: Returns the average of elements added to the accumulator.
avg() - Method in class org.apache.spark.util.LongAccumulator: Returns the average of elements added to the accumulator.
avg(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the average of the values in a group.
avg(String...) - Method in class org.apache.spark.sql.RelationalGroupedDataset: Compute the mean value for each numeric columns for each group.
avg(MapFunction<T, Double>) - Static method in class org.apache.spark.sql.expressions.javalang.typed: Deprecated.

Average aggregate function.
avg(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the average of the values in a group.
avg(Seq<String>) - Method in class org.apache.spark.sql.RelationalGroupedDataset: Compute the mean value for each numeric columns for each group.
avg(Function1<IN, Object>) - Static method in class org.apache.spark.sql.expressions.scalalang.typed: Deprecated.

Average aggregate function.
Avg - Class in org.apache.spark.sql.connector.expressions.aggregate: An aggregate function that returns the mean of all the values in a group.
Avg(Expression, boolean) - Constructor for class org.apache.spark.sql.connector.expressions.aggregate.Avg
avgEventRate() - Method in class org.apache.spark.status.api.v1.streaming.ReceiverInfo
avgInputRate() - Method in class org.apache.spark.status.api.v1.streaming.StreamingStatistics
avgLen() - Method in interface org.apache.spark.sql.connector.read.colstats.ColumnStatistics
avgMetrics() - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
avgProcessingTime() - Method in class org.apache.spark.status.api.v1.streaming.StreamingStatistics
avgSchedulingDelay() - Method in class org.apache.spark.status.api.v1.streaming.StreamingStatistics
avgTotalDelay() - Method in class org.apache.spark.status.api.v1.streaming.StreamingStatistics
awaitAnyTermination() - Method in class org.apache.spark.sql.streaming.StreamingQueryManager: Wait until any of the queries on the associated SQLContext has terminated since the creation of the context, or since resetTerminated() was called.
awaitAnyTermination(long) - Method in class org.apache.spark.sql.streaming.StreamingQueryManager: Wait until any of the queries on the associated SQLContext has terminated since the creation of the context, or since resetTerminated() was called.
awaitReady(Awaitable<T>, Duration) - Static method in class org.apache.spark.util.ThreadUtils: Preferred alternative to Await.ready().
awaitResult(Future<T>, Duration) - Static method in class org.apache.spark.util.ThreadUtils
awaitResult(Awaitable<T>, Duration) - Static method in class org.apache.spark.util.SparkThreadUtils: Preferred alternative to Await.result().
awaitResult(Awaitable<T>, Duration) - Static method in class org.apache.spark.util.ThreadUtils: Preferred alternative to Await.result().
awaitResultNoSparkExceptionConversion(Awaitable<T>, Duration) - Static method in class org.apache.spark.util.SparkThreadUtils
awaitTermination() - Method in interface org.apache.spark.sql.streaming.StreamingQuery: Waits for the termination of this query, either by query.stop() or by an exception.
awaitTermination() - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Wait for the execution to stop.
awaitTermination() - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Wait for the execution to stop.
awaitTermination(long) - Method in interface org.apache.spark.sql.streaming.StreamingQuery: Waits for the termination of this query, either by query.stop() or by an exception.
awaitTerminationOrTimeout(long) - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Wait for the execution to stop.
awaitTerminationOrTimeout(long) - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Wait for the execution to stop.
axpy(double, Vector, Vector) - Static method in class org.apache.spark.ml.linalg.BLAS: y += a * x
axpy(double, Vector, Vector) - Static method in class org.apache.spark.mllib.linalg.BLAS: y += a * x

B

BACKUP_STANDALONE_MASTER_PREFIX() - Static method in class org.apache.spark.util.Utils: An identifier that backup masters use in their responses.
balanceSlack() - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer
barrier() - Method in class org.apache.spark.BarrierTaskContext: :: Experimental :: Sets a global barrier and waits until all tasks in this stage hit this barrier.
barrier() - Method in class org.apache.spark.rdd.RDD: :: Experimental :: Marks the current stage as a barrier stage, where Spark must launch all tasks together.
BARRIER() - Static method in class org.apache.spark.RequestMethod
BARRIER_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
BarrierCoordinatorMessage - Interface in org.apache.spark
BarrierTaskContext - Class in org.apache.spark: :: Experimental :: A TaskContext with extra contextual info and tooling for tasks in a barrier stage.
BarrierTaskInfo - Class in org.apache.spark: :: Experimental :: Carries all task infos of a barrier task.
base64(Column) - Static method in class org.apache.spark.sql.functions: Computes the BASE64 encoding of a binary column and returns it as a string column.
BaseAppResource - Interface in org.apache.spark.status.api.v1: Base class for resource handlers that use app-specific data.
baseOn(ParamMap) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Sets the given parameters in this grid to fixed values.
baseOn(ParamPair<?>...) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Sets the given parameters in this grid to fixed values.
baseOn(Seq<ParamPair<?>>) - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Sets the given parameters in this grid to fixed values.
BaseReadWrite - Interface in org.apache.spark.ml.util: Trait for MLWriter and MLReader.
BaseRelation - Class in org.apache.spark.sql.sources: Represents a collection of tuples with a known schema.
BaseRelation() - Constructor for class org.apache.spark.sql.sources.BaseRelation
baseRelationToDataFrame(BaseRelation) - Method in class org.apache.spark.sql.SparkSession: Convert a BaseRelation created for external data sources into a DataFrame.
baseRelationToDataFrame(BaseRelation) - Method in class org.apache.spark.sql.SQLContext: Convert a BaseRelation created for external data sources into a DataFrame.
BaseRRDD<T,U> - Class in org.apache.spark.api.r
BaseRRDD(RDD<T>, int, byte[], String, String, byte[], Broadcast<Object>[], ClassTag<T>, ClassTag) - Constructor for class org.apache.spark.api.r.BaseRRDD
BaseStreamingAppResource - Interface in org.apache.spark.status.api.v1.streaming: Base class for streaming API handlers, provides easy access to the streaming listener that holds the app's information.
BasicBlockReplicationPolicy - Class in org.apache.spark.storage
BasicBlockReplicationPolicy() - Constructor for class org.apache.spark.storage.BasicBlockReplicationPolicy
basicCredentials(String, String) - Method in class org.apache.spark.streaming.kinesis.SparkAWSCredentials.Builder: Use a basic AWS keypair for long-lived authorization.
basicSparkPage(HttpServletRequest, Function0<Seq<Node>>, String, boolean) - Static method in class org.apache.spark.ui.UIUtils: Returns a page with the spark css/js and a simple format.
Batch - Interface in org.apache.spark.sql.connector.read: A physical representation of a data source scan for batch queries.
BATCH_DURATION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
BATCH_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
BATCH_READ - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableCapability: Signals that the table supports reads in batch execution mode.
BATCH_WRITE - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableCapability: Signals that the table supports append writes in batch execution mode.
batchDuration() - Method in class org.apache.spark.sql.streaming.StreamingQueryProgress
batchDuration() - Method in class org.apache.spark.status.api.v1.streaming.BatchInfo
batchDuration() - Method in class org.apache.spark.status.api.v1.streaming.StreamingStatistics
BATCHES() - Static method in class org.apache.spark.mllib.clustering.StreamingKMeans
batchId() - Method in class org.apache.spark.sql.streaming.StreamingQueryProgress
batchId() - Method in class org.apache.spark.status.api.v1.streaming.BatchInfo
batchInfo() - Method in class org.apache.spark.streaming.scheduler.StreamingListenerBatchCompleted
batchInfo() - Method in class org.apache.spark.streaming.scheduler.StreamingListenerBatchStarted
batchInfo() - Method in class org.apache.spark.streaming.scheduler.StreamingListenerBatchSubmitted
BatchInfo - Class in org.apache.spark.status.api.v1.streaming
BatchInfo - Class in org.apache.spark.streaming.scheduler: :: DeveloperApi :: Class having information on completed batches.
BatchInfo(Time, Map<Object, StreamInputInfo>, long, Option<Object>, Option<Object>, Map<Object, OutputOperationInfo>) - Constructor for class org.apache.spark.streaming.scheduler.BatchInfo
batchInfos() - Method in class org.apache.spark.streaming.scheduler.StatsReportListener
BatchStatus - Enum Class in org.apache.spark.status.api.v1.streaming
batchTime() - Method in class org.apache.spark.status.api.v1.streaming.BatchInfo
batchTime() - Method in class org.apache.spark.streaming.scheduler.BatchInfo
batchTime() - Method in class org.apache.spark.streaming.scheduler.OutputOperationInfo
BatchWrite - Interface in org.apache.spark.sql.connector.write: An interface that defines how to write the data to data source for batch processing.
bbos() - Method in class org.apache.spark.storage.memory.SerializedValuesHolder
bean(Class<T>) - Static method in class org.apache.spark.sql.Encoders: Creates an encoder for Java Bean of type T.
beforeFetch(Connection, JDBCOptions) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Override connection specific properties to run before a select is made.
beforeFetch(Connection, JDBCOptions) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
beforeFetch(Connection, Map<String, String>) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Deprecated.
Use beforeFetch(Connection, JDBCOptions) instead. Since 4.2.0.
beforeFetch(Connection, Map<String, String>) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
beforeFetch(Connection, Map<String, String>) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
BernoulliCellSampler<T> - Class in org.apache.spark.util.random: :: DeveloperApi :: A sampler based on Bernoulli trials for partitioning a data sequence.
BernoulliCellSampler(double, double, boolean) - Constructor for class org.apache.spark.util.random.BernoulliCellSampler
BernoulliSampler<T> - Class in org.apache.spark.util.random: :: DeveloperApi :: A sampler based on Bernoulli trials.
BernoulliSampler(double, ClassTag<T>) - Constructor for class org.apache.spark.util.random.BernoulliSampler
BestEffortLazyVal<T> - Class in org.apache.spark.util: A lock-free implementation of a lazily-initialized variable.
BestEffortLazyVal(Function0<T>) - Constructor for class org.apache.spark.util.BestEffortLazyVal
bestModel() - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
bestModel() - Method in class org.apache.spark.ml.tuning.TrainValidationSplitModel
beta() - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator: The beta value, which controls precision vs recall weighting, used in "weightedFMeasure", "fMeasureByLabel".
beta() - Method in class org.apache.spark.mllib.random.WeibullGenerator
between(Object, Object) - Method in class org.apache.spark.sql.Column: True if the current column is between the lower bound and upper bound, inclusive.
bin(String) - Static method in class org.apache.spark.sql.functions: An expression that returns the string representation of the binary value of the given long column.
bin(Column) - Static method in class org.apache.spark.sql.functions: An expression that returns the string representation of the binary value of the given long column.
Binarizer - Class in org.apache.spark.ml.feature: Binarize a column of continuous features given a threshold.
Binarizer() - Constructor for class org.apache.spark.ml.feature.Binarizer
Binarizer(String) - Constructor for class org.apache.spark.ml.feature.Binarizer
binary() - Method in class org.apache.spark.ml.feature.CountVectorizer
binary() - Method in class org.apache.spark.ml.feature.CountVectorizerModel
binary() - Method in interface org.apache.spark.ml.feature.CountVectorizerParams: Binary toggle to control the output vector values.
binary() - Method in class org.apache.spark.ml.feature.HashingTF: Binary toggle to control term frequency counts.
binary() - Method in class org.apache.spark.sql.ColumnName: Creates a new StructField of type binary.
Binary() - Static method in class org.apache.spark.ml.attribute.AttributeType: Binary type.
BINARY() - Static method in class org.apache.spark.sql.Encoders: An encoder for arrays of bytes.
BINARY_DOUBLE() - Static method in class org.apache.spark.sql.jdbc.OracleDialect
BINARY_FLOAT() - Static method in class org.apache.spark.sql.jdbc.OracleDialect
BinaryAttribute - Class in org.apache.spark.ml.attribute: A binary attribute.
BinaryClassificationEvaluator - Class in org.apache.spark.ml.evaluation: Evaluator for binary classification, which expects input columns rawPrediction, label and an optional weight column.
BinaryClassificationEvaluator() - Constructor for class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
BinaryClassificationEvaluator(String) - Constructor for class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
BinaryClassificationMetricComputer - Interface in org.apache.spark.mllib.evaluation.binary: Trait for a binary classification evaluation metric computer.
BinaryClassificationMetrics - Class in org.apache.spark.mllib.evaluation: Evaluator for binary classification.
BinaryClassificationMetrics(RDD<? extends Product>, int) - Constructor for class org.apache.spark.mllib.evaluation.BinaryClassificationMetrics
BinaryClassificationMetrics(RDD<Tuple2<Object, Object>>) - Constructor for class org.apache.spark.mllib.evaluation.BinaryClassificationMetrics: Defaults numBins to 0.
BinaryClassificationSummary - Interface in org.apache.spark.ml.classification: Abstraction for binary classification results for a given model.
binaryColumn(String[]) - Static method in class org.apache.parquet.filter2.predicate.SparkFilterApi
BinaryConfusionMatrix - Interface in org.apache.spark.mllib.evaluation.binary: Trait for a binary confusion matrix.
binaryFiles(String) - Method in class org.apache.spark.api.java.JavaSparkContext: Read a directory of binary files from HDFS, a local file system (available on all nodes), or any Hadoop-supported file system URI as a byte array.
binaryFiles(String, int) - Method in class org.apache.spark.api.java.JavaSparkContext: Read a directory of binary files from HDFS, a local file system (available on all nodes), or any Hadoop-supported file system URI as a byte array.
binaryFiles(String, int) - Method in class org.apache.spark.SparkContext: Get an RDD for a Hadoop-readable dataset as PortableDataStream for each file (useful for binary data)
binaryLabelValidator() - Static method in class org.apache.spark.mllib.util.DataValidators: Function to check if labels used for classification are either zero or one.
BinaryLogisticRegressionSummary - Interface in org.apache.spark.ml.classification: Abstraction for binary logistic regression results for a given model.
BinaryLogisticRegressionSummaryImpl - Class in org.apache.spark.ml.classification: Binary logistic regression results for a given model.
BinaryLogisticRegressionSummaryImpl(Dataset<Row>, String, String, String, String, String) - Constructor for class org.apache.spark.ml.classification.BinaryLogisticRegressionSummaryImpl
BinaryLogisticRegressionTrainingSummary - Interface in org.apache.spark.ml.classification: Abstraction for binary logistic regression training results.
BinaryLogisticRegressionTrainingSummaryImpl - Class in org.apache.spark.ml.classification: Binary logistic regression training results.
BinaryLogisticRegressionTrainingSummaryImpl(Dataset<Row>, String, String, String, String, String, double[]) - Constructor for class org.apache.spark.ml.classification.BinaryLogisticRegressionTrainingSummaryImpl
BinaryRandomForestClassificationSummary - Interface in org.apache.spark.ml.classification: Abstraction for BinaryRandomForestClassification results for a given model.
BinaryRandomForestClassificationSummaryImpl - Class in org.apache.spark.ml.classification: Binary RandomForestClassification for a given model.
BinaryRandomForestClassificationSummaryImpl(Dataset<Row>, String, String, String, String) - Constructor for class org.apache.spark.ml.classification.BinaryRandomForestClassificationSummaryImpl
BinaryRandomForestClassificationTrainingSummary - Interface in org.apache.spark.ml.classification: Abstraction for BinaryRandomForestClassification training results.
BinaryRandomForestClassificationTrainingSummaryImpl - Class in org.apache.spark.ml.classification: Binary RandomForestClassification training results.
BinaryRandomForestClassificationTrainingSummaryImpl(Dataset<Row>, String, String, String, String, double[]) - Constructor for class org.apache.spark.ml.classification.BinaryRandomForestClassificationTrainingSummaryImpl
binaryRecords(String, int) - Method in class org.apache.spark.api.java.JavaSparkContext: Load data from a flat binary file, assuming the length of each record is constant.
binaryRecords(String, int, Configuration) - Method in class org.apache.spark.SparkContext: Load data from a flat binary file, assuming the length of each record is constant.
binaryRecordsStream(String, int) - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them as flat binary files with fixed record lengths, yielding byte arrays
binaryRecordsStream(String, int) - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them as flat binary files, assuming a fixed length per record, generating one byte array per record.
BinarySample - Class in org.apache.spark.mllib.stat.test: Class that represents the group and value of a sample.
BinarySample(boolean, double) - Constructor for class org.apache.spark.mllib.stat.test.BinarySample
binarySummary() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel: Gets summary of model on training set.
binarySummary() - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel: Gets summary of model on training set.
BinaryType - Class in org.apache.spark.sql.types: The data type representing Array[Byte] values.
BinaryType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the BinaryType object.
BinaryType() - Constructor for class org.apache.spark.sql.types.BinaryType
bind(StructType) - Method in interface org.apache.spark.sql.connector.catalog.functions.SimpleFunction
bind(StructType) - Method in interface org.apache.spark.sql.connector.catalog.functions.UnboundFunction: Bind this function to an input type.
bind(StructType) - Method in interface org.apache.spark.sql.connector.catalog.procedures.SimpleProcedure
bind(StructType) - Method in interface org.apache.spark.sql.connector.catalog.procedures.UnboundProcedure: Binds this procedure to input types.
Binomial$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.Binomial$
BinomialBounds - Class in org.apache.spark.util.random: Utility functions that help us determine bounds on adjusted sampling rate to guarantee exact sample size with high confidence when sampling without replacement.
BinomialBounds() - Constructor for class org.apache.spark.util.random.BinomialBounds
bins() - Method in interface org.apache.spark.sql.connector.read.colstats.Histogram
BisectingKMeans - Class in org.apache.spark.ml.clustering: A bisecting k-means algorithm based on the paper "A comparison of document clustering techniques" by Steinbach, Karypis, and Kumar, with modification to fit Spark.
BisectingKMeans - Class in org.apache.spark.mllib.clustering: A bisecting k-means algorithm based on the paper "A comparison of document clustering techniques" by Steinbach, Karypis, and Kumar, with modification to fit Spark.
BisectingKMeans() - Constructor for class org.apache.spark.ml.clustering.BisectingKMeans
BisectingKMeans() - Constructor for class org.apache.spark.mllib.clustering.BisectingKMeans: Constructs with the default configuration
BisectingKMeans(String) - Constructor for class org.apache.spark.ml.clustering.BisectingKMeans
BisectingKMeansModel - Class in org.apache.spark.ml.clustering: Model fitted by BisectingKMeans.
BisectingKMeansModel - Class in org.apache.spark.mllib.clustering: Clustering model produced by BisectingKMeans.
BisectingKMeansModel(ClusteringTreeNode) - Constructor for class org.apache.spark.mllib.clustering.BisectingKMeansModel
BisectingKMeansModel.SaveLoadV1_0$ - Class in org.apache.spark.mllib.clustering
BisectingKMeansModel.SaveLoadV2_0$ - Class in org.apache.spark.mllib.clustering
BisectingKMeansModel.SaveLoadV3_0$ - Class in org.apache.spark.mllib.clustering
BisectingKMeansParams - Interface in org.apache.spark.ml.clustering: Common params for BisectingKMeans and BisectingKMeansModel
BisectingKMeansSummary - Class in org.apache.spark.ml.clustering: Summary of BisectingKMeans.
bit_and(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the bitwise AND of all non-null input values, or null if none.
bit_count(Column) - Static method in class org.apache.spark.sql.functions: Returns the number of bits that are set in the argument expr as an unsigned 64-bit integer, or NULL if the argument is NULL.
bit_get(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the value of the bit (0 or 1) at the specified position.
bit_length(Column) - Static method in class org.apache.spark.sql.functions: Calculates the bit length for the specified string column.
bit_or(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the bitwise OR of all non-null input values, or null if none.
bit_xor(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the bitwise XOR of all non-null input values, or null if none.
bitmap_and_agg(Column) - Static method in class org.apache.spark.sql.functions: Returns a bitmap that is the bitwise AND of all of the bitmaps from the input column.
bitmap_bit_position(Column) - Static method in class org.apache.spark.sql.functions: Returns the bucket number for the given input column.
bitmap_bucket_number(Column) - Static method in class org.apache.spark.sql.functions: Returns the bit position for the given input column.
bitmap_construct_agg(Column) - Static method in class org.apache.spark.sql.functions: Returns a bitmap with the positions of the bits set from all the values from the input column.
bitmap_count(Column) - Static method in class org.apache.spark.sql.functions: Returns the number of set bits in the input bitmap.
bitmap_or_agg(Column) - Static method in class org.apache.spark.sql.functions: Returns a bitmap that is the bitwise OR of all of the bitmaps from the input column.
bitSize() - Method in class org.apache.spark.util.sketch.BloomFilter: Returns the number of bits in the underlying bit array.
bitwise_not(Column) - Static method in class org.apache.spark.sql.functions: Computes bitwise NOT (~) of a number.
bitwiseAND(Object) - Method in class org.apache.spark.sql.Column: Compute bitwise AND of this expression with another expression.
bitwiseNOT(Column) - Static method in class org.apache.spark.sql.functions: Deprecated.
Use bitwise_not. Since 3.2.0.
bitwiseOR(Object) - Method in class org.apache.spark.sql.Column: Compute bitwise OR of this expression with another expression.
bitwiseXOR(Object) - Method in class org.apache.spark.sql.Column: Compute bitwise XOR of this expression with another expression.
BLACKLISTED_IN_STAGES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
blacklistedInStages() - Method in class org.apache.spark.status.api.v1.ExecutorSummary: Deprecated.
use excludedInStages instead. Since 3.1.0.
BLAS - Class in org.apache.spark.ml.linalg: BLAS routines for MLlib's vectors and matrices.
BLAS - Class in org.apache.spark.mllib.linalg: BLAS routines for MLlib's vectors and matrices.
BLAS() - Constructor for class org.apache.spark.ml.linalg.BLAS
BLAS() - Constructor for class org.apache.spark.mllib.linalg.BLAS
BLOCK_NAME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
BlockData - Interface in org.apache.spark.storage: Abstracts away how blocks are stored and provides different ways to read the underlying block data.
blockedByLock() - Method in class org.apache.spark.status.api.v1.ThreadStackTrace
blockedByThreadId() - Method in class org.apache.spark.status.api.v1.ThreadStackTrace
BlockEvictionHandler - Interface in org.apache.spark.storage.memory
BlockGeneratorListener - Interface in org.apache.spark.streaming.receiver: Listener object for BlockGenerator events
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.GetBlockStatus
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.GetLocations
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.GetLocationsAndStatus
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.GetRDDBlockVisibility
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.MarkRDDBlockAsVisible
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.RemoveBlock
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.ReplicateBlock
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.UpdateBlockInfo
blockId() - Method in class org.apache.spark.storage.BlockManagerMessages.UpdateRDDBlockTaskInfo
blockId() - Method in class org.apache.spark.storage.BlockUpdatedInfo
blockId() - Method in interface org.apache.spark.streaming.receiver.ReceivedBlockStoreResult
BlockId - Class in org.apache.spark.storage: :: DeveloperApi :: Identifies a particular Block of data, usually associated with a single file.
BlockId() - Constructor for class org.apache.spark.storage.BlockId
blockIds() - Method in class org.apache.spark.storage.BlockManagerMessages.GetLocationsMultipleBlockIds
BlockInfoWrapper - Class in org.apache.spark.storage
BlockInfoWrapper(BlockInfo, Lock) - Constructor for class org.apache.spark.storage.BlockInfoWrapper
BlockInfoWrapper(BlockInfo, Lock, Condition) - Constructor for class org.apache.spark.storage.BlockInfoWrapper
BlockLocationsAndStatus(Seq<BlockManagerId>, BlockStatus, Option<String[]>) - Constructor for class org.apache.spark.storage.BlockManagerMessages.BlockLocationsAndStatus
BlockLocationsAndStatus$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.BlockLocationsAndStatus$
blockManager() - Method in class org.apache.spark.SparkEnv
blockManagerAddedFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
blockManagerAddedToJson(SparkListenerBlockManagerAdded, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
BlockManagerHeartbeat(BlockManagerId) - Constructor for class org.apache.spark.storage.BlockManagerMessages.BlockManagerHeartbeat
BlockManagerHeartbeat$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.BlockManagerHeartbeat$
blockManagerId() - Method in class org.apache.spark.scheduler.SparkListenerBlockManagerAdded
blockManagerId() - Method in class org.apache.spark.scheduler.SparkListenerBlockManagerRemoved
blockManagerId() - Method in class org.apache.spark.storage.BlockManagerMessages.BlockManagerHeartbeat
blockManagerId() - Method in class org.apache.spark.storage.BlockManagerMessages.GetPeers
blockManagerId() - Method in class org.apache.spark.storage.BlockManagerMessages.GetReplicateInfoForRDDBlocks
blockManagerId() - Method in class org.apache.spark.storage.BlockManagerMessages.RegisterBlockManager
blockManagerId() - Method in class org.apache.spark.storage.BlockManagerMessages.UpdateBlockInfo
blockManagerId() - Method in class org.apache.spark.storage.BlockUpdatedInfo
BlockManagerId - Class in org.apache.spark.storage: :: DeveloperApi :: This class represent a unique identifier for a BlockManager.
BlockManagerId() - Constructor for class org.apache.spark.storage.BlockManagerId
blockManagerIdCache() - Static method in class org.apache.spark.storage.BlockManagerId: The max cache size is hardcoded to 10000, since the size of a BlockManagerId object is about 48B, the total memory cost should be below 1MB which is feasible.
blockManagerIdFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
blockManagerIdToJson(BlockManagerId, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
BlockManagerMessages - Class in org.apache.spark.storage
BlockManagerMessages() - Constructor for class org.apache.spark.storage.BlockManagerMessages
BlockManagerMessages.BlockLocationsAndStatus - Class in org.apache.spark.storage: The response message of GetLocationsAndStatus request.
BlockManagerMessages.BlockLocationsAndStatus$ - Class in org.apache.spark.storage
BlockManagerMessages.BlockManagerHeartbeat - Class in org.apache.spark.storage
BlockManagerMessages.BlockManagerHeartbeat$ - Class in org.apache.spark.storage
BlockManagerMessages.DecommissionBlockManager$ - Class in org.apache.spark.storage
BlockManagerMessages.DecommissionBlockManagers - Class in org.apache.spark.storage
BlockManagerMessages.DecommissionBlockManagers$ - Class in org.apache.spark.storage
BlockManagerMessages.GetBlockStatus - Class in org.apache.spark.storage
BlockManagerMessages.GetBlockStatus$ - Class in org.apache.spark.storage
BlockManagerMessages.GetExecutorEndpointRef - Class in org.apache.spark.storage
BlockManagerMessages.GetExecutorEndpointRef$ - Class in org.apache.spark.storage
BlockManagerMessages.GetLocations - Class in org.apache.spark.storage
BlockManagerMessages.GetLocations$ - Class in org.apache.spark.storage
BlockManagerMessages.GetLocationsAndStatus - Class in org.apache.spark.storage
BlockManagerMessages.GetLocationsAndStatus$ - Class in org.apache.spark.storage
BlockManagerMessages.GetLocationsMultipleBlockIds - Class in org.apache.spark.storage
BlockManagerMessages.GetLocationsMultipleBlockIds$ - Class in org.apache.spark.storage
BlockManagerMessages.GetMatchingBlockIds - Class in org.apache.spark.storage
BlockManagerMessages.GetMatchingBlockIds$ - Class in org.apache.spark.storage
BlockManagerMessages.GetMemoryStatus$ - Class in org.apache.spark.storage
BlockManagerMessages.GetPeers - Class in org.apache.spark.storage
BlockManagerMessages.GetPeers$ - Class in org.apache.spark.storage
BlockManagerMessages.GetRDDBlockVisibility - Class in org.apache.spark.storage
BlockManagerMessages.GetRDDBlockVisibility$ - Class in org.apache.spark.storage
BlockManagerMessages.GetReplicateInfoForRDDBlocks - Class in org.apache.spark.storage
BlockManagerMessages.GetReplicateInfoForRDDBlocks$ - Class in org.apache.spark.storage
BlockManagerMessages.GetShufflePushMergerLocations - Class in org.apache.spark.storage
BlockManagerMessages.GetShufflePushMergerLocations$ - Class in org.apache.spark.storage
BlockManagerMessages.GetStorageStatus$ - Class in org.apache.spark.storage
BlockManagerMessages.IsExecutorAlive - Class in org.apache.spark.storage
BlockManagerMessages.IsExecutorAlive$ - Class in org.apache.spark.storage
BlockManagerMessages.MarkRDDBlockAsVisible - Class in org.apache.spark.storage
BlockManagerMessages.MarkRDDBlockAsVisible$ - Class in org.apache.spark.storage
BlockManagerMessages.RegisterBlockManager - Class in org.apache.spark.storage
BlockManagerMessages.RegisterBlockManager$ - Class in org.apache.spark.storage
BlockManagerMessages.RemoveBlock - Class in org.apache.spark.storage
BlockManagerMessages.RemoveBlock$ - Class in org.apache.spark.storage
BlockManagerMessages.RemoveBroadcast - Class in org.apache.spark.storage
BlockManagerMessages.RemoveBroadcast$ - Class in org.apache.spark.storage
BlockManagerMessages.RemoveExecutor - Class in org.apache.spark.storage
BlockManagerMessages.RemoveExecutor$ - Class in org.apache.spark.storage
BlockManagerMessages.RemoveRdd - Class in org.apache.spark.storage
BlockManagerMessages.RemoveRdd$ - Class in org.apache.spark.storage
BlockManagerMessages.RemoveShuffle - Class in org.apache.spark.storage
BlockManagerMessages.RemoveShuffle$ - Class in org.apache.spark.storage
BlockManagerMessages.RemoveShufflePushMergerLocation - Class in org.apache.spark.storage
BlockManagerMessages.RemoveShufflePushMergerLocation$ - Class in org.apache.spark.storage
BlockManagerMessages.ReplicateBlock - Class in org.apache.spark.storage
BlockManagerMessages.ReplicateBlock$ - Class in org.apache.spark.storage
BlockManagerMessages.StopBlockManagerMaster$ - Class in org.apache.spark.storage
BlockManagerMessages.ToBlockManagerMaster - Interface in org.apache.spark.storage
BlockManagerMessages.ToBlockManagerMasterStorageEndpoint - Interface in org.apache.spark.storage
BlockManagerMessages.TriggerHeapHistogram$ - Class in org.apache.spark.storage: Driver to Executor message to get a heap histogram.
BlockManagerMessages.TriggerThreadDump$ - Class in org.apache.spark.storage: Driver to Executor message to trigger a thread dump.
BlockManagerMessages.UpdateBlockInfo - Class in org.apache.spark.storage
BlockManagerMessages.UpdateBlockInfo$ - Class in org.apache.spark.storage
BlockManagerMessages.UpdateRDDBlockTaskInfo - Class in org.apache.spark.storage
BlockManagerMessages.UpdateRDDBlockTaskInfo$ - Class in org.apache.spark.storage
BlockManagerMessages.UpdateRDDBlockVisibility - Class in org.apache.spark.storage
BlockManagerMessages.UpdateRDDBlockVisibility$ - Class in org.apache.spark.storage
blockManagerRemovedFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
blockManagerRemovedToJson(SparkListenerBlockManagerRemoved, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
BlockMatrix - Class in org.apache.spark.mllib.linalg.distributed: Represents a distributed matrix in blocks of local matrices.
BlockMatrix(RDD<Tuple2<Tuple2<Object, Object>, Matrix>>, int, int) - Constructor for class org.apache.spark.mllib.linalg.distributed.BlockMatrix: Alternate constructor for BlockMatrix without the input of the number of rows and columns.
BlockMatrix(RDD<Tuple2<Tuple2<Object, Object>, Matrix>>, int, int, long, long) - Constructor for class org.apache.spark.mllib.linalg.distributed.BlockMatrix
blockName() - Method in class org.apache.spark.status.api.v1.RDDPartitionInfo
blockName() - Method in class org.apache.spark.status.LiveRDDPartition
BlockNotFoundException - Exception in org.apache.spark.storage
BlockNotFoundException(String) - Constructor for exception org.apache.spark.storage.BlockNotFoundException
BlockReplicationPolicy - Interface in org.apache.spark.storage: ::DeveloperApi:: BlockReplicationPrioritization provides logic for prioritizing a sequence of peers for replicating blocks.
BlockReplicationUtils - Class in org.apache.spark.storage
BlockReplicationUtils() - Constructor for class org.apache.spark.storage.BlockReplicationUtils
blocks() - Method in class org.apache.spark.mllib.linalg.distributed.BlockMatrix
blockSize() - Method in class org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel
blockSize() - Method in class org.apache.spark.ml.classification.MultilayerPerceptronClassifier
blockSize() - Method in interface org.apache.spark.ml.param.shared.HasBlockSize: Param for block size for stacking input data in matrices.
blockSize() - Method in class org.apache.spark.ml.recommendation.ALS
blockSize() - Method in class org.apache.spark.ml.recommendation.ALSModel
BlockStatus - Class in org.apache.spark.storage
BlockStatus(StorageLevel, long, long) - Constructor for class org.apache.spark.storage.BlockStatus
blockStatusFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
blockStatusToJson(BlockStatus, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
blockUpdatedInfo() - Method in class org.apache.spark.scheduler.SparkListenerBlockUpdated
BlockUpdatedInfo - Class in org.apache.spark.storage: :: DeveloperApi :: Stores information about a block status in a block manager.
BlockUpdatedInfo(BlockManagerId, BlockId, StorageLevel, long, long) - Constructor for class org.apache.spark.storage.BlockUpdatedInfo
blockUpdatedInfoFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
blockUpdatedInfoToJson(BlockUpdatedInfo, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
blockUpdateFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
blockUpdateToJson(SparkListenerBlockUpdated, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
bloomFilter(String, long, double) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Bloom filter over a specified column.
bloomFilter(String, long, long) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Bloom filter over a specified column.
bloomFilter(Column, long, double) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Bloom filter over a specified column.
bloomFilter(Column, long, long) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Bloom filter over a specified column.
BloomFilter - Class in org.apache.spark.util.sketch: A Bloom filter is a space-efficient probabilistic data structure that offers an approximate containment test with one-sided error: if it claims that an item is contained in it, this might be in error, but if it claims that an item is not contained in it, then this is definitely true.
BloomFilter() - Constructor for class org.apache.spark.util.sketch.BloomFilter
BloomFilter.Version - Enum Class in org.apache.spark.util.sketch
bmAddress() - Method in class org.apache.spark.FetchFailed
bool_and(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns true if all values of e are true.
bool_or(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns true if at least one value of e is true.
BOOLEAN() - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable boolean type.
booleanColumn(String[]) - Static method in class org.apache.parquet.filter2.predicate.SparkFilterApi
BooleanParam - Class in org.apache.spark.ml.param: Specialized version of Param[Boolean] for Java.
BooleanParam(String, String, String) - Constructor for class org.apache.spark.ml.param.BooleanParam
BooleanParam(Identifiable, String, String) - Constructor for class org.apache.spark.ml.param.BooleanParam
BooleanType - Class in org.apache.spark.sql.types: The data type representing Boolean values.
BooleanType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the BooleanType object.
BooleanType() - Constructor for class org.apache.spark.sql.types.BooleanType
BooleanTypeExpression - Class in org.apache.spark.sql.types
BooleanTypeExpression() - Constructor for class org.apache.spark.sql.types.BooleanTypeExpression
boost(RDD<org.apache.spark.ml.feature.Instance>, RDD<org.apache.spark.ml.feature.Instance>, BoostingStrategy, boolean, long, String, Option<org.apache.spark.ml.util.Instrumentation>) - Static method in class org.apache.spark.ml.tree.impl.GradientBoostedTrees: Internal method for performing regression using trees as base learners.
BoostingStrategy - Class in org.apache.spark.mllib.tree.configuration: Configuration options for GradientBoostedTrees.
BoostingStrategy(Strategy, Loss, int, double, double) - Constructor for class org.apache.spark.mllib.tree.configuration.BoostingStrategy
bootstrap() - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel
bootstrap() - Method in class org.apache.spark.ml.classification.RandomForestClassifier
bootstrap() - Method in class org.apache.spark.ml.regression.RandomForestRegressionModel
bootstrap() - Method in class org.apache.spark.ml.regression.RandomForestRegressor
bootstrap() - Method in interface org.apache.spark.ml.tree.RandomForestParams: Whether bootstrap samples are used when building trees.
Both - Enum constant in enum class org.apache.spark.graphx.impl.EdgeActiveness: Both vertices must be active.
Both() - Static method in class org.apache.spark.graphx.EdgeDirection: Edges originating from *and* arriving at a vertex of interest.
boundaries() - Method in class org.apache.spark.ml.regression.IsotonicRegressionModel: Boundaries in increasing order for which predictions are known.
boundaries() - Method in class org.apache.spark.mllib.regression.IsotonicRegressionModel
BoundedDouble - Class in org.apache.spark.partial: A Double value with error bars and associated confidence.
BoundedDouble(double, double, double, double) - Constructor for class org.apache.spark.partial.BoundedDouble
BoundFunction - Interface in org.apache.spark.sql.connector.catalog.functions: Represents a function that is bound to an input type.
BoundProcedure - Interface in org.apache.spark.sql.connector.catalog.procedures: A procedure that is bound to input types.
breakingChangeInfo() - Method in class org.apache.spark.ErrorInfo
breakingChangeInfo() - Method in class org.apache.spark.ErrorSubInfo
BreakingChangeInfo - Class in org.apache.spark: Additional information if the error was caused by a breaking change.
BreakingChangeInfo(Seq<String>, Option<MitigationConfig>, boolean) - Constructor for class org.apache.spark.BreakingChangeInfo
BreezeUtil - Class in org.apache.spark.ml.ann: In-place DGEMM and DGEMV for Breeze
BreezeUtil() - Constructor for class org.apache.spark.ml.ann.BreezeUtil
broadcast(SparkContext) - Static method in class org.apache.spark.util.SerializableConfiguration
broadcast(SparkContext, Configuration) - Static method in class org.apache.spark.util.SerializableConfiguration
broadcast(Dataset) - Static method in class org.apache.spark.sql.functions: Marks a DataFrame as small enough for use in broadcast joins.
broadcast(T) - Method in class org.apache.spark.api.java.JavaSparkContext: Broadcast a read-only variable to the cluster, returning a Broadcast object for reading it in distributed functions.
broadcast(T, ClassTag<T>) - Method in class org.apache.spark.SparkContext: Broadcast a read-only variable to the cluster, returning a Broadcast object for reading it in distributed functions.
Broadcast<T> - Class in org.apache.spark.broadcast: A broadcast variable.
Broadcast(long, ClassTag<T>) - Constructor for class org.apache.spark.broadcast.Broadcast
BROADCAST() - Static method in class org.apache.spark.storage.BlockId
BroadcastBlockId - Class in org.apache.spark.storage
BroadcastBlockId(long, String) - Constructor for class org.apache.spark.storage.BroadcastBlockId
broadcastCleaned(long) - Method in interface org.apache.spark.CleanerListener
BroadcastFactory - Interface in org.apache.spark.broadcast: An interface for all the broadcast implementations in Spark (to allow multiple broadcast implementations).
broadcastId() - Method in class org.apache.spark.CleanBroadcast
broadcastId() - Method in class org.apache.spark.storage.BlockManagerMessages.RemoveBroadcast
broadcastId() - Method in class org.apache.spark.storage.BroadcastBlockId
broadcastManager() - Method in class org.apache.spark.SparkEnv
bround(Column) - Static method in class org.apache.spark.sql.functions: Returns the value of the column e rounded to 0 decimal places with HALF_EVEN round mode.
bround(Column, int) - Static method in class org.apache.spark.sql.functions: Round the value of e to scale decimal places with HALF_EVEN round mode if scale is greater than or equal to 0 or at integral part when scale is less than 0.
bround(Column, Column) - Static method in class org.apache.spark.sql.functions: Round the value of e to scale decimal places with HALF_EVEN round mode if scale is greater than or equal to 0 or at integral part when scale is less than 0.
btrim(Column) - Static method in class org.apache.spark.sql.functions: Removes the leading and trailing space characters from str.
btrim(Column, Column) - Static method in class org.apache.spark.sql.functions: Remove the leading and trailing trim characters from str.
bucket(int, String...) - Static method in class org.apache.spark.sql.connector.expressions.Expressions: Create a bucket transform for one or more columns.
bucket(int, Column) - Static method in class org.apache.spark.sql.functions: (Java-specific) A transform for any type that partitions by a hash of the input column.
bucket(int, Column) - Method in class org.apache.spark.sql.functions.partitioning$: (Scala-specific) A transform for any type that partitions by a hash of the input column.
bucket(int, NamedReference[]) - Static method in class org.apache.spark.sql.connector.expressions.LogicalExpressions
bucket(int, NamedReference[], NamedReference[]) - Static method in class org.apache.spark.sql.connector.expressions.LogicalExpressions
bucket(Column, Column) - Static method in class org.apache.spark.sql.functions: (Java-specific) A transform for any type that partitions by a hash of the input column.
bucket(Column, Column) - Method in class org.apache.spark.sql.functions.partitioning$: (Scala-specific) A transform for any type that partitions by a hash of the input column.
bucketBy(int, String, String...) - Method in class org.apache.spark.sql.DataFrameWriter: Buckets the output by the given columns.
bucketBy(int, String, Seq<String>) - Method in class org.apache.spark.sql.DataFrameWriter: Buckets the output by the given columns.
BucketedRandomProjectionLSH - Class in org.apache.spark.ml.feature: This BucketedRandomProjectionLSH implements Locality Sensitive Hashing functions for Euclidean distance metrics.
BucketedRandomProjectionLSH() - Constructor for class org.apache.spark.ml.feature.BucketedRandomProjectionLSH
BucketedRandomProjectionLSH(String) - Constructor for class org.apache.spark.ml.feature.BucketedRandomProjectionLSH
BucketedRandomProjectionLSHModel - Class in org.apache.spark.ml.feature: Model produced by BucketedRandomProjectionLSH, where multiple random vectors are stored.
BucketedRandomProjectionLSHModel.Data$ - Class in org.apache.spark.ml.feature
BucketedRandomProjectionLSHParams - Interface in org.apache.spark.ml.feature: Params for BucketedRandomProjectionLSH.
Bucketizer - Class in org.apache.spark.ml.feature: Bucketizer maps a column of continuous features to a column of feature buckets.
Bucketizer() - Constructor for class org.apache.spark.ml.feature.Bucketizer
Bucketizer(String) - Constructor for class org.apache.spark.ml.feature.Bucketizer
bucketLength() - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSH
bucketLength() - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel
bucketLength() - Method in interface org.apache.spark.ml.feature.BucketedRandomProjectionLSHParams: The length of each hash bucket, a larger bucket lowers the false negative rate.
BucketSpecHelper(BucketSpec) - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.BucketSpecHelper
buffer() - Method in class org.apache.spark.storage.memory.SerializedMemoryEntry
bufferEncoder() - Method in class org.apache.spark.sql.expressions.Aggregator: Specifies the Encoder for the intermediate value type.
BufferReleasingInputStream - Class in org.apache.spark.storage: Helper class that ensures a ManagedBuffer is released upon InputStream.close() and also detects stream corruption if streamCompressedOrEncrypted is true
BufferReleasingInputStream(InputStream, ShuffleBlockFetcherIterator, BlockId, int, BlockManagerId, boolean, boolean, Option<CheckedInputStream>) - Constructor for class org.apache.spark.storage.BufferReleasingInputStream
bufferSchema() - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

A StructType represents data types of values in the aggregation buffer.
build() - Method in class org.apache.spark.ml.tuning.ParamGridBuilder: Builds and returns all combinations of parameters specified by the param grid.
build() - Method in class org.apache.spark.resource.ResourceProfileBuilder
build() - Method in class org.apache.spark.sql.connector.catalog.constraints.Check.Builder
build() - Method in class org.apache.spark.sql.connector.catalog.constraints.ForeignKey.Builder
build() - Method in class org.apache.spark.sql.connector.catalog.constraints.PrimaryKey.Builder
build() - Method in class org.apache.spark.sql.connector.catalog.constraints.Unique.Builder
build() - Method in class org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter.Builder: Builds the stored procedure parameter.
build() - Method in class org.apache.spark.sql.connector.catalog.TableInfo.Builder
build() - Method in interface org.apache.spark.sql.connector.read.ScanBuilder
build() - Method in interface org.apache.spark.sql.connector.write.DeltaWriteBuilder
build() - Method in interface org.apache.spark.sql.connector.write.RowLevelOperationBuilder: Returns a RowLevelOperation that controls how Spark rewrites data for DELETE, UPDATE, MERGE commands.
build() - Method in interface org.apache.spark.sql.connector.write.WriteBuilder: Returns a logical Write shared between batch and streaming.
build() - Method in class org.apache.spark.sql.jdbc.DB2Dialect.DB2SQLQueryBuilder
build() - Method in class org.apache.spark.sql.jdbc.JdbcSQLQueryBuilder: Build the final SQL query that following dialect's SQL syntax.
build() - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect.MsSqlServerSQLQueryBuilder
build() - Method in class org.apache.spark.sql.jdbc.MySQLDialect.MySQLSQLQueryBuilder
build() - Method in class org.apache.spark.sql.jdbc.OracleDialect.OracleSQLQueryBuilder
build() - Method in class org.apache.spark.sql.types.MetadataBuilder: Builds the Metadata instance.
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder
build() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder
build() - Method in interface org.apache.spark.storage.memory.MemoryEntryBuilder
build() - Method in class org.apache.spark.streaming.kinesis.SparkAWSCredentials.Builder: Returns the appropriate instance of SparkAWSCredentials given the configured parameters.
build(DecisionTreeModel, int) - Method in class org.apache.spark.ml.tree.EnsembleModelReadWrite.EnsembleNodeData$: Create EnsembleModelReadWrite.EnsembleNodeData instances for the given tree.
build(Node, int) - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.NodeData$: Create DecisionTreeModelReadWrite.NodeData instances for this node and all children.
build(Expression) - Method in class org.apache.spark.sql.connector.util.V2ExpressionSQLBuilder
build(Expression) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect.MsSqlServerSQLBuilder
builder() - Static method in class org.apache.spark.sql.SparkSession
Builder() - Constructor for class org.apache.spark.sql.connector.catalog.TableInfo.Builder
Builder() - Constructor for class org.apache.spark.sql.SparkSession.Builder
Builder() - Constructor for class org.apache.spark.streaming.kinesis.SparkAWSCredentials.Builder
Builder(String, NamedReference[], Identifier, NamedReference[]) - Constructor for class org.apache.spark.sql.connector.catalog.constraints.ForeignKey.Builder
buildErrorResponse(Response.Status, String) - Static method in class org.apache.spark.ui.UIUtils
buildFilter(Seq<Expression>, Seq<Attribute>) - Method in interface org.apache.spark.sql.columnar.CachedBatchSerializer: Builds a function that can be used to filter batches prior to being decompressed.
buildFilter(Seq<Expression>, Seq<Attribute>) - Method in class org.apache.spark.sql.columnar.SimpleMetricsCachedBatchSerializer
buildForBatch() - Method in interface org.apache.spark.sql.connector.write.WriteBuilder: Deprecated.
use WriteBuilder.build() instead.
buildForStreaming() - Method in interface org.apache.spark.sql.connector.write.WriteBuilder: Deprecated.
use WriteBuilder.build() instead.
buildIvySettings(Option<String>, Option<String>, boolean, PrintStream) - Static method in class org.apache.spark.util.MavenUtils: Build Ivy Settings using options with default resolvers
buildLocationMetadata(Seq<Path>, int) - Static method in class org.apache.spark.util.Utils: Convert a sequence of Paths to a metadata string.
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder
buildPartial() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder
buildPlanNormalizationRules(SparkSession) - Method in class org.apache.spark.sql.SparkSessionExtensions
buildPools() - Method in interface org.apache.spark.scheduler.SchedulableBuilder
buildScan() - Method in interface org.apache.spark.sql.sources.TableScan
buildScan(String[]) - Method in interface org.apache.spark.sql.sources.PrunedScan
buildScan(String[], Filter[]) - Method in interface org.apache.spark.sql.sources.PrunedFilteredScan
buildScan(Seq<Attribute>, Seq<Expression>) - Method in interface org.apache.spark.sql.sources.CatalystScan
buildTreeFromNodes(DecisionTreeModelReadWrite.NodeData[], String) - Static method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite: Given all data for all nodes in a tree, rebuild the tree.
BY_NAME_METADATA_KEY - Static variable in interface org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter: A field metadata key that indicates whether an argument is passed by name.
BYTE() - Static method in class org.apache.spark.api.r.SerializationFormats
BYTE() - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable byte type.
ByteExactNumeric - Class in org.apache.spark.sql.types
ByteExactNumeric() - Constructor for class org.apache.spark.sql.types.ByteExactNumeric
BYTES_READ() - Method in class org.apache.spark.InternalAccumulator.input$
BYTES_READ_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
BYTES_READ_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
BYTES_READ_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
BYTES_WRITTEN() - Method in class org.apache.spark.InternalAccumulator.output$
BYTES_WRITTEN() - Method in class org.apache.spark.InternalAccumulator.shuffleWrite$
BYTES_WRITTEN_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
BYTES_WRITTEN_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
BYTES_WRITTEN_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
BYTES_WRITTEN_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
bytesRead() - Method in interface org.apache.spark.sql.util.AbstractMessageIterator
bytesRead() - Method in class org.apache.spark.status.api.v1.InputMetricDistributions
bytesRead() - Method in class org.apache.spark.status.api.v1.InputMetrics
bytesToString(long) - Static method in class org.apache.spark.util.Utils: Convert a quantity in bytes to a human-readable string such as "4.0 MiB".
bytesToString(BigInt) - Static method in class org.apache.spark.util.Utils
byteStringAsBytes(String) - Static method in class org.apache.spark.util.Utils: Convert a passed byte string (e.g.
byteStringAsGb(String) - Static method in class org.apache.spark.util.Utils: Convert a passed byte string (e.g.
byteStringAsKb(String) - Static method in class org.apache.spark.util.Utils: Convert a passed byte string (e.g.
byteStringAsMb(String) - Static method in class org.apache.spark.util.Utils: Convert a passed byte string (e.g.
bytesWritten() - Method in class org.apache.spark.status.api.v1.OutputMetricDistributions
bytesWritten() - Method in class org.apache.spark.status.api.v1.OutputMetrics
bytesWritten() - Method in class org.apache.spark.status.api.v1.ShuffleWriteMetrics
bytesWritten(long) - Method in interface org.apache.spark.util.logging.RollingPolicy: Notify that bytes have been written
ByteType - Class in org.apache.spark.sql.types: The data type representing Byte values.
ByteType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the ByteType object.
ByteType() - Constructor for class org.apache.spark.sql.types.ByteType
ByteTypeExpression - Class in org.apache.spark.sql.types
ByteTypeExpression() - Constructor for class org.apache.spark.sql.types.ByteTypeExpression

C

cache() - Method in class org.apache.spark.api.java.JavaDoubleRDD: Persist this RDD with the default storage level (MEMORY_ONLY).
cache() - Method in class org.apache.spark.api.java.JavaPairRDD: Persist this RDD with the default storage level (MEMORY_ONLY).
cache() - Method in class org.apache.spark.api.java.JavaRDD: Persist this RDD with the default storage level (MEMORY_ONLY).
cache() - Method in class org.apache.spark.graphx.Graph: Caches the vertices and edges associated with this graph at the previously-specified target storage levels, which default to MEMORY_ONLY.
cache() - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl: Persists the edge partitions using targetStorageLevel, which defaults to MEMORY_ONLY.
cache() - Method in class org.apache.spark.graphx.impl.GraphImpl
cache() - Method in class org.apache.spark.graphx.impl.VertexRDDImpl: Persists the vertex partitions at targetStorageLevel, which defaults to MEMORY_ONLY.
cache() - Method in class org.apache.spark.mllib.linalg.distributed.BlockMatrix: Caches the underlying RDD.
cache() - Method in class org.apache.spark.rdd.RDD: Persist this RDD with the default storage level (MEMORY_ONLY).
cache() - Method in class org.apache.spark.sql.Dataset: Persist this Dataset with the default storage level (MEMORY_AND_DISK).
cache() - Method in class org.apache.spark.streaming.api.java.JavaDStream: Persist RDDs of this DStream with the default storage level (MEMORY_ONLY_SER)
cache() - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Persist RDDs of this DStream with the default storage level (MEMORY_ONLY_SER)
cache() - Method in class org.apache.spark.streaming.dstream.DStream: Persist RDDs of this DStream with the default storage level (MEMORY_ONLY_SER)
CACHED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
CACHED_PARTITIONS() - Static method in class org.apache.spark.ui.storage.ToolTips
CachedBatch - Interface in org.apache.spark.sql.columnar: Basic interface that all cached batches of data must support.
CachedBatchSerializer - Interface in org.apache.spark.sql.columnar: Provides APIs that handle transformations of SQL data associated with the cache/persist APIs.
CacheId - Class in org.apache.spark.storage
CacheId(String, String) - Constructor for class org.apache.spark.storage.CacheId
cacheNodeIds() - Method in class org.apache.spark.ml.classification.DecisionTreeClassificationModel
cacheNodeIds() - Method in class org.apache.spark.ml.classification.DecisionTreeClassifier
cacheNodeIds() - Method in class org.apache.spark.ml.classification.GBTClassificationModel
cacheNodeIds() - Method in class org.apache.spark.ml.classification.GBTClassifier
cacheNodeIds() - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel
cacheNodeIds() - Method in class org.apache.spark.ml.classification.RandomForestClassifier
cacheNodeIds() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressionModel
cacheNodeIds() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressor
cacheNodeIds() - Method in class org.apache.spark.ml.regression.GBTRegressionModel
cacheNodeIds() - Method in class org.apache.spark.ml.regression.GBTRegressor
cacheNodeIds() - Method in class org.apache.spark.ml.regression.RandomForestRegressionModel
cacheNodeIds() - Method in class org.apache.spark.ml.regression.RandomForestRegressor
cacheNodeIds() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams: If false, the algorithm will pass trees to executors to match instances with nodes.
cacheSize() - Method in interface org.apache.spark.SparkExecutorInfo
cacheSize() - Method in class org.apache.spark.SparkExecutorInfoImpl
cacheTable(String) - Method in class org.apache.spark.sql.catalog.Catalog: Caches the specified table in-memory.
cacheTable(String) - Method in class org.apache.spark.sql.SQLContext: Caches the specified table in-memory.
cacheTable(String, StorageLevel) - Method in class org.apache.spark.sql.catalog.Catalog: Caches the specified table with the given storage level.
calculate(double[], double) - Static method in class org.apache.spark.mllib.tree.impurity.Entropy: information calculation for multiclass classification
calculate(double[], double) - Static method in class org.apache.spark.mllib.tree.impurity.Gini: information calculation for multiclass classification
calculate(double[], double) - Method in interface org.apache.spark.mllib.tree.impurity.Impurity: information calculation for multiclass classification
calculate(double[], double) - Static method in class org.apache.spark.mllib.tree.impurity.Variance: information calculation for multiclass classification
calculate(double, double, double) - Static method in class org.apache.spark.mllib.tree.impurity.Entropy: variance calculation
calculate(double, double, double) - Static method in class org.apache.spark.mllib.tree.impurity.Gini: variance calculation
calculate(double, double, double) - Method in interface org.apache.spark.mllib.tree.impurity.Impurity: information calculation for regression
calculate(double, double, double) - Static method in class org.apache.spark.mllib.tree.impurity.Variance: variance calculation
calculateAmountAndPartsForFraction(double) - Static method in class org.apache.spark.resource.ResourceUtils
calculateNumberOfPartitions(long, int, int) - Method in class org.apache.spark.ml.feature.Word2VecModel.Word2VecModelWriter$: Calculate the number of partitions to use in saving the model.
CalendarInterval - Class in org.apache.spark.unsafe.types: The class representing calendar intervals.
CalendarInterval(int, int, long) - Constructor for class org.apache.spark.unsafe.types.CalendarInterval
CalendarIntervalType - Class in org.apache.spark.sql.types: The data type representing calendar intervals.
CalendarIntervalType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the CalendarIntervalType object.
CalendarIntervalType() - Constructor for class org.apache.spark.sql.types.CalendarIntervalType
call() - Method in interface org.apache.spark.api.java.function.Function0
call() - Method in interface org.apache.spark.sql.api.java.UDF0
call(Iterator<T>) - Method in interface org.apache.spark.api.java.function.ForeachPartitionFunction
call(Iterator<T>) - Method in interface org.apache.spark.api.java.function.MapPartitionsFunction
call(K, Iterator<V>) - Method in interface org.apache.spark.api.java.function.FlatMapGroupsFunction
call(K, Iterator<V>) - Method in interface org.apache.spark.api.java.function.MapGroupsFunction
call(K, Iterator<V>, GroupState<S>) - Method in interface org.apache.spark.api.java.function.FlatMapGroupsWithStateFunction
call(K, Iterator<V>, GroupState<S>) - Method in interface org.apache.spark.api.java.function.MapGroupsWithStateFunction
call(K, Iterator<V1>, Iterator<V2>) - Method in interface org.apache.spark.api.java.function.CoGroupFunction
call(InternalRow) - Method in interface org.apache.spark.sql.connector.catalog.procedures.BoundProcedure: Executes this procedure with the given input.
call(T) - Method in interface org.apache.spark.api.java.function.DoubleFlatMapFunction
call(T) - Method in interface org.apache.spark.api.java.function.DoubleFunction
call(T) - Method in interface org.apache.spark.api.java.function.FilterFunction
call(T) - Method in interface org.apache.spark.api.java.function.FlatMapFunction
call(T) - Method in interface org.apache.spark.api.java.function.ForeachFunction
call(T) - Method in interface org.apache.spark.api.java.function.MapFunction
call(T) - Method in interface org.apache.spark.api.java.function.PairFlatMapFunction
call(T) - Method in interface org.apache.spark.api.java.function.PairFunction
call(T) - Method in interface org.apache.spark.api.java.function.VoidFunction
call(T1) - Method in interface org.apache.spark.api.java.function.Function
call(T1) - Method in interface org.apache.spark.sql.api.java.UDF1
call(T1, T2) - Method in interface org.apache.spark.api.java.function.FlatMapFunction2
call(T1, T2) - Method in interface org.apache.spark.api.java.function.Function2
call(T1, T2) - Method in interface org.apache.spark.api.java.function.VoidFunction2
call(T1, T2) - Method in interface org.apache.spark.sql.api.java.UDF2
call(T1, T2, T3) - Method in interface org.apache.spark.api.java.function.Function3
call(T1, T2, T3) - Method in interface org.apache.spark.sql.api.java.UDF3
call(T1, T2, T3, T4) - Method in interface org.apache.spark.api.java.function.Function4
call(T1, T2, T3, T4) - Method in interface org.apache.spark.sql.api.java.UDF4
call(T1, T2, T3, T4, T5) - Method in interface org.apache.spark.sql.api.java.UDF5
call(T1, T2, T3, T4, T5, T6) - Method in interface org.apache.spark.sql.api.java.UDF6
call(T1, T2, T3, T4, T5, T6, T7) - Method in interface org.apache.spark.sql.api.java.UDF7
call(T1, T2, T3, T4, T5, T6, T7, T8) - Method in interface org.apache.spark.sql.api.java.UDF8
call(T1, T2, T3, T4, T5, T6, T7, T8, T9) - Method in interface org.apache.spark.sql.api.java.UDF9
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10) - Method in interface org.apache.spark.sql.api.java.UDF10
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11) - Method in interface org.apache.spark.sql.api.java.UDF11
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12) - Method in interface org.apache.spark.sql.api.java.UDF12
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13) - Method in interface org.apache.spark.sql.api.java.UDF13
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14) - Method in interface org.apache.spark.sql.api.java.UDF14
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15) - Method in interface org.apache.spark.sql.api.java.UDF15
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16) - Method in interface org.apache.spark.sql.api.java.UDF16
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17) - Method in interface org.apache.spark.sql.api.java.UDF17
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18) - Method in interface org.apache.spark.sql.api.java.UDF18
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19) - Method in interface org.apache.spark.sql.api.java.UDF19
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20) - Method in interface org.apache.spark.sql.api.java.UDF20
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21) - Method in interface org.apache.spark.sql.api.java.UDF21
call(T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22) - Method in interface org.apache.spark.sql.api.java.UDF22
call(T, T) - Method in interface org.apache.spark.api.java.function.ReduceFunction
call_function(String, Column...) - Static method in class org.apache.spark.sql.functions: Call a SQL function.
call_function(String, Seq<Column>) - Static method in class org.apache.spark.sql.functions: Call a SQL function.
call_udf(String, Column...) - Static method in class org.apache.spark.sql.functions: Call an user-defined function.
call_udf(String, Seq<Column>) - Static method in class org.apache.spark.sql.functions: Call an user-defined function.
callSite() - Method in interface org.apache.spark.QueryContext
callSite() - Method in class org.apache.spark.storage.RDDInfo
CALLSITE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
callUDF(String, Column...) - Static method in class org.apache.spark.sql.functions: Call an user-defined function.
callUDF(String, Seq<Column>) - Static method in class org.apache.spark.sql.functions: Deprecated.
Use call_udf.
cancel() - Method in interface org.apache.spark.FutureAction: Cancels the execution of this action.
cancel(Option<String>) - Method in class org.apache.spark.ComplexFutureAction
cancel(Option<String>) - Method in interface org.apache.spark.FutureAction: Cancels the execution of this action with an optional reason.
cancel(Option<String>) - Method in class org.apache.spark.SimpleFutureAction
cancelAllJobs() - Method in class org.apache.spark.api.java.JavaSparkContext: Cancel all jobs that have been scheduled or are running.
cancelAllJobs() - Method in class org.apache.spark.SparkContext: Cancel all jobs that have been scheduled or are running.
cancelJob(int) - Method in class org.apache.spark.SparkContext: Cancel a given job if it's scheduled or running.
cancelJob(int, String) - Method in class org.apache.spark.SparkContext: Cancel a given job if it's scheduled or running.
cancelJobGroup(String) - Method in class org.apache.spark.api.java.JavaSparkContext: Cancel active jobs for the specified group.
cancelJobGroup(String) - Method in class org.apache.spark.SparkContext: Cancel active jobs for the specified group.
cancelJobGroup(String, String) - Method in class org.apache.spark.api.java.JavaSparkContext: Cancel active jobs for the specified group.
cancelJobGroup(String, String) - Method in class org.apache.spark.SparkContext: Cancel active jobs for the specified group.
cancelJobGroupAndFutureJobs(String) - Method in class org.apache.spark.SparkContext: Cancel active jobs for the specified group, as well as the future jobs in this job group.
cancelJobGroupAndFutureJobs(String, String) - Method in class org.apache.spark.SparkContext: Cancel active jobs for the specified group, as well as the future jobs in this job group.
cancelJobsWithTag(String) - Method in class org.apache.spark.api.java.JavaSparkContext: Cancel active jobs that have the specified tag.
cancelJobsWithTag(String) - Method in class org.apache.spark.SparkContext: Cancel active jobs that have the specified tag.
cancelJobsWithTag(String, String) - Method in class org.apache.spark.api.java.JavaSparkContext: Cancel active jobs that have the specified tag.
cancelJobsWithTag(String, String) - Method in class org.apache.spark.SparkContext: Cancel active jobs that have the specified tag.
cancelStage(int) - Method in class org.apache.spark.SparkContext: Cancel a given stage and all jobs associated with it.
cancelStage(int, String) - Method in class org.apache.spark.SparkContext: Cancel a given stage and all jobs associated with it.
canCreate(String) - Method in interface org.apache.spark.scheduler.ExternalClusterManager: Check if this cluster manager instance can create scheduler components for a certain master URL.
canDeleteWhere(Predicate[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsDelete
canDeleteWhere(Predicate[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsDeleteV2: Checks whether it is possible to delete data from a data source table that matches filter expressions.
canDeleteWhere(Filter[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsDelete: Checks whether it is possible to delete data from a data source table that matches filter expressions.
canEqual(Object) - Static method in class org.apache.spark.ExpireDeadHosts
canEqual(Object) - Static method in class org.apache.spark.metrics.DirectPoolMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.GarbageCollectionMetrics
canEqual(Object) - Static method in class org.apache.spark.metrics.JVMHeapMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.JVMOffHeapMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.MappedPoolMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.OffHeapExecutionMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.OffHeapStorageMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.OffHeapUnifiedMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.OnHeapExecutionMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.OnHeapStorageMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.OnHeapUnifiedMemory
canEqual(Object) - Static method in class org.apache.spark.metrics.ProcessTreeMetrics
canEqual(Object) - Static method in class org.apache.spark.ml.feature.Dot
canEqual(Object) - Static method in class org.apache.spark.ml.feature.EmptyTerm
canEqual(Object) - Static method in class org.apache.spark.Resubmitted
canEqual(Object) - Static method in class org.apache.spark.scheduler.AllJobsCancelled
canEqual(Object) - Method in class org.apache.spark.scheduler.cluster.ExecutorInfo
canEqual(Object) - Static method in class org.apache.spark.scheduler.JobSucceeded
canEqual(Object) - Static method in class org.apache.spark.scheduler.ResubmitFailedStages
canEqual(Object) - Static method in class org.apache.spark.scheduler.StopCoordinator
canEqual(Object) - Static method in class org.apache.spark.sql.sources.AlwaysFalse
canEqual(Object) - Static method in class org.apache.spark.sql.sources.AlwaysTrue
canEqual(Object) - Static method in class org.apache.spark.sql.types.BinaryType
canEqual(Object) - Static method in class org.apache.spark.sql.types.BooleanType
canEqual(Object) - Static method in class org.apache.spark.sql.types.BooleanTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.ByteType
canEqual(Object) - Static method in class org.apache.spark.sql.types.ByteTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.CalendarIntervalType
canEqual(Object) - Static method in class org.apache.spark.sql.types.DateType
canEqual(Object) - Static method in class org.apache.spark.sql.types.DateTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
canEqual(Object) - Static method in class org.apache.spark.sql.types.DoubleType
canEqual(Object) - Static method in class org.apache.spark.sql.types.DoubleTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.FloatType
canEqual(Object) - Static method in class org.apache.spark.sql.types.FloatTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.IndeterminateStringType
canEqual(Object) - Static method in class org.apache.spark.sql.types.IntegerType
canEqual(Object) - Static method in class org.apache.spark.sql.types.IntegerTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.LongType
canEqual(Object) - Static method in class org.apache.spark.sql.types.LongTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.NoConstraint
canEqual(Object) - Static method in class org.apache.spark.sql.types.NullType
canEqual(Object) - Static method in class org.apache.spark.sql.types.ShortType
canEqual(Object) - Static method in class org.apache.spark.sql.types.ShortTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.StringHelper
canEqual(Object) - Static method in class org.apache.spark.sql.types.StringType
canEqual(Object) - Static method in class org.apache.spark.sql.types.StringTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.TimestampNTZType
canEqual(Object) - Static method in class org.apache.spark.sql.types.TimestampType
canEqual(Object) - Static method in class org.apache.spark.sql.types.TimestampTypeExpression
canEqual(Object) - Static method in class org.apache.spark.sql.types.VariantType
canEqual(Object) - Static method in class org.apache.spark.sql.types.YearMonthIntervalType
canEqual(Object) - Static method in class org.apache.spark.StopMapOutputTracker
canEqual(Object) - Static method in class org.apache.spark.streaming.kinesis.DefaultCredentials
canEqual(Object) - Static method in class org.apache.spark.streaming.scheduler.AllReceiverIds
canEqual(Object) - Static method in class org.apache.spark.streaming.scheduler.GetAllReceiverInfo
canEqual(Object) - Static method in class org.apache.spark.streaming.scheduler.StopAllReceivers
canEqual(Object) - Static method in class org.apache.spark.Success
canEqual(Object) - Static method in class org.apache.spark.TaskResultLost
canEqual(Object) - Static method in class org.apache.spark.TaskSchedulerIsSet
canEqual(Object) - Static method in class org.apache.spark.UnknownReason
canEqual(Object) - Method in class org.apache.spark.util.MutablePair
canHandle(String) - Method in class org.apache.spark.sql.jdbc.AggregatedDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.DatabricksDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.DerbyDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Check if this dialect instance can handle a certain jdbc url.
canHandle(String) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
canHandle(String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.OracleDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.SnowflakeDialect
canHandle(String) - Method in class org.apache.spark.sql.jdbc.TeradataDialect
canHandle(Driver, Map<String, String>) - Method in class org.apache.spark.sql.jdbc.JdbcConnectionProvider: Checks if this connection provider instance can handle the connection initiated by the driver.
canonicalName() - Method in interface org.apache.spark.sql.connector.catalog.functions.BoundFunction: Returns the canonical name of this function, used to determine if functions are equivalent.
canonicalName() - Method in class org.apache.spark.sql.connector.expressions.aggregate.UserDefinedAggregateFunc
canonicalName() - Method in class org.apache.spark.sql.connector.expressions.UserDefinedScalarFunc
CanonicalRandomVertexCut$() - Constructor for class org.apache.spark.graphx.PartitionStrategy.CanonicalRandomVertexCut$
canOverwrite(Predicate[]) - Method in interface org.apache.spark.sql.connector.write.SupportsOverwrite
canOverwrite(Predicate[]) - Method in interface org.apache.spark.sql.connector.write.SupportsOverwriteV2: Checks whether it is possible to overwrite data from a data source table that matches filter expressions.
canOverwrite(Filter[]) - Method in interface org.apache.spark.sql.connector.write.SupportsOverwrite: Checks whether it is possible to overwrite data from a data source table that matches filter expressions.
canRenameConflictingMetadataColumns() - Method in interface org.apache.spark.sql.connector.catalog.SupportsMetadataColumns: Determines how this data source handles name conflicts between metadata and data columns.
canUpCast(DataType, DataType) - Static method in class org.apache.spark.sql.types.UpCastRule: Returns true iff we can safely up-cast the from type to to type without any truncating or precision lose or possible runtime failures.
capabilities() - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
capabilities() - Method in interface org.apache.spark.sql.connector.catalog.Table: Returns the set of capabilities for this table.
capabilities() - Method in interface org.apache.spark.sql.connector.catalog.TableCatalog
cardinality() - Method in class org.apache.spark.util.sketch.BloomFilter
cardinality(Column) - Static method in class org.apache.spark.sql.functions: Returns length of array or map.
cartesian(JavaRDDLike<U, ?>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return the Cartesian product of this RDD and another one, that is, the RDD of all pairs of elements (a, b) where a is in this and b is in other.
cartesian(RDD, ClassTag) - Method in class org.apache.spark.rdd.RDD: Return the Cartesian product of this RDD and another one, that is, the RDD of all pairs of elements (a, b) where a is in this and b is in other.
CASCADE - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableChange.DropConstraint.Mode
CaseInsensitiveStringMap - Class in org.apache.spark.sql.util: Case-insensitive map of string keys to string values.
CaseInsensitiveStringMap(Map<String, String>) - Constructor for class org.apache.spark.sql.util.CaseInsensitiveStringMap
caseSensitive() - Method in class org.apache.spark.ml.feature.StopWordsRemover: Whether to do a case sensitive comparison over the stop words.
cast(String) - Method in class org.apache.spark.sql.Column: Casts the column to a different data type, using the canonical string representation of the type.
cast(DataType) - Method in class org.apache.spark.sql.Column: Casts the column to a different data type.
Cast - Class in org.apache.spark.sql.connector.expressions: Represents a cast expression in the public logical expression API.
Cast(Expression, DataType) - Constructor for class org.apache.spark.sql.connector.expressions.Cast: Deprecated.
Cast(Expression, DataType, DataType) - Constructor for class org.apache.spark.sql.connector.expressions.Cast
castPartitionSpec(String, DataType, SQLConf) - Static method in class org.apache.spark.sql.util.PartitioningUtils
catalog() - Method in class org.apache.spark.sql.catalog.Database
catalog() - Method in class org.apache.spark.sql.catalog.Function
catalog() - Method in class org.apache.spark.sql.catalog.Table
catalog() - Method in class org.apache.spark.sql.SparkSession: Interface through which the user may create, drop, alter or query underlying databases, tables, functions etc.
Catalog - Class in org.apache.spark.sql.catalog: Catalog interface for Spark.
Catalog() - Constructor for class org.apache.spark.sql.catalog.Catalog
CATALOG_IMPL_KEY() - Static method in class org.apache.spark.sql.SparkSession.Builder
CatalogAndIdentifier() - Constructor for class org.apache.spark.sql.connector.catalog.LookupCatalog.CatalogAndIdentifier
CatalogAndIdentifier() - Method in interface org.apache.spark.sql.connector.catalog.LookupCatalog
CatalogAndIdentifier$() - Constructor for class org.apache.spark.sql.connector.catalog.LookupCatalog.CatalogAndIdentifier$
CatalogAndMultipartIdentifier() - Method in interface org.apache.spark.sql.connector.catalog.LookupCatalog
CatalogAndNamespace() - Constructor for class org.apache.spark.sql.connector.catalog.LookupCatalog.CatalogAndNamespace
CatalogAndNamespace() - Method in interface org.apache.spark.sql.connector.catalog.LookupCatalog
CatalogAndNamespace$() - Constructor for class org.apache.spark.sql.connector.catalog.LookupCatalog.CatalogAndNamespace$
CatalogExtension - Interface in org.apache.spark.sql.connector.catalog: An API to extend the Spark built-in session catalog.
CatalogHelper(CatalogPlugin) - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
catalogManager() - Method in interface org.apache.spark.sql.connector.catalog.LookupCatalog
CatalogMetadata - Class in org.apache.spark.sql.catalog: A catalog in Spark, as returned by the listCatalogs method defined in Catalog.
CatalogMetadata(String, String) - Constructor for class org.apache.spark.sql.catalog.CatalogMetadata
CatalogNotFoundException - Exception in org.apache.spark.sql.connector.catalog
CatalogNotFoundException(String, Map<String, String>) - Constructor for exception org.apache.spark.sql.connector.catalog.CatalogNotFoundException
CatalogNotFoundException(String, Map<String, String>, Throwable) - Constructor for exception org.apache.spark.sql.connector.catalog.CatalogNotFoundException
CatalogPlugin - Interface in org.apache.spark.sql.connector.catalog: A marker interface to provide a catalog implementation for Spark.
Catalogs - Class in org.apache.spark.sql.connector.catalog
Catalogs() - Constructor for class org.apache.spark.sql.connector.catalog.Catalogs
catalogString() - Method in class org.apache.spark.sql.types.ArrayType
catalogString() - Static method in class org.apache.spark.sql.types.BinaryType
catalogString() - Static method in class org.apache.spark.sql.types.BooleanType
catalogString() - Static method in class org.apache.spark.sql.types.ByteType
catalogString() - Static method in class org.apache.spark.sql.types.CalendarIntervalType
catalogString() - Method in class org.apache.spark.sql.types.DataType: String representation for the type saved in external catalogs.
catalogString() - Static method in class org.apache.spark.sql.types.DateType
catalogString() - Static method in class org.apache.spark.sql.types.DoubleType
catalogString() - Static method in class org.apache.spark.sql.types.FloatType
catalogString() - Static method in class org.apache.spark.sql.types.IndeterminateStringType
catalogString() - Static method in class org.apache.spark.sql.types.IntegerType
catalogString() - Static method in class org.apache.spark.sql.types.LongType
catalogString() - Method in class org.apache.spark.sql.types.MapType
catalogString() - Static method in class org.apache.spark.sql.types.NullType
catalogString() - Static method in class org.apache.spark.sql.types.ShortType
catalogString() - Static method in class org.apache.spark.sql.types.StringType
catalogString() - Method in class org.apache.spark.sql.types.StructType
catalogString() - Static method in class org.apache.spark.sql.types.TimestampNTZType
catalogString() - Static method in class org.apache.spark.sql.types.TimestampType
catalogString() - Method in class org.apache.spark.sql.types.UserDefinedType
catalogString() - Static method in class org.apache.spark.sql.types.VariantType
CatalogV2Implicits - Class in org.apache.spark.sql.connector.catalog: Conversion helpers for working with v2 CatalogPlugin.
CatalogV2Implicits() - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Implicits
CatalogV2Implicits.BucketSpecHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.CatalogHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.ClusterByHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.ColumnsHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.FunctionIdentifierHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.IdentifierHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.MultipartIdentifierHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.NamespaceHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.PartitionTypeHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.TableIdentifierHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Implicits.TransformHelper - Class in org.apache.spark.sql.connector.catalog
CatalogV2Util - Class in org.apache.spark.sql.connector.catalog
CatalogV2Util() - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Util
CatalystScan - Interface in org.apache.spark.sql.sources: ::Experimental:: An interface for experimenting with a more direct connection to the query planner.
catchIllegalValue(String, Function0<T>) - Method in interface org.apache.spark.ReadOnlySparkConf: Wrapper method for get() methods which require some specific value format.
Categorical() - Static method in class org.apache.spark.mllib.tree.configuration.FeatureType
categoricalCols() - Method in class org.apache.spark.ml.feature.FeatureHasher: Numeric columns to treat as categorical features.
categoricalFeaturesInfo() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
CategoricalSplit - Class in org.apache.spark.ml.tree: Split which tests a categorical feature.
categories() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData
categories() - Method in class org.apache.spark.mllib.tree.model.Split
categoryMaps() - Method in class org.apache.spark.ml.feature.VectorIndexerModel
categorySizes() - Method in class org.apache.spark.ml.feature.OneHotEncoderModel
cause() - Method in exception org.apache.spark.sql.AnalysisException
cause() - Method in exception org.apache.spark.sql.streaming.StreamingQueryException
CausedBy - Class in org.apache.spark.util: Extractor Object for pulling out the root cause of an error.
CausedBy() - Constructor for class org.apache.spark.util.CausedBy
cbrt(String) - Static method in class org.apache.spark.sql.functions: Computes the cube-root of the given column.
cbrt(Column) - Static method in class org.apache.spark.sql.functions: Computes the cube-root of the given value.
ceil() - Method in class org.apache.spark.sql.types.Decimal
ceil(String) - Static method in class org.apache.spark.sql.functions: Computes the ceiling of the given value of e to 0 decimal places.
ceil(Column) - Static method in class org.apache.spark.sql.functions: Computes the ceiling of the given value of e to 0 decimal places.
ceil(Column, Column) - Static method in class org.apache.spark.sql.functions: Computes the ceiling of the given value of e to scale decimal places.
ceiling(Column) - Static method in class org.apache.spark.sql.functions: Computes the ceiling of the given value of e to 0 decimal places.
ceiling(Column, Column) - Static method in class org.apache.spark.sql.functions: Computes the ceiling of the given value of e to scale decimal places.
censorCol() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegression
censorCol() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegressionModel
censorCol() - Method in interface org.apache.spark.ml.regression.AFTSurvivalRegressionParams: Param for censor column name.
centerMatrix() - Method in class org.apache.spark.ml.clustering.KMeansAggregator
chainl1(Function0<Parsers.Parser<T>>, Function0<Parsers.Parser<Function2<T, T, T>>>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
chainl1(Function0<Parsers.Parser<T>>, Function0<Parsers.Parser>, Function0<Parsers.Parser<Function2<T, U, T>>>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
chainr1(Function0<Parsers.Parser<T>>, Function0<Parsers.Parser<Function2<T, U, U>>>, Function2<T, U, U>, U) - Static method in class org.apache.spark.ml.feature.RFormulaParser
changePrecision(int, int) - Method in class org.apache.spark.sql.types.Decimal: Update precision and scale while keeping our value the same, and return true if successful.
channel() - Method in interface org.apache.spark.shuffle.api.WritableByteChannelWrapper: The underlying channel to write bytes into.
channelRead0(ChannelHandlerContext, byte[]) - Method in class org.apache.spark.api.r.RBackendAuthHandler
CHAR(int) - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable char type.
char_length(Column) - Static method in class org.apache.spark.sql.functions: Returns the character length of string data or number of bytes of binary data.
character_length(Column) - Static method in class org.apache.spark.sql.functions: Returns the character length of string data or number of bytes of binary data.
CharType - Class in org.apache.spark.sql.types: A data type representing fixed-length character strings with a specified length.
check(String) - Static method in interface org.apache.spark.sql.connector.catalog.constraints.Constraint: Instantiates a builder for a CHECK constraint.
Check - Class in org.apache.spark.sql.connector.catalog.constraints: A CHECK constraint.
Check.Builder - Class in org.apache.spark.sql.connector.catalog.constraints
checkAndGetK8sMasterUrl(String) - Static method in class org.apache.spark.util.Utils: Check the validity of the given Kubernetes master URL and return the resolved URL.
checkColumnNameDuplication(Seq<String>, boolean) - Static method in class org.apache.spark.sql.util.SchemaUtils: Checks if input column names have duplicate identifiers.
checkColumnNameDuplication(Seq<String>, Function2<String, String, Object>) - Static method in class org.apache.spark.sql.util.SchemaUtils: Checks if input column names have duplicate identifiers.
checkColumnType(StructType, String, DataType, String) - Static method in class org.apache.spark.ml.util.SchemaUtils: Check whether the given schema contains a column of the required data type.
checkColumnTypes(StructType, String, Seq<DataType>, String) - Static method in class org.apache.spark.ml.util.SchemaUtils: Check whether the given schema contains a column of one of the require data types.
checkCommandAvailable(String) - Static method in class org.apache.spark.util.Utils: Check if a command is available.
checkDataColumns(RFormula, Dataset<?>) - Static method in class org.apache.spark.ml.r.RWrapperUtils: DataFrame column check.
checkFileExists(String, Configuration) - Static method in class org.apache.spark.streaming.util.HdfsUtils: Check if the file exists at the given path.
checkHost(String) - Static method in class org.apache.spark.util.Utils: Checks if the host contains only valid hostname/ip without port NOTE: Incase of IPV6 ip it should be enclosed inside []
checkHostPort(String) - Static method in class org.apache.spark.util.Utils
checkIndeterminateCollationInSchema(StructType) - Static method in class org.apache.spark.sql.util.SchemaUtils: Throws an error if the given schema has indeterminate collation.
checkIntegers(Dataset<?>, String) - Method in interface org.apache.spark.ml.recommendation.ALSModelParams: Attempts to safely cast a user/item id to an Int.
checkNoCollationsInMapKeys(DataType) - Static method in class org.apache.spark.sql.util.SchemaUtils
checkNumericType(StructType, String, String) - Static method in class org.apache.spark.ml.util.SchemaUtils: Check whether the given schema contains a column of the numeric data type.
checkOffHeapEnabled(ReadOnlySparkConf, long) - Static method in class org.apache.spark.util.Utils: return 0 if MEMORY_OFFHEAP_ENABLED is false.
checkpoint() - Method in interface org.apache.spark.api.java.JavaRDDLike: Mark this RDD for checkpointing.
checkpoint() - Method in class org.apache.spark.graphx.Graph: Mark this Graph for checkpointing.
checkpoint() - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl
checkpoint() - Method in class org.apache.spark.graphx.impl.GraphImpl
checkpoint() - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
checkpoint() - Method in class org.apache.spark.rdd.HadoopRDD
checkpoint() - Method in class org.apache.spark.rdd.RDD: Mark this RDD for checkpointing.
checkpoint() - Method in class org.apache.spark.sql.Dataset: Eagerly checkpoint a Dataset and return the new Dataset.
checkpoint(boolean) - Method in class org.apache.spark.sql.Dataset: Returns a checkpointed version of this Dataset.
checkpoint(String) - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Sets the context to periodically checkpoint the DStream operations for master fault-tolerance.
checkpoint(String) - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Set the context to periodically checkpoint the DStream operations for driver fault-tolerance.
checkpoint(Duration) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Enable periodic checkpointing of RDDs of this DStream.
checkpoint(Duration) - Method in class org.apache.spark.streaming.dstream.DStream: Enable periodic checkpointing of RDDs of this DStream
checkpointCleaned(long) - Method in interface org.apache.spark.CleanerListener
Checkpointed() - Static method in class org.apache.spark.rdd.CheckpointState
CheckpointingInProgress() - Static method in class org.apache.spark.rdd.CheckpointState
checkpointInterval() - Method in class org.apache.spark.ml.classification.DecisionTreeClassificationModel
checkpointInterval() - Method in class org.apache.spark.ml.classification.DecisionTreeClassifier
checkpointInterval() - Method in class org.apache.spark.ml.classification.GBTClassificationModel
checkpointInterval() - Method in class org.apache.spark.ml.classification.GBTClassifier
checkpointInterval() - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel
checkpointInterval() - Method in class org.apache.spark.ml.classification.RandomForestClassifier
checkpointInterval() - Method in class org.apache.spark.ml.clustering.LDA
checkpointInterval() - Method in class org.apache.spark.ml.clustering.LDAModel
checkpointInterval() - Method in interface org.apache.spark.ml.param.shared.HasCheckpointInterval: Param for set checkpoint interval (>= 1) or disable checkpoint (-1).
checkpointInterval() - Method in class org.apache.spark.ml.recommendation.ALS
checkpointInterval() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressionModel
checkpointInterval() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressor
checkpointInterval() - Method in class org.apache.spark.ml.regression.GBTRegressionModel
checkpointInterval() - Method in class org.apache.spark.ml.regression.GBTRegressor
checkpointInterval() - Method in class org.apache.spark.ml.regression.RandomForestRegressionModel
checkpointInterval() - Method in class org.apache.spark.ml.regression.RandomForestRegressor
checkpointInterval() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
CheckpointReader - Class in org.apache.spark.streaming
CheckpointReader() - Constructor for class org.apache.spark.streaming.CheckpointReader
CheckpointState - Class in org.apache.spark.rdd: Enumeration to manage state transitions of an RDD through checkpointing
CheckpointState() - Constructor for class org.apache.spark.rdd.CheckpointState
checkSchemaColumnNameDuplication(DataType, boolean) - Static method in class org.apache.spark.sql.util.SchemaUtils: Checks if an input schema has duplicate column names.
checkSchemaColumnNameDuplication(StructType, Function2<String, String, Object>) - Static method in class org.apache.spark.sql.util.SchemaUtils: Checks if an input schema has duplicate column names.
checkSchemaFieldExist(StructType, String) - Static method in class org.apache.spark.ml.util.SchemaUtils: Check whether a certain column name exists in the schema.
checkSingleVsMultiColumnParams(Params, Seq<Param<?>>, Seq<Param<?>>) - Static method in class org.apache.spark.ml.param.ParamValidators: Utility for Param validity checks for Transformers which have both single- and multi-column support.
checkSpeculatableTasks(long) - Method in interface org.apache.spark.scheduler.Schedulable
checkState(boolean, Function0<String>) - Static method in class org.apache.spark.streaming.util.HdfsUtils
checksumMismatchFullRetryEnabled() - Method in class org.apache.spark.ShuffleDependency
checksumMismatchQueryLevelRollbackEnabled() - Method in class org.apache.spark.ShuffleDependency
checksumValue() - Method in interface org.apache.spark.scheduler.MapStatus: The checksum value of this shuffle map task, which can be used to evaluate whether the output data has changed across different map task retries.
checkThresholdConsistency() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams: If threshold and thresholds are both set, ensures they are consistent.
checkTransformDuplication(Seq<Transform>, String, boolean) - Static method in class org.apache.spark.sql.util.SchemaUtils: Checks if the partitioning transforms are being duplicated or not.
checkUIViewPermissions() - Method in interface org.apache.spark.status.api.v1.BaseAppResource
checkUIViewPermissions(String, Option<String>, String) - Method in interface org.apache.spark.status.api.v1.UIRoot
checkUseGC(String) - Static method in class org.apache.spark.util.Utils
child() - Method in class org.apache.spark.sql.connector.expressions.filter.Not
child() - Method in class org.apache.spark.sql.sources.Not
CHILD_CLUSTERS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
CHILD_CONNECTION_TIMEOUT - Static variable in class org.apache.spark.launcher.SparkLauncher: Maximum time (in ms) to wait for a child process to connect back to the launcher server when using @link{#start()}.
CHILD_NODES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
CHILD_PROCESS_LOGGER_NAME - Static variable in class org.apache.spark.launcher.SparkLauncher: Logger name to use when launching a child process.
childArray() - Method in class org.apache.spark.sql.connector.expressions.GetArrayItem
ChildFirstURLClassLoader - Class in org.apache.spark.util: A mutable class loader that gives preference to its own URLs over the parent class loader when loading classes and resources.
ChildFirstURLClassLoader(URL[], ClassLoader) - Constructor for class org.apache.spark.util.ChildFirstURLClassLoader
ChildFirstURLClassLoader(URL[], ClassLoader, ClassLoader) - Constructor for class org.apache.spark.util.ChildFirstURLClassLoader: Specify the grandparent if there is a need to load in the order of `grandparent -> urls (child) -> parent`.
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Avg
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Count
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.CountStar
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.GeneralAggregateFunc
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Max
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Min
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Sum
children() - Method in class org.apache.spark.sql.connector.expressions.aggregate.UserDefinedAggregateFunc
children() - Method in class org.apache.spark.sql.connector.expressions.Cast
children() - Method in interface org.apache.spark.sql.connector.expressions.Expression: Returns an array of the children of this node.
children() - Method in class org.apache.spark.sql.connector.expressions.Extract
children() - Method in class org.apache.spark.sql.connector.expressions.GeneralScalarExpression
children() - Method in class org.apache.spark.sql.connector.expressions.GetArrayItem
children() - Method in interface org.apache.spark.sql.connector.expressions.Literal
children() - Method in interface org.apache.spark.sql.connector.expressions.NamedReference
children() - Method in interface org.apache.spark.sql.connector.expressions.SortOrder
children() - Method in interface org.apache.spark.sql.connector.expressions.Transform
children() - Method in class org.apache.spark.sql.connector.expressions.UserDefinedScalarFunc
chiSqFunc() - Method in class org.apache.spark.mllib.stat.test.ChiSqTest.Method
ChiSqSelector - Class in org.apache.spark.ml.feature: Deprecated.
use UnivariateFeatureSelector instead. Since 3.1.1.
ChiSqSelector - Class in org.apache.spark.mllib.feature: Creates a ChiSquared feature selector.
ChiSqSelector() - Constructor for class org.apache.spark.ml.feature.ChiSqSelector: Deprecated.
ChiSqSelector() - Constructor for class org.apache.spark.mllib.feature.ChiSqSelector
ChiSqSelector(int) - Constructor for class org.apache.spark.mllib.feature.ChiSqSelector: The is the same to call this() and setNumTopFeatures(numTopFeatures)
ChiSqSelector(String) - Constructor for class org.apache.spark.ml.feature.ChiSqSelector: Deprecated.
ChiSqSelectorModel - Class in org.apache.spark.ml.feature: Model fitted by ChiSqSelector.
ChiSqSelectorModel - Class in org.apache.spark.mllib.feature: Chi Squared selector model.
ChiSqSelectorModel(int[]) - Constructor for class org.apache.spark.mllib.feature.ChiSqSelectorModel
ChiSqSelectorModel.ChiSqSelectorModelWriter - Class in org.apache.spark.ml.feature
ChiSqSelectorModel.Data$ - Class in org.apache.spark.ml.feature
ChiSqSelectorModel.SaveLoadV1_0$ - Class in org.apache.spark.mllib.feature
ChiSqSelectorModel.SaveLoadV1_0$.Data - Class in org.apache.spark.mllib.feature: Model data for import/export
ChiSqSelectorModel.SaveLoadV1_0$.Data$ - Class in org.apache.spark.mllib.feature
ChiSqSelectorModelWriter(ChiSqSelectorModel) - Constructor for class org.apache.spark.ml.feature.ChiSqSelectorModel.ChiSqSelectorModelWriter
chiSqTest(JavaRDD<LabeledPoint>) - Static method in class org.apache.spark.mllib.stat.Statistics: Java-friendly version of chiSqTest()
chiSqTest(Matrix) - Static method in class org.apache.spark.mllib.stat.Statistics: Conduct Pearson's independence test on the input contingency matrix, which cannot contain negative entries or columns or rows that sum up to 0.
chiSqTest(Vector) - Static method in class org.apache.spark.mllib.stat.Statistics: Conduct Pearson's chi-squared goodness of fit test of the observed data against the uniform distribution, with each category having an expected frequency of 1 / observed.size.
chiSqTest(Vector, Vector) - Static method in class org.apache.spark.mllib.stat.Statistics: Conduct Pearson's chi-squared goodness of fit test of the observed data against the expected distribution.
chiSqTest(RDD<LabeledPoint>) - Static method in class org.apache.spark.mllib.stat.Statistics: Conduct Pearson's independence test for every feature against the label across the input RDD.
ChiSqTest - Class in org.apache.spark.mllib.stat.test: Conduct the chi-squared test for the input RDDs using the specified method.
ChiSqTest() - Constructor for class org.apache.spark.mllib.stat.test.ChiSqTest
ChiSqTest.Method - Class in org.apache.spark.mllib.stat.test: param: name String name for the method.
ChiSqTest.Method$ - Class in org.apache.spark.mllib.stat.test
ChiSqTest.NullHypothesis$ - Class in org.apache.spark.mllib.stat.test
ChiSqTestResult - Class in org.apache.spark.mllib.stat.test: Object containing the test results for the chi-squared hypothesis test.
chiSquared(Vector, Vector, String) - Static method in class org.apache.spark.mllib.stat.test.ChiSqTest
chiSquaredFeatures(RDD<LabeledPoint>, String) - Static method in class org.apache.spark.mllib.stat.test.ChiSqTest: Conduct Pearson's independence test for each feature against the label across the input RDD.
chiSquaredMatrix(Matrix, String) - Static method in class org.apache.spark.mllib.stat.test.ChiSqTest
ChiSquareTest - Class in org.apache.spark.ml.stat: Chi-square hypothesis testing for categorical data.
ChiSquareTest() - Constructor for class org.apache.spark.ml.stat.ChiSquareTest
chmod700(File) - Static method in class org.apache.spark.util.Utils: JDK equivalent of chmod 700 file.
CholeskyDecomposition - Class in org.apache.spark.mllib.linalg: Compute Cholesky decomposition.
CholeskyDecomposition() - Constructor for class org.apache.spark.mllib.linalg.CholeskyDecomposition
chr(Column) - Static method in class org.apache.spark.sql.functions: Returns the ASCII character having the binary equivalent to n.
chunkId() - Method in class org.apache.spark.storage.ShuffleBlockChunkId
CLASS_NOT_FOUND() - Static method in class org.apache.spark.util.SparkExitCode: Exit due to ClassNotFoundException or NoClassDefFoundError.
classForName(String, boolean, boolean) - Method in interface org.apache.spark.util.SparkClassUtils: Preferred alternative to Class.forName(className), as well as Class.forName(className, initialize, loader) with current thread's ContextClassLoader.
classForName(String, boolean, boolean) - Static method in class org.apache.spark.util.Utils
classForName$default$2() - Static method in class org.apache.spark.util.Utils
classForName$default$3() - Static method in class org.apache.spark.util.Utils
classic() - Method in class org.apache.spark.sql.SparkSession.Builder: Make the builder create a Classic SparkSession.
Classification() - Static method in class org.apache.spark.mllib.tree.configuration.Algo
ClassificationLoss - Interface in org.apache.spark.mllib.tree.loss
ClassificationModel<FeaturesType,M extends ClassificationModel<FeaturesType,M>> - Class in org.apache.spark.ml.classification: Model produced by a Classifier.
ClassificationModel - Interface in org.apache.spark.mllib.classification: Represents a classification model that predicts to which of a set of categories an example belongs.
ClassificationModel() - Constructor for class org.apache.spark.ml.classification.ClassificationModel
ClassificationSummary - Interface in org.apache.spark.ml.classification: Abstraction for multiclass classification results for a given model.
classifier() - Method in class org.apache.spark.ml.classification.OneVsRest
classifier() - Method in class org.apache.spark.ml.classification.OneVsRestModel
classifier() - Method in interface org.apache.spark.ml.classification.OneVsRestParams: param for the base binary classifier that we reduce multiclass classification into.
Classifier<FeaturesType,E extends Classifier<FeaturesType,E,M>,M extends ClassificationModel<FeaturesType,M>> - Class in org.apache.spark.ml.classification: Single-label binary or multiclass classification.
Classifier() - Constructor for class org.apache.spark.ml.classification.Classifier
ClassifierParams - Interface in org.apache.spark.ml.classification: (private[spark]) Params for classification.
ClassifierTypeTrait - Interface in org.apache.spark.ml.classification
classifyException(String, Throwable) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Deprecated.
Please override the classifyException method with an error condition. Since 4.0.0.
classifyException(String, Throwable) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
classifyException(Throwable, String, Map<String, String>, String, boolean) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
classifyException(Throwable, String, Map<String, String>, String, boolean) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Gets a dialect exception, classifies it and wraps it by AnalysisException.
classifyException(Throwable, String, Map<String, String>, String, boolean) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
classifyException(Throwable, String, Map<String, String>, String, boolean) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
classifyException(Throwable, String, Map<String, String>, String, boolean) - Method in interface org.apache.spark.sql.jdbc.NoLegacyJDBCError
classifyException(Throwable, String, Map<String, String>, String, boolean) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
classifyException(Throwable, String, Map<String, String>, String, boolean) - Method in class org.apache.spark.sql.jdbc.OracleDialect
classifyException(Throwable, String, Map<String, String>, String, boolean) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
classIsLoadable(String) - Method in interface org.apache.spark.util.SparkClassUtils: Determines whether the provided class is loadable in the current thread.
classIsLoadable(String) - Static method in class org.apache.spark.util.Utils
classIsLoadableAndAssignableFrom(String, Class<?>) - Method in interface org.apache.spark.util.SparkClassUtils: Determines whether the provided class is loadable in the current thread and assignable from the target class.
classIsLoadableAndAssignableFrom(String, Class<?>) - Static method in class org.apache.spark.util.Utils
className() - Method in class org.apache.spark.ExceptionFailure
className() - Static method in class org.apache.spark.ml.linalg.JsonMatrixConverter: Unique class name for identifying JSON object encoded by this class.
className() - Method in class org.apache.spark.sql.catalog.Function
CLASSPATH_ENTRIES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
classpathEntries() - Method in class org.apache.spark.status.api.v1.ApplicationEnvironmentInfo
classTag() - Method in class org.apache.spark.api.java.JavaDoubleRDD
classTag() - Method in class org.apache.spark.api.java.JavaPairRDD
classTag() - Method in class org.apache.spark.api.java.JavaRDD
classTag() - Method in interface org.apache.spark.api.java.JavaRDDLike
classTag() - Method in class org.apache.spark.storage.memory.DeserializedMemoryEntry
classTag() - Method in interface org.apache.spark.storage.memory.MemoryEntry
classTag() - Method in class org.apache.spark.storage.memory.SerializedMemoryEntry
classTag() - Method in class org.apache.spark.streaming.api.java.JavaDStream
classTag() - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike
classTag() - Method in class org.apache.spark.streaming.api.java.JavaInputDStream
classTag() - Method in class org.apache.spark.streaming.api.java.JavaPairDStream
classTag() - Method in class org.apache.spark.streaming.api.java.JavaReceiverInputDStream
clean(long, boolean) - Method in class org.apache.spark.streaming.util.WriteAheadLog: Clean all the records that are older than the threshold time.
clean(Object, boolean, boolean) - Static method in class org.apache.spark.util.SparkClosureCleaner: Clean the given closure in place.
CleanAccum - Class in org.apache.spark
CleanAccum(long) - Constructor for class org.apache.spark.CleanAccum
CleanBroadcast - Class in org.apache.spark
CleanBroadcast(long) - Constructor for class org.apache.spark.CleanBroadcast
CleanCheckpoint - Class in org.apache.spark
CleanCheckpoint(int) - Constructor for class org.apache.spark.CleanCheckpoint
cleanDirectory(File) - Method in interface org.apache.spark.util.SparkFileUtils: Delete recursively while keeping the given directory itself.
cleanDirectory(File) - Static method in class org.apache.spark.util.Utils
CleanerListener - Interface in org.apache.spark: Listener class used when any item has been cleaned by the Cleaner class.
cleaning() - Method in class org.apache.spark.status.LiveStage
CleanRDD - Class in org.apache.spark
CleanRDD(int) - Constructor for class org.apache.spark.CleanRDD
CleanShuffle - Class in org.apache.spark
CleanShuffle(int) - Constructor for class org.apache.spark.CleanShuffle
cleanShuffleDependencies(boolean) - Method in class org.apache.spark.rdd.RDD: Removes an RDD's shuffles and it's non-persisted ancestors.
CleanSparkListener - Class in org.apache.spark
CleanSparkListener(SparkListener) - Constructor for class org.apache.spark.CleanSparkListener
cleanupApplication() - Method in interface org.apache.spark.shuffle.api.ShuffleDriverComponents: Called once at the end of the Spark application to clean up any existing shuffle state.
cleanupOldBlocks(long) - Method in interface org.apache.spark.streaming.receiver.ReceivedBlockHandler: Cleanup old blocks older than the given threshold time
CleanupTask - Interface in org.apache.spark: Classes that represent cleaning tasks.
CleanupTaskWeakReference - Class in org.apache.spark: A WeakReference associated with a CleanupTask.
CleanupTaskWeakReference(CleanupTask, Object, ReferenceQueue<Object>) - Constructor for class org.apache.spark.CleanupTaskWeakReference
clear() - Method in interface org.apache.spark.sql.streaming.ListState: Function to remove the state for the current grouping key.
clear() - Method in interface org.apache.spark.sql.streaming.MapState: Function to remove the state for the current grouping key.
clear() - Method in interface org.apache.spark.sql.streaming.ValueState: Function to remove the state for the current grouping key.
clear() - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
clear() - Method in class org.apache.spark.sql.util.ExecutionListenerManager: Removes all the registered QueryExecutionListener.
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder
clear() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder
clear() - Static method in class org.apache.spark.util.AccumulatorContext: Clears all registered AccumulatorV2s.
clear(Param<?>) - Method in interface org.apache.spark.ml.param.Params: Clears the user-supplied value for the input param.
clearAccumulatorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: int64 accumulator_id = 2;
clearAccumulatorUpdates() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
clearAccumulatorUpdates() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
clearAccumulatorUpdates() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
clearActive() - Static method in class org.apache.spark.sql.SQLContext
clearActive() - Method in interface org.apache.spark.sql.SQLContextCompanion: Deprecated.
Use SparkSession.clearActiveSession instead. Since 2.0.0.
clearActiveSession() - Static method in class org.apache.spark.sql.SparkSession
clearActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 active_tasks = 9;
clearAddress() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional string address = 1;
clearAddresses() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
clearAddTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 add_time = 20;
clearAddTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: int64 add_time = 5;
clearAllRemovalsTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 all_removals_time_ms = 6;
clearAllUpdatesTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 all_updates_time_ms = 4;
clearAmount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: int64 amount = 2;
clearAmount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder: double amount = 2;
clearAppSparkVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string app_spark_version = 8;
clearAttempt() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int32 attempt = 3;
clearAttempt() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 attempt = 3;
clearAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string attempt_id = 1;
clearAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 attempt_id = 3;
clearAttempts() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
clearAttributes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
clearBarrier() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: bool barrier = 4;
clearBatchDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: int64 batch_duration = 6;
clearBatchId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: int64 batch_id = 5;
clearBlacklistedInStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 blacklisted_in_stages = 25;
clearBlockName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string block_name = 1;
clearBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double bytes_read = 18;
clearBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double bytes_read = 1;
clearBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder: int64 bytes_read = 1;
clearBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double bytes_written = 20;
clearBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double bytes_written = 1;
clearBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder: int64 bytes_written = 1;
clearBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder: int64 bytes_written = 1;
clearCache() - Method in class org.apache.spark.sql.catalog.Catalog: Removes all cached tables from the in-memory cache.
clearCache() - Method in class org.apache.spark.sql.SQLContext: Removes all cached tables from the in-memory cache.
clearCached() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: bool cached = 3;
clearCallsite() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string callsite = 5;
clearCallSite() - Method in class org.apache.spark.api.java.JavaSparkContext: Pass-through to SparkContext.setCallSite.
clearCallSite() - Method in class org.apache.spark.SparkContext: Clear the thread-local property for overriding the call sites of actions and RDDs.
clearChildClusters() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
clearChildNodes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
clearClasspathEntries() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
clearCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
clearCommitTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 commit_time_ms = 7;
clearCompleted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: bool completed = 7;
clearCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 completed_tasks = 11;
clearCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional int64 completion_time = 5;
clearCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional int64 completion_time = 9;
clearCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 completion_time = 12;
clearCoresGranted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 cores_granted = 3;
clearCoresPerExecutor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 cores_per_executor = 5;
clearCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double corrupt_merged_block_chunks = 1;
clearCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 corrupt_merged_block_chunks = 1;
clearCurrentDefaultValue() - Method in class org.apache.spark.sql.types.StructField: Clears the StructField of its current default value, if any.
clearCustomMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
clearDataDistribution() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
clearDefaultSession() - Static method in class org.apache.spark.sql.SparkSession
clearDependencies() - Method in class org.apache.spark.rdd.CoGroupedRDD
clearDependencies() - Method in class org.apache.spark.rdd.ShuffledRDD
clearDependencies() - Method in class org.apache.spark.rdd.UnionRDD
clearDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string desc = 3;
clearDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string desc = 3;
clearDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string description = 3;
clearDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: optional string description = 1;
clearDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string description = 1;
clearDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string description = 3;
clearDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string description = 40;
clearDeserialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: bool deserialized = 7;
clearDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string details = 4;
clearDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string details = 41;
clearDiscoveryScript() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string discovery_script = 3;
clearDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double disk_bytes_spilled = 17;
clearDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double disk_bytes_spilled = 15;
clearDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 disk_bytes_spilled = 14;
clearDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 disk_bytes_spilled = 22;
clearDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 disk_bytes_spilled = 24;
clearDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double disk_bytes_spilled = 14;
clearDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 disk_bytes_spilled = 9;
clearDiskSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: int64 disk_size = 9;
clearDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 disk_used = 6;
clearDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: int64 disk_used = 4;
clearDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: int64 disk_used = 4;
clearDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int64 disk_used = 7;
clearDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 duration = 5;
clearDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double duration = 5;
clearDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional int64 duration = 7;
clearDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 duration = 7;
clearDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double duration = 2;
clearDurationMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
clearEdges() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
clearEdges() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
clearEndOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string end_offset = 3;
clearEndTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 end_time = 3;
clearEndTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional int64 end_timestamp = 7;
clearErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string error_message = 10;
clearErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string error_message = 14;
clearErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string error_message = 14;
clearEventTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
clearException() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string exception = 5;
clearExcludedInStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 excluded_in_stages = 31;
clearExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: int64 execution_id = 1;
clearExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: int64 execution_id = 1;
clearExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_cpu_time = 9;
clearExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_cpu_time = 17;
clearExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_cpu_time = 19;
clearExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_cpu_time = 6;
clearExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_cpu_time = 4;
clearExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_deserialize_cpu_time = 7;
clearExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_deserialize_cpu_time = 15;
clearExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_deserialize_cpu_time = 17;
clearExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_cpu_time = 4;
clearExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_deserialize_cpu_time = 2;
clearExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_deserialize_time = 6;
clearExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_deserialize_time = 14;
clearExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_deserialize_time = 16;
clearExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_time = 3;
clearExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_deserialize_time = 1;
clearExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: optional string executor_id = 3;
clearExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string executor_id = 2;
clearExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string executor_id = 8;
clearExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string executor_id = 8;
clearExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
clearExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
clearExecutorMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
clearExecutorMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
clearExecutorResourceRequests() - Method in class org.apache.spark.resource.ResourceProfileBuilder
clearExecutorResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
clearExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_run_time = 8;
clearExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_run_time = 16;
clearExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_run_time = 18;
clearExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_run_time = 5;
clearExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_run_time = 3;
clearExecutors() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
clearExecutorSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
clearFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double failed_tasks = 3;
clearFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int32 failed_tasks = 2;
clearFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 failed_tasks = 10;
clearFailureReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string failure_reason = 13;
clearFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double fetch_wait_time = 5;
clearFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 fetch_wait_time = 3;
clearFirstTaskLaunchedTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 first_task_launched_time = 11;
clearFromId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder: int32 from_id = 1;
clearFromId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder: int64 from_id = 1;
clearGettingResultTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double getting_result_time = 13;
clearGettingResultTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 getting_result_time = 18;
clearGettingResultTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double getting_result_time = 10;
clearHadoopProperties() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
clearHasMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: bool has_metrics = 15;
clearHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string host = 9;
clearHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string host = 9;
clearHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string host_port = 2;
clearHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string host_port = 2;
clearHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string host_port = 3;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: int64 id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: int32 id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int32 id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: int32 id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: int64 id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: int64 id = 1;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string id = 2;
clearId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string id = 1;
clearIncomingEdges() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
clearIndex() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int32 index = 2;
clearIndex() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 index = 2;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: .org.apache.spark.status.protobuf.JobData info = 1;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
clearInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: .org.apache.spark.status.protobuf.StageData info = 1;
clearInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_bytes = 6;
clearInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 input_bytes = 5;
clearInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 input_bytes = 24;
clearInputBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 input_bytes_read = 26;
clearInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
clearInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
clearInputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_records = 7;
clearInputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 input_records = 6;
clearInputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 input_records = 25;
clearInputRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 input_records_read = 27;
clearInputRowsPerSecond() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: double input_rows_per_second = 6;
clearIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: bool is_active = 3;
clearIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: bool is_active = 3;
clearIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: bool is_active = 4;
clearIsBlacklisted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: bool is_blacklisted = 18;
clearIsBlacklistedForStage() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: bool is_blacklisted_for_stage = 15;
clearIsExcluded() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: bool is_excluded = 30;
clearIsExcludedForStage() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: bool is_excluded_for_stage = 17;
clearIsShufflePushEnabled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: bool is_shuffle_push_enabled = 63;
clearJavaHome() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_home = 2;
clearJavaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_version = 1;
clearJobGroup() - Method in class org.apache.spark.api.java.JavaSparkContext: Clear the current thread's job group ID and its description.
clearJobGroup() - Method in class org.apache.spark.SparkContext: Clear the current thread's job group ID and its description.
clearJobGroup() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string job_group = 7;
clearJobId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: All IDs are int64 for extendability, even when they are currently int32 in Spark.
clearJobIds() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: repeated int64 job_ids = 2;
clearJobs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
clearJobTags() - Method in class org.apache.spark.api.java.JavaSparkContext: Clear the current thread's job tags.
clearJobTags() - Method in class org.apache.spark.SparkContext: Clear the current thread's job tags.
clearJobTags() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
clearJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double jvm_gc_time = 11;
clearJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 jvm_gc_time = 19;
clearJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 jvm_gc_time = 21;
clearJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double jvm_gc_time = 8;
clearJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 jvm_gc_time = 6;
clearKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double killed_tasks = 5;
clearKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int32 killed_tasks = 4;
clearKilledTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
clearKillTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
clearLastUpdated() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 last_updated = 4;
clearLatestOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string latest_offset = 4;
clearLaunchTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 launch_time = 5;
clearLaunchTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 launch_time = 5;
clearLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double local_blocks_fetched = 4;
clearLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 local_blocks_fetched = 2;
clearLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 local_bytes_read = 6;
clearLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
clearLocalMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_blocks_fetched = 4;
clearLocalMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 local_merged_blocks_fetched = 4;
clearLocalMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_bytes_read = 8;
clearLocalMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 local_merged_bytes_read = 8;
clearLocalMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_chunks_fetched = 6;
clearLocalMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 local_merged_chunks_fetched = 6;
clearMaxCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 max_cores = 4;
clearMaxMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 max_memory = 19;
clearMaxTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 max_tasks = 8;
clearMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double memory_bytes_spilled = 16;
clearMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double memory_bytes_spilled = 14;
clearMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 memory_bytes_spilled = 13;
clearMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 memory_bytes_spilled = 21;
clearMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 memory_bytes_spilled = 23;
clearMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double memory_bytes_spilled = 13;
clearMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 memory_bytes_spilled = 8;
clearMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
clearMemoryPerExecutorMb() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 memory_per_executor_mb = 6;
clearMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: int64 memory_remaining = 3;
clearMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 memory_used = 5;
clearMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: int64 memory_used = 2;
clearMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: int64 memory_used = 3;
clearMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int64 memory_used = 6;
clearMemoryUsedBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 memory_used_bytes = 8;
clearMemSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: int64 mem_size = 8;
clearMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double merged_fetch_fallback_count = 2;
clearMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 merged_fetch_fallback_count = 2;
clearMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
clearMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
clearMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
clearMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
clearMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
clearMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
clearMetricsProperties() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
clearMetricType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string metric_type = 3;
clearMetricValues() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
clearMetricValuesIsNull() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: bool metric_values_is_null = 13;
clearModifiedConfigs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: optional string name = 1;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: optional string name = 1;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string name = 2;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string name = 1;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string name = 39;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string name = 1;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string name = 1;
clearName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string name = 3;
clearNode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
clearNodes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
clearNodes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
clearNumActiveStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_active_stages = 16;
clearNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_active_tasks = 10;
clearNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_active_tasks = 2;
clearNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_active_tasks = 5;
clearNumCachedPartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int32 num_cached_partitions = 4;
clearNumCompletedIndices() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_completed_indices = 15;
clearNumCompletedIndices() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_completed_indices = 9;
clearNumCompletedJobs() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder: int32 num_completed_jobs = 1;
clearNumCompletedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder: int32 num_completed_stages = 2;
clearNumCompletedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_completed_stages = 17;
clearNumCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_completed_tasks = 11;
clearNumCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_completed_tasks = 3;
clearNumCompleteTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_complete_tasks = 6;
clearNumFailedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_failed_stages = 19;
clearNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_failed_tasks = 13;
clearNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_failed_tasks = 4;
clearNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_failed_tasks = 7;
clearNumInputRows() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: int64 num_input_rows = 5;
clearNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_killed_tasks = 14;
clearNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_killed_tasks = 5;
clearNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_killed_tasks = 8;
clearNumOutputRows() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: int64 num_output_rows = 2;
clearNumPartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int32 num_partitions = 3;
clearNumRowsDroppedByWatermark() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_dropped_by_watermark = 9;
clearNumRowsRemoved() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_removed = 5;
clearNumRowsTotal() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_total = 2;
clearNumRowsUpdated() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_updated = 3;
clearNumShufflePartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_shuffle_partitions = 10;
clearNumSkippedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_skipped_stages = 18;
clearNumSkippedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_skipped_tasks = 12;
clearNumStateStoreInstances() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_state_store_instances = 11;
clearNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_tasks = 9;
clearNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_tasks = 1;
clearNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_tasks = 4;
clearObservedMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
clearOffHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 off_heap_memory_remaining = 8;
clearOffHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 off_heap_memory_used = 6;
clearOnHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 on_heap_memory_remaining = 7;
clearOnHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 on_heap_memory_used = 5;
clearOperatorName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: optional string operator_name = 1;
clearOutgoingEdges() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
clearOutputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_bytes = 8;
clearOutputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 output_bytes = 7;
clearOutputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 output_bytes = 26;
clearOutputBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 output_bytes_written = 28;
clearOutputDeterministicLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: .org.apache.spark.status.protobuf.DeterministicLevel output_deterministic_level = 6;
clearOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
clearOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
clearOutputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_records = 9;
clearOutputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 output_records = 8;
clearOutputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 output_records = 27;
clearOutputRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 output_records_written = 29;
clearPartitionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int32 partition_id = 4;
clearPartitionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 partition_id = 4;
clearPartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
clearPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double peak_execution_memory = 15;
clearPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 peak_execution_memory = 23;
clearPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 peak_execution_memory = 25;
clearPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double peak_execution_memory = 12;
clearPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 peak_execution_memory = 10;
clearPeakExecutorMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
clearPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
clearPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
clearPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
clearPhysicalPlanDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string physical_plan_description = 5;
clearProcessedRowsPerSecond() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: double processed_rows_per_second = 7;
clearProcessLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
clearProgress() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
clearQuantile() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: optional string quantile = 3;
clearQuantiles() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double quantiles = 1;
clearQuantiles() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated double quantiles = 1;
clearQuantiles() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double quantiles = 1;
clearQueryId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string query_id = 15;
clearRddBlocks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 rdd_blocks = 4;
clearRddIds() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated int64 rdd_ids = 43;
clearReadBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_bytes = 1;
clearReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_records = 2;
clearRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double records_read = 19;
clearRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double records_read = 2;
clearRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder: int64 records_read = 2;
clearRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 records_read = 7;
clearRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double records_written = 21;
clearRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double records_written = 2;
clearRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder: int64 records_written = 2;
clearRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder: int64 records_written = 3;
clearRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_blocks_fetched = 3;
clearRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_blocks_fetched = 1;
clearRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read = 6;
clearRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_bytes_read = 4;
clearRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read_to_disk = 7;
clearRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_bytes_read_to_disk = 5;
clearRemoteMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_blocks_fetched = 3;
clearRemoteMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_blocks_fetched = 3;
clearRemoteMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_bytes_read = 7;
clearRemoteMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_bytes_read = 7;
clearRemoteMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_chunks_fetched = 5;
clearRemoteMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_chunks_fetched = 5;
clearRemoteMergedReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_reqs_duration = 9;
clearRemoteMergedReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_reqs_duration = 9;
clearRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_reqs_duration = 9;
clearRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_reqs_duration = 8;
clearRemoveReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string remove_reason = 22;
clearRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional int64 remove_time = 21;
clearRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional int64 remove_time = 6;
clearResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string resource_name = 1;
clearResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder: optional string resource_name = 1;
clearResourceProfileId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 resource_profile_id = 29;
clearResourceProfileId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 resource_profile_id = 49;
clearResourceProfiles() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
clearResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
clearResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional int64 result_fetch_start = 6;
clearResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 result_fetch_start = 6;
clearResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double result_serialization_time = 12;
clearResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 result_serialization_time = 20;
clearResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 result_serialization_time = 22;
clearResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_serialization_time = 9;
clearResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 result_serialization_time = 7;
clearResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double result_size = 10;
clearResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 result_size = 18;
clearResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 result_size = 20;
clearResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_size = 7;
clearResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 result_size = 5;
clearRootCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
clearRootExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: int64 root_execution_id = 2;
clearRpInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
clearRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string run_id = 3;
clearRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string run_id = 2;
clearRuntime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
clearScalaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string scala_version = 3;
clearSchedulerDelay() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double scheduler_delay = 14;
clearSchedulerDelay() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 scheduler_delay = 17;
clearSchedulerDelay() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double scheduler_delay = 11;
clearSchedulingPool() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string scheduling_pool = 42;
clearShuffleBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_bytes_written = 37;
clearShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_corrupt_merged_block_chunks = 33;
clearShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_corrupt_merged_block_chunks = 53;
clearShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_corrupt_merged_block_chunks = 42;
clearShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_fetch_wait_time = 26;
clearShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_fetch_wait_time = 30;
clearShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_fetch_wait_time = 32;
clearShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_local_blocks_fetched = 25;
clearShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_local_blocks_fetched = 29;
clearShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_local_blocks_fetched = 31;
clearShuffleLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_local_bytes_read = 33;
clearShuffleLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_local_bytes_read = 35;
clearShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_fetch_fallback_count = 34;
clearShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_fetch_fallback_count = 54;
clearShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_fetch_fallback_count = 43;
clearShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_local_blocks_fetched = 36;
clearShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_local_blocks_fetched = 56;
clearShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_local_blocks_fetched = 45;
clearShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_local_bytes_read = 40;
clearShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_local_bytes_read = 60;
clearShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_local_bytes_read = 49;
clearShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_local_chunks_fetched = 38;
clearShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_local_chunks_fetched = 58;
clearShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_local_chunks_fetched = 47;
clearShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_blocks_fetched = 35;
clearShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_blocks_fetched = 55;
clearShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_blocks_fetched = 44;
clearShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_bytes_read = 39;
clearShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_bytes_read = 59;
clearShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_bytes_read = 48;
clearShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_chunks_fetched = 37;
clearShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_chunks_fetched = 57;
clearShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_chunks_fetched = 46;
clearShuffleMergedRemoteReqDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_req_duration = 51;
clearShuffleMergedRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_reqs_duration = 42;
clearShuffleMergedRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_reqs_duration = 62;
clearShuffleMergersCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 shuffle_mergers_count = 64;
clearShufflePushReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
clearShufflePushReadMetricsDist() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
clearShuffleRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read = 10;
clearShuffleRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_read = 9;
clearShuffleReadBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_read_bytes = 22;
clearShuffleReadBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_read_bytes = 34;
clearShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
clearShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
clearShuffleReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read_records = 11;
clearShuffleReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_read_records = 10;
clearShuffleReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_read_records = 35;
clearShuffleRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_records_read = 23;
clearShuffleRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_records_read = 36;
clearShuffleRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_records_written = 39;
clearShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_blocks_fetched = 24;
clearShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_blocks_fetched = 28;
clearShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_blocks_fetched = 30;
clearShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_bytes_read = 27;
clearShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_bytes_read = 31;
clearShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_bytes_read = 33;
clearShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_bytes_read_to_disk = 28;
clearShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_bytes_read_to_disk = 32;
clearShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_bytes_read_to_disk = 34;
clearShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_reqs_duration = 41;
clearShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_reqs_duration = 61;
clearShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_reqs_duration = 50;
clearShuffleTotalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_total_blocks_fetched = 29;
clearShuffleWrite() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write = 12;
clearShuffleWrite() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_write = 11;
clearShuffleWriteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_write_bytes = 30;
clearShuffleWriteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_write_bytes = 36;
clearShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
clearShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
clearShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_write_records = 31;
clearShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write_records = 13;
clearShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_write_records = 12;
clearShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_write_records = 38;
clearShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_write_time = 32;
clearShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_write_time = 37;
clearShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_write_time = 38;
clearSink() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
clearSkippedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: repeated int32 skipped_stages = 2;
clearSources() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
clearSparkProperties() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
clearSparkUser() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string spark_user = 6;
clearSpeculationSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
clearSpeculative() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: bool speculative = 12;
clearSpeculative() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: bool speculative = 12;
clearSqlExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: optional int64 sql_execution_id = 3;
clearStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: int32 stage_attempt_id = 2;
clearStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: int32 stage_attempt_id = 2;
clearStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: int32 stage_attempt_id = 2;
clearStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 stage_attempt_id = 41;
clearStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: int64 stage_id = 1;
clearStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: int64 stage_id = 1;
clearStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: int64 stage_id = 1;
clearStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: int64 stage_id = 1;
clearStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 stage_id = 2;
clearStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 stage_id = 40;
clearStageIds() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated int64 stage_ids = 6;
clearStageIds() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: repeated int64 stage_ids = 2;
clearStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated int64 stages = 12;
clearStartOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string start_offset = 2;
clearStartTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 start_time = 2;
clearStartTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: int64 start_timestamp = 6;
clearStateOperators() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
clearStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: .org.apache.spark.status.protobuf.JobExecutionStatus status = 8;
clearStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: .org.apache.spark.status.protobuf.StageStatus status = 1;
clearStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string status = 10;
clearStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string status = 10;
clearStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string storage_level = 2;
clearStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string storage_level = 5;
clearStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string storage_level = 4;
clearSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional int64 submission_time = 4;
clearSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: int64 submission_time = 8;
clearSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 submission_time = 10;
clearSucceededTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double succeeded_tasks = 4;
clearSucceededTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int32 succeeded_tasks = 3;
clearSystemProperties() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
clearTags() - Method in class org.apache.spark.sql.SparkSession: Clear the current thread's operation tags.
clearTaskCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: int64 task_count = 4;
clearTaskId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 task_id = 1;
clearTaskId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 task_id = 1;
clearTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string task_locality = 11;
clearTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string task_locality = 11;
clearTaskMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
clearTaskMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
clearTaskResourceRequests() - Method in class org.apache.spark.resource.ResourceProfileBuilder
clearTaskResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
clearTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
clearTaskTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double task_time = 2;
clearTaskTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 task_time = 1;
clearThreshold() - Method in class org.apache.spark.mllib.classification.LogisticRegressionModel: Clears the threshold so that predict will output raw prediction scores.
clearThreshold() - Method in class org.apache.spark.mllib.classification.SVMModel: Clears the threshold so that predict will output raw prediction scores.
clearTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string timestamp = 4;
clearToId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder: int32 to_id = 2;
clearToId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder: int64 to_id = 2;
clearTotalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double total_blocks_fetched = 8;
clearTotalCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 total_cores = 7;
clearTotalCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: int32 total_cores = 4;
clearTotalDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_duration = 13;
clearTotalGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_gc_time = 14;
clearTotalInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_input_bytes = 15;
clearTotalOffHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 total_off_heap_storage_memory = 4;
clearTotalOnHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 total_on_heap_storage_memory = 3;
clearTotalShuffleRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_shuffle_read = 16;
clearTotalShuffleWrite() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_shuffle_write = 17;
clearTotalTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 total_tasks = 12;
clearUpdate() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string update = 3;
clearUseDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: bool use_disk = 6;
clearUsedOffHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 used_off_heap_storage_memory = 2;
clearUsedOnHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 used_on_heap_storage_memory = 1;
clearUseMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: bool use_memory = 5;
clearValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string value = 4;
clearValue1() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value1 = 1;
clearValue2() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value2 = 2;
clearVendor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string vendor = 4;
clearWrapper() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
clearWriteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_bytes = 1;
clearWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_records = 2;
clearWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_time = 3;
clearWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder: int64 write_time = 2;
Clock - Interface in org.apache.spark.util: An interface to represent clocks, so that they can be mocked out in unit tests.
CLogLog$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.CLogLog$
clone() - Method in class org.apache.spark.scheduler.TaskInfo
clone() - Method in class org.apache.spark.SparkConf: Copy this object
clone() - Method in class org.apache.spark.sql.ExperimentalMethods
clone() - Method in class org.apache.spark.sql.types.Decimal
clone() - Method in class org.apache.spark.storage.StorageLevel
clone() - Method in class org.apache.spark.util.random.BernoulliCellSampler
clone() - Method in class org.apache.spark.util.random.BernoulliSampler
clone() - Method in class org.apache.spark.util.random.PoissonSampler
clone() - Method in interface org.apache.spark.util.random.RandomSampler: return a copy of the RandomSampler object
clone(T, SerializerInstance, ClassTag<T>) - Static method in class org.apache.spark.util.Utils: Clone an object using a Spark serializer.
cloneComplement() - Method in class org.apache.spark.util.random.BernoulliCellSampler: Return a sampler that is the complement of the range specified of the current sampler.
cloneProperties(Properties) - Static method in class org.apache.spark.util.Utils: Create a new properties object with the same values as `props`
close() - Method in class org.apache.spark.api.java.JavaSparkContext
close() - Method in class org.apache.spark.io.NioBufferedFileInputStream
close() - Method in class org.apache.spark.io.ReadAheadInputStream
close() - Method in class org.apache.spark.serializer.DeserializationStream
close() - Method in class org.apache.spark.serializer.SerializationStream
close() - Method in class org.apache.spark.sql.streaming.StatefulProcessor: Function called as the last method that allows for users to perform any cleanup or teardown operations.
close() - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
close() - Method in class org.apache.spark.sql.vectorized.ColumnarBatch: Called to close all the columns in this batch.
close() - Method in class org.apache.spark.sql.vectorized.ColumnVector: Cleans up memory for this column vector.
close() - Method in class org.apache.spark.storage.BufferReleasingInputStream
close() - Method in class org.apache.spark.storage.CountingWritableChannel
close() - Method in class org.apache.spark.storage.TimeTrackingOutputStream
close() - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.
close() - Method in class org.apache.spark.streaming.util.WriteAheadLog: Close this log and release any resources.
close(Throwable) - Method in class org.apache.spark.sql.ForeachWriter: Called when stopping to process one partition of new data in the executor side.
CloseableIterator<E> - Interface in org.apache.spark.sql.util
closeIfFreeable() - Method in class org.apache.spark.sql.vectorized.ColumnarBatch: Called to close all the columns if their resources are freeable between batches.
closeIfFreeable() - Method in class org.apache.spark.sql.vectorized.ColumnVector: Cleans up memory for this column vector if it's resources are freeable between batches.
closeQuietly(Closeable) - Method in interface org.apache.spark.util.SparkErrorUtils: Try to close by ignoring all exceptions.
closeQuietly(Closeable) - Static method in class org.apache.spark.util.Utils
ClosureCleaner - Class in org.apache.spark.util: A cleaner that renders closures serializable if they can be done so safely.
ClosureCleaner() - Constructor for class org.apache.spark.util.ClosureCleaner
closureSerializer() - Method in class org.apache.spark.SparkEnv
cls() - Method in class org.apache.spark.sql.types.ObjectType
cls() - Method in class org.apache.spark.util.MethodIdentifier
clsTag() - Method in interface org.apache.spark.sql.Encoder: A ClassTag that can be used to construct an Array to contain a collection of T.
cluster() - Method in class org.apache.spark.ml.clustering.ClusteringSummary
cluster() - Method in class org.apache.spark.mllib.clustering.PowerIterationClustering.Assignment
CLUSTER - Enum constant in enum class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.WrapperCase
CLUSTER_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
Cluster$() - Constructor for class org.apache.spark.mllib.clustering.KMeansModel.Cluster$
clusterBy(String...) - Method in class org.apache.spark.sql.streaming.DataStreamWriter: Clusters the output by the given columns.
clusterBy(String, String...) - Method in interface org.apache.spark.sql.CreateTableWriter: Clusters the output by the given columns on the storage.
clusterBy(String, String...) - Method in class org.apache.spark.sql.DataFrameWriter: Clusters the output by the given columns on the storage.
clusterBy(String, String...) - Method in class org.apache.spark.sql.DataFrameWriterV2
clusterBy(String, Seq<String>) - Method in interface org.apache.spark.sql.CreateTableWriter: Clusters the output by the given columns on the storage.
clusterBy(String, Seq<String>) - Method in class org.apache.spark.sql.DataFrameWriter: Clusters the output by the given columns on the storage.
clusterBy(String, Seq<String>) - Method in class org.apache.spark.sql.DataFrameWriterV2
clusterBy(NamedReference[]) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for changing clustering columns for a table.
clusterBy(NamedReference[]) - Static method in class org.apache.spark.sql.connector.expressions.LogicalExpressions
clusterBy(Seq<String>) - Method in class org.apache.spark.sql.streaming.DataStreamWriter: Clusters the output by the given columns.
ClusterByHelper(ClusterBySpec) - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.ClusterByHelper
ClusterByTransform - Class in org.apache.spark.sql.connector.expressions: This class represents a transform for ClusterBySpec.
ClusterByTransform(Seq<NamedReference>) - Constructor for class org.apache.spark.sql.connector.expressions.ClusterByTransform
clusterCenters() - Method in class org.apache.spark.ml.clustering.BisectingKMeansModel
clusterCenters() - Method in class org.apache.spark.ml.clustering.KMeansModel
clusterCenters() - Method in class org.apache.spark.mllib.clustering.BisectingKMeansModel: Leaf cluster centers.
clusterCenters() - Method in class org.apache.spark.mllib.clustering.KMeansModel
clusterCenters() - Method in class org.apache.spark.mllib.clustering.StreamingKMeansModel
clustered(Expression[]) - Static method in class org.apache.spark.sql.connector.distributions.Distributions: Creates a distribution where tuples that share the same values for clustering expressions are co-located in the same partition.
clustered(Expression[]) - Static method in class org.apache.spark.sql.connector.distributions.LogicalDistributions
ClusteredDistribution - Interface in org.apache.spark.sql.connector.distributions: A distribution where tuples that share the same values for clustering expressions are co-located in the same partition.
clustering() - Method in interface org.apache.spark.sql.connector.distributions.ClusteredDistribution: Returns clustering expressions.
clusteringColumns() - Method in class org.apache.spark.sql.connector.catalog.TableChange.ClusterBy
ClusteringEvaluator - Class in org.apache.spark.ml.evaluation: Evaluator for clustering results.
ClusteringEvaluator() - Constructor for class org.apache.spark.ml.evaluation.ClusteringEvaluator
ClusteringEvaluator(String) - Constructor for class org.apache.spark.ml.evaluation.ClusteringEvaluator
ClusteringMetrics - Class in org.apache.spark.ml.evaluation: Metrics for clustering, which expects two input columns: prediction and label.
ClusteringSummary - Class in org.apache.spark.ml.clustering: Summary of clustering algorithms.
clusterSizes() - Method in class org.apache.spark.ml.clustering.ClusteringSummary
ClusterStats(Vector, double, double) - Constructor for class org.apache.spark.ml.evaluation.SquaredEuclideanSilhouette.ClusterStats
ClusterStats$() - Constructor for class org.apache.spark.ml.evaluation.SquaredEuclideanSilhouette.ClusterStats$
clusterWeights() - Method in class org.apache.spark.mllib.clustering.StreamingKMeansModel
cn() - Method in class org.apache.spark.mllib.feature.VocabWord
coalesce(int) - Method in class org.apache.spark.api.java.JavaDoubleRDD: Return a new RDD that is reduced into numPartitions partitions.
coalesce(int) - Method in class org.apache.spark.api.java.JavaPairRDD: Return a new RDD that is reduced into numPartitions partitions.
coalesce(int) - Method in class org.apache.spark.api.java.JavaRDD: Return a new RDD that is reduced into numPartitions partitions.
coalesce(int) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset that has exactly numPartitions partitions, when the fewer partitions are requested.
coalesce(int, boolean) - Method in class org.apache.spark.api.java.JavaDoubleRDD: Return a new RDD that is reduced into numPartitions partitions.
coalesce(int, boolean) - Method in class org.apache.spark.api.java.JavaPairRDD: Return a new RDD that is reduced into numPartitions partitions.
coalesce(int, boolean) - Method in class org.apache.spark.api.java.JavaRDD: Return a new RDD that is reduced into numPartitions partitions.
coalesce(int, boolean, Option<PartitionCoalescer>, Ordering<T>) - Method in class org.apache.spark.rdd.RDD: Return a new RDD that is reduced into numPartitions partitions.
coalesce(int, RDD<?>) - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer: Runs the packing algorithm and returns an array of PartitionGroups that if possible are load balanced and grouped by locality
coalesce(int, RDD<?>) - Method in interface org.apache.spark.rdd.PartitionCoalescer: Coalesce the partitions of the given RDD.
coalesce(Column...) - Static method in class org.apache.spark.sql.functions: Returns the first column that is not null, or null if all inputs are null.
coalesce(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Returns the first column that is not null, or null if all inputs are null.
CoarseGrainedClusterMessage - Interface in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages
CoarseGrainedClusterMessages.AddWebUIFilter - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.AddWebUIFilter$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.DecommissionExecutor$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.DecommissionExecutorsOnHost - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.DecommissionExecutorsOnHost$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.ExecutorDecommissioning - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.ExecutorDecommissioning$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.ExecutorDecommissionSigReceived$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.GetExecutorLossReason - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.GetExecutorLossReason$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.IsExecutorAlive - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.IsExecutorAlive$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.KillExecutors - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.KillExecutors$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.KillExecutorsOnHost - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.KillExecutorsOnHost$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.KillTask - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.KillTask$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.LaunchedExecutor - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.LaunchedExecutor$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.LaunchTask - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.LaunchTask$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.MiscellaneousProcessAdded - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.MiscellaneousProcessAdded$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RegisterClusterManager - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RegisterClusterManager$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RegisterExecutor - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RegisterExecutor$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RemoveExecutor - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RemoveExecutor$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RemoveWorker - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RemoveWorker$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RequestExecutors - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RequestExecutors$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RetrieveDelegationTokens$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RetrieveLastAllocatedExecutorId$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RetrieveSparkAppConfig - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.RetrieveSparkAppConfig$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.ReviveOffers$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.SetupDriver - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.SetupDriver$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.ShufflePushCompletion - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.ShufflePushCompletion$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.Shutdown - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.Shutdown$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.SparkAppConfig - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.SparkAppConfig$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.StatusUpdate - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.StatusUpdate$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.StopDriver$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.StopExecutor$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.StopExecutors$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.TaskThreadDump - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.TaskThreadDump$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.UpdateDelegationTokens - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.UpdateDelegationTokens$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.UpdateExecutorLogLevel - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.UpdateExecutorLogLevel$ - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.UpdateExecutorsLogLevel - Class in org.apache.spark.scheduler.cluster
CoarseGrainedClusterMessages.UpdateExecutorsLogLevel$ - Class in org.apache.spark.scheduler.cluster
code() - Method in class org.apache.spark.mllib.feature.VocabWord
code() - Method in class org.apache.spark.util.SparkTestUtils.JavaSourceFromString
CodegenMetrics - Class in org.apache.spark.metrics.source: Metrics for code generation.
CodegenMetrics() - Constructor for class org.apache.spark.metrics.source.CodegenMetrics
codeLen() - Method in class org.apache.spark.mllib.feature.VocabWord
coefficientMatrix() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
coefficients() - Method in class org.apache.spark.ml.classification.LinearSVCModel
coefficients() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel: A vector of model coefficients for "binomial" logistic regression.
coefficients() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegressionModel
coefficients() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel
coefficients() - Method in class org.apache.spark.ml.regression.LinearRegressionModel
coefficientStandardErrors() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionTrainingSummary
coefficientStandardErrors() - Method in class org.apache.spark.ml.regression.LinearRegressionSummary
cogroup(JavaPairRDD<K, W>) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other, return a resulting RDD that contains a tuple with the list of values for that key in this as well as other.
cogroup(JavaPairRDD<K, W>, int) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other, return a resulting RDD that contains a tuple with the list of values for that key in this as well as other.
cogroup(JavaPairRDD<K, W>, Partitioner) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other, return a resulting RDD that contains a tuple with the list of values for that key in this as well as other.
cogroup(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other1 or other2, return a resulting RDD that contains a tuple with the list of values for that key in this, other1 and other2.
cogroup(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>, int) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other1 or other2, return a resulting RDD that contains a tuple with the list of values for that key in this, other1 and other2.
cogroup(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>, JavaPairRDD<K, W3>) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other1 or other2 or other3, return a resulting RDD that contains a tuple with the list of values for that key in this, other1, other2 and other3.
cogroup(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>, JavaPairRDD<K, W3>, int) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other1 or other2 or other3, return a resulting RDD that contains a tuple with the list of values for that key in this, other1, other2 and other3.
cogroup(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>, JavaPairRDD<K, W3>, Partitioner) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other1 or other2 or other3, return a resulting RDD that contains a tuple with the list of values for that key in this, other1, other2 and other3.
cogroup(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>, Partitioner) - Method in class org.apache.spark.api.java.JavaPairRDD: For each key k in this or other1 or other2, return a resulting RDD that contains a tuple with the list of values for that key in this, other1 and other2.
cogroup(RDD<Tuple2<K, W>>) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other, return a resulting RDD that contains a tuple with the list of values for that key in this as well as other.
cogroup(RDD<Tuple2<K, W>>, int) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other, return a resulting RDD that contains a tuple with the list of values for that key in this as well as other.
cogroup(RDD<Tuple2<K, W>>, Partitioner) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other, return a resulting RDD that contains a tuple with the list of values for that key in this as well as other.
cogroup(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other1 or other2, return a resulting RDD that contains a tuple with the list of values for that key in this, other1 and other2.
cogroup(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>, int) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other1 or other2, return a resulting RDD that contains a tuple with the list of values for that key in this, other1 and other2.
cogroup(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>, Partitioner) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other1 or other2, return a resulting RDD that contains a tuple with the list of values for that key in this, other1 and other2.
cogroup(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>, RDD<Tuple2<K, W3>>) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other1 or other2 or other3, return a resulting RDD that contains a tuple with the list of values for that key in this, other1, other2 and other3.
cogroup(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>, RDD<Tuple2<K, W3>>, int) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other1 or other2 or other3, return a resulting RDD that contains a tuple with the list of values for that key in this, other1, other2 and other3.
cogroup(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>, RDD<Tuple2<K, W3>>, Partitioner) - Method in class org.apache.spark.rdd.PairRDDFunctions: For each key k in this or other1 or other2 or other3, return a resulting RDD that contains a tuple with the list of values for that key in this, other1, other2 and other3.
cogroup(KeyValueGroupedDataset<K, U>, CoGroupFunction<K, V, U, R>, Encoder<R>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Java-specific) Applies the given function to each cogrouped data.
cogroup(KeyValueGroupedDataset<K, U>, Function3<K, Iterator<V>, Iterator, IterableOnce<R>>, Encoder<R>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Scala-specific) Applies the given function to each cogrouped data.
cogroup(JavaPairDStream<K, W>) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying 'cogroup' between RDDs of this DStream and other DStream.
cogroup(JavaPairDStream<K, W>, int) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying 'cogroup' between RDDs of this DStream and other DStream.
cogroup(JavaPairDStream<K, W>, Partitioner) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying 'cogroup' between RDDs of this DStream and other DStream.
cogroup(DStream<Tuple2<K, W>>, int, ClassTag<W>) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying 'cogroup' between RDDs of this DStream and other DStream.
cogroup(DStream<Tuple2<K, W>>, Partitioner, ClassTag<W>) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying 'cogroup' between RDDs of this DStream and other DStream.
cogroup(DStream<Tuple2<K, W>>, ClassTag<W>) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying 'cogroup' between RDDs of this DStream and other DStream.
CoGroupedRDD<K> - Class in org.apache.spark.rdd: :: DeveloperApi :: An RDD that cogroups its parents.
CoGroupedRDD(Seq<RDD<? extends Product2<K, ?>>>, Partitioner, ClassTag<K>) - Constructor for class org.apache.spark.rdd.CoGroupedRDD
CoGroupFunction<K,V1,V2,R> - Interface in org.apache.spark.api.java.function: A function that returns zero or more output records from each grouping key and its values from 2 Datasets.
cogroupSorted(KeyValueGroupedDataset<K, U>, Column[], Column[], CoGroupFunction<K, V, U, R>, Encoder<R>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Java-specific) Applies the given function to each sorted cogrouped data.
cogroupSorted(KeyValueGroupedDataset<K, U>, Seq<Column>, Seq<Column>, Function3<K, Iterator<V>, Iterator, IterableOnce<R>>, Encoder<R>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Scala-specific) Applies the given function to each sorted cogrouped data.
col(String) - Method in class org.apache.spark.sql.Dataset: Selects column based on the column name and returns it as a Column.
col(String) - Static method in class org.apache.spark.sql.functions: Returns a Column based on the given column name.
coldStartStrategy() - Method in class org.apache.spark.ml.recommendation.ALS
coldStartStrategy() - Method in class org.apache.spark.ml.recommendation.ALSModel
coldStartStrategy() - Method in interface org.apache.spark.ml.recommendation.ALSModelParams: Param for strategy for dealing with unknown or new users/items at prediction time.
colIter() - Method in class org.apache.spark.ml.linalg.DenseMatrix
colIter() - Method in interface org.apache.spark.ml.linalg.Matrix: Returns an iterator of column vectors.
colIter() - Method in class org.apache.spark.ml.linalg.SparseMatrix
colIter() - Method in class org.apache.spark.mllib.linalg.DenseMatrix
colIter() - Method in interface org.apache.spark.mllib.linalg.Matrix: Returns an iterator of column vectors.
colIter() - Method in class org.apache.spark.mllib.linalg.SparseMatrix
collate(Column, String) - Static method in class org.apache.spark.sql.functions: Marks a given column with specified collation.
CollatedEqualNullSafe - Class in org.apache.spark.sql.sources: Collation aware equivalent of EqualNullSafe.
CollatedEqualNullSafe(String, Object, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedEqualNullSafe
CollatedEqualTo - Class in org.apache.spark.sql.sources: Collation aware equivalent of EqualTo.
CollatedEqualTo(String, Object, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedEqualTo
CollatedFilter - Class in org.apache.spark.sql.sources: Base class for collation aware string filters.
CollatedFilter() - Constructor for class org.apache.spark.sql.sources.CollatedFilter
CollatedGreaterThan - Class in org.apache.spark.sql.sources: Collation aware equivalent of GreaterThan.
CollatedGreaterThan(String, Object, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedGreaterThan
CollatedGreaterThanOrEqual - Class in org.apache.spark.sql.sources: Collation aware equivalent of GreaterThanOrEqual.
CollatedGreaterThanOrEqual(String, Object, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedGreaterThanOrEqual
CollatedIn - Class in org.apache.spark.sql.sources: Collation aware equivalent of In.
CollatedIn(String, Object[], DataType) - Constructor for class org.apache.spark.sql.sources.CollatedIn
CollatedLessThan - Class in org.apache.spark.sql.sources: Collation aware equivalent of LessThan.
CollatedLessThan(String, Object, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedLessThan
CollatedLessThanOrEqual - Class in org.apache.spark.sql.sources: Collation aware equivalent of LessThanOrEqual.
CollatedLessThanOrEqual(String, Object, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedLessThanOrEqual
CollatedStringContains - Class in org.apache.spark.sql.sources: Collation aware equivalent of StringContains.
CollatedStringContains(String, String, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedStringContains
CollatedStringEndsWith - Class in org.apache.spark.sql.sources: Collation aware equivalent of StringEndsWith.
CollatedStringEndsWith(String, String, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedStringEndsWith
CollatedStringStartsWith - Class in org.apache.spark.sql.sources: Collation aware equivalent of StringStartsWith.
CollatedStringStartsWith(String, String, DataType) - Constructor for class org.apache.spark.sql.sources.CollatedStringStartsWith
collation() - Method in class org.apache.spark.sql.types.CharType
collation() - Method in class org.apache.spark.sql.types.VarcharType
collation(Column) - Static method in class org.apache.spark.sql.functions: Returns the collation name of a given column.
collationId() - Static method in class org.apache.spark.sql.types.IndeterminateStringType
collationId() - Method in class org.apache.spark.sql.types.StringType
collations() - Method in class org.apache.spark.sql.TableValuedFunction: Gets all of the Spark SQL string collations.
COLLATIONS_METADATA_KEY() - Static method in class org.apache.spark.sql.types.DataType
collect() - Method in interface org.apache.spark.api.java.JavaRDDLike: Return an array that contains all of the elements in this RDD.
collect() - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl
collect() - Method in class org.apache.spark.rdd.RDD: Return an array that contains all of the elements in this RDD.
collect() - Method in class org.apache.spark.sql.Dataset: Returns an array that contains all rows in this Dataset.
collect(PartialFunction<T, U>, ClassTag) - Method in class org.apache.spark.rdd.RDD: Return an RDD that contains all matching values by applying f.
collect_list(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns a list of objects with duplicates.
collect_list(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns a list of objects with duplicates.
COLLECT_METRICS_ACCUMULATOR() - Static method in class org.apache.spark.InternalAccumulator
collect_set(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns a set of objects with duplicate elements eliminated.
collect_set(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns a set of objects with duplicate elements eliminated.
collectAsList() - Method in class org.apache.spark.sql.Dataset: Returns a Java list that contains all rows in this Dataset.
collectAsMap() - Method in class org.apache.spark.api.java.JavaPairRDD: Return the key-value pairs in this RDD to the master as a Map.
collectAsMap() - Method in class org.apache.spark.rdd.PairRDDFunctions: Return the key-value pairs in this RDD to the master as a Map.
collectAsync() - Method in interface org.apache.spark.api.java.JavaRDDLike: The asynchronous version of collect, which returns a future for retrieving an array containing all of the elements in this RDD.
collectAsync() - Method in class org.apache.spark.rdd.AsyncRDDActions: Returns a future for retrieving all elements of this RDD.
collectConstraintChanges(Table, Seq<TableChange>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util: Extracts and validates table constraints from a sequence of table changes.
collectEdges(EdgeDirection) - Method in class org.apache.spark.graphx.GraphOps: Returns an RDD that contains for each vertex v its local edges, i.e., the edges that are incident on v, in the user-specified direction.
collectionAccumulator() - Method in class org.apache.spark.SparkContext: Create and register a CollectionAccumulator, which starts with empty list and accumulates inputs by adding them into the list.
collectionAccumulator(String) - Method in class org.apache.spark.SparkContext: Create and register a CollectionAccumulator, which starts with empty list and accumulates inputs by adding them into the list.
CollectionAccumulator<T> - Class in org.apache.spark.util: An accumulator for collecting a list of elements.
CollectionAccumulator() - Constructor for class org.apache.spark.util.CollectionAccumulator
CollectionsUtils - Class in org.apache.spark.util
CollectionsUtils() - Constructor for class org.apache.spark.util.CollectionsUtils
collectNeighborIds(EdgeDirection) - Method in class org.apache.spark.graphx.GraphOps: Collect the neighbor vertex ids for each vertex.
collectNeighbors(EdgeDirection) - Method in class org.apache.spark.graphx.GraphOps: Collect the neighbor vertex attributes for each vertex.
collectPartitions(int[]) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return an array that contains all of the elements in a specific partition of this RDD.
collectSubModels() - Method in interface org.apache.spark.ml.param.shared.HasCollectSubModels: Param for whether to collect a list of sub-models trained during tuning.
collectSubModels() - Method in class org.apache.spark.ml.tuning.CrossValidator
collectSubModels() - Method in class org.apache.spark.ml.tuning.TrainValidationSplit
colName() - Method in record class org.apache.spark.sql.connector.read.SupportsPushDownJoin.ColumnWithAlias: Returns the value of the colName record component.
colPtrs() - Method in class org.apache.spark.ml.linalg.SparseMatrix
colPtrs() - Method in class org.apache.spark.mllib.linalg.SparseMatrix
colRegex(String) - Method in class org.apache.spark.sql.Dataset: Selects column based on the column name specified as a regex and returns it as Column.
colsPerBlock() - Method in class org.apache.spark.mllib.linalg.distributed.BlockMatrix
colStats(RDD<Vector>) - Static method in class org.apache.spark.mllib.stat.Statistics: Computes column-wise summary statistics for the input RDD[Vector].
column() - Method in class org.apache.spark.sql.connector.catalog.TableChange.After
column() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Avg
column() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Count
column() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Max
column() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Min
column() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Sum
column(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatch: Returns the column at `ordinal`.
column(String) - Static method in class org.apache.spark.sql.connector.expressions.Expressions: Create a named reference expression for a (nested) column.
column(String) - Static method in class org.apache.spark.sql.functions: Returns a Column based on the given column name.
Column - Class in org.apache.spark.sql.catalog: A column in Spark, as returned by listColumns method in Catalog.
Column - Class in org.apache.spark.sql: A column that will be computed based on the data in a DataFrame.
Column - Interface in org.apache.spark.sql.connector.catalog: An interface representing a column of a Table.
Column(String) - Constructor for class org.apache.spark.sql.Column
Column(String, String, String, boolean, boolean, boolean) - Constructor for class org.apache.spark.sql.catalog.Column
Column(String, String, String, boolean, boolean, boolean, boolean) - Constructor for class org.apache.spark.sql.catalog.Column
Column(ColumnNode) - Constructor for class org.apache.spark.sql.Column
columnAliases() - Method in interface org.apache.spark.sql.connector.catalog.View: The view column aliases.
columnAliases() - Method in class org.apache.spark.sql.connector.catalog.ViewInfo
ColumnarArray - Class in org.apache.spark.sql.vectorized: Array abstraction in ColumnVector.
ColumnarArray(ColumnVector, int, int) - Constructor for class org.apache.spark.sql.vectorized.ColumnarArray
ColumnarBatch - Class in org.apache.spark.sql.vectorized: This class wraps multiple ColumnVectors as a row-wise table.
ColumnarBatch(ColumnVector[]) - Constructor for class org.apache.spark.sql.vectorized.ColumnarBatch
ColumnarBatch(ColumnVector[], int) - Constructor for class org.apache.spark.sql.vectorized.ColumnarBatch: Create a new batch from existing column vectors.
ColumnarBatchRow - Class in org.apache.spark.sql.vectorized: This class wraps an array of ColumnVector and provides a row view.
ColumnarBatchRow(ColumnVector[]) - Constructor for class org.apache.spark.sql.vectorized.ColumnarBatchRow
ColumnarMap - Class in org.apache.spark.sql.vectorized: Map abstraction in ColumnVector.
ColumnarMap(ColumnVector, ColumnVector, int, int) - Constructor for class org.apache.spark.sql.vectorized.ColumnarMap
ColumnarRow - Class in org.apache.spark.sql.vectorized: Row abstraction in ColumnVector.
ColumnarRow(ColumnVector, int) - Constructor for class org.apache.spark.sql.vectorized.ColumnarRow
columnarSupportMode() - Method in interface org.apache.spark.sql.connector.read.Scan: Subclasses can implement this method to indicate if the support for columnar data should be determined by each partition or is set as a default for the whole scan.
columnComments() - Method in interface org.apache.spark.sql.connector.catalog.View: The view column comments.
columnComments() - Method in class org.apache.spark.sql.connector.catalog.ViewInfo
ColumnDefaultValue - Class in org.apache.spark.sql.connector.catalog: A class representing the default value of a column.
ColumnDefaultValue(String, Expression, Literal<?>) - Constructor for class org.apache.spark.sql.connector.catalog.ColumnDefaultValue
ColumnDefaultValue(String, Literal<?>) - Constructor for class org.apache.spark.sql.connector.catalog.ColumnDefaultValue
ColumnDefaultValue(Expression, Literal<?>) - Constructor for class org.apache.spark.sql.connector.catalog.ColumnDefaultValue
columnName() - Method in interface org.apache.spark.sql.connector.read.VariantExtraction: Returns the path to the variant column.
ColumnName - Class in org.apache.spark.sql: A convenient class used for constructing schema.
ColumnName(String) - Constructor for class org.apache.spark.sql.ColumnName
columnNames() - Method in class org.apache.spark.sql.connector.expressions.ClusterByTransform
ColumnPath$() - Constructor for class org.apache.spark.sql.util.SchemaUtils.ColumnPath$
columnProperties() - Method in class org.apache.spark.sql.connector.catalog.index.TableIndex
ColumnPruner - Class in org.apache.spark.ml.feature: Utility transformer for removing temporary columns from a DataFrame.
ColumnPruner(String, Set<String>) - Constructor for class org.apache.spark.ml.feature.ColumnPruner
ColumnPruner(Set<String>) - Constructor for class org.apache.spark.ml.feature.ColumnPruner
ColumnPruner.Data$ - Class in org.apache.spark.ml.feature
columns() - Method in class org.apache.spark.sql.connector.catalog.constraints.ForeignKey: Returns the referencing columns.
columns() - Method in class org.apache.spark.sql.connector.catalog.constraints.PrimaryKey: Returns the columns that comprise the primary key.
columns() - Method in class org.apache.spark.sql.connector.catalog.constraints.Unique: Returns the columns that comprise the unique key.
columns() - Method in class org.apache.spark.sql.connector.catalog.index.TableIndex
columns() - Method in interface org.apache.spark.sql.connector.catalog.Table: Returns the columns of this table.
columns() - Method in class org.apache.spark.sql.connector.catalog.TableInfo
columns() - Method in class org.apache.spark.sql.Dataset: Returns all column names as an array.
columnSchema() - Static method in class org.apache.spark.ml.image.ImageSchema: Schema for the image column: Row(String, Int, Int, Int, Int, Array[Byte])
ColumnsHelper(Column[]) - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.ColumnsHelper
columnSimilarities() - Method in class org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix: Compute all cosine similarities between columns of this matrix using the brute-force approach of computing normalized dot products.
columnSimilarities() - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Compute all cosine similarities between columns of this matrix using the brute-force approach of computing normalized dot products.
columnSimilarities(double) - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Compute similarities between columns of this matrix using a sampling approach.
ColumnStatistics - Interface in org.apache.spark.sql.connector.read.colstats: An interface to represent column statistics, which is part of Statistics.
columnStats() - Method in interface org.apache.spark.sql.connector.read.Statistics
columnsToPrune() - Method in class org.apache.spark.ml.feature.ColumnPruner
columnToOldVector(Dataset<?>, String) - Static method in class org.apache.spark.ml.util.DatasetUtils
columnToVector(Dataset<?>, String) - Static method in class org.apache.spark.ml.util.DatasetUtils: Cast a column in a Dataset to Vector type.
ColumnVector - Class in org.apache.spark.sql.vectorized: An interface representing in-memory columnar data in Spark.
ColumnWithAlias(String, String) - Constructor for record class org.apache.spark.sql.connector.read.SupportsPushDownJoin.ColumnWithAlias: Creates an instance of a ColumnWithAlias record class.
combineByKey(Function<V, C>, Function2<C, V, C>, Function2<C, C, C>) - Method in class org.apache.spark.api.java.JavaPairRDD: Simplified version of combineByKey that hash-partitions the resulting RDD using the existing partitioner/parallelism level and using map-side aggregation.
combineByKey(Function<V, C>, Function2<C, V, C>, Function2<C, C, C>, int) - Method in class org.apache.spark.api.java.JavaPairRDD: Simplified version of combineByKey that hash-partitions the output RDD and uses map-side aggregation.
combineByKey(Function<V, C>, Function2<C, V, C>, Function2<C, C, C>, Partitioner) - Method in class org.apache.spark.api.java.JavaPairRDD: Generic function to combine the elements for each key using a custom set of aggregation functions.
combineByKey(Function<V, C>, Function2<C, V, C>, Function2<C, C, C>, Partitioner) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Combine elements of each key in DStream's RDDs using custom function.
combineByKey(Function<V, C>, Function2<C, V, C>, Function2<C, C, C>, Partitioner, boolean) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Combine elements of each key in DStream's RDDs using custom function.
combineByKey(Function<V, C>, Function2<C, V, C>, Function2<C, C, C>, Partitioner, boolean, Serializer) - Method in class org.apache.spark.api.java.JavaPairRDD: Generic function to combine the elements for each key using a custom set of aggregation functions.
combineByKey(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Simplified version of combineByKeyWithClassTag that hash-partitions the resulting RDD using the existing partitioner/parallelism level.
combineByKey(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>, int) - Method in class org.apache.spark.rdd.PairRDDFunctions: Simplified version of combineByKeyWithClassTag that hash-partitions the output RDD.
combineByKey(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>, Partitioner, boolean, Serializer) - Method in class org.apache.spark.rdd.PairRDDFunctions: Generic function to combine the elements for each key using a custom set of aggregation functions.
combineByKey(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>, Partitioner, boolean, ClassTag<C>) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Combine elements of each key in DStream's RDDs using custom functions.
combineByKeyWithClassTag(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>, int, ClassTag<C>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Simplified version of combineByKeyWithClassTag that hash-partitions the output RDD.
combineByKeyWithClassTag(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>, Partitioner, boolean, Serializer, ClassTag<C>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Generic function to combine the elements for each key using a custom set of aggregation functions.
combineByKeyWithClassTag(Function1<V, C>, Function2<C, V, C>, Function2<C, C, C>, ClassTag<C>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Simplified version of combineByKeyWithClassTag that hash-partitions the resulting RDD using the existing partitioner/parallelism level.
combineCombinersByKey(Iterator<Product2<K, C>>, TaskContext) - Method in class org.apache.spark.Aggregator
combineValuesByKey(Iterator<Product2<K, V>>, TaskContext) - Method in class org.apache.spark.Aggregator
command() - Method in interface org.apache.spark.sql.connector.write.RowLevelOperation: Returns the SQL command that is being performed.
command() - Method in interface org.apache.spark.sql.connector.write.RowLevelOperationInfo: Returns the row-level SQL command (e.g.
CommandLineLoggingUtils - Interface in org.apache.spark.util
CommandLineUtils - Interface in org.apache.spark.util: Contains basic command line parsing functionality and methods to parse some common Spark CLI options.
comment() - Method in interface org.apache.spark.sql.connector.catalog.Column: Returns the comment of this table column.
comment() - Method in interface org.apache.spark.sql.connector.catalog.MetadataColumn: Documentation for this metadata column, or null.
comment() - Method in interface org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter: Returns the comment of this parameter or null if not provided.
comment() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddColumn
comment(String) - Method in class org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter.Builder: Sets the comment of the parameter.
commit() - Method in interface org.apache.spark.sql.connector.write.DataWriter: Commits this writer after all records are written successfully, returns a commit message which will be sent back to driver side and passed to BatchWrite.commit(WriterCommitMessage[]).
commit(long, WriterCommitMessage[]) - Method in interface org.apache.spark.sql.connector.write.streaming.StreamingWrite: Commits this writing job for the specified epoch with a list of commit messages.
commit(Offset) - Method in interface org.apache.spark.sql.connector.read.streaming.SparkDataStream: Informs the source that Spark has completed processing all data for offsets less than or equal to `end` and will only request offsets greater than `end` in the future.
commit(WriterCommitMessage[]) - Method in interface org.apache.spark.sql.connector.write.BatchWrite: Commits this writing job with a list of commit messages.
commit(WriterCommitMessage[], WriteSummary) - Method in interface org.apache.spark.sql.connector.write.BatchWrite: Commits this writing job with a list of commit messages and write summary.
commit(Function0<Parsers.Parser<T>>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
COMMIT_TIME_MS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
commitAllPartitions(long[]) - Method in interface org.apache.spark.shuffle.api.ShuffleMapOutputWriter: Commits the writes done by all partition writers returned by all calls to this object's ShuffleMapOutputWriter.getPartitionWriter(int), and returns the number of bytes written for each partition.
commitStagedChanges() - Method in interface org.apache.spark.sql.connector.catalog.StagedTable: Finalize the creation or replacement of this table.
commitTask(OutputCommitter, TaskAttemptContext, int, int) - Static method in class org.apache.spark.mapred.SparkHadoopMapRedUtil: Commits a task output.
commitTimeMs() - Method in class org.apache.spark.sql.streaming.StateOperatorProgress
commonHeaderNodes(HttpServletRequest) - Static method in class org.apache.spark.ui.UIUtils
comparator(Schedulable, Schedulable) - Method in interface org.apache.spark.scheduler.SchedulingAlgorithm
compare(byte, byte) - Static method in class org.apache.spark.sql.types.ByteExactNumeric
compare(double, double) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
compare(double, double) - Method in class org.apache.spark.sql.types.DoubleType.DoubleAsIfIntegral$
compare(float, float) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
compare(float, float) - Method in class org.apache.spark.sql.types.FloatType.FloatAsIfIntegral$
compare(int, int) - Static method in class org.apache.spark.sql.types.IntegerExactNumeric
compare(long, long) - Static method in class org.apache.spark.sql.types.LongExactNumeric
compare(short, short) - Static method in class org.apache.spark.sql.types.ShortExactNumeric
compare(PartitionGroup, PartitionGroup) - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer.partitionGroupOrdering$
compare(Decimal) - Method in class org.apache.spark.sql.types.Decimal
compare(Decimal, Decimal) - Method in interface org.apache.spark.sql.types.Decimal.DecimalIsConflicted
compare(Decimal, Decimal) - Static method in class org.apache.spark.sql.types.DecimalExactNumeric
compare(RDDInfo) - Method in class org.apache.spark.storage.RDDInfo
compareTo(NumericHistogram.Coord) - Method in class org.apache.spark.sql.util.NumericHistogram.Coord
compareTo(CalendarInterval) - Method in class org.apache.spark.unsafe.types.CalendarInterval: This method is not used to order CalendarInterval instances, as they are not orderable and cannot be used in a ORDER BY statement.
compareTo(SparkShutdownHook) - Method in class org.apache.spark.util.SparkShutdownHook
compileAggregate(AggregateFunc) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Deprecated.
use org.apache.spark.sql.jdbc.JdbcDialect.compileExpression instead. Since 3.4.0.
compileAggregate(AggregateFunc) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
compileExpression(Expression) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
compileExpression(Expression) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Converts V2 expression to String representing a SQL expression.
compileExpression(Expression) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
compileExpression(Expression) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
compileExpression(Expression) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
compileExpression(Expression) - Method in class org.apache.spark.sql.jdbc.OracleDialect
compileExpression(Expression) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
compileValue(Object) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
compileValue(Object) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Converts value to SQL expression.
compileValue(Object) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
compileValue(Object) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
compileValue(Object) - Method in class org.apache.spark.sql.jdbc.OracleDialect
compileValue(Object) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
Complete() - Static method in class org.apache.spark.sql.streaming.OutputMode: OutputMode in which all the rows in the streaming DataFrame/Dataset will be written to the sink every time there are some updates.
COMPLETE - Enum constant in enum class org.apache.spark.status.api.v1.StageStatus
completed() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
COMPLETED - Enum constant in enum class org.apache.spark.status.api.v1.ApplicationStatus
COMPLETED - Enum constant in enum class org.apache.spark.status.api.v1.streaming.BatchStatus
COMPLETED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
COMPLETED_TASKS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
completedIndices() - Method in class org.apache.spark.status.LiveJob
completedIndices() - Method in class org.apache.spark.status.LiveStage
completedStages() - Method in class org.apache.spark.status.LiveJob
completedTasks() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
completedTasks() - Method in class org.apache.spark.status.LiveJob
completedTasks() - Method in class org.apache.spark.status.LiveStage
COMPLETION_TIME() - Static method in class org.apache.spark.status.TaskIndexNames
COMPLETION_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.JobData
COMPLETION_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
COMPLETION_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
completionTime() - Method in class org.apache.spark.scheduler.StageInfo: Time when the stage completed or when the stage was cancelled.
completionTime() - Method in class org.apache.spark.status.api.v1.JobData
completionTime() - Method in class org.apache.spark.status.api.v1.StageData
completionTime() - Method in class org.apache.spark.status.LiveJob
ComplexFutureAction<T> - Class in org.apache.spark: A FutureAction for actions that could trigger multiple Spark jobs.
ComplexFutureAction(Function1<JobSubmitter, Future<T>>) - Constructor for class org.apache.spark.ComplexFutureAction
componentName() - Method in class org.apache.spark.resource.ResourceID
compositeLimit(ReadLimit[]) - Static method in interface org.apache.spark.sql.connector.read.streaming.ReadLimit
CompositeReadLimit - Class in org.apache.spark.sql.connector.read.streaming: /** Represents a ReadLimit where the MicroBatchStream should scan approximately given maximum number of rows with at least the given minimum number of rows.
compressed() - Method in interface org.apache.spark.ml.linalg.Matrix: Returns a matrix in dense column major, dense row major, sparse row major, or sparse column major format, whichever uses less storage.
compressed() - Method in interface org.apache.spark.ml.linalg.Vector: Returns a vector in either dense or sparse format, whichever uses less storage.
compressed() - Method in interface org.apache.spark.mllib.linalg.Vector: Returns a vector in either dense or sparse format, whichever uses less storage.
compressedColMajor() - Method in interface org.apache.spark.ml.linalg.Matrix: Returns a matrix in dense or sparse column major format, whichever uses less storage.
compressedContinuousInputStream(InputStream) - Method in interface org.apache.spark.io.CompressionCodec
compressedContinuousInputStream(InputStream) - Method in class org.apache.spark.io.ZStdCompressionCodec
compressedContinuousOutputStream(OutputStream) - Method in interface org.apache.spark.io.CompressionCodec
compressedInputStream(InputStream) - Method in interface org.apache.spark.io.CompressionCodec
compressedInputStream(InputStream) - Method in class org.apache.spark.io.LZ4CompressionCodec
compressedInputStream(InputStream) - Method in class org.apache.spark.io.LZFCompressionCodec
compressedInputStream(InputStream) - Method in class org.apache.spark.io.SnappyCompressionCodec
compressedInputStream(InputStream) - Method in class org.apache.spark.io.ZStdCompressionCodec
compressedOutputStream(OutputStream) - Method in interface org.apache.spark.io.CompressionCodec
compressedOutputStream(OutputStream) - Method in class org.apache.spark.io.LZ4CompressionCodec
compressedOutputStream(OutputStream) - Method in class org.apache.spark.io.LZFCompressionCodec
compressedOutputStream(OutputStream) - Method in class org.apache.spark.io.SnappyCompressionCodec
compressedOutputStream(OutputStream) - Method in class org.apache.spark.io.ZStdCompressionCodec
compressedRowMajor() - Method in interface org.apache.spark.ml.linalg.Matrix: Returns a matrix in dense or sparse row major format, whichever uses less storage.
compressedWithNNZ(int) - Method in interface org.apache.spark.ml.linalg.Vector
CompressionCodec - Interface in org.apache.spark.io: :: DeveloperApi :: CompressionCodec allows the customization of choosing different compression implementations to be used in block storage.
compressSparse(int[], double[], int[]) - Static method in class org.apache.spark.ml.feature.ChiSqSelectorModel
compute(long, long, long, long) - Method in interface org.apache.spark.streaming.scheduler.rate.RateEstimator: Computes the number of records the stream attached to this RateEstimator should ingest per second, given an update on the size and completion times of the latest batch.
compute(Vector, double, Vector) - Method in class org.apache.spark.mllib.optimization.Gradient: Compute the gradient and loss given the features of a single data point.
compute(Vector, double, Vector) - Method in class org.apache.spark.mllib.optimization.HingeGradient
compute(Vector, double, Vector) - Method in class org.apache.spark.mllib.optimization.LeastSquaresGradient
compute(Vector, double, Vector, Vector) - Method in class org.apache.spark.mllib.optimization.Gradient: Compute the gradient and loss given the features of a single data point, add the gradient to a provided vector to avoid creating new objects, and return loss.
compute(Vector, double, Vector, Vector) - Method in class org.apache.spark.mllib.optimization.HingeGradient
compute(Vector, double, Vector, Vector) - Method in class org.apache.spark.mllib.optimization.LeastSquaresGradient
compute(Vector, double, Vector, Vector) - Method in class org.apache.spark.mllib.optimization.LogisticGradient
compute(Vector, Vector, double, int, double) - Method in class org.apache.spark.mllib.optimization.L1Updater
compute(Vector, Vector, double, int, double) - Method in class org.apache.spark.mllib.optimization.SimpleUpdater
compute(Vector, Vector, double, int, double) - Method in class org.apache.spark.mllib.optimization.SquaredL2Updater
compute(Vector, Vector, double, int, double) - Method in class org.apache.spark.mllib.optimization.Updater: Compute an updated value for weights given the gradient, stepSize, iteration number and regularization parameter.
compute(Partition, TaskContext) - Method in class org.apache.spark.api.r.BaseRRDD
compute(Partition, TaskContext) - Method in class org.apache.spark.graphx.EdgeRDD
compute(Partition, TaskContext) - Method in class org.apache.spark.graphx.VertexRDD: Provides the RDD[(VertexId, VD)] equivalent output.
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.CoGroupedRDD
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.HadoopRDD
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.JdbcRDD: Deprecated.
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.NewHadoopRDD
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.PartitionPruningRDD
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.RDD: :: DeveloperApi :: Implemented by subclasses to compute a given partition.
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.ShuffledRDD
compute(Partition, TaskContext) - Method in class org.apache.spark.rdd.UnionRDD
compute(Time) - Method in class org.apache.spark.streaming.api.java.JavaDStream: Generate an RDD for the given duration
compute(Time) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Method that generates an RDD for the given Duration
compute(Time) - Method in class org.apache.spark.streaming.dstream.ConstantInputDStream
compute(Time) - Method in class org.apache.spark.streaming.dstream.DStream: Method that generates an RDD for the given time
compute(Time) - Method in class org.apache.spark.streaming.dstream.ReceiverInputDStream
computeClusterStats(Dataset<Row>, String, String, String) - Static method in class org.apache.spark.ml.evaluation.CosineSilhouette: The method takes the input dataset and computes the aggregated values about a cluster which are needed by the algorithm.
computeClusterStats(Dataset<Row>, String, String, String) - Static method in class org.apache.spark.ml.evaluation.SquaredEuclideanSilhouette: The method takes the input dataset and computes the aggregated values about a cluster which are needed by the algorithm.
computeColumnSummaryStatistics() - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Computes column-wise summary statistics.
computeCorrelation(RDD<Object>, RDD<Object>) - Method in interface org.apache.spark.mllib.stat.correlation.Correlation: Compute correlation for two datasets.
computeCorrelation(RDD<Object>, RDD<Object>) - Static method in class org.apache.spark.mllib.stat.correlation.PearsonCorrelation: Compute the Pearson correlation for two datasets.
computeCorrelation(RDD<Object>, RDD<Object>) - Static method in class org.apache.spark.mllib.stat.correlation.SpearmanCorrelation: Compute Spearman's correlation for two datasets.
computeCorrelationMatrix(RDD<Vector>) - Method in interface org.apache.spark.mllib.stat.correlation.Correlation: Compute the correlation matrix S, for the input matrix, where S(i, j) is the correlation between column i and j.
computeCorrelationMatrix(RDD<Vector>) - Static method in class org.apache.spark.mllib.stat.correlation.PearsonCorrelation: Compute the Pearson correlation matrix S, for the input matrix, where S(i, j) is the correlation between column i and j.
computeCorrelationMatrix(RDD<Vector>) - Static method in class org.apache.spark.mllib.stat.correlation.SpearmanCorrelation: Compute Spearman's correlation matrix S, for the input matrix, where S(i, j) is the correlation between column i and j.
computeCorrelationMatrixFromCovariance(Matrix) - Static method in class org.apache.spark.mllib.stat.correlation.PearsonCorrelation: Compute the Pearson correlation matrix from the covariance matrix.
computeCorrelationWithMatrixImpl(RDD<Object>, RDD<Object>) - Method in interface org.apache.spark.mllib.stat.correlation.Correlation: Combine the two input RDD[Double]s into an RDD[Vector] and compute the correlation using the correlation implementation for RDD[Vector].
computeCorrelationWithMatrixImpl(RDD<Object>, RDD<Object>) - Static method in class org.apache.spark.mllib.stat.correlation.PearsonCorrelation
computeCorrelationWithMatrixImpl(RDD<Object>, RDD<Object>) - Static method in class org.apache.spark.mllib.stat.correlation.SpearmanCorrelation
computeCost(JavaRDD<Vector>) - Method in class org.apache.spark.mllib.clustering.BisectingKMeansModel: Java-friendly version of computeCost().
computeCost(Vector) - Method in class org.apache.spark.mllib.clustering.BisectingKMeansModel: Computes the squared distance between the input point and the cluster center it belongs to.
computeCost(RDD<Vector>) - Method in class org.apache.spark.mllib.clustering.BisectingKMeansModel: Computes the sum of squared distances between the input points and their corresponding cluster centers.
computeCost(RDD<Vector>) - Method in class org.apache.spark.mllib.clustering.KMeansModel: Return the K-means cost (sum of squared distances of points to their nearest center) for this model on the given data.
computeCost(Dataset<?>) - Method in class org.apache.spark.ml.clustering.BisectingKMeansModel: Deprecated.
This method is deprecated and will be removed in future versions. Use ClusteringEvaluator instead. You can also get the cost on the training dataset in the summary.
computeCovariance() - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Computes the covariance matrix, treating each row as an observation.
computeError(double, double) - Method in interface org.apache.spark.mllib.tree.loss.Loss: Method to calculate loss when the predictions are already known.
computeError(org.apache.spark.mllib.tree.model.TreeEnsembleModel, RDD<LabeledPoint>) - Method in interface org.apache.spark.mllib.tree.loss.Loss: Method to calculate error of the base learner for the gradient boosting calculation.
computeFractionForSampleSize(int, long, boolean) - Static method in class org.apache.spark.util.random.SamplingUtils: Returns a sampling rate that guarantees a sample of size greater than or equal to sampleSizeLowerBound 99.99% of the time.
computeGradient(DenseMatrix<Object>, DenseMatrix<Object>, Vector, int) - Method in interface org.apache.spark.ml.ann.TopologyModel: Computes gradient for the network
computeGramianMatrix() - Method in class org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix: Computes the Gramian matrix A^T A.
computeGramianMatrix() - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Computes the Gramian matrix A^T A.
computeInitialPredictionAndError(RDD<TreePoint>, double, DecisionTreeRegressionModel, Loss, Broadcast<Split[][]>) - Static method in class org.apache.spark.ml.tree.impl.GradientBoostedTrees: Compute the initial predictions and errors for a dataset for the first iteration of gradient boosting.
computeInitialPredictionAndError(RDD<LabeledPoint>, double, DecisionTreeModel, Loss) - Static method in class org.apache.spark.mllib.tree.model.GradientBoostedTreesModel: Compute the initial predictions and errors for a dataset for the first iteration of gradient boosting.
computePreferredLocations(Seq<InputFormatInfo>) - Static method in class org.apache.spark.scheduler.InputFormatInfo: Computes the preferred locations based on input(s) and returned a location to block map.
computePrevDelta(DenseMatrix<Object>, DenseMatrix<Object>, DenseMatrix<Object>) - Method in interface org.apache.spark.ml.ann.LayerModel: Computes the delta for back propagation.
computePrincipalComponents(int) - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Computes the top k principal components only.
computePrincipalComponentsAndExplainedVariance(int) - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Computes the top k principal components and a vector of proportions of variance explained by each principal component.
computeProbability(double) - Method in interface org.apache.spark.mllib.tree.loss.ClassificationLoss: Computes the class probability given the margin.
computeSilhouetteCoefficient(Broadcast<Map<Object, SquaredEuclideanSilhouette.ClusterStats>>, Vector, double, double, double) - Static method in class org.apache.spark.ml.evaluation.SquaredEuclideanSilhouette: It computes the Silhouette coefficient for a point.
computeSilhouetteCoefficient(Broadcast<Map<Object, Tuple2<Vector, Object>>>, Vector, double, double) - Static method in class org.apache.spark.ml.evaluation.CosineSilhouette: It computes the Silhouette coefficient for a point.
computeSilhouetteScore(Dataset<?>, String, String, String) - Static method in class org.apache.spark.ml.evaluation.CosineSilhouette: Compute the Silhouette score of the dataset using the cosine distance measure.
computeSilhouetteScore(Dataset<?>, String, String, String) - Static method in class org.apache.spark.ml.evaluation.SquaredEuclideanSilhouette: Compute the Silhouette score of the dataset using squared Euclidean distance measure.
computeSVD(int, boolean, double) - Method in class org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix: Computes the singular value decomposition of this IndexedRowMatrix.
computeSVD(int, boolean, double) - Method in class org.apache.spark.mllib.linalg.distributed.RowMatrix: Computes singular value decomposition of this matrix.
computeThresholdByKey(Map<K, AcceptanceResult>, Map<K, Object>) - Static method in class org.apache.spark.util.random.StratifiedSamplingUtils: Given the result returned by getCounts, determine the threshold for accepting items to generate exact sample size.
computeWeightedError(RDD<org.apache.spark.ml.feature.Instance>, DecisionTreeRegressionModel[], double[], Loss) - Static method in class org.apache.spark.ml.tree.impl.GradientBoostedTrees: Method to calculate error of the base learner for the gradient boosting calculation.
computeWeightedError(RDD<TreePoint>, RDD<Tuple2<Object, Object>>) - Static method in class org.apache.spark.ml.tree.impl.GradientBoostedTrees: Method to calculate error of the base learner for the gradient boosting calculation.
concat(Column...) - Static method in class org.apache.spark.sql.functions: Concatenates multiple input columns together into a single column.
concat(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Concatenates multiple input columns together into a single column.
concat_ws(String, Column...) - Static method in class org.apache.spark.sql.functions: Concatenates multiple input string columns together into a single string column, using the given separator.
concat_ws(String, Seq<Column>) - Static method in class org.apache.spark.sql.functions: Concatenates multiple input string columns together into a single string column, using the given separator.
condition() - Method in class org.apache.spark.sql.WhenMatched
condition() - Method in class org.apache.spark.sql.WhenNotMatched
condition() - Method in class org.apache.spark.sql.WhenNotMatchedBySource
conf() - Method in interface org.apache.spark.api.plugin.PluginContext: Configuration of the Spark application.
conf() - Method in class org.apache.spark.SparkEnv
conf() - Static method in class org.apache.spark.sql.connector.catalog.V2TableUtil
conf() - Method in class org.apache.spark.sql.SparkSession: Runtime configuration interface for Spark.
Conf(int, int, double, double, double, double, double, double) - Constructor for class org.apache.spark.graphx.lib.SVDPlusPlus.Conf
confidence() - Method in class org.apache.spark.mllib.fpm.AssociationRules.Rule: Returns the confidence of the rule.
confidence() - Method in class org.apache.spark.partial.BoundedDouble
confidence() - Method in class org.apache.spark.util.sketch.CountMinSketch: Returns the confidence (or delta) of this CountMinSketch.
config(String, boolean) - Method in class org.apache.spark.sql.SparkSession.Builder
config(String, double) - Method in class org.apache.spark.sql.SparkSession.Builder
config(String, long) - Method in class org.apache.spark.sql.SparkSession.Builder
config(String, String) - Method in class org.apache.spark.sql.SparkSession.Builder
config(Map<String, Object>) - Method in class org.apache.spark.sql.SparkSession.Builder
config(SparkConf) - Method in class org.apache.spark.sql.SparkSession.Builder
config(Map<String, Object>) - Method in class org.apache.spark.sql.SparkSession.Builder
configTestLog4j2(String) - Static method in class org.apache.spark.TestUtils: config a log4j2 properties used for testsuite
Configurable - Interface in org.apache.spark.input: A trait to implement Configurable interface.
configuration() - Method in class org.apache.spark.scheduler.InputFormatInfo
CONFIGURATION_INSTANTIATION_LOCK() - Static method in class org.apache.spark.rdd.HadoopRDD: Configuration's constructor is not threadsafe (see SPARK-1097 and HADOOP-10456).
CONFIGURATION_INSTANTIATION_LOCK() - Static method in class org.apache.spark.rdd.NewHadoopRDD: Configuration's constructor is not threadsafe (see SPARK-1097 and HADOOP-10456).
confusionMatrix() - Method in class org.apache.spark.mllib.evaluation.MulticlassMetrics: Returns confusion matrix: predicted classes are in columns, they are ordered by class label ascending, as in "labels"
connect() - Method in class org.apache.spark.sql.SparkSession.Builder: Make the builder create a Connect SparkSession.
CONNECT_EXECUTE_THREAD_PREFIX() - Static method in class org.apache.spark.util.Utils
CONNECT_REMOTE_KEY() - Static method in class org.apache.spark.sql.SparkSession.Builder
CONNECTED - Enum constant in enum class org.apache.spark.launcher.SparkAppHandle.State: The application has connected to the handle.
connectedComponents() - Method in class org.apache.spark.graphx.GraphOps: Compute the connected component membership of each vertex and return a graph with the vertex value containing the lowest vertex id in the connected component containing that vertex.
connectedComponents(int) - Method in class org.apache.spark.graphx.GraphOps: Compute the connected component membership of each vertex and return a graph with the vertex value containing the lowest vertex id in the connected component containing that vertex.
ConnectedComponents - Class in org.apache.spark.graphx.lib: Connected components algorithm.
ConnectedComponents() - Constructor for class org.apache.spark.graphx.lib.ConnectedComponents
consequent() - Method in class org.apache.spark.mllib.fpm.AssociationRules.Rule
ConstantInputDStream<T> - Class in org.apache.spark.streaming.dstream: An input stream that always returns the same RDD on each time step.
ConstantInputDStream(StreamingContext, RDD<T>, ClassTag<T>) - Constructor for class org.apache.spark.streaming.dstream.ConstantInputDStream
constraint() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddConstraint
constraint() - Static method in class org.apache.spark.sql.types.IndeterminateStringType
constraint() - Method in class org.apache.spark.sql.types.StringType
Constraint - Interface in org.apache.spark.sql.connector.catalog.constraints: A constraint that restricts states of data in a table.
Constraint.ValidationStatus - Enum Class in org.apache.spark.sql.connector.catalog.constraints: An indicator of the validity of the constraint.
constraints() - Method in interface org.apache.spark.sql.connector.catalog.Table: Returns the constraints for this table.
constraints() - Method in class org.apache.spark.sql.connector.catalog.TableInfo
constructMessageParams(Map<String, String>) - Static method in exception org.apache.spark.SparkException: Utility method to construct message params from Java Map.
constructTree(org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0.NodeData[]) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$: Given a list of nodes from a tree, construct the tree.
constructTrees(RDD<org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0.NodeData>) - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$
contains(Object) - Method in class org.apache.spark.sql.Column: Contains the other element.
contains(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Does the configuration contain a given parameter?
contains(String) - Method in class org.apache.spark.SparkConf: Does the configuration contain a given parameter?
contains(String) - Method in class org.apache.spark.sql.types.Metadata: Tests whether this Metadata contains a binding for a key.
contains(ConfigEntry<?>) - Method in interface org.apache.spark.ReadOnlySparkConf: Does the configuration have the typed config entry?
contains(Param<?>) - Method in class org.apache.spark.ml.param.ParamMap: Checks whether a parameter is explicitly specified.
contains(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a boolean.
contains(T) - Method in class org.apache.spark.sql.util.SQLOpenHashSet
containsAttributes(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> attributes = 27;
containsAttributes(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> attributes = 27;
containsAttributes(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> attributes = 27;
containsCustomMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: map<string, int64> custom_metrics = 12;
containsCustomMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: map<string, int64> custom_metrics = 12;
containsCustomMetrics(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: map<string, int64> custom_metrics = 12;
containsDurationMs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, int64> duration_ms = 7;
containsDurationMs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, int64> duration_ms = 7;
containsDurationMs(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, int64> duration_ms = 7;
containsEventTime(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> event_time = 8;
containsEventTime(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> event_time = 8;
containsEventTime(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> event_time = 8;
containsExecutorLogs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> executor_logs = 23;
containsExecutorLogs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> executor_logs = 23;
containsExecutorLogs(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> executor_logs = 23;
containsExecutorLogs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: map<string, string> executor_logs = 16;
containsExecutorLogs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: map<string, string> executor_logs = 16;
containsExecutorLogs(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: map<string, string> executor_logs = 16;
containsExecutorResources(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
containsExecutorResources(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
containsExecutorResources(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
containsExecutorSummary(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
containsExecutorSummary(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
containsExecutorSummary(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
containsJobs(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
containsJobs(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
containsJobs(long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
containsKey(Object) - Method in class org.apache.spark.api.java.JavaUtils.SerializableMapWrapper
containsKey(Object) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
containsKey(K) - Method in interface org.apache.spark.sql.streaming.MapState: Function to check if the user map key is contained in the map for the current grouping key.
containsKilledTasksSummary(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, int32> killed_tasks_summary = 48;
containsKilledTasksSummary(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, int32> killed_tasks_summary = 48;
containsKilledTasksSummary(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, int32> killed_tasks_summary = 48;
containsKillTasksSummary(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: map<string, int32> kill_tasks_summary = 20;
containsKillTasksSummary(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: map<string, int32> kill_tasks_summary = 20;
containsKillTasksSummary(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: map<string, int32> kill_tasks_summary = 20;
containsLocality(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: map<string, int64> locality = 3;
containsLocality(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: map<string, int64> locality = 3;
containsLocality(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: map<string, int64> locality = 3;
containsMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder: map<string, int64> metrics = 1;
containsMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics: map<string, int64> metrics = 1;
containsMetrics(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsOrBuilder: map<string, int64> metrics = 1;
containsMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: map<string, string> metrics = 3;
containsMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: map<string, string> metrics = 3;
containsMetrics(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: map<string, string> metrics = 3;
containsMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: map<string, string> metrics = 8;
containsMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: map<string, string> metrics = 8;
containsMetrics(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: map<string, string> metrics = 8;
containsMetricValues(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, string> metric_values = 14;
containsMetricValues(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, string> metric_values = 14;
containsMetricValues(long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, string> metric_values = 14;
containsModifiedConfigs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<string, string> modified_configs = 6;
containsModifiedConfigs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<string, string> modified_configs = 6;
containsModifiedConfigs(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<string, string> modified_configs = 6;
containsNaN() - Method in class org.apache.spark.sql.util.SQLOpenHashSet
containsNull() - Method in class org.apache.spark.sql.types.ArrayType
containsNull() - Method in class org.apache.spark.sql.util.SQLOpenHashSet
containsObservedMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> observed_metrics = 12;
containsObservedMetrics(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> observed_metrics = 12;
containsObservedMetrics(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> observed_metrics = 12;
containsProcessLogs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: map<string, string> process_logs = 7;
containsProcessLogs(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: map<string, string> process_logs = 7;
containsProcessLogs(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: map<string, string> process_logs = 7;
containsResources(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
containsResources(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
containsResources(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
containsTaskResources(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
containsTaskResources(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
containsTaskResources(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
containsTasks(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
containsTasks(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
containsTasks(long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
containsValue(Object) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
contentEquals(File, File) - Method in interface org.apache.spark.util.SparkFileUtils: Return true if the content of the files are equal or they both don't exist
contentEquals(File, File) - Static method in class org.apache.spark.util.Utils
contentType() - Method in class org.apache.spark.ui.JettyUtils.ServletParams
context() - Method in interface org.apache.spark.api.java.JavaRDDLike: The SparkContext that this RDD was created on.
context() - Method in class org.apache.spark.ContextAwareIterator: Deprecated.
context() - Method in class org.apache.spark.InterruptibleIterator
context() - Method in class org.apache.spark.rdd.RDD: The SparkContext that this RDD was created on.
context() - Method in exception org.apache.spark.sql.AnalysisException
context() - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return the StreamingContext associated with this DStream
context() - Method in class org.apache.spark.streaming.dstream.DStream: Return the StreamingContext associated with this DStream
ContextAwareIterator<T> - Class in org.apache.spark: Deprecated.
since 4.0.0 as its only usage for Python evaluation is now extinct
ContextAwareIterator(TaskContext, Iterator<T>) - Constructor for class org.apache.spark.ContextAwareIterator: Deprecated.
ContextBarrierId - Class in org.apache.spark: For each barrier stage attempt, only at most one barrier() call can be active at any time, thus we can use (stageId, stageAttemptId) to identify the stage attempt where the barrier() call is from.
ContextBarrierId(int, int) - Constructor for class org.apache.spark.ContextBarrierId
contextType() - Method in interface org.apache.spark.QueryContext
Continuous() - Static method in class org.apache.spark.mllib.tree.configuration.FeatureType
Continuous(long) - Static method in class org.apache.spark.sql.streaming.Trigger: A trigger that continuously processes streaming data, asynchronously checkpointing at the specified interval.
Continuous(long, TimeUnit) - Static method in class org.apache.spark.sql.streaming.Trigger: A trigger that continuously processes streaming data, asynchronously checkpointing at the specified interval.
Continuous(String) - Static method in class org.apache.spark.sql.streaming.Trigger: A trigger that continuously processes streaming data, asynchronously checkpointing at the specified interval.
Continuous(Duration) - Static method in class org.apache.spark.sql.streaming.Trigger: (Scala-friendly) A trigger that continuously processes streaming data, asynchronously checkpointing at the specified interval.
CONTINUOUS_READ - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableCapability: Signals that the table supports reads in continuous streaming execution mode.
ContinuousPartitionReader<T> - Interface in org.apache.spark.sql.connector.read.streaming: A variation on PartitionReader for use with continuous streaming processing.
ContinuousPartitionReaderFactory - Interface in org.apache.spark.sql.connector.read.streaming: A variation on PartitionReaderFactory that returns ContinuousPartitionReader instead of PartitionReader.
ContinuousSplit - Class in org.apache.spark.ml.tree: Split which tests a continuous feature.
ContinuousStream - Interface in org.apache.spark.sql.connector.read.streaming: A SparkDataStream for streaming queries with continuous mode.
conv(Column, int, int) - Static method in class org.apache.spark.sql.functions: Convert a number in a string column from one base to another.
convert_timezone(Column, Column) - Static method in class org.apache.spark.sql.functions: Converts the timestamp without time zone sourceTs from the current time zone to targetTz.
convert_timezone(Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Converts the timestamp without time zone sourceTs from the sourceTz time zone to targetTz.
convertCachedBatchToColumnarBatch(RDD<CachedBatch>, Seq<Attribute>, Seq<Attribute>, SQLConf) - Method in interface org.apache.spark.sql.columnar.CachedBatchSerializer: Convert the cached data into a ColumnarBatch.
convertCachedBatchToInternalRow(RDD<CachedBatch>, Seq<Attribute>, Seq<Attribute>, SQLConf) - Method in interface org.apache.spark.sql.columnar.CachedBatchSerializer: Convert the cached batch into InternalRows.
convertColumnarBatchToCachedBatch(RDD<ColumnarBatch>, Seq<Attribute>, StorageLevel, SQLConf) - Method in interface org.apache.spark.sql.columnar.CachedBatchSerializer: Convert an RDD[ColumnarBatch] into an RDD[CachedBatch] in preparation for caching the data.
convertInternalRowToCachedBatch(RDD<InternalRow>, Seq<Attribute>, StorageLevel, SQLConf) - Method in interface org.apache.spark.sql.columnar.CachedBatchSerializer: Convert an RDD[InternalRow] into an RDD[CachedBatch] in preparation for caching the data.
convertJavaDateToDate(Date) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Converts an instance of java.sql.Date to a custom java.sql.Date value.
convertJavaDateToDate(Date) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
convertJavaDateToDate(Date) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
convertJavaTimestampToTimestamp(Timestamp) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Converts an instance of java.sql.Timestamp to a custom java.sql.Timestamp value.
convertJavaTimestampToTimestamp(Timestamp) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
convertJavaTimestampToTimestamp(Timestamp) - Method in class org.apache.spark.sql.jdbc.PostgresDialect: java.sql timestamps are measured with millisecond accuracy (from Long.MinValue milliseconds to Long.MaxValue milliseconds), while Spark timestamps are measured at microseconds accuracy.
convertJavaTimestampToTimestampNTZ(Timestamp) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Convert java.sql.Timestamp to a LocalDateTime representing the same wall-clock time as the value stored in a remote database.
convertJavaTimestampToTimestampNTZ(Timestamp) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
convertJavaTimestampToTimestampNTZ(Timestamp) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
convertMatrixColumnsFromML(Dataset<?>, String...) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts matrix columns in an input Dataset to the Matrix type from the new Matrix type under the spark.ml package.
convertMatrixColumnsFromML(Dataset<?>, Seq<String>) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts matrix columns in an input Dataset to the Matrix type from the new Matrix type under the spark.ml package.
convertMatrixColumnsToML(Dataset<?>, String...) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts Matrix columns in an input Dataset from the Matrix type to the new Matrix type under the spark.ml package.
convertMatrixColumnsToML(Dataset<?>, Seq<String>) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts Matrix columns in an input Dataset from the Matrix type to the new Matrix type under the spark.ml package.
convertTableProperties(TableSpec) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util
convertTimestampNTZToJavaTimestamp(LocalDateTime) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Converts a LocalDateTime representing a TimestampNTZ type to an instance of java.sql.Timestamp.
convertTimestampNTZToJavaTimestamp(LocalDateTime) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
convertTimestampNTZToJavaTimestamp(LocalDateTime) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
convertToCanonicalEdges(Function2<ED, ED, ED>) - Method in class org.apache.spark.graphx.GraphOps: Convert bi-directional edges into uni-directional ones.
convertToColumnarPlanIfPossible(SparkPlan) - Method in interface org.apache.spark.sql.columnar.CachedBatchSerializer: Attempt to convert a query plan to its columnar equivalence for columnar caching.
convertToOldLossType(String) - Method in interface org.apache.spark.ml.tree.GBTRegressorParams
convertToTimeUnit(long, TimeUnit) - Static method in class org.apache.spark.streaming.ui.UIUtils: Convert milliseconds to the specified unit.
convertTransforms() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.TransformHelper
convertVectorColumnsFromML(Dataset<?>, String...) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts vector columns in an input Dataset to the Vector type from the new Vector type under the spark.ml package.
convertVectorColumnsFromML(Dataset<?>, Seq<String>) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts vector columns in an input Dataset to the Vector type from the new Vector type under the spark.ml package.
convertVectorColumnsToML(Dataset<?>, String...) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts vector columns in an input Dataset from the Vector type to the new Vector type under the spark.ml package.
convertVectorColumnsToML(Dataset<?>, Seq<String>) - Static method in class org.apache.spark.mllib.util.MLUtils: Converts vector columns in an input Dataset from the Vector type to the new Vector type under the spark.ml package.
Coord() - Constructor for class org.apache.spark.sql.util.NumericHistogram.Coord
CoordinateMatrix - Class in org.apache.spark.mllib.linalg.distributed: Represents a matrix in coordinate format.
CoordinateMatrix(RDD<MatrixEntry>) - Constructor for class org.apache.spark.mllib.linalg.distributed.CoordinateMatrix: Alternative constructor leaving matrix dimensions to be determined automatically.
CoordinateMatrix(RDD<MatrixEntry>, long, long) - Constructor for class org.apache.spark.mllib.linalg.distributed.CoordinateMatrix
copy() - Method in class org.apache.spark.ml.linalg.DenseMatrix
copy() - Method in class org.apache.spark.ml.linalg.DenseVector
copy() - Method in interface org.apache.spark.ml.linalg.Matrix: Get a deep copy of the matrix.
copy() - Method in class org.apache.spark.ml.linalg.SparseMatrix
copy() - Method in class org.apache.spark.ml.linalg.SparseVector
copy() - Method in interface org.apache.spark.ml.linalg.Vector: Makes a deep copy of this vector.
copy() - Method in class org.apache.spark.ml.param.ParamMap: Creates a copy of this param map.
copy() - Method in class org.apache.spark.mllib.linalg.DenseMatrix
copy() - Method in class org.apache.spark.mllib.linalg.DenseVector
copy() - Method in interface org.apache.spark.mllib.linalg.Matrix: Get a deep copy of the matrix.
copy() - Method in class org.apache.spark.mllib.linalg.SparseMatrix
copy() - Method in class org.apache.spark.mllib.linalg.SparseVector
copy() - Method in interface org.apache.spark.mllib.linalg.Vector: Makes a deep copy of this vector.
copy() - Method in class org.apache.spark.mllib.random.ExponentialGenerator
copy() - Method in class org.apache.spark.mllib.random.GammaGenerator
copy() - Method in class org.apache.spark.mllib.random.LogNormalGenerator
copy() - Method in class org.apache.spark.mllib.random.PoissonGenerator
copy() - Method in interface org.apache.spark.mllib.random.RandomDataGenerator: Returns a copy of the RandomDataGenerator with a new instance of the rng object used in the class when applicable for non-locking concurrent usage.
copy() - Method in class org.apache.spark.mllib.random.StandardNormalGenerator
copy() - Method in class org.apache.spark.mllib.random.UniformGenerator
copy() - Method in class org.apache.spark.mllib.random.WeibullGenerator
copy() - Method in class org.apache.spark.mllib.tree.configuration.Strategy: Returns a shallow copy of this instance.
copy() - Method in interface org.apache.spark.sql.Row: Make a copy of the current Row object.
copy() - Static method in class org.apache.spark.sql.sources.AlwaysFalse
copy() - Static method in class org.apache.spark.sql.sources.AlwaysTrue
copy() - Method in class org.apache.spark.sql.util.MapperRowCounter
copy() - Method in class org.apache.spark.sql.vectorized.ColumnarArray
copy() - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
copy() - Method in class org.apache.spark.sql.vectorized.ColumnarMap
copy() - Method in class org.apache.spark.sql.vectorized.ColumnarRow: Revisit this.
copy() - Method in class org.apache.spark.util.AccumulatorV2: Creates a new copy of this accumulator.
copy() - Method in class org.apache.spark.util.CollectionAccumulator
copy() - Method in class org.apache.spark.util.DoubleAccumulator
copy() - Method in class org.apache.spark.util.LongAccumulator
copy() - Method in class org.apache.spark.util.StatCounter: Clone this StatCounter
copy(String, Option<Object>, Option<Object>, Option<Throwable>, Option<String>, Map<String, String>, QueryContext[]) - Method in exception org.apache.spark.sql.AnalysisException
copy(String, Option<Object>, Option<Object>, Option<Throwable>, Option<String>, Map<String, String>, QueryContext[], Option<String>, Option<String>) - Method in exception org.apache.spark.sql.AnalysisException
copy(Vector, Vector) - Static method in class org.apache.spark.ml.linalg.BLAS: y = x
copy(ParamMap) - Method in class org.apache.spark.ml.classification.DecisionTreeClassificationModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.DecisionTreeClassifier
copy(ParamMap) - Method in class org.apache.spark.ml.classification.FMClassificationModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.FMClassifier
copy(ParamMap) - Method in class org.apache.spark.ml.classification.GBTClassificationModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.GBTClassifier
copy(ParamMap) - Method in class org.apache.spark.ml.classification.LinearSVC
copy(ParamMap) - Method in class org.apache.spark.ml.classification.LinearSVCModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.LogisticRegression
copy(ParamMap) - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.MultilayerPerceptronClassifier
copy(ParamMap) - Method in class org.apache.spark.ml.classification.NaiveBayes
copy(ParamMap) - Method in class org.apache.spark.ml.classification.NaiveBayesModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.OneVsRest
copy(ParamMap) - Method in class org.apache.spark.ml.classification.OneVsRestModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel
copy(ParamMap) - Method in class org.apache.spark.ml.classification.RandomForestClassifier
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.BisectingKMeans
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.BisectingKMeansModel
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.DistributedLDAModel
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.GaussianMixture
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.GaussianMixtureModel
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.KMeans
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.KMeansModel
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.LDA
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.LocalLDAModel
copy(ParamMap) - Method in class org.apache.spark.ml.clustering.PowerIterationClustering
copy(ParamMap) - Method in class org.apache.spark.ml.Estimator
copy(ParamMap) - Method in class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
copy(ParamMap) - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator
copy(ParamMap) - Method in class org.apache.spark.ml.evaluation.Evaluator
copy(ParamMap) - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
copy(ParamMap) - Method in class org.apache.spark.ml.evaluation.MultilabelClassificationEvaluator
copy(ParamMap) - Method in class org.apache.spark.ml.evaluation.RankingEvaluator
copy(ParamMap) - Method in class org.apache.spark.ml.evaluation.RegressionEvaluator
copy(ParamMap) - Method in class org.apache.spark.ml.feature.Binarizer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSH
copy(ParamMap) - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.Bucketizer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.ChiSqSelector: Deprecated.
copy(ParamMap) - Method in class org.apache.spark.ml.feature.ChiSqSelectorModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.ColumnPruner
copy(ParamMap) - Method in class org.apache.spark.ml.feature.CountVectorizer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.CountVectorizerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.FeatureHasher
copy(ParamMap) - Method in class org.apache.spark.ml.feature.HashingTF
copy(ParamMap) - Method in class org.apache.spark.ml.feature.IDF
copy(ParamMap) - Method in class org.apache.spark.ml.feature.IDFModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.Imputer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.ImputerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.IndexToString
copy(ParamMap) - Method in class org.apache.spark.ml.feature.Interaction
copy(ParamMap) - Method in class org.apache.spark.ml.feature.MaxAbsScaler
copy(ParamMap) - Method in class org.apache.spark.ml.feature.MaxAbsScalerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.MinHashLSH
copy(ParamMap) - Method in class org.apache.spark.ml.feature.MinHashLSHModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.MinMaxScaler
copy(ParamMap) - Method in class org.apache.spark.ml.feature.MinMaxScalerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.OneHotEncoder
copy(ParamMap) - Method in class org.apache.spark.ml.feature.OneHotEncoderModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.PCA
copy(ParamMap) - Method in class org.apache.spark.ml.feature.PCAModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.PolynomialExpansion
copy(ParamMap) - Method in class org.apache.spark.ml.feature.QuantileDiscretizer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.RegexTokenizer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.RFormula
copy(ParamMap) - Method in class org.apache.spark.ml.feature.RFormulaModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.RobustScaler
copy(ParamMap) - Method in class org.apache.spark.ml.feature.RobustScalerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.SQLTransformer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.StandardScaler
copy(ParamMap) - Method in class org.apache.spark.ml.feature.StandardScalerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.StopWordsRemover
copy(ParamMap) - Method in class org.apache.spark.ml.feature.StringIndexer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.StringIndexerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.TargetEncoder
copy(ParamMap) - Method in class org.apache.spark.ml.feature.TargetEncoderModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.Tokenizer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.UnivariateFeatureSelector
copy(ParamMap) - Method in class org.apache.spark.ml.feature.UnivariateFeatureSelectorModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VarianceThresholdSelector
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VarianceThresholdSelectorModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VectorAssembler
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VectorAttributeRewriter
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VectorIndexer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VectorIndexerModel
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VectorSizeHint
copy(ParamMap) - Method in class org.apache.spark.ml.feature.VectorSlicer
copy(ParamMap) - Method in class org.apache.spark.ml.feature.Word2Vec
copy(ParamMap) - Method in class org.apache.spark.ml.feature.Word2VecModel
copy(ParamMap) - Method in class org.apache.spark.ml.fpm.FPGrowth
copy(ParamMap) - Method in class org.apache.spark.ml.fpm.FPGrowthModel
copy(ParamMap) - Method in class org.apache.spark.ml.fpm.PrefixSpan
copy(ParamMap) - Method in class org.apache.spark.ml.Model
copy(ParamMap) - Method in interface org.apache.spark.ml.param.Params: Creates a copy of this instance with the same UID and some extra params.
copy(ParamMap) - Method in class org.apache.spark.ml.Pipeline
copy(ParamMap) - Method in class org.apache.spark.ml.PipelineModel
copy(ParamMap) - Method in class org.apache.spark.ml.PipelineStage
copy(ParamMap) - Method in class org.apache.spark.ml.Predictor
copy(ParamMap) - Method in class org.apache.spark.ml.recommendation.ALS
copy(ParamMap) - Method in class org.apache.spark.ml.recommendation.ALSModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.AFTSurvivalRegression
copy(ParamMap) - Method in class org.apache.spark.ml.regression.AFTSurvivalRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.DecisionTreeRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.DecisionTreeRegressor
copy(ParamMap) - Method in class org.apache.spark.ml.regression.FMRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.FMRegressor
copy(ParamMap) - Method in class org.apache.spark.ml.regression.GBTRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.GBTRegressor
copy(ParamMap) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression
copy(ParamMap) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.IsotonicRegression
copy(ParamMap) - Method in class org.apache.spark.ml.regression.IsotonicRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.LinearRegression
copy(ParamMap) - Method in class org.apache.spark.ml.regression.LinearRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.RandomForestRegressionModel
copy(ParamMap) - Method in class org.apache.spark.ml.regression.RandomForestRegressor
copy(ParamMap) - Method in class org.apache.spark.ml.Transformer
copy(ParamMap) - Method in class org.apache.spark.ml.tuning.CrossValidator
copy(ParamMap) - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
copy(ParamMap) - Method in class org.apache.spark.ml.tuning.TrainValidationSplit
copy(ParamMap) - Method in class org.apache.spark.ml.tuning.TrainValidationSplitModel
copy(ParamMap) - Method in class org.apache.spark.ml.UnaryTransformer
copy(Vector, Vector) - Static method in class org.apache.spark.mllib.linalg.BLAS: y = x
copyAndReset() - Method in class org.apache.spark.sql.util.MapperRowCounter
copyAndReset() - Method in class org.apache.spark.util.AccumulatorV2: Creates a new copy of this accumulator, which is zero value.
copyAndReset() - Method in class org.apache.spark.util.CollectionAccumulator
copyDirectory(File, File) - Method in interface org.apache.spark.util.SparkFileUtils: Copy src to the target directory simply.
copyDirectory(File, File) - Static method in class org.apache.spark.util.Utils
copyFile(File, File) - Method in interface org.apache.spark.util.SparkFileUtils
copyFile(File, File) - Static method in class org.apache.spark.util.Utils
copyFileStreamNIO(FileChannel, WritableByteChannel, long, long) - Method in interface org.apache.spark.util.SparkStreamUtils
copyFileStreamNIO(FileChannel, WritableByteChannel, long, long) - Static method in class org.apache.spark.util.Utils
copyFileToDirectory(File, File) - Method in interface org.apache.spark.util.SparkFileUtils: Copy file to the target directory simply.
copyFileToDirectory(File, File) - Static method in class org.apache.spark.util.Utils
copyStream(InputStream, OutputStream, boolean, boolean) - Method in interface org.apache.spark.util.SparkStreamUtils: Copy all data from an InputStream to an OutputStream.
copyStream(InputStream, OutputStream, boolean, boolean) - Static method in class org.apache.spark.util.Utils
copyStream$default$3() - Static method in class org.apache.spark.util.Utils
copyStream$default$4() - Static method in class org.apache.spark.util.Utils
copyStreamUpTo(InputStream, long) - Static method in class org.apache.spark.util.Utils: Copy the first maxSize bytes of data from the InputStream to an in-memory buffer, primarily to check for corruption.
copyURLToFile(URL, File) - Method in interface org.apache.spark.util.SparkFileUtils
copyURLToFile(URL, File) - Static method in class org.apache.spark.util.Utils
copyValues(T, ParamMap) - Method in interface org.apache.spark.ml.param.Params: Copies param values from this instance to another instance for params shared by them.
cores() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RegisterExecutor
cores() - Method in class org.apache.spark.scheduler.MiscellaneousProcessDetails
cores(int) - Method in class org.apache.spark.resource.ExecutorResourceRequests: Specify number of cores per Executor.
CORES() - Static method in class org.apache.spark.resource.ResourceProfile: built-in executor resource: cores
CORES_GRANTED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
CORES_PER_EXECUTOR_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
coresGranted() - Method in class org.apache.spark.status.api.v1.ApplicationInfo
coresPerExecutor() - Method in class org.apache.spark.status.api.v1.ApplicationInfo
corr(String, String) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Calculates the Pearson Correlation Coefficient of two columns of a DataFrame.
corr(String, String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the Pearson Correlation Coefficient for two columns.
corr(String, String, String) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Calculates the correlation of two columns of a DataFrame.
corr(JavaRDD<Double>, JavaRDD<Double>) - Static method in class org.apache.spark.mllib.stat.Statistics: Java-friendly version of corr()
corr(JavaRDD<Double>, JavaRDD<Double>, String) - Static method in class org.apache.spark.mllib.stat.Statistics: Java-friendly version of corr()
corr(RDD<Object>, RDD<Object>) - Static method in class org.apache.spark.mllib.stat.Statistics: Compute the Pearson correlation for the input RDDs.
corr(RDD<Object>, RDD<Object>, String) - Static method in class org.apache.spark.mllib.stat.correlation.Correlations
corr(RDD<Object>, RDD<Object>, String) - Static method in class org.apache.spark.mllib.stat.Statistics: Compute the correlation for the input RDDs using the specified method.
corr(RDD<Vector>) - Static method in class org.apache.spark.mllib.stat.Statistics: Compute the Pearson correlation matrix for the input RDD of Vectors.
corr(RDD<Vector>, String) - Static method in class org.apache.spark.mllib.stat.Statistics: Compute the correlation matrix for the input RDD of Vectors using the specified method.
corr(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the Pearson Correlation Coefficient for two columns.
corr(Dataset<?>, String) - Static method in class org.apache.spark.ml.stat.Correlation: Compute the Pearson correlation matrix for the input Dataset of Vectors.
corr(Dataset<?>, String, String) - Static method in class org.apache.spark.ml.stat.Correlation: Compute the correlation matrix for the input Dataset of Vectors using the specified method.
Correlation - Class in org.apache.spark.ml.stat: API for correlation functions in MLlib, compatible with DataFrames and Datasets.
Correlation - Interface in org.apache.spark.mllib.stat.correlation: Trait for correlation algorithms.
Correlation() - Constructor for class org.apache.spark.ml.stat.Correlation
CorrelationNames - Class in org.apache.spark.mllib.stat.correlation: Maintains supported and default correlation names.
CorrelationNames() - Constructor for class org.apache.spark.mllib.stat.correlation.CorrelationNames
Correlations - Class in org.apache.spark.mllib.stat.correlation: Delegates computation to the specific correlation object based on the input method name.
Correlations() - Constructor for class org.apache.spark.mllib.stat.correlation.Correlations
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedEqualNullSafe
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedEqualTo
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedFilter: The corresponding non-collation aware filter.
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedGreaterThan
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedGreaterThanOrEqual
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedIn
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedLessThan
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedLessThanOrEqual
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedStringContains
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedStringEndsWith
correspondingFilter() - Method in class org.apache.spark.sql.sources.CollatedStringStartsWith
corrMatrix(RDD<Vector>, String) - Static method in class org.apache.spark.mllib.stat.correlation.Correlations
CORRUPT_MERGED_BLOCK_CHUNKS() - Method in class org.apache.spark.InternalAccumulator.shuffleRead$
CORRUPT_MERGED_BLOCK_CHUNKS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
CORRUPT_MERGED_BLOCK_CHUNKS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
corruptMergedBlockChunks() - Method in class org.apache.spark.status.api.v1.ShufflePushReadMetricDistributions
corruptMergedBlockChunks() - Method in class org.apache.spark.status.api.v1.ShufflePushReadMetrics
cos(String) - Static method in class org.apache.spark.sql.functions
cos(Column) - Static method in class org.apache.spark.sql.functions
cosh(String) - Static method in class org.apache.spark.sql.functions
cosh(Column) - Static method in class org.apache.spark.sql.functions
CosineSilhouette - Class in org.apache.spark.ml.evaluation: The algorithm which is implemented in this object, instead, is an efficient and parallel implementation of the Silhouette using the cosine distance measure.
CosineSilhouette() - Constructor for class org.apache.spark.ml.evaluation.CosineSilhouette
costSum() - Method in class org.apache.spark.ml.clustering.KMeansAggregator
cot(Column) - Static method in class org.apache.spark.sql.functions
count() - Method in interface org.apache.spark.api.java.JavaRDDLike: Return the number of elements in the RDD.
count() - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl: The number of edges in the RDD.
count() - Method in class org.apache.spark.graphx.impl.VertexRDDImpl: The number of vertices in the RDD.
count() - Method in class org.apache.spark.ml.clustering.ExpectationAggregator
count() - Method in class org.apache.spark.ml.clustering.KMeansAggregator
count() - Method in class org.apache.spark.mllib.stat.MultivariateOnlineSummarizer: Sample size.
count() - Method in interface org.apache.spark.mllib.stat.MultivariateStatisticalSummary: Sample size.
count() - Method in class org.apache.spark.rdd.RDD: Return the number of elements in the RDD.
count() - Method in class org.apache.spark.sql.Dataset: Returns the number of rows in the Dataset.
count() - Method in class org.apache.spark.sql.KeyValueGroupedDataset: Returns a Dataset that contains a tuple with each key and the number of items present for that key.
count() - Method in class org.apache.spark.sql.RelationalGroupedDataset: Count the number of rows for each group.
count() - Method in class org.apache.spark.status.RDDPartitionSeq
count() - Method in class org.apache.spark.storage.ReadableChannelFileRegion
count() - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream in which each RDD has a single element generated by counting each RDD of this DStream.
count() - Method in class org.apache.spark.streaming.dstream.DStream: Return a new DStream in which each RDD has a single element generated by counting each RDD of this DStream.
count() - Method in class org.apache.spark.util.DoubleAccumulator: Returns the number of elements added to the accumulator.
count() - Method in class org.apache.spark.util.LongAccumulator: Returns the number of elements added to the accumulator.
count() - Method in class org.apache.spark.util.StatCounter
count(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of items in a group.
count(MapFunction<T, Object>) - Static method in class org.apache.spark.sql.expressions.javalang.typed: Deprecated.

Count aggregate function.
count(Column) - Static method in class org.apache.spark.ml.stat.Summarizer
count(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of items in a group.
count(Column, Column) - Static method in class org.apache.spark.ml.stat.Summarizer
count(KVStoreView<T>, Function1<T, Object>) - Static method in class org.apache.spark.status.KVUtils: Counts the number of elements in the KVStoreView which satisfy a predicate.
count(Function1<IN, Object>) - Static method in class org.apache.spark.sql.expressions.scalalang.typed: Deprecated.

Count aggregate function.
Count - Class in org.apache.spark.sql.connector.expressions.aggregate: An aggregate function that returns the number of the specific row in a group.
Count(Expression, boolean) - Constructor for class org.apache.spark.sql.connector.expressions.aggregate.Count
count_distinct(Column, Column...) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of distinct items in a group.
count_distinct(Column, Seq<Column>) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of distinct items in a group.
count_if(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of TRUE values for the expression.
count_min_sketch(Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a count-min sketch of a column with the given esp, confidence and seed.
count_min_sketch(Column, Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a count-min sketch of a column with the given esp, confidence and seed.
countApprox(long) - Method in interface org.apache.spark.api.java.JavaRDDLike: Approximate version of count() that returns a potentially incomplete result within a timeout, even if not all tasks have finished.
countApprox(long, double) - Method in interface org.apache.spark.api.java.JavaRDDLike: Approximate version of count() that returns a potentially incomplete result within a timeout, even if not all tasks have finished.
countApprox(long, double) - Method in class org.apache.spark.rdd.RDD: Approximate version of count() that returns a potentially incomplete result within a timeout, even if not all tasks have finished.
countApproxDistinct(double) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return approximate number of distinct elements in the RDD.
countApproxDistinct(double) - Method in class org.apache.spark.rdd.RDD: Return approximate number of distinct elements in the RDD.
countApproxDistinct(int, int) - Method in class org.apache.spark.rdd.RDD: Return approximate number of distinct elements in the RDD.
countApproxDistinctByKey(double) - Method in class org.apache.spark.api.java.JavaPairRDD: Return approximate number of distinct values for each key in this RDD.
countApproxDistinctByKey(double) - Method in class org.apache.spark.rdd.PairRDDFunctions: Return approximate number of distinct values for each key in this RDD.
countApproxDistinctByKey(double, int) - Method in class org.apache.spark.api.java.JavaPairRDD: Return approximate number of distinct values for each key in this RDD.
countApproxDistinctByKey(double, int) - Method in class org.apache.spark.rdd.PairRDDFunctions: Return approximate number of distinct values for each key in this RDD.
countApproxDistinctByKey(double, Partitioner) - Method in class org.apache.spark.api.java.JavaPairRDD: Return approximate number of distinct values for each key in this RDD.
countApproxDistinctByKey(double, Partitioner) - Method in class org.apache.spark.rdd.PairRDDFunctions: Return approximate number of distinct values for each key in this RDD.
countApproxDistinctByKey(int, int, Partitioner) - Method in class org.apache.spark.rdd.PairRDDFunctions: Return approximate number of distinct values for each key in this RDD.
countAsync() - Method in interface org.apache.spark.api.java.JavaRDDLike: The asynchronous version of count, which returns a future for counting the number of elements in this RDD.
countAsync() - Method in class org.apache.spark.rdd.AsyncRDDActions: Returns a future for counting the number of elements in the RDD.
countByKey() - Method in class org.apache.spark.api.java.JavaPairRDD: Count the number of elements for each key, and return the result to the master as a Map.
countByKey() - Method in class org.apache.spark.rdd.PairRDDFunctions: Count the number of elements for each key, collecting the results to a local Map.
countByKeyApprox(long) - Method in class org.apache.spark.api.java.JavaPairRDD: Approximate version of countByKey that can return a partial result if it does not finish within a timeout.
countByKeyApprox(long, double) - Method in class org.apache.spark.api.java.JavaPairRDD: Approximate version of countByKey that can return a partial result if it does not finish within a timeout.
countByKeyApprox(long, double) - Method in class org.apache.spark.rdd.PairRDDFunctions: Approximate version of countByKey that can return a partial result if it does not finish within a timeout.
countByValue() - Method in interface org.apache.spark.api.java.JavaRDDLike: Return the count of each unique value in this RDD as a map of (value, count) pairs.
countByValue() - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream in which each RDD contains the counts of each distinct value in each RDD of this DStream.
countByValue(int) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream in which each RDD contains the counts of each distinct value in each RDD of this DStream.
countByValue(int, Ordering<T>) - Method in class org.apache.spark.streaming.dstream.DStream: Return a new DStream in which each RDD contains the counts of each distinct value in each RDD of this DStream.
countByValue(Ordering<T>) - Method in class org.apache.spark.rdd.RDD: Return the count of each unique value in this RDD as a local map of (value, count) pairs.
countByValueAndWindow(Duration, Duration) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream in which each RDD contains the count of distinct elements in RDDs in a sliding window over this DStream.
countByValueAndWindow(Duration, Duration, int) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream in which each RDD contains the count of distinct elements in RDDs in a sliding window over this DStream.
countByValueAndWindow(Duration, Duration, int, Ordering<T>) - Method in class org.apache.spark.streaming.dstream.DStream: Return a new DStream in which each RDD contains the count of distinct elements in RDDs in a sliding window over this DStream.
countByValueApprox(long) - Method in interface org.apache.spark.api.java.JavaRDDLike: Approximate version of countByValue().
countByValueApprox(long, double) - Method in interface org.apache.spark.api.java.JavaRDDLike: Approximate version of countByValue().
countByValueApprox(long, double, Ordering<T>) - Method in class org.apache.spark.rdd.RDD: Approximate version of countByValue().
countByWindow(Duration, Duration) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream in which each RDD has a single element generated by counting the number of elements in a window over this DStream.
countByWindow(Duration, Duration) - Method in class org.apache.spark.streaming.dstream.DStream: Return a new DStream in which each RDD has a single element generated by counting the number of elements in a sliding window over this DStream.
countDistinct(String, String...) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of distinct items in a group.
countDistinct(String, Seq<String>) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of distinct items in a group.
countDistinct(Column, Column...) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of distinct items in a group.
countDistinct(Column, Seq<Column>) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the number of distinct items in a group.
COUNTER() - Static method in class org.apache.spark.metrics.sink.StatsdMetricType
CountingWritableChannel - Class in org.apache.spark.storage
CountingWritableChannel(WritableByteChannel) - Constructor for class org.apache.spark.storage.CountingWritableChannel
countMinSketch(String, double, double, int) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Count-min Sketch over a specified column.
countMinSketch(String, int, int, int) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Count-min Sketch over a specified column.
countMinSketch(Column, double, double, int) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Count-min Sketch over a specified column.
countMinSketch(Column, int, int, int) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Builds a Count-min Sketch over a specified column.
CountMinSketch - Class in org.apache.spark.util.sketch: A Count-min sketch is a probabilistic data structure used for cardinality estimation using sub-linear space.
CountMinSketch() - Constructor for class org.apache.spark.util.sketch.CountMinSketch
CountMinSketch.Version - Enum Class in org.apache.spark.util.sketch
CountStar - Class in org.apache.spark.sql.connector.expressions.aggregate: An aggregate function that returns the number of rows in a group.
CountStar() - Constructor for class org.apache.spark.sql.connector.expressions.aggregate.CountStar
countTowardsTaskFailures() - Method in class org.apache.spark.ExecutorLostFailure
countTowardsTaskFailures() - Method in class org.apache.spark.FetchFailed: Fetch failures lead to a different failure handling path: (1) we don't abort the stage after 4 task failures, instead we immediately go back to the stage which generated the map output, and regenerate the missing data.
countTowardsTaskFailures() - Static method in class org.apache.spark.Resubmitted
countTowardsTaskFailures() - Method in class org.apache.spark.TaskCommitDenied: If a task failed because its attempt to commit was denied, do not count this failure towards failing the stage.
countTowardsTaskFailures() - Method in interface org.apache.spark.TaskFailedReason: Whether this task failure should be counted towards the maximum number of times the task is allowed to fail before the stage is aborted.
countTowardsTaskFailures() - Method in class org.apache.spark.TaskKilled
countTowardsTaskFailures() - Static method in class org.apache.spark.TaskResultLost
countTowardsTaskFailures() - Static method in class org.apache.spark.UnknownReason
CountVectorizer - Class in org.apache.spark.ml.feature: Extracts a vocabulary from document collections and generates a CountVectorizerModel.
CountVectorizer() - Constructor for class org.apache.spark.ml.feature.CountVectorizer
CountVectorizer(String) - Constructor for class org.apache.spark.ml.feature.CountVectorizer
CountVectorizerModel - Class in org.apache.spark.ml.feature: Converts a text document to a sparse vector of token counts.
CountVectorizerModel(String[]) - Constructor for class org.apache.spark.ml.feature.CountVectorizerModel
CountVectorizerModel(String, String[]) - Constructor for class org.apache.spark.ml.feature.CountVectorizerModel
CountVectorizerModel.Data$ - Class in org.apache.spark.ml.feature
CountVectorizerParams - Interface in org.apache.spark.ml.feature: Params for CountVectorizer and CountVectorizerModel.
cov() - Method in class org.apache.spark.ml.stat.distribution.MultivariateGaussian
cov(String, String) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Calculate the sample covariance of two numerical columns of a DataFrame.
covar_pop(String, String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the population covariance for two columns.
covar_pop(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the population covariance for two columns.
covar_samp(String, String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the sample covariance for two columns.
covar_samp(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the sample covariance for two columns.
covs() - Method in class org.apache.spark.ml.clustering.ExpectationAggregator
cpus() - Method in class org.apache.spark.BarrierTaskContext
cpus() - Method in class org.apache.spark.TaskContext: CPUs allocated to the task.
cpus(int) - Method in class org.apache.spark.resource.TaskResourceRequests: Specify number of cpus per Task.
CPUS() - Static method in class org.apache.spark.resource.ResourceProfile: built-in task resource: cpus
crc32(Column) - Static method in class org.apache.spark.sql.functions: Calculates the cyclic redundancy check value (CRC32) of a binary column and returns the value as a bigint.
CreatableRelationProvider - Interface in org.apache.spark.sql.sources
create() - Method in interface org.apache.spark.sql.CreateTableWriter
create() - Method in class org.apache.spark.sql.SparkSession.Builder
create(boolean, boolean, boolean, boolean, int) - Static method in class org.apache.spark.api.java.StorageLevels: Create a new StorageLevel object.
create(double, double, int) - Static method in class org.apache.spark.util.sketch.CountMinSketch: Creates a CountMinSketch with given relative error (eps), confidence, and random seed.
create(int, int, int) - Static method in class org.apache.spark.util.sketch.CountMinSketch: Creates a CountMinSketch with given depth, width, and random seed.
create(long) - Static method in class org.apache.spark.util.sketch.BloomFilter: Creates a BloomFilter with the expected number of insertions and a default expected false positive probability of 3%.
create(long, double) - Static method in class org.apache.spark.util.sketch.BloomFilter: Creates a BloomFilter with the expected number of insertions and expected false positive probability.
create(long, long) - Static method in class org.apache.spark.util.sketch.BloomFilter: Creates a BloomFilter with given expectedNumItems and numBits, it will pick an optimal numHashFunctions which can minimize fpp for the bloom filter.
create(long, long, int) - Static method in class org.apache.spark.util.sketch.BloomFilter
create(Object...) - Static method in class org.apache.spark.sql.RowFactory: Create a Row from the given arguments.
create(String, DataType) - Static method in interface org.apache.spark.sql.connector.catalog.Column
create(String, DataType, boolean) - Static method in interface org.apache.spark.sql.connector.catalog.Column
create(String, DataType, boolean, String, String) - Static method in interface org.apache.spark.sql.connector.catalog.Column
create(String, DataType, boolean, String, String, String) - Static method in interface org.apache.spark.sql.connector.catalog.Column
create(String, DataType, boolean, String, ColumnDefaultValue, String) - Static method in interface org.apache.spark.sql.connector.catalog.Column
create(String, DataType, boolean, String, IdentityColumnSpec, String) - Static method in interface org.apache.spark.sql.connector.catalog.Column
create(JavaSparkContext, JdbcRDD.ConnectionFactory, String, long, long, int) - Static method in class org.apache.spark.rdd.JdbcRDD: Deprecated.

Create an RDD that executes a SQL query on a JDBC connection and reads results.
create(JavaSparkContext, JdbcRDD.ConnectionFactory, String, long, long, int, Function<ResultSet, T>) - Static method in class org.apache.spark.rdd.JdbcRDD: Deprecated.

Create an RDD that executes a SQL query on a JDBC connection and reads results.
create(RDD<T>, Function1<Object, Object>) - Static method in class org.apache.spark.rdd.PartitionPruningRDD: Create a PartitionPruningRDD.
create(BloomFilter.Version, long, long, int) - Static method in class org.apache.spark.util.sketch.BloomFilter
createArray(int, K, ClassTag<K>) - Method in interface org.apache.spark.util.SparkCollectionUtils
createArrayType(String) - Static method in class org.apache.spark.sql.api.r.SQLUtils
createArrayType(DataType) - Static method in class org.apache.spark.sql.types.DataTypes: Creates an ArrayType by specifying the data type of elements (elementType).
createArrayType(DataType, boolean) - Static method in class org.apache.spark.sql.types.DataTypes: Creates an ArrayType by specifying the data type of elements (elementType) and whether the array contains null values (containsNull).
createAttrGroupForAttrNames(String, int, boolean, boolean) - Static method in class org.apache.spark.ml.feature.OneHotEncoderCommon: Creates an `AttributeGroup` with the required number of `BinaryAttribute`.
createBatchWriterFactory(PhysicalWriteInfo) - Method in interface org.apache.spark.sql.connector.write.BatchWrite: Creates a writer factory which will be serialized and sent to executors.
createBatchWriterFactory(PhysicalWriteInfo) - Method in interface org.apache.spark.sql.connector.write.DeltaBatchWrite
createCharType(int) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a CharType with the given length.
createChunkBlockInfosFromMetaResponse(int, int, int, long, RoaringBitmap[]) - Method in class org.apache.spark.storage.PushBasedFetchHelper: This is executed by the task thread when the iterator.next() is invoked and the iterator processes a response of type ShuffleBlockFetcherIterator.PushMergedRemoteMetaFetchResult.
createColumnarReader(InputPartition) - Method in interface org.apache.spark.sql.connector.read.PartitionReaderFactory: Returns a columnar partition reader to read data from the given InputPartition.
createColumnarReader(InputPartition) - Method in interface org.apache.spark.sql.connector.read.streaming.ContinuousPartitionReaderFactory
createCombiner() - Method in class org.apache.spark.Aggregator
createCompiledClass(String, File, String, String, Seq<URL>, Seq<String>, String, Option<String>) - Static method in class org.apache.spark.TestUtils
createCompiledClass(String, File, String, String, Seq<URL>, Seq<String>, String, Option<String>) - Method in interface org.apache.spark.util.SparkTestUtils: Creates a compiled class with the given name.
createCompiledClass(String, File, SparkTestUtils.JavaSourceFromString, Seq<URL>) - Static method in class org.apache.spark.TestUtils
createCompiledClass(String, File, SparkTestUtils.JavaSourceFromString, Seq<URL>) - Method in interface org.apache.spark.util.SparkTestUtils: Creates a compiled class with the source file.
createCompiledClass$default$3() - Static method in class org.apache.spark.TestUtils
createCompiledClass$default$4() - Static method in class org.apache.spark.TestUtils
createCompiledClass$default$5() - Static method in class org.apache.spark.TestUtils
createCompiledClass$default$6() - Static method in class org.apache.spark.TestUtils
createCompiledClass$default$7() - Static method in class org.apache.spark.TestUtils
createCompiledClass$default$8() - Static method in class org.apache.spark.TestUtils
createConnectionFactory(JDBCOptions) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Returns a factory for creating connections to the given JDBC URL.
createConnectionFactory(JDBCOptions) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
createContinuousReaderFactory() - Method in interface org.apache.spark.sql.connector.read.streaming.ContinuousStream: Returns a factory to create a ContinuousPartitionReader for each InputPartition.
createCryptoInputStream(InputStream, SparkConf, byte[]) - Static method in class org.apache.spark.security.CryptoStreamUtils: Helper method to wrap InputStream with CryptoInputStream for decryption.
createCryptoOutputStream(OutputStream, SparkConf, byte[]) - Static method in class org.apache.spark.security.CryptoStreamUtils: Helper method to wrap OutputStream with CryptoOutputStream for encryption.
createDataFrame(List<?>, Class<?>) - Method in class org.apache.spark.sql.SparkSession: Applies a schema to a List of Java Beans.
createDataFrame(List<?>, Class<?>) - Method in class org.apache.spark.sql.SQLContext: Applies a schema to a List of Java Beans.
createDataFrame(List<Row>, StructType) - Method in class org.apache.spark.sql.SparkSession: :: DeveloperApi :: Creates a DataFrame from a java.util.List containing Rows using the given schema.It is important to make sure that the structure of every Row of the provided List matches the provided schema.
createDataFrame(List<Row>, StructType) - Method in class org.apache.spark.sql.SQLContext: :: DeveloperApi :: Creates a DataFrame from a JList containing Rows using the given schema.
createDataFrame(JavaRDD<?>, Class<?>) - Method in class org.apache.spark.sql.SparkSession: Applies a schema to an RDD of Java Beans.
createDataFrame(JavaRDD<?>, Class<?>) - Method in class org.apache.spark.sql.SQLContext: Applies a schema to an RDD of Java Beans.
createDataFrame(JavaRDD<Row>, StructType) - Method in class org.apache.spark.sql.SparkSession: :: DeveloperApi :: Creates a DataFrame from a JavaRDD containing Rows using the given schema.
createDataFrame(JavaRDD<Row>, StructType) - Method in class org.apache.spark.sql.SQLContext: :: DeveloperApi :: Creates a DataFrame from a JavaRDD containing Rows using the given schema.
createDataFrame(RDD<?>, Class<?>) - Method in class org.apache.spark.sql.SparkSession: Applies a schema to an RDD of Java Beans.
createDataFrame(RDD<?>, Class<?>) - Method in class org.apache.spark.sql.SQLContext: Applies a schema to an RDD of Java Beans.
createDataFrame(RDD<A>, TypeTags.TypeTag<A>) - Method in class org.apache.spark.sql.SparkSession: Creates a DataFrame from an RDD of Product (e.g.
createDataFrame(RDD<A>, TypeTags.TypeTag<A>) - Method in class org.apache.spark.sql.SQLContext: Creates a DataFrame from an RDD of Product (e.g.
createDataFrame(RDD<Row>, StructType) - Method in class org.apache.spark.sql.SparkSession: :: DeveloperApi :: Creates a DataFrame from an RDD containing Rows using the given schema.
createDataFrame(RDD<Row>, StructType) - Method in class org.apache.spark.sql.SQLContext: :: DeveloperApi :: Creates a DataFrame from an RDD containing Rows using the given schema.
createDataFrame(Seq<A>, TypeTags.TypeTag<A>) - Method in class org.apache.spark.sql.SparkSession: Creates a DataFrame from a local Seq of Product.
createDataFrame(Seq<A>, TypeTags.TypeTag<A>) - Method in class org.apache.spark.sql.SQLContext: Creates a DataFrame from a local Seq of Product.
createDataset(List<T>, Encoder<T>) - Method in class org.apache.spark.sql.SparkSession: Creates a Dataset from a java.util.List of a given type.
createDataset(List<T>, Encoder<T>) - Method in class org.apache.spark.sql.SQLContext: Creates a Dataset from a JList of a given type.
createDataset(RDD<T>, Encoder<T>) - Method in class org.apache.spark.sql.SparkSession: Creates a Dataset from an RDD of a given type.
createDataset(RDD<T>, Encoder<T>) - Method in class org.apache.spark.sql.SQLContext: Creates a Dataset from an RDD of a given type.
createDataset(Seq<T>, Encoder<T>) - Method in class org.apache.spark.sql.SparkSession: Creates a Dataset from a local Seq of data of a given type.
createDataset(Seq<T>, Encoder<T>) - Method in class org.apache.spark.sql.SQLContext: Creates a Dataset from a local Seq of data of a given type.
createDayTimeIntervalType() - Static method in class org.apache.spark.sql.types.DataTypes: Creates a DayTimeIntervalType with default start and end fields: interval day to second.
createDayTimeIntervalType(byte, byte) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a DayTimeIntervalType by specifying the start and end fields.
createDecimalType() - Static method in class org.apache.spark.sql.types.DataTypes: Creates a DecimalType with default precision and scale, which are 10 and 0.
createDecimalType(int, int) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a DecimalType by specifying the precision and scale.
createDF(RDD<byte[]>, StructType, SparkSession) - Static method in class org.apache.spark.sql.api.r.SQLUtils
createDirectory(File) - Method in interface org.apache.spark.util.SparkFileUtils: Create a directory given the abstract pathname
createDirectory(File) - Static method in class org.apache.spark.util.Utils
createDirectory(String, String) - Method in interface org.apache.spark.util.SparkFileUtils: Create a directory inside the given parent directory.
createDirectory(String, String) - Static method in class org.apache.spark.util.Utils
createDirectory$default$2() - Static method in class org.apache.spark.util.Utils
createEvaluator() - Method in interface org.apache.spark.PartitionEvaluatorFactory: Creates a partition evaluator.
createExecutorLocalTempDir(SparkConf, String) - Static method in class org.apache.spark.util.Utils: Create a temporary directy that will always be cleaned up when the executor stops, even in the case of a hard shutdown when the shutdown hooks don't get run.
createExternalTable(String, String) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use createTable instead. Since 2.2.0.
createExternalTable(String, String) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
use sparkSession.catalog.createTable instead. Since 2.2.0.
createExternalTable(String, String, String) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use createTable instead. Since 2.2.0.
createExternalTable(String, String, String) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
use sparkSession.catalog.createTable instead. Since 2.2.0.
createExternalTable(String, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use createTable instead. Since 2.2.0.
createExternalTable(String, String, Map<String, String>) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
use sparkSession.catalog.createTable instead. Since 2.2.0.
createExternalTable(String, String, StructType, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use createTable instead. Since 2.2.0.
createExternalTable(String, String, StructType, Map<String, String>) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
use sparkSession.catalog.createTable instead. Since 2.2.0.
createExternalTable(String, String, StructType, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use createTable instead. Since 2.2.0.
createExternalTable(String, String, StructType, Map<String, String>) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
use sparkSession.catalog.createTable instead. Since 2.2.0.
createExternalTable(String, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use createTable instead. Since 2.2.0.
createExternalTable(String, String, Map<String, String>) - Method in class org.apache.spark.sql.SQLContext: Deprecated.
use sparkSession.catalog.createTable instead. Since 2.2.0.
createFailedToGetTokenMessage(String) - Static method in class org.apache.spark.util.Utils: Returns a string message about delegation token generation failure
createGeographyType(int) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a GeographyType by specifying the SRID value.
createGeographyType(String) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a GeographyType by specifying the CRS value.
createGeometryType(int) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a GeometryType by specifying the SRID value.
createGeometryType(String) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a GeometryType by specifying the CRS value.
createGlobalTempView(String) - Method in class org.apache.spark.sql.Dataset: Creates a global temporary view using the given name.
createHandle(Option<T>) - Method in interface org.apache.spark.util.LexicalThreadLocal
createIndex(String, Identifier, NamedReference[], Map<NamedReference, Map<String, String>>, Map<String, String>) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Build a create index SQL statement.
createIndex(String, Identifier, NamedReference[], Map<NamedReference, Map<String, String>>, Map<String, String>) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
createIndex(String, Identifier, NamedReference[], Map<NamedReference, Map<String, String>>, Map<String, String>) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
createIndex(String, Identifier, NamedReference[], Map<NamedReference, Map<String, String>>, Map<String, String>) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
createIndex(String, NamedReference[], Map<NamedReference, Map<String, String>>, Map<String, String>) - Method in interface org.apache.spark.sql.connector.catalog.index.SupportsIndex: Creates an index.
createInputStream(Configuration, Path) - Static method in class org.apache.spark.io.HadoopCodecStreams
createJar(Seq<File>, File, Option<String>, Option<String>) - Static method in class org.apache.spark.TestUtils: Create a jar file that contains this set of files.
createJarWithClasses(Seq<String>, String, Seq<Tuple2<String, String>>, Seq<URL>) - Static method in class org.apache.spark.TestUtils: Create a jar that defines classes with the given names.
createJarWithFiles(Map<String, String>, File) - Static method in class org.apache.spark.TestUtils: Create a jar file containing multiple files.
createKey(SparkConf) - Static method in class org.apache.spark.security.CryptoStreamUtils: Creates a new encryption key.
createKVStore(Option<File>, boolean, SparkConf) - Static method in class org.apache.spark.status.KVUtils
createListeners(SparkConf, ElementTrackingStore) - Method in interface org.apache.spark.status.AppHistoryServerPlugin: Creates listeners to replay the event logs.
createLogForDriver(SparkConf, String, Configuration) - Static method in class org.apache.spark.streaming.util.WriteAheadLogUtils: Create a WriteAheadLog for the driver.
createLogForReceiver(SparkConf, String, Configuration) - Static method in class org.apache.spark.streaming.util.WriteAheadLogUtils: Create a WriteAheadLog for the receiver.
createMapOutputWriter(int, long, int) - Method in interface org.apache.spark.shuffle.api.ShuffleExecutorComponents: Called once per map task to create a writer that will be responsible for persisting all the partitioned bytes written by that map task.
createMapType(DataType, DataType) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a MapType by specifying the data type of keys (keyType) and values (keyType).
createMapType(DataType, DataType, boolean) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a MapType by specifying the data type of keys (keyType), the data type of values (keyType), and whether values contain any null value (valueContainsNull).
createMetrics(long) - Static method in class org.apache.spark.status.LiveEntityHelpers
createMetrics(long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long) - Static method in class org.apache.spark.status.LiveEntityHelpers
createModel(DenseVector<Object>) - Method in interface org.apache.spark.ml.ann.Layer: Returns the instance of the layer based on weights provided.
createNamespace(String[], Map<String, String>) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
createNamespace(String[], Map<String, String>) - Method in interface org.apache.spark.sql.connector.catalog.SupportsNamespaces: Create a namespace in the catalog.
createOrReplace() - Method in interface org.apache.spark.sql.CreateTableWriter: Create a new table or replace an existing table with the contents of the data frame.
createOrReplaceGlobalTempView(String) - Method in class org.apache.spark.sql.Dataset: Creates or replaces a global temporary view using the given name.
createOrReplaceTempView(String) - Method in class org.apache.spark.sql.Dataset: Creates a local temporary view using the given name.
createOutputOperationFailureForUI(String) - Static method in class org.apache.spark.streaming.ui.UIUtils
createParentDirs(File) - Method in interface org.apache.spark.util.SparkFileUtils
createParentDirs(File) - Static method in class org.apache.spark.util.Utils
createPartition(InternalRow, Map<String, String>) - Method in interface org.apache.spark.sql.connector.catalog.SupportsAtomicPartitionManagement
createPartition(InternalRow, Map<String, String>) - Method in interface org.apache.spark.sql.connector.catalog.SupportsPartitionManagement: Create a partition in table.
createPartitions(InternalRow[], Map<String, String>[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsAtomicPartitionManagement: Create an array of partitions atomically in table.
createPMMLModelExport(Object) - Static method in class org.apache.spark.mllib.pmml.export.PMMLModelExportFactory: Factory object to help creating the necessary PMMLModelExport implementation taking as input the machine learning model (for example KMeansModel).
createProxyHandler(Function1<String, Option<String>>) - Static method in class org.apache.spark.ui.JettyUtils: Create a handler for proxying request to Workers and Application Drivers
createProxyLocationHeader(String, HttpServletRequest, URI) - Static method in class org.apache.spark.ui.JettyUtils
createProxyURI(String, String, String, String) - Static method in class org.apache.spark.ui.JettyUtils
createRDDFromArray(JavaSparkContext, byte[][]) - Static method in class org.apache.spark.api.r.RRDD: Create an RRDD given a sequence of byte arrays.
createRDDFromFile(JavaSparkContext, String, int) - Static method in class org.apache.spark.api.r.RRDD: Create an RRDD given a temporary file name.
createReadableChannel(ReadableByteChannel, SparkConf, byte[]) - Static method in class org.apache.spark.security.CryptoStreamUtils: Wrap a ReadableByteChannel for decryption.
createReader(InputPartition) - Method in interface org.apache.spark.sql.connector.read.PartitionReaderFactory: Returns a row-based partition reader to read data from the given InputPartition.
createReader(InputPartition) - Method in interface org.apache.spark.sql.connector.read.streaming.ContinuousPartitionReaderFactory
createReaderFactory() - Method in interface org.apache.spark.sql.connector.read.Batch: Returns a factory to create a PartitionReader for each InputPartition.
createReaderFactory() - Method in interface org.apache.spark.sql.connector.read.streaming.MicroBatchStream: Returns a factory to create a PartitionReader for each InputPartition.
createRedirectHandler(String, String, Function1<HttpServletRequest, BoxedUnit>, String, Set<String>) - Static method in class org.apache.spark.ui.JettyUtils: Create a handler that always redirects the user to the given path
createRelation(SQLContext, SaveMode, Map<String, String>, Dataset<Row>) - Method in interface org.apache.spark.sql.sources.CreatableRelationProvider: Saves a DataFrame to a destination (using data source-specific parameters)
createRelation(SQLContext, Map<String, String>) - Method in interface org.apache.spark.sql.sources.RelationProvider: Returns a new base relation with the given parameters.
createRelation(SQLContext, Map<String, String>, StructType) - Method in interface org.apache.spark.sql.sources.SchemaRelationProvider: Returns a new base relation with the given parameters and user defined schema.
createResourceUninterruptiblyIfInTaskThread(Function0<R>) - Static method in class org.apache.spark.util.Utils: Create a resource uninterruptibly if we are in a task thread (i.e., TaskContext.get() != null).
createSchedulerBackend(SparkContext, String, TaskScheduler) - Method in interface org.apache.spark.scheduler.ExternalClusterManager: Create a scheduler backend for the given SparkContext and scheduler.
createSchema(Statement, String, String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Create schema with an optional comment.
createSchema(Statement, String, String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
createSecret(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils
createServletHandler(String, HttpServlet, String) - Static method in class org.apache.spark.ui.JettyUtils: Create a context handler that responds to a request with the given path prefix
createServletHandler(String, JettyUtils.ServletParams<T>, SparkConf, String) - Static method in class org.apache.spark.ui.JettyUtils: Create a context handler that responds to a request with the given path prefix
createSingleFileMapOutputWriter(int, long) - Method in interface org.apache.spark.shuffle.api.ShuffleExecutorComponents: An optional extension for creating a map output writer that can optimize the transfer of a single partition file, as the entire result of a map task, to the backing store.
createSink(SQLContext, Map<String, String>, Seq<String>, OutputMode) - Method in interface org.apache.spark.sql.sources.StreamSinkProvider
createSource(SQLContext, String, Option<StructType>, String, Map<String, String>) - Method in interface org.apache.spark.sql.sources.StreamSourceProvider
createSparkContext(String, String, String, String[], Map<Object, Object>, Map<Object, Object>) - Static method in class org.apache.spark.api.r.RRDD
createStaticHandler(String, String) - Static method in class org.apache.spark.ui.JettyUtils: Create a handler for serving files from a static directory
createStream(JavaStreamingContext, String, String, String, String, int, Duration, int, StorageLevel, String, String, String, String, String) - Method in class org.apache.spark.streaming.kinesis.KinesisUtilsPythonHelper
createStreamingWriterFactory(PhysicalWriteInfo) - Method in interface org.apache.spark.sql.connector.write.streaming.StreamingWrite: Creates a writer factory which will be serialized and sent to executors.
createStructField(String, String, boolean) - Static method in class org.apache.spark.sql.api.r.SQLUtils
createStructField(String, DataType, boolean) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a StructField with empty metadata.
createStructField(String, DataType, boolean, Metadata) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a StructField by specifying the name (name), data type (dataType) and whether values of this field can be null values (nullable).
createStructType(List<StructField>) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a StructType with the given list of StructFields (fields).
createStructType(StructField[]) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a StructType with the given StructField array (fields).
createStructType(Seq<StructField>) - Static method in class org.apache.spark.sql.api.r.SQLUtils
createTable(String, String) - Method in class org.apache.spark.sql.catalog.Catalog: Creates a table from the given path and returns the corresponding DataFrame.
createTable(String, String, String) - Method in class org.apache.spark.sql.catalog.Catalog: Creates a table from the given path based on a data source and returns the corresponding DataFrame.
createTable(String, String, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Creates a table based on the dataset in a data source and a set of options.
createTable(String, String, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: (Scala-specific) Creates a table based on the dataset in a data source and a set of options.
createTable(String, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Creates a table based on the dataset in a data source and a set of options.
createTable(String, String, StructType, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Create a table based on the dataset in a data source, a schema and a set of options.
createTable(String, String, StructType, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: (Scala-specific) Create a table based on the dataset in a data source, a schema and a set of options.
createTable(String, String, StructType, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: Create a table based on the dataset in a data source, a schema and a set of options.
createTable(String, String, StructType, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: (Scala-specific) Create a table based on the dataset in a data source, a schema and a set of options.
createTable(String, String, Map<String, String>) - Method in class org.apache.spark.sql.catalog.Catalog: (Scala-specific) Creates a table based on the dataset in a data source and a set of options.
createTable(Statement, String, String, JdbcOptionsInWrite) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Create the table if the table does not exist.
createTable(Statement, String, String, JdbcOptionsInWrite) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
createTable(Identifier, Column[], Transform[], Map<String, String>) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
createTable(Identifier, Column[], Transform[], Map<String, String>) - Method in interface org.apache.spark.sql.connector.catalog.TableCatalog: Deprecated.
This is deprecated. Please override TableCatalog.createTable(Identifier, TableInfo) instead.
createTable(Identifier, TableInfo) - Method in interface org.apache.spark.sql.connector.catalog.TableCatalog: Create a table in the catalog.
createTable(Identifier, StructType, Transform[], Map<String, String>) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
createTable(Identifier, StructType, Transform[], Map<String, String>) - Method in interface org.apache.spark.sql.connector.catalog.TableCatalog: Deprecated.
This is deprecated. Please override TableCatalog.createTable(Identifier, Column[], Transform[], Map) instead.
CreateTableWriter<T> - Interface in org.apache.spark.sql: Trait to restrict calls to create and replace operations.
createTaskScheduler(SparkContext, String) - Method in interface org.apache.spark.scheduler.ExternalClusterManager: Create a task scheduler instance for the given SparkContext
createTempDir() - Method in interface org.apache.spark.util.SparkFileUtils: Create a temporary directory inside the java.io.tmpdir prefixed with spark.
createTempDir(String, String) - Method in interface org.apache.spark.util.SparkFileUtils: Create a temporary directory inside the given parent directory.
createTempDir(String, String) - Static method in class org.apache.spark.util.Utils: Create a temporary directory inside the given parent directory.
createTempDir$default$1() - Static method in class org.apache.spark.util.Utils
createTempDir$default$2() - Static method in class org.apache.spark.util.Utils
createTempJsonFile(File, String, JValue) - Static method in class org.apache.spark.TestUtils: Creates a temp JSON file that contains the input JSON record.
createTempScriptWithExpectedOutput(File, String, String) - Static method in class org.apache.spark.TestUtils: Creates a temp bash script that prints the given output.
createTempView(String) - Method in class org.apache.spark.sql.Dataset: Creates a local temporary view using the given name.
createUnsafe(long, int, int) - Static method in class org.apache.spark.sql.types.Decimal: Creates a decimal from unscaled, precision and scale without checking the bounds.
createURI(String) - Method in interface org.apache.spark.util.SparkTestUtils
createVarcharType(int) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a VarcharType with the given length.
createView(ViewInfo) - Method in interface org.apache.spark.sql.connector.catalog.ViewCatalog: Create a view in the catalog.
createWorkspace(int) - Static method in class org.apache.spark.mllib.optimization.NNLS
createWritableChannel(WritableByteChannel, SparkConf, byte[]) - Static method in class org.apache.spark.security.CryptoStreamUtils: Wrap a WritableByteChannel for encryption.
createWriter(int, long) - Method in interface org.apache.spark.sql.connector.write.DataWriterFactory: Returns a data writer to do the actual writing work.
createWriter(int, long) - Method in interface org.apache.spark.sql.connector.write.DeltaWriterFactory
createWriter(int, long, long) - Method in interface org.apache.spark.sql.connector.write.streaming.StreamingDataWriterFactory: Returns a data writer to do the actual writing work.
createYearMonthIntervalType() - Static method in class org.apache.spark.sql.types.DataTypes: Creates a YearMonthIntervalType with default start and end fields: interval year to month.
createYearMonthIntervalType(byte, byte) - Static method in class org.apache.spark.sql.types.DataTypes: Creates a YearMonthIntervalType by specifying the start and end fields.
createZstdInputStream(Path, InputStream) - Static method in class org.apache.spark.io.HadoopCodecStreams
crossJoin(Dataset<?>) - Method in class org.apache.spark.sql.Dataset: Explicit cartesian join with another DataFrame.
crosstab(String, String) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Computes a pair-wise frequency table of the given columns.
CrossValidator - Class in org.apache.spark.ml.tuning: K-fold cross validation performs model selection by splitting the dataset into a set of non-overlapping randomly partitioned folds which are used as separate training and test datasets e.g., with k=3 folds, K-fold cross validation will generate 3 (training, test) dataset pairs, each of which uses 2/3 of the data for training and 1/3 for testing.
CrossValidator() - Constructor for class org.apache.spark.ml.tuning.CrossValidator
CrossValidator(String) - Constructor for class org.apache.spark.ml.tuning.CrossValidator
CrossValidatorModel - Class in org.apache.spark.ml.tuning: CrossValidatorModel contains the model with the highest average cross-validation metric across folds and uses this model to transform input data.
CrossValidatorModel.CrossValidatorModelWriter - Class in org.apache.spark.ml.tuning: Writer for CrossValidatorModel.
CrossValidatorParams - Interface in org.apache.spark.ml.tuning: Params for CrossValidator and CrossValidatorModel.
crs() - Method in class org.apache.spark.sql.types.GeographyType
crs() - Method in class org.apache.spark.sql.types.GeometryType
CryptoStreamUtils - Class in org.apache.spark.security: A util class for manipulating IO encryption and decryption streams.
CryptoStreamUtils() - Constructor for class org.apache.spark.security.CryptoStreamUtils
csc(Column) - Static method in class org.apache.spark.sql.functions
csv(String) - Method in class org.apache.spark.sql.DataFrameReader: Loads a CSV file and returns the result as a DataFrame.
csv(String) - Method in class org.apache.spark.sql.DataFrameWriter: Saves the content of the DataFrame in CSV format at the specified path.
csv(String) - Method in class org.apache.spark.sql.streaming.DataStreamReader: Loads a CSV file stream and returns the result as a DataFrame.
csv(String...) - Method in class org.apache.spark.sql.DataFrameReader: Loads CSV files and returns the result as a DataFrame.
csv(Dataset<String>) - Method in class org.apache.spark.sql.DataFrameReader: Loads an Dataset[String] storing CSV rows and returns the result as a DataFrame.
csv(Seq<String>) - Method in class org.apache.spark.sql.DataFrameReader: Loads CSV files and returns the result as a DataFrame.
cube(String, String...) - Method in class org.apache.spark.sql.Dataset: Create a multi-dimensional cube for the current Dataset using the specified columns, so we can run aggregation on them.
cube(String, Seq<String>) - Method in class org.apache.spark.sql.Dataset: Create a multi-dimensional cube for the current Dataset using the specified columns, so we can run aggregation on them.
cube(Column...) - Method in class org.apache.spark.sql.Dataset: Create a multi-dimensional cube for the current Dataset using the specified columns, so we can run aggregation on them.
cube(Seq<Column>) - Method in class org.apache.spark.sql.Dataset: Create a multi-dimensional cube for the current Dataset using the specified columns, so we can run aggregation on them.
cume_dist() - Static method in class org.apache.spark.sql.functions: Window function: returns the cumulative distribution of values within a window partition, i.e.
curdate() - Static method in class org.apache.spark.sql.functions: Returns the current date at the start of query evaluation as a date column.
current_catalog() - Static method in class org.apache.spark.sql.functions: Returns the current catalog.
current_database() - Static method in class org.apache.spark.sql.functions: Returns the current database.
current_date() - Static method in class org.apache.spark.sql.functions: Returns the current date at the start of query evaluation as a date column.
current_schema() - Static method in class org.apache.spark.sql.functions: Returns the current schema.
current_time() - Static method in class org.apache.spark.sql.functions: Returns the current time at the start of query evaluation.
current_time(int) - Static method in class org.apache.spark.sql.functions: Returns the current time at the start of query evaluation.
current_timestamp() - Static method in class org.apache.spark.sql.functions: Returns the current timestamp at the start of query evaluation as a timestamp column.
current_timezone() - Static method in class org.apache.spark.sql.functions: Returns the current session local timezone.
current_user() - Static method in class org.apache.spark.sql.functions: Returns the user name of current execution context.
currentAttemptId() - Method in interface org.apache.spark.SparkStageInfo
currentAttemptId() - Method in class org.apache.spark.SparkStageInfoImpl
currentCatalog() - Method in class org.apache.spark.sql.catalog.Catalog: Returns the current catalog in this session.
currentCatalog() - Method in interface org.apache.spark.sql.connector.catalog.LookupCatalog: Returns the current catalog set.
currentCatalog() - Method in interface org.apache.spark.sql.connector.catalog.View: The current catalog when the view is created.
currentCatalog() - Method in class org.apache.spark.sql.connector.catalog.ViewInfo
currentDatabase() - Method in class org.apache.spark.sql.catalog.Catalog: Returns the current database (namespace) in this session.
currentMetricsValues() - Method in interface org.apache.spark.sql.connector.read.PartitionReader: Returns an array of custom task metrics.
currentMetricsValues() - Method in interface org.apache.spark.sql.connector.write.DataWriter: Returns an array of custom task metrics.
currentNamespace() - Method in interface org.apache.spark.sql.connector.catalog.View: The current namespace when the view is created.
currentNamespace() - Method in class org.apache.spark.sql.connector.catalog.ViewInfo
currentResult() - Method in interface org.apache.spark.partial.ApproximateEvaluator
currentRow() - Static method in class org.apache.spark.sql.expressions.Window: Value representing the current row.
currPrefLocs(Partition, RDD<?>) - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer
CUSTOM_METRICS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
CustomAvgMetric - Class in org.apache.spark.sql.connector.metric: Built-in `CustomMetric` that computes average of metric values.
CustomAvgMetric() - Constructor for class org.apache.spark.sql.connector.metric.CustomAvgMetric
CustomMetric - Interface in org.apache.spark.sql.connector.metric: A custom metric.
customMetrics() - Method in class org.apache.spark.sql.streaming.StateOperatorProgress
CustomSumMetric - Class in org.apache.spark.sql.connector.metric: Built-in `CustomMetric` that sums up metric values.
CustomSumMetric() - Constructor for class org.apache.spark.sql.connector.metric.CustomSumMetric
CustomTaskMetric - Interface in org.apache.spark.sql.connector.metric: A custom task metric.

D

DAGSchedulerEvent - Interface in org.apache.spark.scheduler: Types of events that can be handled by the DAGScheduler.
dapply(Dataset<Row>, byte[], byte[], Object[], StructType) - Static method in class org.apache.spark.sql.api.r.SQLUtils: The helper function for dapply() on R side.
data() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.LaunchTask
data() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.StatusUpdate
data() - Method in class org.apache.spark.storage.ShuffleFetchCompletionListener
Data(double[], double[], double[][]) - Constructor for class org.apache.spark.mllib.classification.NaiveBayesModel.SaveLoadV1_0$.Data
Data(double[], double[], double[][], String) - Constructor for class org.apache.spark.mllib.classification.NaiveBayesModel.SaveLoadV2_0$.Data
Data(int) - Constructor for class org.apache.spark.mllib.feature.ChiSqSelectorModel.SaveLoadV1_0$.Data
Data(Vector, double) - Constructor for class org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0$.Data
Data(Vector, double, Option<Object>) - Constructor for class org.apache.spark.mllib.classification.impl.GLMClassificationModel.SaveLoadV1_0$.Data
DATA_DISTRIBUTION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
Data$() - Constructor for class org.apache.spark.ml.classification.FMClassificationModel.Data$
Data$() - Constructor for class org.apache.spark.ml.classification.LinearSVCModel.Data$
Data$() - Constructor for class org.apache.spark.ml.classification.LogisticRegressionModel.Data$
Data$() - Constructor for class org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.Data$
Data$() - Constructor for class org.apache.spark.ml.classification.NaiveBayesModel.Data$
Data$() - Constructor for class org.apache.spark.ml.clustering.GaussianMixtureModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.ChiSqSelectorModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.ColumnPruner.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.CountVectorizerModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.IDFModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.MaxAbsScalerModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.MinHashLSHModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.MinMaxScalerModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.OneHotEncoderModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.PCAModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.RobustScalerModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.StandardScalerModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.StringIndexerModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.TargetEncoderModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.UnivariateFeatureSelectorModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.VarianceThresholdSelectorModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.VectorAttributeRewriter.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.VectorIndexerModel.Data$
Data$() - Constructor for class org.apache.spark.ml.feature.Word2VecModel.Data$
Data$() - Constructor for class org.apache.spark.ml.regression.AFTSurvivalRegressionModel.Data$
Data$() - Constructor for class org.apache.spark.ml.regression.FMRegressionModel.Data$
Data$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel.Data$
Data$() - Constructor for class org.apache.spark.ml.regression.IsotonicRegressionModel.Data$
Data$() - Constructor for class org.apache.spark.ml.regression.PMMLLinearRegressionModelWriter.Data$
Data$() - Constructor for class org.apache.spark.mllib.classification.impl.GLMClassificationModel.SaveLoadV1_0$.Data$
Data$() - Constructor for class org.apache.spark.mllib.classification.NaiveBayesModel.SaveLoadV1_0$.Data$
Data$() - Constructor for class org.apache.spark.mllib.classification.NaiveBayesModel.SaveLoadV2_0$.Data$
Data$() - Constructor for class org.apache.spark.mllib.feature.ChiSqSelectorModel.SaveLoadV1_0$.Data$
Data$() - Constructor for class org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0$.Data$
database() - Method in class org.apache.spark.sql.catalog.Function
database() - Method in class org.apache.spark.sql.catalog.Table
Database - Class in org.apache.spark.sql.catalog: A database in Spark, as returned by the listDatabases method defined in Catalog.
Database(String, String, String) - Constructor for class org.apache.spark.sql.catalog.Database
Database(String, String, String, String) - Constructor for class org.apache.spark.sql.catalog.Database
databaseExists(String) - Method in class org.apache.spark.sql.catalog.Catalog: Check if the database (namespace) with the specified name exists (the name can be qualified with catalog).
databaseTypeDefinition() - Method in class org.apache.spark.sql.jdbc.JdbcType
DatabricksDialect - Class in org.apache.spark.sql.jdbc
DatabricksDialect() - Constructor for class org.apache.spark.sql.jdbc.DatabricksDialect
dataClass() - Method in class org.apache.spark.ml.param.Param
dataDistribution() - Method in class org.apache.spark.status.api.v1.RDDStorageInfo
DataFrame - Enum constant in enum class org.apache.spark.QueryContextType
DATAFRAME_DAPPLY() - Static method in class org.apache.spark.api.r.RRunnerModes
DATAFRAME_GAPPLY() - Static method in class org.apache.spark.api.r.RRunnerModes
DataFrameNaFunctions - Class in org.apache.spark.sql: Functionality for working with missing data in DataFrames.
DataFrameNaFunctions() - Constructor for class org.apache.spark.sql.DataFrameNaFunctions
DataFrameReader - Class in org.apache.spark.sql: Interface used to load a Dataset from external storage systems (e.g.
DataFrameReader() - Constructor for class org.apache.spark.sql.DataFrameReader
DataFrameStatFunctions - Class in org.apache.spark.sql: Statistic functions for DataFrames.
DataFrameStatFunctions() - Constructor for class org.apache.spark.sql.DataFrameStatFunctions
DataFrameWriter<T> - Class in org.apache.spark.sql: Interface used to write a Dataset to external storage systems (e.g.
DataFrameWriter() - Constructor for class org.apache.spark.sql.DataFrameWriter
DataFrameWriterV2<T> - Class in org.apache.spark.sql: Interface used to write a Dataset to external storage using the v2 API.
DataFrameWriterV2() - Constructor for class org.apache.spark.sql.DataFrameWriterV2
dataset() - Method in class org.apache.spark.ml.FitStart
Dataset<T> - Class in org.apache.spark.sql: A Dataset is a strongly typed collection of domain-specific objects that can be transformed in parallel using functional or relational operations.
Dataset() - Constructor for class org.apache.spark.sql.Dataset
DatasetHolder<T> - Class in org.apache.spark.sql: A container for a Dataset, used for implicit conversions in Scala.
DatasetHolder() - Constructor for class org.apache.spark.sql.DatasetHolder
DatasetUtils - Class in org.apache.spark.ml.util
DatasetUtils() - Constructor for class org.apache.spark.ml.util.DatasetUtils
dataSource() - Method in interface org.apache.spark.ui.PagedTable
DataSourceRegister - Interface in org.apache.spark.sql.sources: Data sources should implement this trait so that they can register an alias to their data source.
DataStreamReader - Class in org.apache.spark.sql.streaming: Interface used to load a streaming Dataset from external storage systems (e.g.
DataStreamReader() - Constructor for class org.apache.spark.sql.streaming.DataStreamReader
DataStreamWriter<T> - Class in org.apache.spark.sql.streaming: Interface used to write a streaming Dataset to external storage systems (e.g.
DataStreamWriter() - Constructor for class org.apache.spark.sql.streaming.DataStreamWriter
dataTablesHeaderNodes(HttpServletRequest) - Static method in class org.apache.spark.ui.UIUtils
dataType() - Method in class org.apache.spark.sql.catalog.Column
dataType() - Method in interface org.apache.spark.sql.connector.catalog.Column: Returns the data type of this table column.
dataType() - Method in interface org.apache.spark.sql.connector.catalog.MetadataColumn: The data type of values in this metadata column.
dataType() - Method in interface org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter: Returns the data type of this parameter.
dataType() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddColumn
dataType() - Method in class org.apache.spark.sql.connector.expressions.Cast
dataType() - Method in class org.apache.spark.sql.connector.expressions.filter.AlwaysFalse
dataType() - Method in class org.apache.spark.sql.connector.expressions.filter.AlwaysTrue
dataType() - Method in interface org.apache.spark.sql.connector.expressions.Literal: Returns the SQL data type of the literal.
dataType() - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

The DataType of the returned value of this UserDefinedAggregateFunction.
dataType() - Method in class org.apache.spark.sql.sources.CollatedEqualNullSafe
dataType() - Method in class org.apache.spark.sql.sources.CollatedEqualTo
dataType() - Method in class org.apache.spark.sql.sources.CollatedFilter
dataType() - Method in class org.apache.spark.sql.sources.CollatedGreaterThan
dataType() - Method in class org.apache.spark.sql.sources.CollatedGreaterThanOrEqual
dataType() - Method in class org.apache.spark.sql.sources.CollatedIn
dataType() - Method in class org.apache.spark.sql.sources.CollatedLessThan
dataType() - Method in class org.apache.spark.sql.sources.CollatedLessThanOrEqual
dataType() - Method in class org.apache.spark.sql.sources.CollatedStringContains
dataType() - Method in class org.apache.spark.sql.sources.CollatedStringEndsWith
dataType() - Method in class org.apache.spark.sql.sources.CollatedStringStartsWith
dataType() - Static method in class org.apache.spark.sql.types.BooleanTypeExpression
dataType() - Static method in class org.apache.spark.sql.types.ByteTypeExpression
dataType() - Static method in class org.apache.spark.sql.types.DateTypeExpression
dataType() - Static method in class org.apache.spark.sql.types.DoubleTypeExpression
dataType() - Static method in class org.apache.spark.sql.types.FloatTypeExpression
dataType() - Static method in class org.apache.spark.sql.types.IntegerTypeExpression
dataType() - Static method in class org.apache.spark.sql.types.LongTypeExpression
dataType() - Static method in class org.apache.spark.sql.types.ShortTypeExpression
dataType() - Method in class org.apache.spark.sql.types.StructField
dataType() - Static method in class org.apache.spark.sql.types.TimestampTypeExpression
dataType() - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the data type of this column vector.
DataType - Class in org.apache.spark.sql.types: The base type of all Spark SQL data types.
DataType() - Constructor for class org.apache.spark.sql.types.DataType
DataTypes - Class in org.apache.spark.sql.types: To get/create specific data type, users should use singleton objects and factory methods provided by this class.
DataTypes() - Constructor for class org.apache.spark.sql.types.DataTypes
DataValidators - Class in org.apache.spark.mllib.util: A collection of methods used to validate data before applying ML algorithms.
DataValidators() - Constructor for class org.apache.spark.mllib.util.DataValidators
DataWriter<T> - Interface in org.apache.spark.sql.connector.write: A data writer returned by DataWriterFactory.createWriter(int, long) and is responsible for writing data for an input RDD partition.
DataWriterFactory - Interface in org.apache.spark.sql.connector.write: A factory of DataWriter returned by BatchWrite.createBatchWriterFactory(PhysicalWriteInfo), which is responsible for creating and initializing the actual data writer at executor side.
date() - Method in class org.apache.spark.sql.ColumnName: Creates a new StructField of type date.
DATE() - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable date type.
date_add(Column, int) - Static method in class org.apache.spark.sql.functions: Returns the date that is days days after start
date_add(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the date that is days days after start
date_diff(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the number of days from start to end.
date_format(Column, String) - Static method in class org.apache.spark.sql.functions: Converts a date/timestamp/string to a value of string in the format specified by the date format given by the second argument.
date_from_unix_date(Column) - Static method in class org.apache.spark.sql.functions: Create date from the number of days since 1970-01-01.
date_part(Column, Column) - Static method in class org.apache.spark.sql.functions: Extracts a part of the date/timestamp or interval source.
date_sub(Column, int) - Static method in class org.apache.spark.sql.functions: Returns the date that is days days before start
date_sub(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the date that is days days before start
date_trunc(String, Column) - Static method in class org.apache.spark.sql.functions: Returns timestamp truncated to the unit specified by the format.
dateadd(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the date that is days days after start
datediff(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the number of days from start to end.
datepart(Column, Column) - Static method in class org.apache.spark.sql.functions: Extracts a part of the date/timestamp or interval source.
DateType - Class in org.apache.spark.sql.types: The date type represents a valid date in the proleptic Gregorian calendar.
DateType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the DateType object.
DateType() - Constructor for class org.apache.spark.sql.types.DateType
DateTypeExpression - Class in org.apache.spark.sql.types
DateTypeExpression() - Constructor for class org.apache.spark.sql.types.DateTypeExpression
day(Column) - Static method in class org.apache.spark.sql.functions: Extracts the day of the month as an integer from a given date/timestamp/string.
DAY() - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
dayname(Column) - Static method in class org.apache.spark.sql.functions: Extracts the three-letter abbreviated day name from a given date/timestamp/string.
dayofmonth(Column) - Static method in class org.apache.spark.sql.functions: Extracts the day of the month as an integer from a given date/timestamp/string.
dayofweek(Column) - Static method in class org.apache.spark.sql.functions: Extracts the day of the week as an integer from a given date/timestamp/string.
dayofyear(Column) - Static method in class org.apache.spark.sql.functions: Extracts the day of the year as an integer from a given date/timestamp/string.
days - Variable in class org.apache.spark.unsafe.types.CalendarInterval
days(String) - Static method in class org.apache.spark.sql.connector.expressions.Expressions: Create a daily transform for a timestamp or date column.
days(Column) - Static method in class org.apache.spark.sql.functions: (Java-specific) A transform for timestamps and dates to partition data into days.
days(Column) - Method in class org.apache.spark.sql.functions.partitioning$: (Scala-specific) A transform for timestamps and dates to partition data into days.
days(NamedReference) - Static method in class org.apache.spark.sql.connector.expressions.LogicalExpressions
dayTimeFields() - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
DayTimeIntervalType - Class in org.apache.spark.sql.types: The type represents day-time intervals of the SQL standard.
DayTimeIntervalType(byte, byte) - Constructor for class org.apache.spark.sql.types.DayTimeIntervalType
DB2Dialect - Class in org.apache.spark.sql.jdbc
DB2Dialect() - Constructor for class org.apache.spark.sql.jdbc.DB2Dialect
DB2Dialect.DB2SQLBuilder - Class in org.apache.spark.sql.jdbc
DB2Dialect.DB2SQLQueryBuilder - Class in org.apache.spark.sql.jdbc
DB2SQLBuilder() - Constructor for class org.apache.spark.sql.jdbc.DB2Dialect.DB2SQLBuilder
DB2SQLQueryBuilder(JdbcDialect, JDBCOptions) - Constructor for class org.apache.spark.sql.jdbc.DB2Dialect.DB2SQLQueryBuilder
DCT - Class in org.apache.spark.ml.feature: A feature transformer that takes the 1D discrete cosine transform of a real vector.
DCT() - Constructor for class org.apache.spark.ml.feature.DCT
DCT(String) - Constructor for class org.apache.spark.ml.feature.DCT
deallocate() - Method in class org.apache.spark.storage.ReadableChannelFileRegion
DEBUG() - Static method in class org.apache.spark.ErrorMessageFormat
decayFactor() - Method in class org.apache.spark.mllib.clustering.StreamingKMeans
decimal() - Method in class org.apache.spark.sql.ColumnName: Creates a new StructField of type decimal.
decimal(int, int) - Method in class org.apache.spark.sql.ColumnName: Creates a new StructField of type decimal.
Decimal - Class in org.apache.spark.sql.types: A mutable implementation of BigDecimal that can hold a Long if values are small enough.
Decimal() - Constructor for class org.apache.spark.sql.types.Decimal
DECIMAL() - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable decimal type.
Decimal.DecimalAsIfIntegral$ - Class in org.apache.spark.sql.types: A Integral evidence parameter for Decimals.
Decimal.DecimalIsConflicted - Interface in org.apache.spark.sql.types: Common methods for Decimal evidence parameters
Decimal.DecimalIsFractional$ - Class in org.apache.spark.sql.types: A Fractional evidence parameter for Decimals.
DecimalAsIfIntegral$() - Constructor for class org.apache.spark.sql.types.Decimal.DecimalAsIfIntegral$
DecimalExactNumeric - Class in org.apache.spark.sql.types
DecimalExactNumeric() - Constructor for class org.apache.spark.sql.types.DecimalExactNumeric
DecimalExpression - Class in org.apache.spark.sql.types
DecimalExpression() - Constructor for class org.apache.spark.sql.types.DecimalExpression
DecimalIsFractional$() - Constructor for class org.apache.spark.sql.types.Decimal.DecimalIsFractional$
DecimalType - Class in org.apache.spark.sql.types: The data type representing java.math.BigDecimal values.
DecimalType() - Constructor for class org.apache.spark.sql.types.DecimalType
DecimalType(int) - Constructor for class org.apache.spark.sql.types.DecimalType
DecimalType(int, int) - Constructor for class org.apache.spark.sql.types.DecimalType
DecimalType.Fixed$ - Class in org.apache.spark.sql.types
DecisionTree - Class in org.apache.spark.mllib.tree: A class which implements a decision tree learning algorithm for classification and regression.
DecisionTree(Strategy) - Constructor for class org.apache.spark.mllib.tree.DecisionTree
DecisionTreeClassificationModel - Class in org.apache.spark.ml.classification: Decision tree model (http://en.wikipedia.org/wiki/Decision_tree_learning) for classification.
DecisionTreeClassifier - Class in org.apache.spark.ml.classification: Decision tree learning algorithm (http://en.wikipedia.org/wiki/Decision_tree_learning) for classification.
DecisionTreeClassifier() - Constructor for class org.apache.spark.ml.classification.DecisionTreeClassifier
DecisionTreeClassifier(String) - Constructor for class org.apache.spark.ml.classification.DecisionTreeClassifier
DecisionTreeClassifierParams - Interface in org.apache.spark.ml.tree
DecisionTreeModel - Class in org.apache.spark.mllib.tree.model: Decision tree model for classification or regression.
DecisionTreeModel - Interface in org.apache.spark.ml.tree: Abstraction for Decision Tree models.
DecisionTreeModel(Node, Enumeration.Value) - Constructor for class org.apache.spark.mllib.tree.model.DecisionTreeModel
DecisionTreeModel.SaveLoadV1_0$ - Class in org.apache.spark.mllib.tree.model
DecisionTreeModel.SaveLoadV1_0$.NodeData - Class in org.apache.spark.mllib.tree.model: Model data for model import/export
DecisionTreeModel.SaveLoadV1_0$.NodeData$ - Class in org.apache.spark.mllib.tree.model
DecisionTreeModel.SaveLoadV1_0$.PredictData - Class in org.apache.spark.mllib.tree.model
DecisionTreeModel.SaveLoadV1_0$.PredictData$ - Class in org.apache.spark.mllib.tree.model
DecisionTreeModel.SaveLoadV1_0$.SplitData - Class in org.apache.spark.mllib.tree.model
DecisionTreeModel.SaveLoadV1_0$.SplitData$ - Class in org.apache.spark.mllib.tree.model
DecisionTreeModelReadWrite - Class in org.apache.spark.ml.tree: Helper classes for tree model persistence
DecisionTreeModelReadWrite() - Constructor for class org.apache.spark.ml.tree.DecisionTreeModelReadWrite
DecisionTreeModelReadWrite.NodeData - Class in org.apache.spark.ml.tree: Info for a Node
DecisionTreeModelReadWrite.NodeData$ - Class in org.apache.spark.ml.tree
DecisionTreeModelReadWrite.SplitData - Class in org.apache.spark.ml.tree: Info for a Split
DecisionTreeModelReadWrite.SplitData$ - Class in org.apache.spark.ml.tree
DecisionTreeParams - Interface in org.apache.spark.ml.tree: Parameters for Decision Tree-based algorithms.
DecisionTreeRegressionModel - Class in org.apache.spark.ml.regression: Decision tree (Wikipedia) model for regression.
DecisionTreeRegressor - Class in org.apache.spark.ml.regression: Decision tree learning algorithm for regression.
DecisionTreeRegressor() - Constructor for class org.apache.spark.ml.regression.DecisionTreeRegressor
DecisionTreeRegressor(String) - Constructor for class org.apache.spark.ml.regression.DecisionTreeRegressor
DecisionTreeRegressorParams - Interface in org.apache.spark.ml.tree
decode(Column, String) - Static method in class org.apache.spark.sql.functions: Computes the first argument into a string from a binary using the provided character set (one of 'US-ASCII', 'ISO-8859-1', 'UTF-8', 'UTF-16BE', 'UTF-16LE', 'UTF-16', 'UTF-32').
decodeFileNameInURI(URI) - Static method in class org.apache.spark.util.Utils: Get the file name from uri's raw path and decode it.
decodeStructField(StructField, boolean) - Method in interface org.apache.spark.ml.attribute.AttributeFactory: Creates an Attribute from a StructField instance, optionally preserving name.
decodeURLParameter(MultivaluedMap<String, String>) - Static method in class org.apache.spark.ui.UIUtils: Decode URLParameter if URL is encoded by YARN-WebAppProxyServlet.
decodeURLParameter(String) - Static method in class org.apache.spark.ui.UIUtils: Decode URLParameter if URL is encoded by YARN-WebAppProxyServlet.
DecommissionBlockManager$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.DecommissionBlockManager$
DecommissionBlockManagers(Seq<String>) - Constructor for class org.apache.spark.storage.BlockManagerMessages.DecommissionBlockManagers
DecommissionBlockManagers$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.DecommissionBlockManagers$
DecommissionExecutor$() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.DecommissionExecutor$
DecommissionExecutorsOnHost(String) - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.DecommissionExecutorsOnHost
DecommissionExecutorsOnHost$() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.DecommissionExecutorsOnHost$
decommissionFinished() - Static method in class org.apache.spark.scheduler.ExecutorLossMessage
DECREASING_RUNTIME - Enum constant in enum class org.apache.spark.status.api.v1.TaskSorting
DEFAULT() - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
DEFAULT() - Static method in class org.apache.spark.sql.types.YearMonthIntervalType
DEFAULT_DRIVER_MEM_MB() - Static method in class org.apache.spark.util.Utils: Define a default value for driver memory here since this value is referenced across the code base and nearly all files already use Utils.scala
DEFAULT_NUM_OUTPUT_ROWS() - Static method in class org.apache.spark.sql.streaming.SinkProgress
DEFAULT_NUMBER_EXECUTORS() - Static method in class org.apache.spark.scheduler.cluster.SchedulerBackendUtils
DEFAULT_PRECISION() - Static method in class org.apache.spark.sql.types.TimeType
DEFAULT_RESOURCE_PROFILE_ID() - Static method in class org.apache.spark.resource.ResourceProfile
DEFAULT_SCALE() - Static method in class org.apache.spark.sql.types.DecimalType
DEFAULT_SHUTDOWN_PRIORITY() - Static method in class org.apache.spark.util.ShutdownHookManager
DEFAULT_SRID - Static variable in class org.apache.spark.sql.types.Geography
DEFAULT_SRID - Static variable in class org.apache.spark.sql.types.Geometry
defaultAttr() - Static method in class org.apache.spark.ml.attribute.BinaryAttribute: The default binary attribute.
defaultAttr() - Static method in class org.apache.spark.ml.attribute.NominalAttribute: The default nominal attribute.
defaultAttr() - Static method in class org.apache.spark.ml.attribute.NumericAttribute: The default numeric attribute.
defaultCopy(ParamMap) - Method in interface org.apache.spark.ml.param.Params: Default implementation of copy with extra params.
defaultCorrName() - Static method in class org.apache.spark.mllib.stat.correlation.CorrelationNames
DefaultCredentials - Class in org.apache.spark.streaming.kinesis: Returns DefaultCredentialsProvider for authentication.
DefaultCredentials() - Constructor for class org.apache.spark.streaming.kinesis.DefaultCredentials
defaultLink() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Binomial$
defaultLink() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gamma$
defaultLink() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gaussian$
defaultLink() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Poisson$
defaultMinPartitions() - Method in class org.apache.spark.api.java.JavaSparkContext: Default min number of partitions for Hadoop RDDs when not given by user
defaultMinPartitions() - Method in class org.apache.spark.SparkContext: Default min number of partitions for Hadoop RDDs when not given by user Notice that we use math.min so the "defaultMinPartitions" cannot be higher than 2.
defaultModuleOptionArray() - Static method in class org.apache.spark.launcher.JavaModuleOptions: Returns the default JVM runtime option array used by Spark.
defaultModuleOptions() - Static method in class org.apache.spark.launcher.JavaModuleOptions: Returns the default JVM runtime options used by Spark.
defaultNamespace() - Method in interface org.apache.spark.sql.connector.catalog.CatalogPlugin: Return a default namespace for the catalog.
defaultNamespace() - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
defaultNullOrdering() - Method in enum class org.apache.spark.sql.connector.expressions.SortDirection: Returns the default null ordering to use if no null ordering is specified explicitly.
defaultParallelism() - Method in class org.apache.spark.api.java.JavaSparkContext: Default level of parallelism to use when not given by user (e.g.
defaultParallelism() - Method in interface org.apache.spark.scheduler.SchedulerBackend
defaultParallelism() - Method in interface org.apache.spark.scheduler.TaskScheduler
defaultParallelism() - Method in class org.apache.spark.SparkContext: Default level of parallelism to use when not given by user (e.g.
defaultParamMap() - Method in interface org.apache.spark.ml.param.Params: Internal param map for default values.
defaultParams(String) - Static method in class org.apache.spark.mllib.tree.configuration.BoostingStrategy: Returns default configuration for the boosting algorithm
defaultParams(Enumeration.Value) - Static method in class org.apache.spark.mllib.tree.configuration.BoostingStrategy: Returns default configuration for the boosting algorithm
DefaultParamsReadable<T> - Interface in org.apache.spark.ml.util: Helper trait for making simple Params types readable.
DefaultParamsWritable - Interface in org.apache.spark.ml.util: Helper trait for making simple Params types writable.
DefaultPartitionCoalescer - Class in org.apache.spark.rdd: Coalesce the partitions of a parent RDD (prev) into fewer partitions, so that each partition of this RDD computes one or more of the parent ones.
DefaultPartitionCoalescer(double) - Constructor for class org.apache.spark.rdd.DefaultPartitionCoalescer
DefaultPartitionCoalescer.partitionGroupOrdering$ - Class in org.apache.spark.rdd
defaultPartitioner(RDD<?>, Seq<RDD<?>>) - Static method in class org.apache.spark.Partitioner: Choose a partitioner to use for a cogroup-like operation between a number of RDDs.
DefaultProfileExecutorResources$() - Constructor for class org.apache.spark.resource.ResourceProfile.DefaultProfileExecutorResources$
defaultSize() - Method in class org.apache.spark.sql.types.ArrayType: The default size of a value of the ArrayType is the default size of the element type.
defaultSize() - Method in class org.apache.spark.sql.types.BinaryType: The default size of a value of the BinaryType is 100 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.BooleanType: The default size of a value of the BooleanType is 1 byte.
defaultSize() - Method in class org.apache.spark.sql.types.ByteType: The default size of a value of the ByteType is 1 byte.
defaultSize() - Method in class org.apache.spark.sql.types.CalendarIntervalType
defaultSize() - Method in class org.apache.spark.sql.types.CharType
defaultSize() - Method in class org.apache.spark.sql.types.DataType: The default size of a value of this data type, used internally for size estimation.
defaultSize() - Method in class org.apache.spark.sql.types.DateType: The default size of a value of the DateType is 4 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.DayTimeIntervalType: The day-time interval type has constant precision.
defaultSize() - Method in class org.apache.spark.sql.types.DecimalType: The default size of a value of the DecimalType is 8 bytes when precision is at most 18, and 16 bytes otherwise.
defaultSize() - Method in class org.apache.spark.sql.types.DoubleType: The default size of a value of the DoubleType is 8 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.FloatType: The default size of a value of the FloatType is 4 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.GeographyType: The default size of a value of the GeographyType is 2048 bytes, which can store roughly 120 2D points.
defaultSize() - Method in class org.apache.spark.sql.types.GeometryType: The default size of a value of the GeometryType is 2048 bytes, which can store roughly 120 2D points.
defaultSize() - Static method in class org.apache.spark.sql.types.IndeterminateStringType
defaultSize() - Method in class org.apache.spark.sql.types.IntegerType: The default size of a value of the IntegerType is 4 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.LongType: The default size of a value of the LongType is 8 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.MapType: The default size of a value of the MapType is (the default size of the key type + the default size of the value type).
defaultSize() - Method in class org.apache.spark.sql.types.NullType
defaultSize() - Method in class org.apache.spark.sql.types.ObjectType
defaultSize() - Method in class org.apache.spark.sql.types.ShortType: The default size of a value of the ShortType is 2 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.StringType: The default size of a value of the StringType is 20 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.StructType: The default size of a value of the StructType is the total default sizes of all field types.
defaultSize() - Method in class org.apache.spark.sql.types.TimestampNTZType: The default size of a value of the TimestampNTZType is 8 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.TimestampType: The default size of a value of the TimestampType is 8 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.TimeType: The default size of a value of the TimeType is 8 bytes.
defaultSize() - Method in class org.apache.spark.sql.types.UserDefinedType
defaultSize() - Method in class org.apache.spark.sql.types.VarcharType
defaultSize() - Method in class org.apache.spark.sql.types.VariantType
defaultSize() - Method in class org.apache.spark.sql.types.YearMonthIntervalType: Year-month interval values always occupy 4 bytes.
defaultStrategy(String) - Static method in class org.apache.spark.mllib.tree.configuration.Strategy: Construct a default set of parameters for DecisionTree
defaultStrategy(Enumeration.Value) - Static method in class org.apache.spark.mllib.tree.configuration.Strategy: Construct a default set of parameters for DecisionTree
DefaultTopologyMapper - Class in org.apache.spark.storage: A TopologyMapper that assumes all nodes are in the same rack
DefaultTopologyMapper(SparkConf) - Constructor for class org.apache.spark.storage.DefaultTopologyMapper
defaultValue() - Method in interface org.apache.spark.sql.connector.catalog.Column: Returns the default value of this table column.
defaultValue() - Method in interface org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter: Returns the SQL string (Spark SQL dialect) of the default value expression of this parameter or null if not provided.
defaultValue() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddColumn
defaultValue(String) - Method in class org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter.Builder: Sets the default value of the parameter using SQL.
defaultValue(DefaultValue) - Method in class org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter.Builder: Sets the default value of the parameter.
defaultValue(Expression) - Method in class org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter.Builder: Sets the default value of the parameter using an expression.
DefaultValue - Class in org.apache.spark.sql.connector.catalog: A class that represents default values.
DefaultValue(String) - Constructor for class org.apache.spark.sql.connector.catalog.DefaultValue
DefaultValue(String, Expression) - Constructor for class org.apache.spark.sql.connector.catalog.DefaultValue
DefaultValue(Expression) - Constructor for class org.apache.spark.sql.connector.catalog.DefaultValue
degree() - Method in class org.apache.spark.ml.feature.PolynomialExpansion: The polynomial degree to expand, which should be greater than equal to 1.
degrees() - Method in class org.apache.spark.graphx.GraphOps
degrees(String) - Static method in class org.apache.spark.sql.functions: Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
degrees(Column) - Static method in class org.apache.spark.sql.functions: Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
degreesOfFreedom() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionSummary
degreesOfFreedom() - Method in class org.apache.spark.ml.regression.LinearRegressionSummary: Degrees of freedom
degreesOfFreedom() - Method in class org.apache.spark.mllib.stat.test.ChiSqTestResult
degreesOfFreedom() - Method in class org.apache.spark.mllib.stat.test.KolmogorovSmirnovTestResult
degreesOfFreedom() - Method in interface org.apache.spark.mllib.stat.test.TestResult: Returns the degree(s) of freedom of the hypothesis test.
delegate() - Method in class org.apache.spark.ContextAwareIterator: Deprecated.
delegate() - Method in class org.apache.spark.InterruptibleIterator
DelegatingCatalogExtension - Class in org.apache.spark.sql.connector.catalog: A simple implementation of CatalogExtension, which implements all the catalog functions by calling the built-in session catalog directly.
DelegatingCatalogExtension() - Constructor for class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
delegationTokensRequired(SparkConf, Configuration) - Method in interface org.apache.spark.security.HadoopDelegationTokenProvider: Returns true if delegation tokens are required for this service.
delete() - Method in class org.apache.spark.sql.WhenMatched: Specifies an action to delete matched rows from the DataFrame.
delete() - Method in class org.apache.spark.sql.WhenNotMatchedBySource: Specifies an action to delete non-matched rows from the target DataFrame when not matched by the source.
delete(T, T) - Method in interface org.apache.spark.sql.connector.write.DeltaWriter: Deletes a row.
DELETE - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableWritePrivilege: The privilege for deleting rows from the table.
DELETE - Enum constant in enum class org.apache.spark.sql.connector.write.RowLevelOperation.Command
deleteCheckpointFiles() - Method in class org.apache.spark.ml.clustering.DistributedLDAModel: Remove any remaining checkpoint files from training.
deleteColumn(String[], Boolean) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for deleting a field.
deleteIfExists(String) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: Function to delete and purge state variable if defined previously
deleteQuietly(File) - Method in interface org.apache.spark.util.SparkFileUtils: Delete a file or directory and its contents recursively without throwing exceptions.
deleteQuietly(File) - Static method in class org.apache.spark.util.Utils
deleteRecursively(File) - Method in interface org.apache.spark.util.SparkFileUtils: Delete a file or directory and its contents recursively.
deleteRecursively(File) - Static method in class org.apache.spark.util.Utils: Delete a file or directory and its contents recursively.
deleteState(String, K) - Method in class org.apache.spark.sql.streaming.TwsTester: Deletes state for a given key.
deleteTimer(long) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: Function to delete a processing/event time based timer for given implicit grouping key and provided timestamp
deleteWhere(Predicate[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsDelete
deleteWhere(Predicate[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsDeleteV2: Delete data from a data source table that matches filter expressions.
deleteWhere(Filter[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsDelete: Delete data from a data source table that matches filter expressions.
delta() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Tweedie$: Constant used in initialization and deviance to avoid numerical issues.
DeltaBatchWrite - Interface in org.apache.spark.sql.connector.write: An interface that defines how to write a delta of rows during batch processing.
DeltaWrite - Interface in org.apache.spark.sql.connector.write: A logical representation of a data source write that handles a delta of rows.
DeltaWriteBuilder - Interface in org.apache.spark.sql.connector.write: An interface for building a DeltaWrite.
DeltaWriter<T> - Interface in org.apache.spark.sql.connector.write: A data writer returned by DeltaWriterFactory.createWriter(int, long) and is responsible for writing a delta of rows.
DeltaWriterFactory - Interface in org.apache.spark.sql.connector.write: A factory for creating DeltaWriters returned by DeltaBatchWrite.createBatchWriterFactory(PhysicalWriteInfo), which is responsible for creating and initializing writers at the executor side.
dense(double[]) - Static method in class org.apache.spark.ml.linalg.Vectors: Creates a dense vector from a double array.
dense(double[]) - Static method in class org.apache.spark.mllib.linalg.Vectors: Creates a dense vector from a double array.
dense(double, double...) - Static method in class org.apache.spark.ml.linalg.Vectors: Creates a dense vector from its values.
dense(double, double...) - Static method in class org.apache.spark.mllib.linalg.Vectors: Creates a dense vector from its values.
dense(double, Seq<Object>) - Static method in class org.apache.spark.ml.linalg.Vectors: Creates a dense vector from its values.
dense(double, Seq<Object>) - Static method in class org.apache.spark.mllib.linalg.Vectors: Creates a dense vector from its values.
dense(int, int, double[]) - Static method in class org.apache.spark.ml.linalg.Matrices: Creates a column-major dense matrix.
dense(int, int, double[]) - Static method in class org.apache.spark.mllib.linalg.Matrices: Creates a column-major dense matrix.
dense_rank() - Static method in class org.apache.spark.sql.functions: Window function: returns the rank of rows within a window partition, without any gaps.
DenseMatrix - Class in org.apache.spark.ml.linalg: Column-major dense matrix.
DenseMatrix - Class in org.apache.spark.mllib.linalg: Column-major dense matrix.
DenseMatrix(int, int, double[]) - Constructor for class org.apache.spark.ml.linalg.DenseMatrix: Column-major dense matrix.
DenseMatrix(int, int, double[]) - Constructor for class org.apache.spark.mllib.linalg.DenseMatrix: Column-major dense matrix.
DenseMatrix(int, int, double[], boolean) - Constructor for class org.apache.spark.ml.linalg.DenseMatrix
DenseMatrix(int, int, double[], boolean) - Constructor for class org.apache.spark.mllib.linalg.DenseMatrix
DenseVector - Class in org.apache.spark.ml.linalg: A dense vector represented by a value array.
DenseVector - Class in org.apache.spark.mllib.linalg: A dense vector represented by a value array.
DenseVector(double[]) - Constructor for class org.apache.spark.ml.linalg.DenseVector
DenseVector(double[]) - Constructor for class org.apache.spark.mllib.linalg.DenseVector
dependencies() - Method in class org.apache.spark.rdd.RDD: Get the list of dependencies of this RDD, taking into account whether the RDD is checkpointed or not.
dependencies() - Method in class org.apache.spark.streaming.dstream.DStream: List of parent DStreams on which this DStream depends on
dependencies() - Method in class org.apache.spark.streaming.dstream.InputDStream
Dependency<T> - Class in org.apache.spark: :: DeveloperApi :: Base class for dependencies.
Dependency() - Constructor for class org.apache.spark.Dependency
DependencyUtils - Class in org.apache.spark.util
DependencyUtils() - Constructor for class org.apache.spark.util.DependencyUtils
DEPLOY_MODE - Static variable in class org.apache.spark.launcher.SparkLauncher: The Spark deploy mode.
deployMode() - Method in class org.apache.spark.SparkContext
DEPRECATED_CHILD_CONNECTION_TIMEOUT - Static variable in class org.apache.spark.launcher.SparkLauncher: Deprecated.
use `CHILD_CONNECTION_TIMEOUT`
depth() - Method in class org.apache.spark.ml.classification.DecisionTreeClassificationModel
depth() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressionModel
depth() - Method in interface org.apache.spark.ml.tree.DecisionTreeModel: Depth of the tree.
depth() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel: Get depth of tree.
depth() - Method in class org.apache.spark.util.sketch.CountMinSketch: Depth of this CountMinSketch.
depth() - Method in exception org.apache.spark.util.Utils.TryStackTraceWrapper
DerbyDialect - Class in org.apache.spark.sql.jdbc
DerbyDialect() - Constructor for class org.apache.spark.sql.jdbc.DerbyDialect
deriv(double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.CLogLog$
deriv(double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Identity$
deriv(double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Inverse$
deriv(double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Log$
deriv(double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Logit$
deriv(double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Probit$
deriv(double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Sqrt$
derivative() - Method in interface org.apache.spark.ml.ann.ActivationFunction: Implements a derivative of a function (needed for the back propagation)
desc() - Method in class org.apache.spark.serializer.SerializationDebugger.ObjectStreamClassMethods
desc() - Method in class org.apache.spark.sql.Column: Returns a sort expression based on the descending order of the column.
desc() - Method in class org.apache.spark.util.MethodIdentifier
desc(String) - Static method in class org.apache.spark.sql.functions: Returns a sort expression based on the descending order of the column.
DESC_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
DESC_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
desc_nulls_first() - Method in class org.apache.spark.sql.Column: Returns a sort expression based on the descending order of the column, and null values appear before non-null values.
desc_nulls_first(String) - Static method in class org.apache.spark.sql.functions: Returns a sort expression based on the descending order of the column, and null values appear before non-null values.
desc_nulls_last() - Method in class org.apache.spark.sql.Column: Returns a sort expression based on the descending order of the column, and null values appear after non-null values.
desc_nulls_last(String) - Static method in class org.apache.spark.sql.functions: Returns a sort expression based on the descending order of the column, and null values appear after non-null values.
DESCENDING - Enum constant in enum class org.apache.spark.sql.connector.expressions.SortDirection
describe() - Method in interface org.apache.spark.sql.connector.expressions.Expression: Format the expression as a human readable SQL-like string.
describe(String...) - Method in class org.apache.spark.sql.Dataset: Computes basic statistics for numeric and string columns, including count, mean, stddev, min, and max.
describe(Seq<String>) - Method in class org.apache.spark.sql.Dataset: Computes basic statistics for numeric and string columns, including count, mean, stddev, min, and max.
describeTopics() - Method in class org.apache.spark.ml.clustering.LDAModel
describeTopics() - Method in class org.apache.spark.mllib.clustering.LDAModel: Return the topics described by weighted terms.
describeTopics(int) - Method in class org.apache.spark.ml.clustering.LDAModel: Return the topics described by their top-weighted terms.
describeTopics(int) - Method in class org.apache.spark.mllib.clustering.DistributedLDAModel
describeTopics(int) - Method in class org.apache.spark.mllib.clustering.LDAModel: Return the topics described by weighted terms.
describeTopics(int) - Method in class org.apache.spark.mllib.clustering.LocalLDAModel
description() - Method in class org.apache.spark.ErrorStateInfo
description() - Method in class org.apache.spark.ExceptionFailure
description() - Method in class org.apache.spark.sql.catalog.CatalogMetadata
description() - Method in class org.apache.spark.sql.catalog.Column
description() - Method in class org.apache.spark.sql.catalog.Database
description() - Method in class org.apache.spark.sql.catalog.Function
description() - Method in class org.apache.spark.sql.catalog.Table
description() - Method in interface org.apache.spark.sql.connector.catalog.functions.UnboundFunction: Returns Function documentation.
description() - Method in interface org.apache.spark.sql.connector.catalog.procedures.Procedure: Returns the description of this procedure.
description() - Method in interface org.apache.spark.sql.connector.metric.CustomMetric: Returns the description of custom metric.
description() - Method in interface org.apache.spark.sql.connector.read.Scan: A description string of this scan, which may includes information like: what filters are configured for this scan, what's the value of some important options like path, etc.
description() - Method in interface org.apache.spark.sql.connector.write.RowLevelOperation: Returns the description associated with this row-level operation.
description() - Method in interface org.apache.spark.sql.connector.write.Write: Returns the description associated with this write.
description() - Method in class org.apache.spark.sql.streaming.SinkProgress
description() - Method in class org.apache.spark.sql.streaming.SourceProgress
description() - Method in class org.apache.spark.status.api.v1.JobData
description() - Method in class org.apache.spark.status.api.v1.sql.ExecutionData
description() - Method in class org.apache.spark.status.api.v1.StageData
description() - Method in class org.apache.spark.status.api.v1.streaming.OutputOperationInfo
description() - Method in class org.apache.spark.status.LiveStage
description() - Method in class org.apache.spark.storage.StorageLevel
description() - Method in class org.apache.spark.streaming.scheduler.OutputOperationInfo
DESCRIPTION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.JobData
DESCRIPTION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
DESCRIPTION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
DESCRIPTION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
DESCRIPTION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
DESER_CPU_TIME() - Static method in class org.apache.spark.status.TaskIndexNames
DESER_TIME() - Static method in class org.apache.spark.status.TaskIndexNames
DeserializationStream - Class in org.apache.spark.serializer: :: DeveloperApi :: A stream for reading serialized objects.
DeserializationStream() - Constructor for class org.apache.spark.serializer.DeserializationStream
deserialize(byte[]) - Method in interface org.apache.spark.status.protobuf.ProtobufSerDe: Deserialize the input Array[Byte] to an object of the type T.
deserialize(byte[]) - Method in interface org.apache.spark.util.SparkSerDeUtils: Deserialize an object using Java serialization
deserialize(byte[]) - Static method in class org.apache.spark.util.Utils
deserialize(byte[], ClassLoader) - Method in interface org.apache.spark.util.SparkSerDeUtils: Deserialize an object using Java serialization and the given ClassLoader
deserialize(byte[], ClassLoader) - Static method in class org.apache.spark.util.Utils
deserialize(JsonParser, DeserializationContext) - Method in class org.apache.spark.sql.streaming.ObjectToStringDeserializer
deserialize(Object) - Method in class org.apache.spark.mllib.linalg.VectorUDT
deserialize(Object) - Method in class org.apache.spark.sql.types.UserDefinedType: Convert a SQL datum to the user type
deserialize(ByteBuffer, ClassLoader, ClassTag<T>) - Method in class org.apache.spark.serializer.DummySerializerInstance
deserialize(ByteBuffer, ClassLoader, ClassTag<T>) - Method in class org.apache.spark.serializer.SerializerInstance
deserialize(ByteBuffer, ClassTag<T>) - Method in class org.apache.spark.serializer.DummySerializerInstance
deserialize(ByteBuffer, ClassTag<T>) - Method in class org.apache.spark.serializer.SerializerInstance
deserialize(List<StoreTypes.AccumulableInfo>) - Static method in class org.apache.spark.status.protobuf.AccumulableInfoSerializer
deserialize(StoreTypes.DeterministicLevel) - Static method in class org.apache.spark.status.protobuf.DeterministicLevelSerializer
deserialize(StoreTypes.ExecutorMetrics) - Static method in class org.apache.spark.status.protobuf.ExecutorMetricsSerializer
deserialize(StoreTypes.ExecutorStageSummary) - Static method in class org.apache.spark.status.protobuf.ExecutorStageSummarySerializer
deserialize(StoreTypes.JobExecutionStatus) - Static method in class org.apache.spark.status.protobuf.JobExecutionStatusSerializer
deserialize(StoreTypes.SinkProgress) - Static method in class org.apache.spark.status.protobuf.sql.SinkProgressSerializer
deserialize(StoreTypes.SQLPlanMetric) - Static method in class org.apache.spark.status.protobuf.sql.SQLPlanMetricSerializer
deserialize(StoreTypes.StageStatus) - Static method in class org.apache.spark.status.protobuf.StageStatusSerializer
deserialize(StoreTypes.StreamingQueryProgress) - Static method in class org.apache.spark.status.protobuf.sql.StreamingQueryProgressSerializer
deserialized() - Method in class org.apache.spark.storage.StorageLevel
DESERIALIZED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
DeserializedMemoryEntry<T> - Class in org.apache.spark.storage.memory
DeserializedMemoryEntry(Object, long, MemoryMode, ClassTag<T>) - Constructor for class org.apache.spark.storage.memory.DeserializedMemoryEntry
deserializeDoubleArray(DataInputStream) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
DeserializedValuesHolder<T> - Class in org.apache.spark.storage.memory: A holder for storing the deserialized values.
DeserializedValuesHolder(ClassTag<T>, MemoryMode) - Constructor for class org.apache.spark.storage.memory.DeserializedValuesHolder
deserializeFloatArray(DataInputStream) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeFromChunkedBuffer(SerializerInstance, ChunkedByteBuffer, ClassTag<T>) - Static method in class org.apache.spark.serializer.SerializerHelper
deserializeGenericArray(DataInputStream, Function1<DataInputStream, T>, ClassTag<T>) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeIntArray(DataInputStream) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeLongArray(DataInputStream) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeLongValue(byte[]) - Static method in class org.apache.spark.util.Utils: Deserialize a Long value (used for PythonPartitioner)
deserializeMap(DataInputStream, Function1<DataInputStream, K>, Function1<DataInputStream, V>) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeMatrix(DataInputStream) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeOffset(String) - Method in interface org.apache.spark.sql.connector.read.streaming.SparkDataStream: Deserialize a JSON string into an Offset of the implementation-defined offset type.
deserializeStream(InputStream) - Method in class org.apache.spark.serializer.DummySerializerInstance
deserializeStream(InputStream) - Method in class org.apache.spark.serializer.SerializerInstance
deserializeStringArray(DataInputStream) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeToArray(List<StoreTypes.SourceProgress>) - Static method in class org.apache.spark.status.protobuf.sql.SourceProgressSerializer
deserializeToArray(List<StoreTypes.StateOperatorProgress>) - Static method in class org.apache.spark.status.protobuf.sql.StateOperatorProgressSerializer
deserializeVector(DataInputStream) - Static method in class org.apache.spark.ml.util.ReadWriteUtils
deserializeViaNestedStream(InputStream, SerializerInstance, Function1<DeserializationStream, BoxedUnit>) - Static method in class org.apache.spark.util.Utils: Deserialize via nested stream using specific serializer
destroy() - Method in class org.apache.spark.broadcast.Broadcast: Destroy all data and metadata related to this broadcast variable.
details() - Method in class org.apache.spark.scheduler.StageInfo
details() - Method in class org.apache.spark.status.api.v1.StageData
DETAILS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
DETAILS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
detailsUINode(boolean, String) - Static method in class org.apache.spark.ui.UIUtils
DETERMINATE() - Static method in class org.apache.spark.rdd.DeterministicLevel
determineBounds(ArrayBuffer<Tuple2<K, Object>>, int, Ordering<K>, ClassTag<K>) - Static method in class org.apache.spark.RangePartitioner: Determines the bounds for range partitioning from candidates with weights indicating how many items each represents.
deterministic() - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

Returns true iff this function is deterministic, i.e.
deterministic() - Method in class org.apache.spark.sql.expressions.UserDefinedFunction: Returns true iff the UDF is deterministic, i.e.
DETERMINISTIC_LEVEL_DETERMINATE - Enum constant in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_DETERMINATE = 1;
DETERMINISTIC_LEVEL_DETERMINATE_VALUE - Static variable in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_DETERMINATE = 1;
DETERMINISTIC_LEVEL_INDETERMINATE - Enum constant in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_INDETERMINATE = 3;
DETERMINISTIC_LEVEL_INDETERMINATE_VALUE - Static variable in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_INDETERMINATE = 3;
DETERMINISTIC_LEVEL_UNORDERED - Enum constant in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_UNORDERED = 2;
DETERMINISTIC_LEVEL_UNORDERED_VALUE - Static variable in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_UNORDERED = 2;
DETERMINISTIC_LEVEL_UNSPECIFIED - Enum constant in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_UNSPECIFIED = 0;
DETERMINISTIC_LEVEL_UNSPECIFIED_VALUE - Static variable in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel: DETERMINISTIC_LEVEL_UNSPECIFIED = 0;
DeterministicLevel - Class in org.apache.spark.rdd: The deterministic level of RDD's output (i.e.
DeterministicLevel() - Constructor for class org.apache.spark.rdd.DeterministicLevel
DeterministicLevelSerializer - Class in org.apache.spark.status.protobuf
DeterministicLevelSerializer() - Constructor for class org.apache.spark.status.protobuf.DeterministicLevelSerializer
deviance() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionSummary
deviance(double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Binomial$
deviance(double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gamma$
deviance(double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gaussian$
deviance(double, double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Poisson$
devianceResiduals() - Method in class org.apache.spark.ml.regression.LinearRegressionSummary
dfToCols(Dataset<Row>) - Static method in class org.apache.spark.sql.api.r.SQLUtils
dfToRowRDD(Dataset<Row>) - Static method in class org.apache.spark.sql.api.r.SQLUtils
dgemm(double, DenseMatrix<Object>, DenseMatrix<Object>, double, DenseMatrix<Object>) - Static method in class org.apache.spark.ml.ann.BreezeUtil: DGEMM: C := alpha * A * B + beta * C
dgemv(double, DenseMatrix<Object>, DenseVector<Object>, double, DenseVector<Object>) - Static method in class org.apache.spark.ml.ann.BreezeUtil: DGEMV: y := alpha * A * x + beta * y
diag(Vector) - Static method in class org.apache.spark.ml.linalg.DenseMatrix: Generate a diagonal matrix in DenseMatrix format from the supplied values.
diag(Vector) - Static method in class org.apache.spark.ml.linalg.Matrices: Generate a diagonal matrix in Matrix format from the supplied values.
diag(Vector) - Static method in class org.apache.spark.mllib.linalg.DenseMatrix: Generate a diagonal matrix in DenseMatrix format from the supplied values.
diag(Vector) - Static method in class org.apache.spark.mllib.linalg.Matrices: Generate a diagonal matrix in Matrix format from the supplied values.
dialectFunctionName(String) - Method in class org.apache.spark.sql.jdbc.DB2Dialect.DB2SQLBuilder
dialectFunctionName(String) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect.MsSqlServerSQLBuilder
diff(VertexRDD<VD>) - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
diff(VertexRDD<VD>) - Method in class org.apache.spark.graphx.VertexRDD: For each vertex present in both this and other, diff returns only those vertices with differing values; for values that are different, keeps the values from other.
diff(RDD<Tuple2<Object, VD>>) - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
diff(RDD<Tuple2<Object, VD>>) - Method in class org.apache.spark.graphx.VertexRDD: For each vertex present in both this and other, diff returns only those vertices with differing values; for values that are different, keeps the values from other.
DifferentiableLossAggregator<Datum,Agg extends DifferentiableLossAggregator<Datum,Agg>> - Interface in org.apache.spark.ml.optim.aggregator: A parent trait for aggregators used in fitting MLlib models.
DifferentiableRegularization<T> - Interface in org.apache.spark.ml.optim.loss: A Breeze diff function which represents a cost function for differentiable regularization of parameters.
dim() - Method in interface org.apache.spark.ml.optim.aggregator.DifferentiableLossAggregator: The dimension of the gradient array.
dir() - Method in class org.apache.spark.mllib.optimization.NNLS.Workspace
direction() - Method in interface org.apache.spark.sql.connector.expressions.SortOrder: Returns the sort direction.
directory(File) - Method in class org.apache.spark.launcher.SparkLauncher: Sets the working directory of spark-submit.
DirectPoolMemory - Class in org.apache.spark.metrics
DirectPoolMemory() - Constructor for class org.apache.spark.metrics.DirectPoolMemory
disconnect() - Method in interface org.apache.spark.launcher.SparkAppHandle: Disconnects the handle from the application, without stopping it.
discoverResource(ResourceRequest, SparkConf) - Method in interface org.apache.spark.api.resource.ResourceDiscoveryPlugin: Discover the addresses of the requested resource.
discoverResource(ResourceRequest, SparkConf) - Method in class org.apache.spark.resource.ResourceDiscoveryScriptPlugin
DISCOVERY_SCRIPT() - Static method in class org.apache.spark.resource.ResourceUtils
DISCOVERY_SCRIPT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
discoveryScript() - Method in class org.apache.spark.resource.ExecutorResourceRequest
discoveryScript() - Method in class org.apache.spark.resource.ResourceRequest
DISK_BYTES_SPILLED() - Static method in class org.apache.spark.InternalAccumulator
DISK_BYTES_SPILLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
DISK_BYTES_SPILLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
DISK_BYTES_SPILLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
DISK_BYTES_SPILLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
DISK_BYTES_SPILLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
DISK_BYTES_SPILLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
DISK_BYTES_SPILLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
DISK_ONLY - Enum constant in enum class org.apache.spark.storage.StorageLevelMapper
DISK_ONLY - Static variable in class org.apache.spark.api.java.StorageLevels
DISK_ONLY() - Static method in class org.apache.spark.storage.StorageLevel
DISK_ONLY_2 - Enum constant in enum class org.apache.spark.storage.StorageLevelMapper
DISK_ONLY_2 - Static variable in class org.apache.spark.api.java.StorageLevels
DISK_ONLY_2() - Static method in class org.apache.spark.storage.StorageLevel
DISK_ONLY_3 - Enum constant in enum class org.apache.spark.storage.StorageLevelMapper
DISK_ONLY_3 - Static variable in class org.apache.spark.api.java.StorageLevels
DISK_ONLY_3() - Static method in class org.apache.spark.storage.StorageLevel
DISK_SIZE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
DISK_SPILL() - Static method in class org.apache.spark.status.TaskIndexNames
DISK_USED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
DISK_USED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
DISK_USED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
DISK_USED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
DiskBlockData - Class in org.apache.spark.storage
DiskBlockData(long, long, File, long) - Constructor for class org.apache.spark.storage.DiskBlockData
diskBytesSpilled() - Method in class org.apache.spark.status.api.v1.ExecutorMetricsDistributions
diskBytesSpilled() - Method in class org.apache.spark.status.api.v1.ExecutorStageSummary
diskBytesSpilled() - Method in class org.apache.spark.status.api.v1.StageData
diskBytesSpilled() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
diskBytesSpilled() - Method in class org.apache.spark.status.api.v1.TaskMetrics
diskSize() - Method in class org.apache.spark.storage.BlockManagerMessages.UpdateBlockInfo
diskSize() - Method in class org.apache.spark.storage.BlockStatus
diskSize() - Method in class org.apache.spark.storage.BlockUpdatedInfo
diskSize() - Method in class org.apache.spark.storage.RDDInfo
diskUsed() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
diskUsed() - Method in class org.apache.spark.status.api.v1.RDDDataDistribution
diskUsed() - Method in class org.apache.spark.status.api.v1.RDDPartitionInfo
diskUsed() - Method in class org.apache.spark.status.api.v1.RDDStorageInfo
diskUsed() - Method in class org.apache.spark.status.LiveRDD
diskUsed() - Method in class org.apache.spark.status.LiveRDDDistribution
diskUsed() - Method in class org.apache.spark.status.LiveRDDPartition
dispersion() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionSummary
displayOrder() - Method in interface org.apache.spark.status.AppHistoryServerPlugin: The position of a plugin tab relative to the other plugin tabs in the history UI.
dispose() - Method in interface org.apache.spark.storage.BlockData
dispose() - Method in class org.apache.spark.storage.DiskBlockData
dispose(ByteBuffer) - Static method in class org.apache.spark.storage.StorageUtils: Attempt to clean up a ByteBuffer if it is direct or memory-mapped.
distanceMeasure() - Method in class org.apache.spark.ml.clustering.BisectingKMeans
distanceMeasure() - Method in class org.apache.spark.ml.clustering.BisectingKMeansModel
distanceMeasure() - Method in class org.apache.spark.ml.clustering.KMeans
distanceMeasure() - Method in class org.apache.spark.ml.clustering.KMeansAggregator
distanceMeasure() - Method in class org.apache.spark.ml.clustering.KMeansModel
distanceMeasure() - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator: param for distance measure to be used in evaluation (supports "squaredEuclidean" (default), "cosine")
distanceMeasure() - Method in interface org.apache.spark.ml.param.shared.HasDistanceMeasure: Param for The distance measure.
distanceMeasure() - Method in class org.apache.spark.mllib.clustering.BisectingKMeansModel
distanceMeasure() - Method in class org.apache.spark.mllib.clustering.KMeansModel
distinct() - Method in class org.apache.spark.api.java.JavaDoubleRDD: Return a new RDD containing the distinct elements in this RDD.
distinct() - Method in class org.apache.spark.api.java.JavaPairRDD: Return a new RDD containing the distinct elements in this RDD.
distinct() - Method in class org.apache.spark.api.java.JavaRDD: Return a new RDD containing the distinct elements in this RDD.
distinct() - Method in class org.apache.spark.rdd.RDD: Return a new RDD containing the distinct elements in this RDD.
distinct() - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset that contains only the unique rows from this Dataset.
distinct(int) - Method in class org.apache.spark.api.java.JavaDoubleRDD: Return a new RDD containing the distinct elements in this RDD.
distinct(int) - Method in class org.apache.spark.api.java.JavaPairRDD: Return a new RDD containing the distinct elements in this RDD.
distinct(int) - Method in class org.apache.spark.api.java.JavaRDD: Return a new RDD containing the distinct elements in this RDD.
distinct(int, Ordering<T>) - Method in class org.apache.spark.rdd.RDD: Return a new RDD containing the distinct elements in this RDD.
distinct(Column...) - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

Creates a Column for this UDAF using the distinct values of the given Columns as input arguments.
distinct(Seq<Column>) - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

Creates a Column for this UDAF using the distinct values of the given Columns as input arguments.
distinctCount() - Method in interface org.apache.spark.sql.connector.read.colstats.ColumnStatistics
DistributedLDAModel - Class in org.apache.spark.ml.clustering: Distributed model fitted by LDA.
DistributedLDAModel - Class in org.apache.spark.mllib.clustering: Distributed LDA model.
DistributedMatrix - Interface in org.apache.spark.mllib.linalg.distributed: Represents a distributively stored matrix backed by one or more RDDs.
distribution(LiveExecutor) - Method in class org.apache.spark.status.LiveRDD
Distribution - Interface in org.apache.spark.sql.connector.distributions: An interface that defines how data is distributed across partitions.
distributionOpt(LiveExecutor) - Method in class org.apache.spark.status.LiveRDD
Distributions - Class in org.apache.spark.sql.connector.distributions: Helper methods to create distributions to pass into Spark.
distributionStrictlyRequired() - Method in interface org.apache.spark.sql.connector.write.RequiresDistributionAndOrdering: Returns if the distribution required by this write is strictly required or best effort only.
div(double, double) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
div(float, float) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
div(Decimal, Decimal) - Method in class org.apache.spark.sql.types.Decimal.DecimalIsFractional$
div(Duration) - Method in class org.apache.spark.streaming.Duration
divide(Object) - Method in class org.apache.spark.sql.Column: Division this expression by another expression.
doc() - Method in class org.apache.spark.ml.param.Param
docConcentration() - Method in class org.apache.spark.ml.clustering.LDA
docConcentration() - Method in class org.apache.spark.ml.clustering.LDAModel
docConcentration() - Method in interface org.apache.spark.ml.clustering.LDAParams: Concentration parameter (commonly named "alpha") for the prior placed on documents' distributions over topics ("theta").
docConcentration() - Method in class org.apache.spark.mllib.clustering.DistributedLDAModel
docConcentration() - Method in class org.apache.spark.mllib.clustering.LDAModel: Concentration parameter (commonly named "alpha") for the prior placed on documents' distributions over topics ("theta").
docConcentration() - Method in class org.apache.spark.mllib.clustering.LocalLDAModel
docFreq() - Method in class org.apache.spark.ml.feature.IDFModel: Returns the document frequency
docFreq() - Method in class org.apache.spark.mllib.feature.IDFModel
DocumentFrequencyAggregator() - Constructor for class org.apache.spark.mllib.feature.IDF.DocumentFrequencyAggregator
DocumentFrequencyAggregator(int) - Constructor for class org.apache.spark.mllib.feature.IDF.DocumentFrequencyAggregator
doesDirectoryContainAnyNewFiles(File, long) - Static method in class org.apache.spark.util.Utils: Determines if a directory contains any files newer than cutoff seconds.
doFetchFile(String, File, String, ReadOnlySparkConf, Configuration) - Static method in class org.apache.spark.util.Utils: Download a file or directory to target directory.
doFilter(ServletRequest, ServletResponse, FilterChain) - Method in class org.apache.spark.ui.HttpSecurityFilter
doFilter(ServletRequest, ServletResponse, FilterChain) - Method in class org.apache.spark.ui.HttpsRedirectFilter
doFilter(ServletRequest, ServletResponse, FilterChain) - Method in class org.apache.spark.ui.JWSFilter
doPostEvent(L, E) - Method in interface org.apache.spark.util.ListenerBus: Post an event to the specified listener.
doPostEvent(SparkListenerInterface, SparkListenerEvent) - Method in interface org.apache.spark.scheduler.SparkListenerBus
dot(Vector) - Method in interface org.apache.spark.ml.linalg.Vector: Calculate the dot product of this vector with another.
dot(Vector, Vector) - Static method in class org.apache.spark.ml.linalg.BLAS: dot(x, y)
dot(Vector) - Method in interface org.apache.spark.mllib.linalg.Vector: Calculate the dot product of this vector with another.
dot(Vector, Vector) - Static method in class org.apache.spark.mllib.linalg.BLAS: dot(x, y)
Dot - Class in org.apache.spark.ml.feature
Dot() - Constructor for class org.apache.spark.ml.feature.Dot
doTest(DStream<Tuple2<StatCounter, StatCounter>>) - Method in interface org.apache.spark.mllib.stat.test.StreamingTestMethod: Perform streaming 2-sample statistical significance testing.
doTest(DStream<Tuple2<StatCounter, StatCounter>>) - Static method in class org.apache.spark.mllib.stat.test.StudentTTest
doTest(DStream<Tuple2<StatCounter, StatCounter>>) - Static method in class org.apache.spark.mllib.stat.test.WelchTTest
doTryWithCallerStacktrace(Function0<T>) - Static method in class org.apache.spark.util.Utils: Use Try with stacktrace substitution for the caller retrieving the error.
DOUBLE() - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable double type.
doubleAccumulator() - Method in class org.apache.spark.SparkContext: Create and register a double accumulator, which starts with 0 and accumulates inputs by add.
doubleAccumulator(String) - Method in class org.apache.spark.SparkContext: Create and register a double accumulator, which starts with 0 and accumulates inputs by add.
DoubleAccumulator - Class in org.apache.spark.util: An accumulator for computing sum, count, and averages for double precision floating numbers.
DoubleAccumulator() - Constructor for class org.apache.spark.util.DoubleAccumulator
DoubleAccumulatorSource - Class in org.apache.spark.metrics.source
DoubleAccumulatorSource() - Constructor for class org.apache.spark.metrics.source.DoubleAccumulatorSource
DoubleArrayArrayParam - Class in org.apache.spark.ml.param: Specialized version of Param[Array[Array[Double}] for Java.
DoubleArrayArrayParam(Params, String, String) - Constructor for class org.apache.spark.ml.param.DoubleArrayArrayParam
DoubleArrayArrayParam(Params, String, String, Function1<double[][], Object>) - Constructor for class org.apache.spark.ml.param.DoubleArrayArrayParam
DoubleArrayParam - Class in org.apache.spark.ml.param: Specialized version of Param[Array[Double} for Java.
DoubleArrayParam(Params, String, String) - Constructor for class org.apache.spark.ml.param.DoubleArrayParam
DoubleArrayParam(Params, String, String, Function1<double[], Object>) - Constructor for class org.apache.spark.ml.param.DoubleArrayParam
DoubleAsIfIntegral$() - Constructor for class org.apache.spark.sql.types.DoubleType.DoubleAsIfIntegral$
doubleColumn(String[]) - Static method in class org.apache.parquet.filter2.predicate.SparkFilterApi
DoubleExactNumeric - Class in org.apache.spark.sql.types
DoubleExactNumeric() - Constructor for class org.apache.spark.sql.types.DoubleExactNumeric
DoubleFlatMapFunction<T> - Interface in org.apache.spark.api.java.function: A function that returns zero or more records of type Double from each input record.
DoubleFunction<T> - Interface in org.apache.spark.api.java.function: A function that returns Doubles, and can be used to construct DoubleRDDs.
DoubleParam - Class in org.apache.spark.ml.param: Specialized version of Param[Double] for Java.
DoubleParam(String, String, String) - Constructor for class org.apache.spark.ml.param.DoubleParam
DoubleParam(String, String, String, Function1<Object, Object>) - Constructor for class org.apache.spark.ml.param.DoubleParam
DoubleParam(Identifiable, String, String) - Constructor for class org.apache.spark.ml.param.DoubleParam
DoubleParam(Identifiable, String, String, Function1<Object, Object>) - Constructor for class org.apache.spark.ml.param.DoubleParam
DoubleRDDFunctions - Class in org.apache.spark.rdd: Extra functions available on RDDs of Doubles through an implicit conversion.
DoubleRDDFunctions(RDD<Object>) - Constructor for class org.apache.spark.rdd.DoubleRDDFunctions
doubleRDDToDoubleRDDFunctions(RDD<Object>) - Static method in class org.apache.spark.rdd.RDD
DoubleType - Class in org.apache.spark.sql.types: The data type representing Double values.
DoubleType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the DoubleType object.
DoubleType() - Constructor for class org.apache.spark.sql.types.DoubleType
DoubleType.DoubleAsIfIntegral - Interface in org.apache.spark.sql.types
DoubleType.DoubleAsIfIntegral$ - Class in org.apache.spark.sql.types
DoubleType.DoubleIsConflicted - Interface in org.apache.spark.sql.types
DoubleTypeExpression - Class in org.apache.spark.sql.types
DoubleTypeExpression() - Constructor for class org.apache.spark.sql.types.DoubleTypeExpression
downloadFile(String, File, SparkConf, Configuration) - Static method in class org.apache.spark.util.DependencyUtils: Download a file from the remote to a local temporary directory.
downloadFileList(String, File, SparkConf, Configuration) - Static method in class org.apache.spark.util.DependencyUtils: Download a list of remote files to temp local files.
driver() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.SetupDriver
driver() - Method in interface org.apache.spark.shuffle.api.ShuffleDataIO: Called once on driver process to bootstrap the shuffle metadata modules that are maintained by the driver.
DRIVER() - Static method in class org.apache.spark.metrics.MetricsSystemInstances
DRIVER_DEFAULT_EXTRA_CLASS_PATH - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the driver default extra class path.
DRIVER_DEFAULT_EXTRA_CLASS_PATH_VALUE - Static variable in class org.apache.spark.launcher.SparkLauncher
DRIVER_DEFAULT_JAVA_OPTIONS - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the default driver VM options.
DRIVER_EXTRA_CLASSPATH - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the driver class path.
DRIVER_EXTRA_JAVA_OPTIONS - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the driver VM options.
DRIVER_EXTRA_LIBRARY_PATH - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the driver native library path.
DRIVER_MEMORY - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the driver memory.
DRIVER_TIMEOUT() - Static method in class org.apache.spark.util.SparkExitCode: Exit because the driver is running over the given threshold.
driverAttributes() - Method in class org.apache.spark.scheduler.SparkListenerApplicationStart
driverLogs() - Method in class org.apache.spark.scheduler.SparkListenerApplicationStart
driverPlugin() - Method in interface org.apache.spark.api.plugin.SparkPlugin: Return the plugin's driver-side component.
DriverPlugin - Interface in org.apache.spark.api.plugin: :: DeveloperApi :: Driver component of a SparkPlugin.
drop() - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that drops rows containing any null or NaN values.
drop(int) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that drops rows containing less than minNonNulls non-null and non-NaN values.
drop(int, String[]) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that drops rows containing less than minNonNulls non-null and non-NaN values in the specified columns.
drop(int, Seq<String>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that drops rows containing less than minNonNulls non-null and non-NaN values in the specified columns.
drop(String) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that drops rows containing null or NaN values.
drop(String) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with a column dropped.
drop(String[]) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that drops rows containing any null or NaN values in the specified columns.
drop(String...) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with columns dropped.
drop(String, String[]) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that drops rows containing null or NaN values in the specified columns.
drop(String, Seq<String>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that drops rows containing null or NaN values in the specified columns.
drop(Column) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with column dropped.
drop(Column, Column...) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with columns dropped.
drop(Column, Seq<Column>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with columns dropped.
drop(Seq<String>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that drops rows containing any null or NaN values in the specified columns.
drop(Seq<String>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with columns dropped.
dropConstraint(String, boolean, boolean) - Static method in interface org.apache.spark.sql.connector.catalog.TableChange: Create a TableChange for dropping a table constraint
dropDuplicates() - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset that contains only the unique rows from this Dataset.
dropDuplicates(String[]) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicate rows removed, considering only the subset of columns.
dropDuplicates(String, String...) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicate rows removed, considering only the subset of columns.
dropDuplicates(String, Seq<String>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicate rows removed, considering only the subset of columns.
dropDuplicates(Seq<String>) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Returns a new Dataset with duplicate rows removed, considering only the subset of columns.
dropDuplicatesWithinWatermark() - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicates rows removed, within watermark.
dropDuplicatesWithinWatermark(String[]) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicates rows removed, considering only the subset of columns, within watermark.
dropDuplicatesWithinWatermark(String, String...) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicates rows removed, considering only the subset of columns, within watermark.
dropDuplicatesWithinWatermark(String, Seq<String>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicates rows removed, considering only the subset of columns, within watermark.
dropDuplicatesWithinWatermark(Seq<String>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset with duplicates rows removed, considering only the subset of columns, within watermark.
dropFields(Seq<String>) - Method in class org.apache.spark.sql.Column: An expression that drops fields in StructType by name.
dropFromMemory(BlockId, Function0<Either<Object, ChunkedByteBuffer>>, ClassTag<T>) - Method in interface org.apache.spark.storage.memory.BlockEvictionHandler: Drop a block from memory, possibly putting it on disk if applicable.
dropGlobalTempView(String) - Method in class org.apache.spark.sql.catalog.Catalog: Drops the global temporary view with the given view name in the catalog.
dropIndex(String) - Method in interface org.apache.spark.sql.connector.catalog.index.SupportsIndex: Drops the index with the given name.
dropIndex(String, Identifier) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Build a drop index SQL statement.
dropIndex(String, Identifier) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
dropIndex(String, Identifier) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
dropIndex(String, Identifier) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
dropLast() - Method in class org.apache.spark.ml.feature.OneHotEncoder
dropLast() - Method in interface org.apache.spark.ml.feature.OneHotEncoderBase: Whether to drop the last category in the encoded vector (default: true)
dropLast() - Method in class org.apache.spark.ml.feature.OneHotEncoderModel
dropNamespace(String[], boolean) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
dropNamespace(String[], boolean) - Method in interface org.apache.spark.sql.connector.catalog.SupportsNamespaces: Drop a namespace from the catalog with cascade mode, recursively dropping all objects within the namespace if cascade is true.
dropPartition(InternalRow) - Method in interface org.apache.spark.sql.connector.catalog.SupportsAtomicPartitionManagement
dropPartition(InternalRow) - Method in interface org.apache.spark.sql.connector.catalog.SupportsPartitionManagement: Drop a partition from table.
dropPartitions(InternalRow[]) - Method in interface org.apache.spark.sql.connector.catalog.SupportsAtomicPartitionManagement: Drop an array of partitions atomically from table.
dropSchema(String, boolean) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
dropSchema(String, boolean) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
dropSchema(String, boolean) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
dropSchema(String, boolean) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
dropTable(String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Build a SQL statement to drop the given table.
dropTable(String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
dropTable(Identifier) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
dropTable(Identifier) - Method in interface org.apache.spark.sql.connector.catalog.TableCatalog: Drop a table in the catalog.
dropTempTable(String) - Method in class org.apache.spark.sql.SQLContext: Drops the temporary table with the given table name in the catalog.
dropTempView(String) - Method in class org.apache.spark.sql.catalog.Catalog: Drops the local temporary view with the given view name in the catalog.
dropView(Identifier) - Method in interface org.apache.spark.sql.connector.catalog.ViewCatalog: Drop a view in the catalog.
dspmv(int, double, DenseVector, DenseVector, double, DenseVector) - Static method in class org.apache.spark.ml.linalg.BLAS: y := alpha*A*x + beta*y
Dst - Static variable in class org.apache.spark.graphx.TripletFields: Expose the destination and edge fields but not the source field.
dstAttr() - Method in class org.apache.spark.graphx.EdgeContext: The vertex attribute of the edge's destination vertex.
dstAttr() - Method in class org.apache.spark.graphx.EdgeTriplet: The destination vertex attribute
dstAttr() - Method in class org.apache.spark.graphx.impl.AggregatingEdgeContext
dstCol() - Method in class org.apache.spark.ml.clustering.PowerIterationClustering
dstCol() - Method in interface org.apache.spark.ml.clustering.PowerIterationClusteringParams: Name of the input column for destination vertex IDs.
dstId() - Method in class org.apache.spark.graphx.Edge
dstId() - Method in class org.apache.spark.graphx.EdgeContext: The vertex id of the edge's destination vertex.
dstId() - Method in class org.apache.spark.graphx.impl.AggregatingEdgeContext
DstOnly - Enum constant in enum class org.apache.spark.graphx.impl.EdgeActiveness: The destination vertex must be active.
dstream() - Method in class org.apache.spark.streaming.api.java.JavaDStream
dstream() - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike
dstream() - Method in class org.apache.spark.streaming.api.java.JavaPairDStream
DStream<T> - Class in org.apache.spark.streaming.dstream: A Discretized Stream (DStream), the basic abstraction in Spark Streaming, is a continuous sequence of RDDs (of the same type) representing a continuous stream of data (see org.apache.spark.rdd.RDD in the Spark core documentation for more details on RDDs).
DStream(StreamingContext, ClassTag<T>) - Constructor for class org.apache.spark.streaming.dstream.DStream
dtypes() - Method in class org.apache.spark.sql.Dataset: Returns all column names and their data types as an array.
DummyInvocationHandler - Class in org.apache.spark.serializer
DummyInvocationHandler() - Constructor for class org.apache.spark.serializer.DummyInvocationHandler
dummyNode() - Static method in class org.apache.spark.ml.tree.Node
DummySerializerInstance - Class in org.apache.spark.serializer: Unfortunately, we need a serializer instance in order to construct a DiskBlockObjectWriter.
duration() - Method in class org.apache.spark.scheduler.TaskInfo
duration() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
duration() - Method in class org.apache.spark.status.api.v1.sql.ExecutionData
duration() - Method in class org.apache.spark.status.api.v1.streaming.OutputOperationInfo
duration() - Method in class org.apache.spark.status.api.v1.TaskData
duration() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
duration() - Method in class org.apache.spark.streaming.scheduler.OutputOperationInfo: Return the duration of this output operation.
Duration - Class in org.apache.spark.streaming
Duration(long) - Constructor for class org.apache.spark.streaming.Duration
DURATION() - Static method in class org.apache.spark.sql.Encoders: Creates an encoder that serializes instances of the java.time.Duration class to the internal representation of nullable Catalyst's DayTimeIntervalType.
DURATION() - Static method in class org.apache.spark.status.TaskIndexNames
DURATION() - Static method in class org.apache.spark.ui.ToolTips
DURATION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
DURATION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
DURATION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
DURATION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
DURATION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
DURATION_MS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
durationDataPadding(Tuple2<Object, Map<String, Long>>[]) - Static method in class org.apache.spark.ui.UIUtils: There may be different duration labels in each batch.
durationMs() - Method in class org.apache.spark.sql.streaming.StreamingQueryProgress
Durations - Class in org.apache.spark.streaming
Durations() - Constructor for class org.apache.spark.streaming.Durations

E

e() - Static method in class org.apache.spark.sql.functions: Returns Euler's number.
Edge<ED> - Class in org.apache.spark.graphx: A single directed edge consisting of a source id, target id, and the data associated with the edge.
Edge(long, long, ED) - Constructor for class org.apache.spark.graphx.Edge
EdgeActiveness - Enum Class in org.apache.spark.graphx.impl: Criteria for filtering edges based on activeness.
EdgeContext<VD,ED,A> - Class in org.apache.spark.graphx: Represents an edge along with its neighboring vertices and allows sending messages along the edge.
EdgeContext() - Constructor for class org.apache.spark.graphx.EdgeContext
EdgeDirection - Class in org.apache.spark.graphx: The direction of a directed edge relative to a vertex.
EdgeDirection() - Constructor for class org.apache.spark.graphx.EdgeDirection
EdgeInterpolationAlgorithm - Class in org.apache.spark.sql.types: Edge interpolation algorithm for Geography logical type.
EdgeInterpolationAlgorithm() - Constructor for class org.apache.spark.sql.types.EdgeInterpolationAlgorithm
EdgeInterpolationAlgorithm.SPHERICAL$ - Class in org.apache.spark.sql.types
edgeListFile(SparkContext, String, boolean, int, StorageLevel, StorageLevel) - Static method in class org.apache.spark.graphx.GraphLoader: Loads a graph from an edge list formatted file where each line contains two integers: a source id and a target id.
EdgeOnly - Static variable in class org.apache.spark.graphx.TripletFields: Expose only the edge field and not the source or destination field.
EdgePartition1D$() - Constructor for class org.apache.spark.graphx.PartitionStrategy.EdgePartition1D$
EdgePartition2D$() - Constructor for class org.apache.spark.graphx.PartitionStrategy.EdgePartition2D$
EdgeRDD<ED> - Class in org.apache.spark.graphx: EdgeRDD[ED, VD] extends RDD[Edge[ED} by storing the edges in columnar format on each partition for performance.
EdgeRDD(SparkContext, Seq<Dependency<?>>) - Constructor for class org.apache.spark.graphx.EdgeRDD
EdgeRDDImpl<ED,VD> - Class in org.apache.spark.graphx.impl
edges() - Method in class org.apache.spark.graphx.Graph: An RDD containing the edges and their associated attributes.
edges() - Method in class org.apache.spark.graphx.impl.GraphImpl
edges() - Method in class org.apache.spark.status.api.v1.sql.ExecutionData
EDGES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
EDGES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
EdgeTriplet<VD,ED> - Class in org.apache.spark.graphx: An edge triplet represents an edge along with the vertex attributes of its neighboring vertices.
EdgeTriplet() - Constructor for class org.apache.spark.graphx.EdgeTriplet
EigenValueDecomposition - Class in org.apache.spark.mllib.linalg: Compute eigen-decomposition.
EigenValueDecomposition() - Constructor for class org.apache.spark.mllib.linalg.EigenValueDecomposition
Either - Enum constant in enum class org.apache.spark.graphx.impl.EdgeActiveness: At least one vertex must be active.
Either() - Static method in class org.apache.spark.graphx.EdgeDirection: Edges originating from *or* arriving at a vertex of interest.
elasticNetParam() - Method in class org.apache.spark.ml.classification.LogisticRegression
elasticNetParam() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
elasticNetParam() - Method in interface org.apache.spark.ml.param.shared.HasElasticNetParam: Param for the ElasticNet mixing parameter, in range [0, 1].
elasticNetParam() - Method in class org.apache.spark.ml.regression.LinearRegression
elasticNetParam() - Method in class org.apache.spark.ml.regression.LinearRegressionModel
elem(String, Function1<Object, Object>) - Static method in class org.apache.spark.ml.feature.RFormulaParser
elem(Parsers) - Static method in class org.apache.spark.ml.feature.RFormulaParser
element_at(Column, Object) - Static method in class org.apache.spark.sql.functions: Returns element of array at given index in value if column is array.
elementType() - Method in class org.apache.spark.sql.types.ArrayType
ElementwiseProduct - Class in org.apache.spark.ml.feature: Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a provided "weight" vector.
ElementwiseProduct - Class in org.apache.spark.mllib.feature: Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a provided "weight" vector.
ElementwiseProduct() - Constructor for class org.apache.spark.ml.feature.ElementwiseProduct
ElementwiseProduct(String) - Constructor for class org.apache.spark.ml.feature.ElementwiseProduct
ElementwiseProduct(Vector) - Constructor for class org.apache.spark.mllib.feature.ElementwiseProduct
elems() - Method in class org.apache.spark.status.api.v1.StackTrace
elt(Column...) - Static method in class org.apache.spark.sql.functions: Returns the n-th input, e.g., returns input2 when n is 2.
elt(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Returns the n-th input, e.g., returns input2 when n is 2.
EMLDAOptimizer - Class in org.apache.spark.mllib.clustering: Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters.
EMLDAOptimizer() - Constructor for class org.apache.spark.mllib.clustering.EMLDAOptimizer
empty() - Static method in class org.apache.spark.api.java.Optional
empty() - Static method in class org.apache.spark.ml.param.ParamMap: Returns an empty param map.
empty() - Method in class org.apache.spark.mllib.fpm.PrefixSpan.Prefix$: An empty PrefixSpan.Prefix instance.
empty() - Static method in class org.apache.spark.sql.types.Metadata: Returns an empty Metadata.
empty() - Static method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
empty() - Static method in class org.apache.spark.storage.BlockStatus
empty(Enumeration.Value) - Static method in class org.apache.spark.storage.LogBlockId
EMPTY_EXPRESSION - Static variable in interface org.apache.spark.sql.connector.expressions.Expression
EMPTY_NAMED_REFERENCE - Static variable in interface org.apache.spark.sql.connector.expressions.Expression: `EMPTY_EXPRESSION` is only used as an input when the default `references` method builds the result array to avoid repeatedly allocating an empty array.
EMPTY_USER_GROUPS() - Static method in class org.apache.spark.util.Utils
emptyDataFrame() - Method in class org.apache.spark.sql.SparkSession: Returns a DataFrame with no rows or columns.
emptyDataFrame() - Method in class org.apache.spark.sql.SQLContext: Returns a DataFrame with no rows or columns.
emptyDataFrame(StructType) - Method in class org.apache.spark.sql.SparkSession: Returns a DataFrame with schema schema and no rows.
emptyDataset(Encoder<T>) - Method in class org.apache.spark.sql.SparkSession: Creates a new Dataset of type T containing zero elements.
emptyNode(int) - Static method in class org.apache.spark.mllib.tree.model.Node: Return a node with the given node id (but nothing else set).
emptyRDD() - Method in class org.apache.spark.api.java.JavaSparkContext: Get an RDD that has no partitions or elements.
emptyRDD(ClassTag<T>) - Method in class org.apache.spark.SparkContext: Get an RDD that has no partitions or elements.
EmptyTerm - Class in org.apache.spark.ml.feature: Placeholder term for the result of undefined interactions, e.g.
EmptyTerm() - Constructor for class org.apache.spark.ml.feature.EmptyTerm
enableHiveSupport() - Method in class org.apache.spark.sql.SparkSession.Builder
enableReceiverLog(SparkConf) - Static method in class org.apache.spark.streaming.util.WriteAheadLogUtils
encode(Column, String) - Static method in class org.apache.spark.sql.functions: Computes the first argument into a binary from a string using the provided character set (one of 'US-ASCII', 'ISO-8859-1', 'UTF-8', 'UTF-16BE', 'UTF-16LE', 'UTF-16', 'UTF-32').
encodeFileNameToURIRawPath(String) - Static method in class org.apache.spark.util.Utils: A file name may contain some invalid URI characters, such as " ".
encoder() - Method in class org.apache.spark.sql.Dataset
Encoder<T> - Interface in org.apache.spark.sql: Used to convert a JVM object of type T to and from the internal Spark SQL representation.
encodeRelativeUnixPathToURIRawPath(String) - Static method in class org.apache.spark.util.Utils: Same as Utils.encodeFileNameToURIRawPath(java.lang.String) but returns the relative UNIX path.
EncoderImplicits - Interface in org.apache.spark.sql: EncoderImplicits used to implicitly generate SQL Encoders.
Encoders - Class in org.apache.spark.sql: Methods for creating an Encoder.
Encoders() - Constructor for class org.apache.spark.sql.Encoders
END_OFFSET_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
END_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
END_TIMESTAMP_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
endField() - Method in class org.apache.spark.sql.types.DayTimeIntervalType
endField() - Method in class org.apache.spark.sql.types.YearMonthIntervalType
endOffset() - Method in class org.apache.spark.sql.streaming.SourceProgress
endOffset() - Method in exception org.apache.spark.sql.streaming.StreamingQueryException
endReduceId() - Method in class org.apache.spark.storage.ShuffleBlockBatchId
endswith(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns a boolean.
endsWith(String) - Method in class org.apache.spark.sql.Column: String ends with another string literal.
endsWith(Column) - Method in class org.apache.spark.sql.Column: String ends with.
endTime() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
endTime() - Method in class org.apache.spark.status.api.v1.streaming.OutputOperationInfo
endTime() - Method in class org.apache.spark.streaming.scheduler.OutputOperationInfo
enforced() - Method in class org.apache.spark.sql.connector.catalog.constraints.Check.Builder
enforced() - Method in class org.apache.spark.sql.connector.catalog.constraints.Check
enforced() - Method in interface org.apache.spark.sql.connector.catalog.constraints.Constraint: Indicates whether this constraint is actively enforced.
enforced(boolean) - Method in class org.apache.spark.sql.connector.catalog.constraints.Check.Builder
EnsembleCombiningStrategy - Class in org.apache.spark.mllib.tree.configuration: Enum to select ensemble combining strategy for base learners
EnsembleCombiningStrategy() - Constructor for class org.apache.spark.mllib.tree.configuration.EnsembleCombiningStrategy
EnsembleModelReadWrite - Class in org.apache.spark.ml.tree
EnsembleModelReadWrite() - Constructor for class org.apache.spark.ml.tree.EnsembleModelReadWrite
EnsembleModelReadWrite.EnsembleNodeData - Class in org.apache.spark.ml.tree: Info for one Node in a tree ensemble
EnsembleModelReadWrite.EnsembleNodeData$ - Class in org.apache.spark.ml.tree
EnsembleNodeData(int, DecisionTreeModelReadWrite.NodeData) - Constructor for class org.apache.spark.ml.tree.EnsembleModelReadWrite.EnsembleNodeData
EnsembleNodeData$() - Constructor for class org.apache.spark.ml.tree.EnsembleModelReadWrite.EnsembleNodeData$
entries() - Method in class org.apache.spark.mllib.linalg.distributed.CoordinateMatrix
Entropy - Class in org.apache.spark.mllib.tree.impurity: Class for calculating entropy during multiclass classification.
Entropy() - Constructor for class org.apache.spark.mllib.tree.impurity.Entropy
entrySet() - Method in class org.apache.spark.api.java.JavaUtils.SerializableMapWrapper
entrySet() - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
EnumUtil - Class in org.apache.spark.util
EnumUtil() - Constructor for class org.apache.spark.util.EnumUtil
environmentDetails() - Method in class org.apache.spark.scheduler.SparkListenerEnvironmentUpdate
environmentUpdateFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
environmentUpdateToJson(SparkListenerEnvironmentUpdate, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
eps() - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator: param for eps.
epsilon() - Method in class org.apache.spark.ml.regression.LinearRegression
epsilon() - Method in class org.apache.spark.ml.regression.LinearRegressionModel
epsilon() - Method in interface org.apache.spark.ml.regression.LinearRegressionParams: The shape parameter to control the amount of robustness.
EPSILON() - Static method in class org.apache.spark.ml.impl.Utils
eqNullSafe(Object) - Method in class org.apache.spark.sql.Column: Equality test that is safe for null values.
equal_null(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns same result as the EQUAL(=) operator for non-null operands, but returns true if both are null, false if one of the them is null.
EqualNullSafe - Class in org.apache.spark.sql.sources: Performs equality comparison, similar to EqualTo.
EqualNullSafe(String, Object) - Constructor for class org.apache.spark.sql.sources.EqualNullSafe
equals(Object) - Method in class org.apache.spark.api.java.Optional
equals(Object) - Method in class org.apache.spark.BreakingChangeInfo
equals(Object) - Static method in class org.apache.spark.ExpireDeadHosts
equals(Object) - Method in class org.apache.spark.graphx.EdgeDirection
equals(Object) - Method in class org.apache.spark.HashPartitioner
equals(Object) - Static method in class org.apache.spark.metrics.DirectPoolMemory
equals(Object) - Static method in class org.apache.spark.metrics.GarbageCollectionMetrics
equals(Object) - Static method in class org.apache.spark.metrics.JVMHeapMemory
equals(Object) - Static method in class org.apache.spark.metrics.JVMOffHeapMemory
equals(Object) - Static method in class org.apache.spark.metrics.MappedPoolMemory
equals(Object) - Static method in class org.apache.spark.metrics.OffHeapExecutionMemory
equals(Object) - Static method in class org.apache.spark.metrics.OffHeapStorageMemory
equals(Object) - Static method in class org.apache.spark.metrics.OffHeapUnifiedMemory
equals(Object) - Static method in class org.apache.spark.metrics.OnHeapExecutionMemory
equals(Object) - Static method in class org.apache.spark.metrics.OnHeapStorageMemory
equals(Object) - Static method in class org.apache.spark.metrics.OnHeapUnifiedMemory
equals(Object) - Static method in class org.apache.spark.metrics.ProcessTreeMetrics
equals(Object) - Method in class org.apache.spark.MitigationConfig
equals(Object) - Method in class org.apache.spark.ml.attribute.AttributeGroup
equals(Object) - Method in class org.apache.spark.ml.attribute.BinaryAttribute
equals(Object) - Method in class org.apache.spark.ml.attribute.NominalAttribute
equals(Object) - Method in class org.apache.spark.ml.attribute.NumericAttribute
equals(Object) - Static method in class org.apache.spark.ml.feature.Dot
equals(Object) - Static method in class org.apache.spark.ml.feature.EmptyTerm
equals(Object) - Method in class org.apache.spark.ml.linalg.DenseMatrix
equals(Object) - Method in class org.apache.spark.ml.linalg.DenseVector
equals(Object) - Method in class org.apache.spark.ml.linalg.SparseMatrix
equals(Object) - Method in class org.apache.spark.ml.linalg.SparseVector
equals(Object) - Method in interface org.apache.spark.ml.linalg.Vector
equals(Object) - Method in class org.apache.spark.ml.param.Param
equals(Object) - Method in class org.apache.spark.ml.tree.CategoricalSplit
equals(Object) - Method in class org.apache.spark.ml.tree.ContinuousSplit
equals(Object) - Method in class org.apache.spark.mllib.linalg.DenseMatrix
equals(Object) - Method in class org.apache.spark.mllib.linalg.DenseVector
equals(Object) - Method in class org.apache.spark.mllib.linalg.SparseMatrix
equals(Object) - Method in class org.apache.spark.mllib.linalg.SparseVector
equals(Object) - Method in interface org.apache.spark.mllib.linalg.Vector
equals(Object) - Method in class org.apache.spark.mllib.linalg.VectorUDT
equals(Object) - Method in class org.apache.spark.mllib.tree.model.InformationGainStats
equals(Object) - Method in class org.apache.spark.mllib.tree.model.Predict
equals(Object) - Method in class org.apache.spark.partial.BoundedDouble
equals(Object) - Method in interface org.apache.spark.Partition
equals(Object) - Method in class org.apache.spark.RangePartitioner
equals(Object) - Method in class org.apache.spark.resource.ExecutorResourceRequest
equals(Object) - Method in class org.apache.spark.resource.ResourceID
equals(Object) - Method in class org.apache.spark.resource.ResourceInformation
equals(Object) - Method in class org.apache.spark.resource.ResourceProfile
equals(Object) - Method in class org.apache.spark.resource.ResourceRequest
equals(Object) - Method in class org.apache.spark.resource.TaskResourceRequest
equals(Object) - Static method in class org.apache.spark.Resubmitted
equals(Object) - Static method in class org.apache.spark.scheduler.AllJobsCancelled
equals(Object) - Method in class org.apache.spark.scheduler.cluster.ExecutorInfo
equals(Object) - Method in class org.apache.spark.scheduler.InputFormatInfo
equals(Object) - Static method in class org.apache.spark.scheduler.JobSucceeded
equals(Object) - Static method in class org.apache.spark.scheduler.ResubmitFailedStages
equals(Object) - Method in class org.apache.spark.scheduler.SplitInfo
equals(Object) - Static method in class org.apache.spark.scheduler.StopCoordinator
equals(Object) - Method in class org.apache.spark.sql.Column
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.ColumnDefaultValue
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.constraints.Check
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.constraints.ForeignKey
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.constraints.PrimaryKey
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.constraints.Unique
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.DefaultValue
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.IdentityColumnSpec
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddColumn
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddConstraint
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.After
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.ClusterBy
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.DeleteColumn
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.DropConstraint
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.RemoveProperty
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.RenameColumn
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.SetProperty
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnComment
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnDefaultValue
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnNullability
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnPosition
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnType
equals(Object) - Method in class org.apache.spark.sql.connector.catalog.ViewInfo
equals(Object) - Method in record class org.apache.spark.sql.connector.expressions.aggregate.Aggregation: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class org.apache.spark.sql.connector.expressions.aggregate.GeneralAggregateFunc
equals(Object) - Method in class org.apache.spark.sql.connector.expressions.aggregate.UserDefinedAggregateFunc
equals(Object) - Method in class org.apache.spark.sql.connector.expressions.Cast
equals(Object) - Method in class org.apache.spark.sql.connector.expressions.GeneralScalarExpression
equals(Object) - Method in class org.apache.spark.sql.connector.expressions.UserDefinedScalarFunc
equals(Object) - Method in class org.apache.spark.sql.connector.read.streaming.CompositeReadLimit
equals(Object) - Method in class org.apache.spark.sql.connector.read.streaming.Offset: Equality based on JSON string representation.
equals(Object) - Method in class org.apache.spark.sql.connector.read.streaming.ReadMaxBytes
equals(Object) - Method in class org.apache.spark.sql.connector.read.streaming.ReadMaxFiles
equals(Object) - Method in class org.apache.spark.sql.connector.read.streaming.ReadMaxRows
equals(Object) - Method in class org.apache.spark.sql.connector.read.streaming.ReadMinRows
equals(Object) - Method in record class org.apache.spark.sql.connector.read.SupportsPushDownJoin.ColumnWithAlias: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in interface org.apache.spark.sql.Row
equals(Object) - Static method in class org.apache.spark.sql.sources.AlwaysFalse
equals(Object) - Static method in class org.apache.spark.sql.sources.AlwaysTrue
equals(Object) - Method in class org.apache.spark.sql.sources.In
equals(Object) - Static method in class org.apache.spark.sql.types.BinaryType
equals(Object) - Static method in class org.apache.spark.sql.types.BooleanType
equals(Object) - Static method in class org.apache.spark.sql.types.BooleanTypeExpression
equals(Object) - Static method in class org.apache.spark.sql.types.ByteExactNumeric
equals(Object) - Static method in class org.apache.spark.sql.types.ByteType
equals(Object) - Static method in class org.apache.spark.sql.types.ByteTypeExpression
equals(Object) - Static method in class org.apache.spark.sql.types.CalendarIntervalType
equals(Object) - Static method in class org.apache.spark.sql.types.DateType
equals(Object) - Static method in class org.apache.spark.sql.types.DateTypeExpression
equals(Object) - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
equals(Object) - Method in class org.apache.spark.sql.types.Decimal
equals(Object) - Static method in class org.apache.spark.sql.types.DecimalExactNumeric
equals(Object) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
equals(Object) - Static method in class org.apache.spark.sql.types.DoubleType
equals(Object) - Static method in class org.apache.spark.sql.types.DoubleTypeExpression
equals(Object) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
equals(Object) - Static method in class org.apache.spark.sql.types.FloatType
equals(Object) - Static method in class org.apache.spark.sql.types.FloatTypeExpression
equals(Object) - Method in class org.apache.spark.sql.types.Geography
equals(Object) - Method in class org.apache.spark.sql.types.GeographyType: Two types are considered equal iff they are both GeographyTypes and have the same type info.
equals(Object) - Method in class org.apache.spark.sql.types.Geometry
equals(Object) - Method in class org.apache.spark.sql.types.GeometryType: Two types are considered equal iff they are both GeometryTypes and have the same SRID value.
equals(Object) - Static method in class org.apache.spark.sql.types.IndeterminateStringType
equals(Object) - Static method in class org.apache.spark.sql.types.IntegerExactNumeric
equals(Object) - Static method in class org.apache.spark.sql.types.IntegerType
equals(Object) - Static method in class org.apache.spark.sql.types.IntegerTypeExpression
equals(Object) - Static method in class org.apache.spark.sql.types.LongExactNumeric
equals(Object) - Static method in class org.apache.spark.sql.types.LongType
equals(Object) - Static method in class org.apache.spark.sql.types.LongTypeExpression
equals(Object) - Method in class org.apache.spark.sql.types.Metadata
equals(Object) - Static method in class org.apache.spark.sql.types.NoConstraint
equals(Object) - Static method in class org.apache.spark.sql.types.NullType
equals(Object) - Static method in class org.apache.spark.sql.types.ShortExactNumeric
equals(Object) - Static method in class org.apache.spark.sql.types.ShortType
equals(Object) - Static method in class org.apache.spark.sql.types.ShortTypeExpression
equals(Object) - Static method in class org.apache.spark.sql.types.StringHelper
equals(Object) - Method in class org.apache.spark.sql.types.StringType
equals(Object) - Static method in class org.apache.spark.sql.types.StringTypeExpression
equals(Object) - Method in class org.apache.spark.sql.types.StructType
equals(Object) - Static method in class org.apache.spark.sql.types.TimestampNTZType
equals(Object) - Static method in class org.apache.spark.sql.types.TimestampType
equals(Object) - Static method in class org.apache.spark.sql.types.TimestampTypeExpression
equals(Object) - Method in class org.apache.spark.sql.types.UserDefinedType
equals(Object) - Static method in class org.apache.spark.sql.types.VariantType
equals(Object) - Static method in class org.apache.spark.sql.types.YearMonthIntervalType
equals(Object) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
equals(Object) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
equals(Object) - Static method in class org.apache.spark.StopMapOutputTracker
equals(Object) - Method in class org.apache.spark.storage.BlockManagerId
equals(Object) - Method in class org.apache.spark.storage.StorageLevel
equals(Object) - Static method in class org.apache.spark.streaming.kinesis.DefaultCredentials
equals(Object) - Static method in class org.apache.spark.streaming.scheduler.AllReceiverIds
equals(Object) - Static method in class org.apache.spark.streaming.scheduler.GetAllReceiverInfo
equals(Object) - Static method in class org.apache.spark.streaming.scheduler.StopAllReceivers
equals(Object) - Static method in class org.apache.spark.Success
equals(Object) - Static method in class org.apache.spark.TaskResultLost
equals(Object) - Static method in class org.apache.spark.TaskSchedulerIsSet
equals(Object) - Static method in class org.apache.spark.UnknownReason
equals(Object) - Method in class org.apache.spark.unsafe.types.CalendarInterval
equals(Object) - Method in record class org.apache.spark.util.Pair: Indicates whether some other object is "equal to" this one.
equalsIgnoreCaseAndNullability(DataType, DataType) - Static method in class org.apache.spark.sql.types.DataType: Compares two types, ignoring nullability of ArrayType, MapType, StructType, and ignoring case sensitivity of field names in StructType.
equalsIgnoreNullability(DataType, DataType) - Static method in class org.apache.spark.sql.types.DataType: Compares two types, ignoring nullability of ArrayType, MapType, StructType.
equalsStructurally(DataType, DataType, boolean) - Static method in class org.apache.spark.sql.types.DataType: Returns true if the two data types share the same "shape", i.e.
equalsStructurallyByName(DataType, DataType, Function2<String, String, Object>) - Static method in class org.apache.spark.sql.types.DataType: Returns true if the two data types have the same field names in order recursively.
equalTo(Object) - Method in class org.apache.spark.sql.Column: Equality test.
EqualTo - Class in org.apache.spark.sql.sources: A filter that evaluates to true iff the column evaluates to a value equal to value.
EqualTo(String, Object) - Constructor for class org.apache.spark.sql.sources.EqualTo
equiv(StringConstraint, StringConstraint) - Static method in class org.apache.spark.sql.types.StringHelper
equiv(T, T) - Static method in class org.apache.spark.sql.types.ByteExactNumeric
equiv(T, T) - Static method in class org.apache.spark.sql.types.DecimalExactNumeric
equiv(T, T) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
equiv(T, T) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
equiv(T, T) - Static method in class org.apache.spark.sql.types.IntegerExactNumeric
equiv(T, T) - Static method in class org.apache.spark.sql.types.LongExactNumeric
equiv(T, T) - Static method in class org.apache.spark.sql.types.ShortExactNumeric
err(String) - Static method in class org.apache.spark.ml.feature.RFormulaParser
Error() - Static method in class org.apache.spark.ml.feature.RFormulaParser
ERROR() - Static method in class org.apache.spark.status.TaskIndexNames
ERROR_COMMAND_NOT_FOUND() - Static method in class org.apache.spark.util.SparkExitCode: Exception indicate command not found.
ERROR_MESSAGE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
ERROR_MESSAGE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
ERROR_MESSAGE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
ERROR_MISUSE_SHELL_BUILTIN() - Static method in class org.apache.spark.util.SparkExitCode: Exception indicate invalid usage of some shell built-in command.
ERROR_PATH_NOT_FOUND() - Static method in class org.apache.spark.util.SparkExitCode: Exception appears when the computer cannot find the specified path.
errorClass() - Method in exception org.apache.spark.sql.AnalysisException
ErrorClassesJsonReader - Class in org.apache.spark: A reader to load error information from one or more JSON files.
ErrorClassesJsonReader(Seq<URL>) - Constructor for class org.apache.spark.ErrorClassesJsonReader
errorClassOnException() - Method in class org.apache.spark.sql.streaming.StreamingQueryListener.QueryTerminatedEvent
ErrorIfExists - Enum constant in enum class org.apache.spark.sql.SaveMode: ErrorIfExists mode means that when saving a DataFrame to a data source, if data already exists, an exception is expected to be thrown.
ErrorInfo - Class in org.apache.spark: Information associated with an error class.
ErrorInfo(Seq<String>, Option<Map<String, ErrorSubInfo>>, Option<String>, Option<BreakingChangeInfo>) - Constructor for class org.apache.spark.ErrorInfo
errorMessage() - Method in class org.apache.spark.status.api.v1.TaskData
errorMessage() - Method in class org.apache.spark.status.LiveTask
errorMessageCell(String) - Static method in class org.apache.spark.ui.UIUtils
ErrorMessageFormat - Class in org.apache.spark
ErrorMessageFormat() - Constructor for class org.apache.spark.ErrorMessageFormat
errorReader() - Static method in class org.apache.spark.SparkThrowableHelper
ErrorStateInfo - Class in org.apache.spark: Information associated with an error state / SQLSTATE.
ErrorStateInfo(String, String, String, List<String>) - Constructor for class org.apache.spark.ErrorStateInfo
ErrorSubInfo - Class in org.apache.spark: Information associated with an error subclass.
ErrorSubInfo(Seq<String>, Option<BreakingChangeInfo>) - Constructor for class org.apache.spark.ErrorSubInfo
errorSummary(String) - Static method in class org.apache.spark.ui.UIUtils: This function works exactly the same as utils.errorSummary(javascript), it shall be
escapeMetaCharacters(String) - Static method in class org.apache.spark.sql.util.SchemaUtils
escapeMetaCharacters(String) - Static method in class org.apache.spark.util.SparkSchemaUtils
estimate(double[]) - Method in class org.apache.spark.mllib.stat.KernelDensity: Estimates probability density function at the given array of points.
estimate(Object) - Static method in class org.apache.spark.util.SizeEstimator: Estimate the number of bytes that the given object takes up on the JVM heap.
estimateCount(Object) - Method in class org.apache.spark.util.sketch.CountMinSketch: Returns the estimated frequency of item.
estimatedDocConcentration() - Method in class org.apache.spark.ml.clustering.LDAModel: Value for LDAModel.docConcentration() estimated from data.
estimatedSize() - Method in class org.apache.spark.storage.memory.DeserializedValuesHolder
estimatedSize() - Method in class org.apache.spark.storage.memory.SerializedValuesHolder
estimatedSize() - Method in interface org.apache.spark.storage.memory.ValuesHolder
estimatedSize() - Method in interface org.apache.spark.util.KnownSizeEstimation
estimateMatadataSize() - Method in interface org.apache.spark.ml.param.Params
estimateModelSize(Dataset<?>) - Method in class org.apache.spark.ml.classification.FMClassifier
estimateModelSize(Dataset<?>) - Method in class org.apache.spark.ml.recommendation.ALS
estimateModelSize(Dataset<?>) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression
estimateModelSize(Dataset<?>) - Method in class org.apache.spark.ml.regression.LinearRegression
estimateStatistics() - Method in interface org.apache.spark.sql.connector.read.SupportsReportStatistics: Returns the estimated statistics of this data source scan.
estimator() - Method in class org.apache.spark.ml.FitEnd
estimator() - Method in class org.apache.spark.ml.FitStart
estimator() - Method in class org.apache.spark.ml.tuning.CrossValidator
estimator() - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
estimator() - Method in class org.apache.spark.ml.tuning.TrainValidationSplit
estimator() - Method in class org.apache.spark.ml.tuning.TrainValidationSplitModel
estimator() - Method in interface org.apache.spark.ml.tuning.ValidatorParams: param for the estimator to be validated
Estimator<M extends Model<M>> - Class in org.apache.spark.ml: Abstract class for estimators that fit models to data.
Estimator() - Constructor for class org.apache.spark.ml.Estimator
estimatorParamMaps() - Method in class org.apache.spark.ml.tuning.CrossValidator
estimatorParamMaps() - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
estimatorParamMaps() - Method in class org.apache.spark.ml.tuning.TrainValidationSplit
estimatorParamMaps() - Method in class org.apache.spark.ml.tuning.TrainValidationSplitModel
estimatorParamMaps() - Method in interface org.apache.spark.ml.tuning.ValidatorParams: param for estimator param maps
EstimatorUtils - Class in org.apache.spark.ml
EstimatorUtils() - Constructor for class org.apache.spark.ml.EstimatorUtils
eval() - Method in interface org.apache.spark.ml.ann.ActivationFunction: Implements a function
eval(int, Seq<Iterator<T>>) - Method in interface org.apache.spark.PartitionEvaluator: Evaluates the RDD partition at the given index.
eval(DenseMatrix<Object>, DenseMatrix<Object>) - Method in interface org.apache.spark.ml.ann.LayerModel: Evaluates the data (process the data through the layer).
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.classification.FMClassificationModel: Evaluates the model on a test dataset.
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.classification.LinearSVCModel: Evaluates the model on a test dataset.
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.classification.LogisticRegressionModel: Evaluates the model on a test dataset.
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel: Evaluates the model on a test dataset.
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel: Evaluates the model on a test dataset.
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.Evaluator: Evaluates model output and returns a scalar metric.
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.MultilabelClassificationEvaluator
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.RankingEvaluator
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.RegressionEvaluator
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel: Evaluate the model on the given dataset, returning a summary of the results.
evaluate(Dataset<?>) - Method in class org.apache.spark.ml.regression.LinearRegressionModel: Evaluates the model on a test dataset.
evaluate(Dataset<?>, ParamMap) - Method in class org.apache.spark.ml.evaluation.Evaluator: Evaluates model output and returns a scalar metric.
evaluate(Row) - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

Calculates the final result of this UserDefinedAggregateFunction based on the given aggregation buffer.
evaluateEachIteration(RDD<org.apache.spark.ml.feature.Instance>, DecisionTreeRegressionModel[], double[], Loss, Enumeration.Value) - Static method in class org.apache.spark.ml.tree.impl.GradientBoostedTrees: Method to compute error or loss for every iteration of gradient boosting.
evaluateEachIteration(RDD<LabeledPoint>, Loss) - Method in class org.apache.spark.mllib.tree.model.GradientBoostedTreesModel: Method to compute error or loss for every iteration of gradient boosting.
evaluateEachIteration(Dataset<?>) - Method in class org.apache.spark.ml.classification.GBTClassificationModel: Method to compute error or loss for every iteration of gradient boosting.
evaluateEachIteration(Dataset<?>, String) - Method in class org.apache.spark.ml.regression.GBTRegressionModel: Method to compute error or loss for every iteration of gradient boosting.
evaluator() - Method in class org.apache.spark.ml.tuning.CrossValidator
evaluator() - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
evaluator() - Method in class org.apache.spark.ml.tuning.TrainValidationSplit
evaluator() - Method in class org.apache.spark.ml.tuning.TrainValidationSplitModel
evaluator() - Method in interface org.apache.spark.ml.tuning.ValidatorParams: param for the evaluator used to select hyper-parameters that maximize the validated metric
Evaluator - Class in org.apache.spark.ml.evaluation: Abstract class for evaluators that compute metrics from predictions.
Evaluator() - Constructor for class org.apache.spark.ml.evaluation.Evaluator
EVENT_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
eventRates() - Method in class org.apache.spark.status.api.v1.streaming.ReceiverInfo
eventTime() - Method in class org.apache.spark.sql.streaming.StreamingQueryProgress
eventTime() - Method in interface org.apache.spark.storage.LogLine
eventTime() - Method in class org.apache.spark.storage.PythonWorkerLogLine
eventTime() - Method in class org.apache.spark.storage.TestLogLine
EventTime() - Static method in class org.apache.spark.sql.streaming.TimeMode: Stateful processor that uses event time to register timers.
EventTimeTimeout() - Static method in class org.apache.spark.sql.streaming.GroupStateTimeout: Timeout based on event-time.
every(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns true if all values of e are true.
EXCEED_MAX_EXECUTOR_FAILURES() - Static method in class org.apache.spark.util.SparkExitCode: Exit due to executor failures exceeds the threshold.
except(Dataset<T>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset containing rows in this Dataset but not in another Dataset.
exceptAll(Dataset<T>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset containing rows in this Dataset but not in another Dataset while preserving the duplicates.
exception() - Method in class org.apache.spark.ExceptionFailure
exception() - Method in class org.apache.spark.scheduler.JobFailed
exception() - Method in interface org.apache.spark.sql.streaming.StreamingQuery: Returns the StreamingQueryException if the query was terminated by an exception.
exception() - Method in class org.apache.spark.sql.streaming.StreamingQueryListener.QueryTerminatedEvent
EXCEPTION_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
ExceptionFailure - Class in org.apache.spark: :: DeveloperApi :: Task failed due to a runtime exception.
ExceptionFailure(String, String, StackTraceElement[], String, Option<ThrowableSerializationWrapper>, Seq<AccumulableInfo>, Seq<AccumulatorV2<?, ?>>, Seq<Object>) - Constructor for class org.apache.spark.ExceptionFailure
exceptionFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
exceptionString(Throwable) - Static method in class org.apache.spark.util.Utils: Return a nice string representation of the exception.
exceptionToJson(Exception, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
EXCLUDED_IN_STAGES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
ExcludedExecutor - Class in org.apache.spark.scheduler
ExcludedExecutor(String, long) - Constructor for class org.apache.spark.scheduler.ExcludedExecutor
excludedExecutors() - Method in class org.apache.spark.status.LiveStage
excludedInStages() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
excludedNodes() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RequestExecutors
excludeFromHeartbeat() - Method in class org.apache.spark.util.AccumulatorV2
EXEC_CPU_TIME() - Static method in class org.apache.spark.status.TaskIndexNames
EXEC_RUN_TIME() - Static method in class org.apache.spark.status.TaskIndexNames
execId() - Method in class org.apache.spark.ExecutorLostFailure
execId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate
execId() - Method in class org.apache.spark.scheduler.SparkListenerStageExecutorMetrics
execId() - Method in class org.apache.spark.storage.BlockManagerMessages.RemoveExecutor
executeAndGetOutput(Seq<String>, File, Map<String, String>, boolean) - Static method in class org.apache.spark.util.Utils: Execute a command and get its output, throwing an exception if it yields a code other than 0.
executeCommand(String, String, Map<String, String>) - Method in class org.apache.spark.sql.SparkSession: Execute an arbitrary string command inside an external execution engine rather than Spark.
executeCommand(String, CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.ExternalCommandRunner: Execute the given command.
executeCommand(Seq<String>, File, Map<String, String>, boolean) - Static method in class org.apache.spark.util.Utils: Execute a command and return the process running the command.
EXECUTION_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
EXECUTION_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
ExecutionData - Class in org.apache.spark.status.api.v1.sql
ExecutionListenerManager - Class in org.apache.spark.sql.util: Manager for QueryExecutionListener.
executor() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.KillTask
executor() - Method in interface org.apache.spark.shuffle.api.ShuffleDataIO: Called once on executor processes to bootstrap the shuffle data storage modules that are only invoked on the executors.
EXECUTOR() - Static method in class org.apache.spark.metrics.MetricsSystemInstances
EXECUTOR() - Static method in class org.apache.spark.status.TaskIndexNames
EXECUTOR_CORES - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the number of executor CPU cores.
EXECUTOR_CPU_TIME() - Static method in class org.apache.spark.InternalAccumulator
EXECUTOR_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
EXECUTOR_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
EXECUTOR_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
EXECUTOR_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
EXECUTOR_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
EXECUTOR_DEFAULT_EXTRA_CLASS_PATH - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the executor default extra class path.
EXECUTOR_DEFAULT_EXTRA_CLASS_PATH_VALUE - Static variable in class org.apache.spark.launcher.SparkLauncher
EXECUTOR_DEFAULT_JAVA_OPTIONS - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the default executor VM options.
EXECUTOR_DESERIALIZE_CPU_TIME() - Static method in class org.apache.spark.InternalAccumulator
EXECUTOR_DESERIALIZE_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
EXECUTOR_DESERIALIZE_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
EXECUTOR_DESERIALIZE_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
EXECUTOR_DESERIALIZE_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
EXECUTOR_DESERIALIZE_CPU_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
EXECUTOR_DESERIALIZE_TIME() - Static method in class org.apache.spark.InternalAccumulator
EXECUTOR_DESERIALIZE_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
EXECUTOR_DESERIALIZE_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
EXECUTOR_DESERIALIZE_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
EXECUTOR_DESERIALIZE_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
EXECUTOR_DESERIALIZE_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
EXECUTOR_EXTRA_CLASSPATH - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the executor class path.
EXECUTOR_EXTRA_JAVA_OPTIONS - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the executor VM options.
EXECUTOR_EXTRA_LIBRARY_PATH - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the executor native library path.
EXECUTOR_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
EXECUTOR_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
EXECUTOR_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
EXECUTOR_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
EXECUTOR_LOGS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
EXECUTOR_LOGS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
EXECUTOR_MEMORY - Static variable in class org.apache.spark.launcher.SparkLauncher: Configuration key for the executor memory.
EXECUTOR_METRICS_DISTRIBUTIONS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
EXECUTOR_METRICS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
EXECUTOR_RESOURCES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
EXECUTOR_RUN_TIME() - Static method in class org.apache.spark.InternalAccumulator
EXECUTOR_RUN_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
EXECUTOR_RUN_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
EXECUTOR_RUN_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
EXECUTOR_RUN_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
EXECUTOR_RUN_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
EXECUTOR_SUMMARY_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
executorAddedFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
executorAddedToJson(SparkListenerExecutorAdded, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
executorCpuTime() - Method in class org.apache.spark.status.api.v1.StageData
executorCpuTime() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
executorCpuTime() - Method in class org.apache.spark.status.api.v1.TaskMetrics
executorDecommission(String) - Method in interface org.apache.spark.scheduler.Schedulable
executorDecommission(String, ExecutorDecommissionInfo) - Method in interface org.apache.spark.scheduler.TaskScheduler: Process a decommissioning executor.
ExecutorDecommissioning(String) - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.ExecutorDecommissioning
ExecutorDecommissioning$() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.ExecutorDecommissioning$
ExecutorDecommissionSigReceived$() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.ExecutorDecommissionSigReceived$
executorDeserializeCpuTime() - Method in class org.apache.spark.status.api.v1.StageData
executorDeserializeCpuTime() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
executorDeserializeCpuTime() - Method in class org.apache.spark.status.api.v1.TaskMetrics
executorDeserializeTime() - Method in class org.apache.spark.status.api.v1.StageData
executorDeserializeTime() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
executorDeserializeTime() - Method in class org.apache.spark.status.api.v1.TaskMetrics
executorFailures() - Method in class org.apache.spark.scheduler.SparkListenerNodeBlacklisted: Deprecated.
executorFailures() - Method in class org.apache.spark.scheduler.SparkListenerNodeBlacklistedForStage: Deprecated.
executorFailures() - Method in class org.apache.spark.scheduler.SparkListenerNodeExcluded
executorFailures() - Method in class org.apache.spark.scheduler.SparkListenerNodeExcludedForStage
executorHeartbeatReceived(String, Tuple2<Object, Seq<AccumulatorV2<?, ?>>>[], BlockManagerId, Map<Tuple2<Object, Object>, ExecutorMetrics>) - Method in interface org.apache.spark.scheduler.TaskScheduler: Update metrics for in-progress tasks and executor metrics, and let the master know that the BlockManager is still alive.
executorHost() - Method in class org.apache.spark.scheduler.cluster.ExecutorInfo
executorHost() - Method in class org.apache.spark.status.api.v1.streaming.ReceiverInfo
executorId() - Method in class org.apache.spark.ExecutorRegistered
executorId() - Method in class org.apache.spark.ExecutorRemoved
executorId() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.ExecutorDecommissioning
executorId() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.GetExecutorLossReason
executorId() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.IsExecutorAlive
executorId() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.LaunchedExecutor
executorId() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RegisterExecutor
executorId() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RemoveExecutor
executorId() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.StatusUpdate
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorAdded
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorBlacklisted: Deprecated.
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorBlacklistedForStage: Deprecated.
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorExcluded
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorExcludedForStage
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorRemoved
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorUnblacklisted: Deprecated.
executorId() - Method in class org.apache.spark.scheduler.SparkListenerExecutorUnexcluded
executorId() - Method in class org.apache.spark.scheduler.TaskInfo
executorId() - Method in class org.apache.spark.SparkEnv
executorId() - Method in class org.apache.spark.status.api.v1.streaming.ReceiverInfo
executorId() - Method in class org.apache.spark.status.api.v1.TaskData
executorId() - Method in class org.apache.spark.status.LiveRDDDistribution
executorId() - Method in class org.apache.spark.storage.BlockManagerId
executorId() - Method in class org.apache.spark.storage.BlockManagerMessages.GetExecutorEndpointRef
executorId() - Method in class org.apache.spark.storage.BlockManagerMessages.IsExecutorAlive
executorId() - Method in class org.apache.spark.storage.LogBlockId
executorId() - Method in class org.apache.spark.storage.PythonWorkerLogBlockId
executorId() - Method in class org.apache.spark.storage.TestLogBlockId
executorId() - Method in class org.apache.spark.streaming.scheduler.ReceiverInfo
executorId() - Method in class org.apache.spark.ui.storage.ExecutorStreamSummary
executorID() - Method in interface org.apache.spark.api.plugin.PluginContext: Executor ID of the process.
executorIds() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.KillExecutors
executorIds() - Method in class org.apache.spark.storage.BlockManagerMessages.DecommissionBlockManagers
executorInfo() - Method in class org.apache.spark.scheduler.SparkListenerExecutorAdded
ExecutorInfo - Class in org.apache.spark.scheduler.cluster: :: DeveloperApi :: Stores information about an executor to pass from the scheduler to SparkListeners.
ExecutorInfo(String, int, Map<String, String>) - Constructor for class org.apache.spark.scheduler.cluster.ExecutorInfo
ExecutorInfo(String, int, Map<String, String>, Map<String, String>) - Constructor for class org.apache.spark.scheduler.cluster.ExecutorInfo
ExecutorInfo(String, int, Map<String, String>, Map<String, String>, Map<String, ResourceInformation>) - Constructor for class org.apache.spark.scheduler.cluster.ExecutorInfo
ExecutorInfo(String, int, Map<String, String>, Map<String, String>, Map<String, ResourceInformation>, int) - Constructor for class org.apache.spark.scheduler.cluster.ExecutorInfo
ExecutorInfo(String, int, Map<String, String>, Map<String, String>, Map<String, ResourceInformation>, int, Option<Object>, Option<Object>) - Constructor for class org.apache.spark.scheduler.cluster.ExecutorInfo
executorInfoFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
executorInfoToJson(ExecutorInfo, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
ExecutorKilled - Class in org.apache.spark.scheduler
ExecutorKilled() - Constructor for class org.apache.spark.scheduler.ExecutorKilled
executorLogs() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
executorLogs() - Method in class org.apache.spark.status.api.v1.TaskData
ExecutorLossMessage - Class in org.apache.spark.scheduler
ExecutorLossMessage() - Constructor for class org.apache.spark.scheduler.ExecutorLossMessage
executorLost(String, String, ExecutorLossReason) - Method in interface org.apache.spark.scheduler.Schedulable
executorLost(String, ExecutorLossReason) - Method in interface org.apache.spark.scheduler.TaskScheduler: Process a lost executor
ExecutorLostFailure - Class in org.apache.spark: :: DeveloperApi :: The task failed because the executor that it was running on was lost.
ExecutorLostFailure(String, boolean, Option<String>) - Constructor for class org.apache.spark.ExecutorLostFailure
executorMetrics() - Method in class org.apache.spark.scheduler.SparkListenerStageExecutorMetrics
executorMetrics() - Method in class org.apache.spark.status.api.v1.ExecutorPeakMetricsDistributions
executorMetricsDistributions() - Method in class org.apache.spark.status.api.v1.StageData
ExecutorMetricsDistributions - Class in org.apache.spark.status.api.v1
executorMetricsFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol: Extract the executor metrics from JSON.
ExecutorMetricsSerializer - Class in org.apache.spark.status.protobuf
ExecutorMetricsSerializer() - Constructor for class org.apache.spark.status.protobuf.ExecutorMetricsSerializer
executorMetricsToJson(ExecutorMetrics, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol: Convert executor metrics to JSON.
executorMetricsUpdateFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
executorMetricsUpdateToJson(SparkListenerExecutorMetricsUpdate, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
ExecutorMetricType - Interface in org.apache.spark.metrics: Executor metric types for executor-level metrics stored in ExecutorMetrics.
executorOffHeapMemorySizeAsMb(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Convert MEMORY_OFFHEAP_SIZE to MB Unit, return 0 if MEMORY_OFFHEAP_ENABLED is false.
executorPct() - Method in class org.apache.spark.scheduler.RuntimePercentage
ExecutorPeakMetricsDistributions - Class in org.apache.spark.status.api.v1
executorPlugin() - Method in interface org.apache.spark.api.plugin.SparkPlugin: Return the plugin's executor-side component.
ExecutorPlugin - Interface in org.apache.spark.api.plugin: :: DeveloperApi :: Executor component of a SparkPlugin.
executorRef() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RegisterExecutor
ExecutorRegistered - Class in org.apache.spark
ExecutorRegistered(String) - Constructor for class org.apache.spark.ExecutorRegistered
ExecutorRemoved - Class in org.apache.spark
ExecutorRemoved(String) - Constructor for class org.apache.spark.ExecutorRemoved
executorRemovedFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
executorRemovedToJson(SparkListenerExecutorRemoved, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
ExecutorResourceRequest - Class in org.apache.spark.resource: An Executor resource request.
ExecutorResourceRequest(String, long, String, String) - Constructor for class org.apache.spark.resource.ExecutorResourceRequest
executorResourceRequestFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
executorResourceRequestMapFromJson(JsonNode) - Static method in class org.apache.spark.util.JsonProtocol
executorResourceRequestMapToJson(Map<String, ExecutorResourceRequest>, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
ExecutorResourceRequests - Class in org.apache.spark.resource: A set of Executor resource requests.
ExecutorResourceRequests() - Constructor for class org.apache.spark.resource.ExecutorResourceRequests
executorResourceRequestToJson(ExecutorResourceRequest, JsonGenerator) - Static method in class org.apache.spark.util.JsonProtocol
executorResourceRequestToRequirement(Seq<ExecutorResourceRequest>) - Static method in class org.apache.spark.resource.ResourceUtils
executorResources() - Method in class org.apache.spark.resource.ResourceProfile
executorResources() - Method in class org.apache.spark.resource.ResourceProfileBuilder
executorResources() - Method in class org.apache.spark.status.api.v1.ResourceProfileInfo
executorResources() - Method in class org.apache.spark.status.LiveResourceProfile
executorResourcesJMap() - Method in class org.apache.spark.resource.ResourceProfile: (Java-specific) gets a Java Map of resources to ExecutorResourceRequest
executorResourcesJMap() - Method in class org.apache.spark.resource.ResourceProfileBuilder: (Java-specific) gets a Java Map of resources to ExecutorResourceRequest
ExecutorResourcesOrDefaults$() - Constructor for class org.apache.spark.resource.ResourceProfile.ExecutorResourcesOrDefaults$
executorRunTime() - Method in class org.apache.spark.status.api.v1.StageData
executorRunTime() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
executorRunTime() - Method in class org.apache.spark.status.api.v1.TaskMetrics
executors() - Method in class org.apache.spark.status.api.v1.RDDPartitionInfo
executors() - Method in class org.apache.spark.status.LiveRDDPartition
EXECUTORS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
ExecutorStageSummary - Class in org.apache.spark.status.api.v1
ExecutorStageSummarySerializer - Class in org.apache.spark.status.protobuf
ExecutorStageSummarySerializer() - Constructor for class org.apache.spark.status.protobuf.ExecutorStageSummarySerializer
ExecutorStreamSummary - Class in org.apache.spark.ui.storage
ExecutorStreamSummary(Seq<org.apache.spark.status.StreamBlockData>) - Constructor for class org.apache.spark.ui.storage.ExecutorStreamSummary
executorSummaries() - Method in class org.apache.spark.status.LiveStage
executorSummary() - Method in class org.apache.spark.status.api.v1.StageData
executorSummary(String) - Method in class org.apache.spark.status.LiveStage
ExecutorSummary - Class in org.apache.spark.status.api.v1
executorUpdates() - Method in class org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate
exists() - Method in class org.apache.spark.sql.Dataset: Return a Column object for an EXISTS Subquery.
exists() - Method in interface org.apache.spark.sql.streaming.GroupState: Whether state exists or not.
exists() - Method in interface org.apache.spark.sql.streaming.ListState: Function to check whether state exists for current grouping key or not.
exists() - Method in interface org.apache.spark.sql.streaming.MapState: Function to check whether any user map entry exists for current grouping key or not.
exists() - Method in interface org.apache.spark.sql.streaming.ValueState: Function to check whether state exists for current grouping key or not.
exists() - Method in class org.apache.spark.streaming.State: Whether the state already exists
exists(String) - Static method in class org.apache.spark.sql.types.UDTRegistration: Queries if a given user class is already registered or not.
exists(Column, Function1<Column, Column>) - Static method in class org.apache.spark.sql.functions: Returns whether a predicate holds for one or more elements in the array.
EXIT_FAILURE() - Static method in class org.apache.spark.util.SparkExitCode: Failed termination.
EXIT_SUCCESS() - Static method in class org.apache.spark.util.SparkExitCode: Successful termination.
exitCausedByApp() - Method in class org.apache.spark.ExecutorLostFailure
exitCode() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.Shutdown
exitCode() - Method in class org.apache.spark.scheduler.SparkListenerApplicationEnd
exitFn() - Method in interface org.apache.spark.util.CommandLineLoggingUtils
exp(String) - Static method in class org.apache.spark.sql.functions: Computes the exponential of the given column.
exp(Column) - Static method in class org.apache.spark.sql.functions: Computes the exponential of the given value.
ExpectationAggregator - Class in org.apache.spark.ml.clustering: ExpectationAggregator computes the partial expectation results.
ExpectationAggregator(int, Broadcast<double[]>, Broadcast<Tuple2<DenseVector, DenseVector>[]>) - Constructor for class org.apache.spark.ml.clustering.ExpectationAggregator
ExpectationSum - Class in org.apache.spark.mllib.clustering
ExpectationSum(double, double[], DenseVector<Object>[], DenseMatrix<Object>[]) - Constructor for class org.apache.spark.mllib.clustering.ExpectationSum
expectedDataType() - Method in interface org.apache.spark.sql.connector.read.VariantExtraction: Returns the expected data type for the extracted value.
expectedFpp() - Method in class org.apache.spark.util.sketch.BloomFilter: Returns the probability that BloomFilter.mightContain(Object) erroneously return true for an object that has not actually been put in the BloomFilter.
experimental() - Method in class org.apache.spark.sql.SparkSession: :: Experimental :: A collection of methods that are considered experimental, but can be used to hook into the query planner for advanced functionality.
experimental() - Method in class org.apache.spark.sql.SQLContext: :: Experimental :: A collection of methods that are considered experimental, but can be used to hook into the query planner for advanced functionality.
ExperimentalMethods - Class in org.apache.spark.sql: :: Experimental :: Holder for experimental methods for the bravest.
ExpireDeadHosts - Class in org.apache.spark
ExpireDeadHosts() - Constructor for class org.apache.spark.ExpireDeadHosts
ExpiredTimerInfo - Interface in org.apache.spark.sql.streaming: Class used to provide access to expired timer's expiry time.
expiryTime() - Method in class org.apache.spark.scheduler.ExcludedExecutor
explain() - Method in class org.apache.spark.sql.Dataset: Prints the physical plan to the console for debugging purposes.
explain() - Method in interface org.apache.spark.sql.streaming.StreamingQuery: Prints the physical plan to the console for debugging purposes.
explain(boolean) - Method in class org.apache.spark.sql.Column: Prints the expression to the console for debugging purposes.
explain(boolean) - Method in class org.apache.spark.sql.Dataset: Prints the plans (logical and physical) to the console for debugging purposes.
explain(boolean) - Method in interface org.apache.spark.sql.streaming.StreamingQuery: Prints the physical plan to the console for debugging purposes.
explain(String) - Method in class org.apache.spark.sql.Dataset: Prints the plans (logical and physical) with a format specified by a given explain mode.
explainedVariance() - Method in class org.apache.spark.ml.feature.PCAModel
explainedVariance() - Method in class org.apache.spark.ml.regression.LinearRegressionSummary: Returns the explained variance regression score.
explainedVariance() - Method in class org.apache.spark.mllib.evaluation.RegressionMetrics: Returns the variance explained by regression.
explainedVariance() - Method in class org.apache.spark.mllib.feature.PCAModel
explainParam(Param<?>) - Method in interface org.apache.spark.ml.param.Params: Explains a param.
explainParams() - Method in interface org.apache.spark.ml.param.Params: Explains all params of this instance.
explode(String, String, Function1<A, IterableOnce>, TypeTags.TypeTag) - Method in class org.apache.spark.sql.Dataset: Deprecated.
use flatMap() or select() with functions.explode() instead. Since 2.0.0.
explode(Column) - Static method in class org.apache.spark.sql.functions: Creates a new row for each element in the given array or map column.
explode(Column) - Method in class org.apache.spark.sql.TableValuedFunction: Creates a DataFrame containing a new row for each element in the given array or map column.
explode(Seq<Column>, Function1<Row, IterableOnce<A>>, TypeTags.TypeTag<A>) - Method in class org.apache.spark.sql.Dataset: Deprecated.
use flatMap() or select() with functions.explode() instead. Since 2.0.0.
explode_outer(Column) - Static method in class org.apache.spark.sql.functions: Creates a new row for each element in the given array or map column.
explode_outer(Column) - Method in class org.apache.spark.sql.TableValuedFunction: Creates a DataFrame containing a new row for each element in the given array or map column.
explodeNestedFieldNames(StructType) - Static method in class org.apache.spark.sql.util.SchemaUtils: Returns all column names in this schema as a flat list.
expm1(String) - Static method in class org.apache.spark.sql.functions: Computes the exponential of the given column minus one.
expm1(Column) - Static method in class org.apache.spark.sql.functions: Computes the exponential of the given value minus one.
ExponentialGenerator - Class in org.apache.spark.mllib.random: Generates i.i.d.
ExponentialGenerator(double) - Constructor for class org.apache.spark.mllib.random.ExponentialGenerator
exponentialJavaRDD(JavaSparkContext, double, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.exponentialJavaRDD with the default number of partitions and the default seed.
exponentialJavaRDD(JavaSparkContext, double, long, int) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.exponentialJavaRDD with the default seed.
exponentialJavaRDD(JavaSparkContext, double, long, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Java-friendly version of RandomRDDs.exponentialRDD.
exponentialJavaVectorRDD(JavaSparkContext, double, long, int) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.exponentialJavaVectorRDD with the default number of partitions and the default seed.
exponentialJavaVectorRDD(JavaSparkContext, double, long, int, int) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.exponentialJavaVectorRDD with the default seed.
exponentialJavaVectorRDD(JavaSparkContext, double, long, int, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Java-friendly version of RandomRDDs.exponentialVectorRDD.
exponentialRDD(SparkContext, double, long, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Generates an RDD comprised of i.i.d. samples from the exponential distribution with the input mean.
exponentialVectorRDD(SparkContext, double, long, int, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Generates an RDD[Vector] with vectors containing i.i.d. samples drawn from the exponential distribution with the input mean.
ExposedBufferByteArrayOutputStream - Class in org.apache.spark.util: Subclass of ByteArrayOutputStream that exposes `buf` directly.
ExposedBufferByteArrayOutputStream(int) - Constructor for class org.apache.spark.util.ExposedBufferByteArrayOutputStream
expr(String) - Static method in class org.apache.spark.sql.functions: Parses the expression string into the column that it represents, similar to Dataset.selectExpr(java.lang.String...).
expression() - Method in class org.apache.spark.sql.connector.expressions.Cast
expression() - Method in interface org.apache.spark.sql.connector.expressions.SortOrder: Returns the sort expression.
Expression - Interface in org.apache.spark.sql.connector.expressions: Base class of the public logical expression API.
expressionDataType() - Method in class org.apache.spark.sql.connector.expressions.Cast
Expressions - Class in org.apache.spark.sql.connector.expressions: Helper methods to create logical transforms to pass into Spark.
ExtendedExplainGenerator - Interface in org.apache.spark.sql: A trait for a session extension to implement that provides addition explain plan information.
EXTERNAL_TABLE_TYPE - Static variable in interface org.apache.spark.sql.connector.catalog.TableSummary
ExternalClusterManager - Interface in org.apache.spark.scheduler: A cluster manager interface to plugin external scheduler.
ExternalCommandRunner - Interface in org.apache.spark.sql.connector: An interface to execute an arbitrary string command inside an external execution engine rather than Spark.
externalShuffleServicePort(SparkConf) - Static method in class org.apache.spark.storage.StorageUtils: Get the port used by the external shuffle service.
extract(Column, Column) - Static method in class org.apache.spark.sql.functions: Extracts a part of the date/timestamp or interval source.
Extract - Class in org.apache.spark.sql.connector.expressions: Represent an extract function, which extracts and returns the value of a specified datetime field from a datetime or interval value expression.
Extract(String, Expression) - Constructor for class org.apache.spark.sql.connector.expressions.Extract
ExtractableLiteral - Class in org.apache.spark.sql.columnar
ExtractableLiteral() - Constructor for class org.apache.spark.sql.columnar.ExtractableLiteral
extractAsDuration() - Method in class org.apache.spark.unsafe.types.CalendarInterval: Extracts the time part of the interval.
extractAsPeriod() - Method in class org.apache.spark.unsafe.types.CalendarInterval: Extracts the date part of the interval.
extractCatalog(CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.catalog.SupportsCatalogOptions: Return the name of a catalog that can be used to check the existence of, load, and create a table for this DataSource given the identifier that will be extracted by extractIdentifier.
extractDistribution(Function1<BatchInfo, Option<Object>>) - Method in class org.apache.spark.streaming.scheduler.StatsReportListener
extractDoubleDistribution(Seq<Tuple2<TaskInfo, TaskMetrics>>, Function2<TaskInfo, TaskMetrics, Object>) - Static method in class org.apache.spark.scheduler.StatsReportListener
extractFn() - Method in class org.apache.spark.ui.JettyUtils.ServletParams
extractHostPortFromSparkUrl(String) - Static method in class org.apache.spark.util.Utils: Return a pair of host and port extracted from the sparkUrl.
extractIdentifier(CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.catalog.SupportsCatalogOptions: Return a Identifier instance that can identify a table for a DataSource given DataFrame[Reader|Writer] options.
extractLongDistribution(Seq<Tuple2<TaskInfo, TaskMetrics>>, Function2<TaskInfo, TaskMetrics, Object>) - Static method in class org.apache.spark.scheduler.StatsReportListener
extractMavenCoordinates(String) - Static method in class org.apache.spark.util.MavenUtils: Extracts maven coordinates from a comma-delimited string.
extractMetadataColumns(DataSourceV2Relation) - Static method in class org.apache.spark.sql.connector.catalog.V2TableUtil: Extracts original column info for all metadata attributes in the relation.
extractParamMap() - Method in interface org.apache.spark.ml.param.Params: extractParamMap with no extra values.
extractParamMap(ParamMap) - Method in interface org.apache.spark.ml.param.Params: Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra.
extractTimeTravelTimestamp(CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.catalog.SupportsCatalogOptions: Extracts the timestamp string for time travel from the given options.
extractTimeTravelVersion(CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.catalog.SupportsCatalogOptions: Extracts the version string for time travel from the given options.
extractWeightedLabeledPoints(Dataset<?>) - Method in interface org.apache.spark.ml.regression.IsotonicRegressionBase: Extracts (label, feature, weight) from input dataset.
extraOptimizations() - Method in class org.apache.spark.sql.ExperimentalMethods
extraStrategies() - Method in class org.apache.spark.sql.ExperimentalMethods: Allows extra strategies to be injected into the query planner at runtime.
eye(int) - Static method in class org.apache.spark.ml.linalg.DenseMatrix: Generate an Identity Matrix in DenseMatrix format.
eye(int) - Static method in class org.apache.spark.ml.linalg.Matrices: Generate a dense Identity Matrix in Matrix format.
eye(int) - Static method in class org.apache.spark.mllib.linalg.DenseMatrix: Generate an Identity Matrix in DenseMatrix format.
eye(int) - Static method in class org.apache.spark.mllib.linalg.Matrices: Generate a dense Identity Matrix in Matrix format.

F

f1Measure() - Method in class org.apache.spark.mllib.evaluation.MultilabelMetrics: Returns document-based f1-measure averaged by the number of documents
f1Measure(double) - Method in class org.apache.spark.mllib.evaluation.MultilabelMetrics: Returns f1-measure for a given label (category)
factorial(Column) - Static method in class org.apache.spark.sql.functions: Computes the factorial of the given value.
FactorizationMachines - Interface in org.apache.spark.ml.regression
FactorizationMachinesParams - Interface in org.apache.spark.ml.regression: Params for Factorization Machines
factors() - Method in class org.apache.spark.ml.classification.FMClassificationModel
factors() - Method in class org.apache.spark.ml.regression.FMRegressionModel
factorSize() - Method in class org.apache.spark.ml.classification.FMClassificationModel
factorSize() - Method in class org.apache.spark.ml.classification.FMClassifier
factorSize() - Method in interface org.apache.spark.ml.regression.FactorizationMachinesParams: Param for dimensionality of the factors (>= 0)
factorSize() - Method in class org.apache.spark.ml.regression.FMRegressionModel
factorSize() - Method in class org.apache.spark.ml.regression.FMRegressor
failed() - Method in class org.apache.spark.scheduler.TaskInfo
FAILED - Enum constant in enum class org.apache.spark.JobExecutionStatus
FAILED - Enum constant in enum class org.apache.spark.launcher.SparkAppHandle.State: The application finished with a failed status.
FAILED - Enum constant in enum class org.apache.spark.status.api.v1.StageStatus
FAILED - Enum constant in enum class org.apache.spark.status.api.v1.TaskStatus
FAILED() - Static method in class org.apache.spark.TaskState
FAILED_TASKS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
FAILED_TASKS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
FAILED_TASKS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
failedJobIds() - Method in class org.apache.spark.status.api.v1.sql.ExecutionData
failedStages() - Method in class org.apache.spark.status.LiveJob
failedTasks() - Method in class org.apache.spark.status.api.v1.ExecutorMetricsDistributions
failedTasks() - Method in class org.apache.spark.status.api.v1.ExecutorStageSummary
failedTasks() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
failedTasks() - Method in class org.apache.spark.status.LiveExecutorStageSummary
failedTasks() - Method in class org.apache.spark.status.LiveJob
failedTasks() - Method in class org.apache.spark.status.LiveStage
failOnError() - Method in class org.apache.spark.sql.connector.expressions.GetArrayItem
failure(String) - Static method in class org.apache.spark.ml.feature.RFormulaParser
Failure() - Static method in class org.apache.spark.ml.feature.RFormulaParser
FAILURE_REASON_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
failureReason() - Method in class org.apache.spark.scheduler.StageInfo: If the stage failed, the reason why.
failureReason() - Method in class org.apache.spark.status.api.v1.StageData
failureReason() - Method in class org.apache.spark.status.api.v1.streaming.OutputOperationInfo
failureReason() - Method in class org.apache.spark.streaming.scheduler.OutputOperationInfo
failureReasonCell(String, int, boolean) - Static method in class org.apache.spark.streaming.ui.UIUtils
FAIR() - Static method in class org.apache.spark.scheduler.SchedulingMode
falsePositiveRate(double) - Method in class org.apache.spark.mllib.evaluation.MulticlassMetrics: Returns false positive rate for a given label (category)
FalsePositiveRate - Class in org.apache.spark.mllib.evaluation.binary: False positive rate.
FalsePositiveRate() - Constructor for class org.apache.spark.mllib.evaluation.binary.FalsePositiveRate
falsePositiveRateByLabel() - Method in interface org.apache.spark.ml.classification.ClassificationSummary: Returns false positive rate for each label (category).
family() - Method in class org.apache.spark.ml.classification.LogisticRegression
family() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
family() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams: Param for the name of family which is a description of the label distribution to be used in the model.
family() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression
family() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase: Param for the name of family which is a description of the error distribution to be used in the model.
family() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel
Family$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.Family$
FamilyAndLink$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.FamilyAndLink$
fdr() - Method in class org.apache.spark.ml.feature.ChiSqSelector
fdr() - Method in class org.apache.spark.ml.feature.ChiSqSelectorModel
fdr() - Method in interface org.apache.spark.ml.feature.SelectorParams: The upper bound of the expected false discovery rate.
fdr() - Method in class org.apache.spark.mllib.feature.ChiSqSelector
feature() - Method in class org.apache.spark.mllib.feature.ChiSqSelectorModel.SaveLoadV1_0$.Data
feature() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData
feature() - Method in class org.apache.spark.mllib.tree.model.Split
FeatureHasher - Class in org.apache.spark.ml.feature: Feature hashing projects a set of categorical or numerical features into a feature vector of specified dimension (typically substantially smaller than that of the original feature space).
FeatureHasher() - Constructor for class org.apache.spark.ml.feature.FeatureHasher
FeatureHasher(String) - Constructor for class org.apache.spark.ml.feature.FeatureHasher
featureImportances() - Method in class org.apache.spark.ml.classification.DecisionTreeClassificationModel
featureImportances() - Method in class org.apache.spark.ml.classification.GBTClassificationModel
featureImportances() - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel
featureImportances() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressionModel
featureImportances() - Method in class org.apache.spark.ml.regression.GBTRegressionModel
featureImportances() - Method in class org.apache.spark.ml.regression.RandomForestRegressionModel
featureIndex() - Method in class org.apache.spark.ml.regression.IsotonicRegression
featureIndex() - Method in interface org.apache.spark.ml.regression.IsotonicRegressionBase: Param for the index of the feature if featuresCol is a vector column (default: 0), no effect otherwise.
featureIndex() - Method in class org.apache.spark.ml.regression.IsotonicRegressionModel
featureIndex() - Method in class org.apache.spark.ml.tree.CategoricalSplit
featureIndex() - Method in class org.apache.spark.ml.tree.ContinuousSplit
featureIndex() - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.SplitData
featureIndex() - Method in interface org.apache.spark.ml.tree.Split: Index of feature which this split tests
features() - Method in class org.apache.spark.ml.feature.LabeledPoint
features() - Method in class org.apache.spark.mllib.regression.LabeledPoint
featuresCol() - Method in interface org.apache.spark.ml.classification.LogisticRegressionSummary: Field in "predictions" which gives the features of each instance as a vector.
featuresCol() - Method in class org.apache.spark.ml.classification.LogisticRegressionSummaryImpl
featuresCol() - Method in class org.apache.spark.ml.classification.OneVsRest
featuresCol() - Method in class org.apache.spark.ml.classification.OneVsRestModel
featuresCol() - Method in class org.apache.spark.ml.clustering.BisectingKMeans
featuresCol() - Method in class org.apache.spark.ml.clustering.BisectingKMeansModel
featuresCol() - Method in class org.apache.spark.ml.clustering.ClusteringSummary
featuresCol() - Method in class org.apache.spark.ml.clustering.GaussianMixture
featuresCol() - Method in class org.apache.spark.ml.clustering.GaussianMixtureModel
featuresCol() - Method in class org.apache.spark.ml.clustering.KMeans
featuresCol() - Method in class org.apache.spark.ml.clustering.KMeansModel
featuresCol() - Method in class org.apache.spark.ml.clustering.LDA
featuresCol() - Method in class org.apache.spark.ml.clustering.LDAModel
featuresCol() - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator
featuresCol() - Method in class org.apache.spark.ml.feature.RFormula
featuresCol() - Method in class org.apache.spark.ml.feature.RFormulaModel
featuresCol() - Method in class org.apache.spark.ml.feature.ChiSqSelector
featuresCol() - Method in class org.apache.spark.ml.feature.ChiSqSelectorModel
featuresCol() - Method in class org.apache.spark.ml.feature.UnivariateFeatureSelector
featuresCol() - Method in class org.apache.spark.ml.feature.UnivariateFeatureSelectorModel
featuresCol() - Method in class org.apache.spark.ml.feature.VarianceThresholdSelector
featuresCol() - Method in class org.apache.spark.ml.feature.VarianceThresholdSelectorModel
featuresCol() - Method in interface org.apache.spark.ml.param.shared.HasFeaturesCol: Param for features column name.
featuresCol() - Method in class org.apache.spark.ml.PredictionModel
featuresCol() - Method in class org.apache.spark.ml.Predictor
featuresCol() - Method in class org.apache.spark.ml.regression.IsotonicRegression
featuresCol() - Method in class org.apache.spark.ml.regression.IsotonicRegressionModel
featuresCol() - Method in class org.apache.spark.ml.regression.LinearRegressionSummary
featureSubsetStrategy() - Method in class org.apache.spark.ml.classification.GBTClassificationModel
featureSubsetStrategy() - Method in class org.apache.spark.ml.classification.GBTClassifier
featureSubsetStrategy() - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel
featureSubsetStrategy() - Method in class org.apache.spark.ml.classification.RandomForestClassifier
featureSubsetStrategy() - Method in class org.apache.spark.ml.regression.GBTRegressionModel
featureSubsetStrategy() - Method in class org.apache.spark.ml.regression.GBTRegressor
featureSubsetStrategy() - Method in class org.apache.spark.ml.regression.RandomForestRegressionModel
featureSubsetStrategy() - Method in class org.apache.spark.ml.regression.RandomForestRegressor
featureSubsetStrategy() - Method in interface org.apache.spark.ml.tree.TreeEnsembleParams: The number of features to consider for splits at each tree node.
featureSum() - Method in class org.apache.spark.ml.evaluation.SquaredEuclideanSilhouette.ClusterStats
featureType() - Method in class org.apache.spark.ml.feature.UnivariateFeatureSelector
featureType() - Method in class org.apache.spark.ml.feature.UnivariateFeatureSelectorModel
featureType() - Method in interface org.apache.spark.ml.feature.UnivariateFeatureSelectorParams: The feature type.
featureType() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData
featureType() - Method in class org.apache.spark.mllib.tree.model.Split
FeatureType - Class in org.apache.spark.mllib.tree.configuration: Enum to describe whether a feature is "continuous" or "categorical"
FeatureType() - Constructor for class org.apache.spark.mllib.tree.configuration.FeatureType
FETCH_WAIT_TIME() - Method in class org.apache.spark.InternalAccumulator.shuffleRead$
FETCH_WAIT_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
FETCH_WAIT_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
fetchAllPushMergedLocalBlocks(LinkedHashSet<BlockId>) - Method in class org.apache.spark.storage.PushBasedFetchHelper: This is executed by the task thread when the iterator is initialized.
FetchFailed - Class in org.apache.spark: :: DeveloperApi :: Task failed to fetch shuffle data from a remote node.
FetchFailed(BlockManagerId, int, long, int, int, String) - Constructor for class org.apache.spark.FetchFailed
fetchFile(String, File, ReadOnlySparkConf, Configuration, long, boolean, boolean) - Static method in class org.apache.spark.util.Utils: Download a file or directory to target directory.
fetchPct() - Method in class org.apache.spark.scheduler.RuntimePercentage
fetchWaitTime() - Method in class org.apache.spark.status.api.v1.ShuffleReadMetricDistributions
fetchWaitTime() - Method in class org.apache.spark.status.api.v1.ShuffleReadMetrics
field() - Method in class org.apache.spark.sql.connector.expressions.Extract
field() - Method in class org.apache.spark.storage.BroadcastBlockId
fieldIndex(String) - Method in interface org.apache.spark.sql.Row: Returns the index of a given field name.
fieldIndex(String) - Method in class org.apache.spark.sql.types.StructType: Returns the index of a given field.
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddColumn
fieldNames() - Method in interface org.apache.spark.sql.connector.catalog.TableChange.ColumnChange
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.DeleteColumn
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.RenameColumn
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnComment
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnDefaultValue
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnNullability
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnPosition
fieldNames() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnType
fieldNames() - Method in interface org.apache.spark.sql.connector.expressions.NamedReference: Returns the referenced field name as an array of String parts.
fieldNames() - Method in class org.apache.spark.sql.types.StructType: Returns all field names in an array.
fields() - Method in class org.apache.spark.sql.types.StructType
fieldToString(byte) - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
fieldToString(byte) - Static method in class org.apache.spark.sql.types.YearMonthIntervalType
FIFO() - Static method in class org.apache.spark.scheduler.SchedulingMode
FileBasedTopologyMapper - Class in org.apache.spark.storage: A simple file based topology mapper.
FileBasedTopologyMapper(SparkConf) - Constructor for class org.apache.spark.storage.FileBasedTopologyMapper
files() - Method in class org.apache.spark.SparkContext
filesCount() - Method in interface org.apache.spark.sql.connector.read.HasPartitionStatistics: Returns the count of files in the partition statistics associated to this partition.
fileStream(String, Class<K>, Class<V>, Class<F>) - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format.
fileStream(String, Class<K>, Class<V>, Class<F>, Function<Path, Boolean>, boolean) - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format.
fileStream(String, Class<K>, Class<V>, Class<F>, Function<Path, Boolean>, boolean, Configuration) - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format.
fileStream(String, Function1<Path, Object>, boolean, Configuration, ClassTag<K>, ClassTag<V>, ClassTag<F>) - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format.
fileStream(String, Function1<Path, Object>, boolean, ClassTag<K>, ClassTag<V>, ClassTag<F>) - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format.
fileStream(String, ClassTag<K>, ClassTag<V>, ClassTag<F>) - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format.
fill(boolean) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null values in boolean columns with value.
fill(boolean, String[]) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null values in specified boolean columns.
fill(boolean, Seq<String>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that replaces null values in specified boolean columns.
fill(double) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null or NaN values in numeric columns with value.
fill(double, String[]) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null or NaN values in specified numeric columns.
fill(double, Seq<String>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that replaces null or NaN values in specified numeric columns.
fill(long) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null or NaN values in numeric columns with value.
fill(long, String[]) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null or NaN values in specified numeric columns.
fill(long, Seq<String>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that replaces null or NaN values in specified numeric columns.
fill(String) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null values in string columns with value.
fill(String, String[]) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null values in specified string columns.
fill(String, Seq<String>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that replaces null values in specified string columns.
fill(Map<String, Object>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: Returns a new DataFrame that replaces null values.
fill(Map<String, Object>) - Method in class org.apache.spark.sql.DataFrameNaFunctions: (Scala-specific) Returns a new DataFrame that replaces null values.
filter() - Method in class org.apache.spark.storage.BlockManagerMessages.GetMatchingBlockIds
filter(String) - Method in class org.apache.spark.sql.Dataset: Filters rows using the given SQL expression.
filter(FilterFunction<T>) - Method in class org.apache.spark.sql.Dataset: (Java-specific) Returns a new Dataset that only contains elements where func returns true.
filter(Function<Double, Boolean>) - Method in class org.apache.spark.api.java.JavaDoubleRDD: Return a new RDD containing only the elements that satisfy a predicate.
filter(Function<Tuple2<K, V>, Boolean>) - Method in class org.apache.spark.api.java.JavaPairRDD: Return a new RDD containing only the elements that satisfy a predicate.
filter(Function<Tuple2<K, V>, Boolean>) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream containing only the elements that satisfy a predicate.
filter(Function<T, Boolean>) - Method in class org.apache.spark.api.java.JavaRDD: Return a new RDD containing only the elements that satisfy a predicate.
filter(Function<T, Boolean>) - Method in class org.apache.spark.streaming.api.java.JavaDStream: Return a new DStream containing only the elements that satisfy a predicate.
filter(Params) - Method in class org.apache.spark.ml.param.ParamMap: Filters this param map for the given parent.
filter(Column) - Method in class org.apache.spark.sql.Dataset: Filters rows using the given condition.
filter(Column, Function1<Column, Column>) - Static method in class org.apache.spark.sql.functions: Returns an array of elements for which a predicate holds in a given array.
filter(Column, Function2<Column, Column, Column>) - Static method in class org.apache.spark.sql.functions: Returns an array of elements for which a predicate holds in a given array.
filter(Predicate[]) - Method in interface org.apache.spark.sql.connector.read.SupportsRuntimeFiltering
filter(Predicate[]) - Method in interface org.apache.spark.sql.connector.read.SupportsRuntimeV2Filtering: Filters this scan using runtime predicates.
filter(Filter[]) - Method in interface org.apache.spark.sql.connector.read.SupportsRuntimeFiltering: Filters this scan using runtime filters.
filter(Function1<EdgeTriplet<VD, ED>, Object>, Function2<Object, VD, Object>) - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl
filter(Function1<Graph<VD, ED>, Graph<VD2, ED2>>, Function1<EdgeTriplet<VD2, ED2>, Object>, Function2<Object, VD2, Object>, ClassTag<VD2>, ClassTag<ED2>) - Method in class org.apache.spark.graphx.GraphOps: Filter the graph by computing some values to filter on, and applying the predicates.
filter(Function1<Tuple2<Object, VD>, Object>) - Method in class org.apache.spark.graphx.VertexRDD: Restricts the vertex set to the set of vertices satisfying the given predicate.
filter(Function1<T, Object>) - Method in class org.apache.spark.rdd.RDD: Return a new RDD containing only the elements that satisfy a predicate.
filter(Function1<T, Object>) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Returns a new Dataset that only contains elements where func returns true.
filter(Function1<T, Object>) - Method in class org.apache.spark.streaming.dstream.DStream: Return a new DStream containing only the elements that satisfy a predicate.
Filter - Class in org.apache.spark.sql.sources: A filter predicate for data sources.
Filter() - Constructor for class org.apache.spark.sql.sources.Filter
filterAttributes() - Method in interface org.apache.spark.sql.connector.read.SupportsRuntimeFiltering: Returns attributes this scan can be filtered by at runtime.
filterAttributes() - Method in interface org.apache.spark.sql.connector.read.SupportsRuntimeV2Filtering: Returns attributes this scan can be filtered by at runtime.
filterByRange(Comparator<K>, K, K) - Method in class org.apache.spark.api.java.JavaPairRDD: Return a RDD containing only the elements in the inclusive range lower to upper.
filterByRange(K, K) - Method in class org.apache.spark.api.java.JavaPairRDD: Return a RDD containing only the elements in the inclusive range lower to upper.
filterByRange(K, K) - Method in class org.apache.spark.rdd.OrderedRDDFunctions: Returns an RDD containing only the elements in the inclusive range lower to upper.
FilterFunction<T> - Interface in org.apache.spark.api.java.function: Base interface for a function used in Dataset's filter function.
filterName() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.AddWebUIFilter
filterParams() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.AddWebUIFilter
finalStorageLevel() - Method in class org.apache.spark.ml.recommendation.ALS
finalStorageLevel() - Method in interface org.apache.spark.ml.recommendation.ALSParams: Param for StorageLevel for ALS model factors.
find_in_set(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the index (1-based) of the given string (str) in the comma-delimited list (strArray).
findAccessedFields(SerializedLambda, ClassLoader, Map<Class<?>, Set<String>>, Map<Class<?>, Set<String>>, Map<Class<?>, Object>, boolean) - Static method in class org.apache.spark.util.IndylambdaScalaClosures: Scans an indylambda Scala closure, along with its lexically nested closures, and populate the accessed fields info on which fields on the outer object are accessed.
findClass(String) - Method in class org.apache.spark.util.ParentClassLoader
findColumnPaths(DataType, Function1<DataType, Object>) - Static method in class org.apache.spark.sql.util.SchemaUtils: For the given dataType dt find all column paths that satisfy the given predicate f.
findColumnPosition(Seq<String>, StructType, Function2<String, String, Object>) - Static method in class org.apache.spark.sql.util.SchemaUtils: Returns the given column's ordinal within the given schema.
findFrequentSequentialPatterns(Dataset<?>) - Method in class org.apache.spark.ml.fpm.PrefixSpan: Finds the complete set of frequent sequential patterns in the input sequences of itemsets.
findListenersByClass(ClassTag<T>) - Method in interface org.apache.spark.util.ListenerBus
findMissingFields(StructType, StructType, Function2<String, String, Object>) - Static method in class org.apache.spark.sql.types.StructType: Returns a StructType that contains missing fields recursively from source to target.
findMissingPartitions() - Method in class org.apache.spark.ShuffleStatus: Returns the sequence of partition ids that are missing (i.e.
findSynonyms(String, int) - Method in class org.apache.spark.ml.feature.Word2VecModel: Find "num" number of words closest in similarity to the given word, not including the word itself.
findSynonyms(String, int) - Method in class org.apache.spark.mllib.feature.Word2VecModel: Find synonyms of a word; do not include the word itself in results.
findSynonyms(Vector, int) - Method in class org.apache.spark.ml.feature.Word2VecModel: Find "num" number of words whose vector representation is most similar to the supplied vector.
findSynonyms(Vector, int) - Method in class org.apache.spark.mllib.feature.Word2VecModel: Find synonyms of the vector representation of a word, possibly including any words in the model vocabulary whose vector representation is the supplied vector.
findSynonymsArray(String, int) - Method in class org.apache.spark.ml.feature.Word2VecModel: Find "num" number of words closest in similarity to the given word, not including the word itself.
findSynonymsArray(Vector, int) - Method in class org.apache.spark.ml.feature.Word2VecModel: Find "num" number of words whose vector representation is most similar to the supplied vector.
finish(BUF) - Method in class org.apache.spark.sql.expressions.Aggregator: Transform the output of the reduction.
finished() - Method in class org.apache.spark.scheduler.TaskInfo
FINISHED - Enum constant in enum class org.apache.spark.launcher.SparkAppHandle.State: The application finished with a successful status.
FINISHED() - Static method in class org.apache.spark.TaskState
finishTime() - Method in class org.apache.spark.scheduler.TaskInfo: The time when the task has completed successfully (including the time to remotely fetch results, if necessary).
first() - Method in class org.apache.spark.api.java.JavaDoubleRDD
first() - Method in class org.apache.spark.api.java.JavaPairRDD
first() - Method in interface org.apache.spark.api.java.JavaRDDLike: Return the first element in this RDD.
first() - Method in class org.apache.spark.rdd.RDD: Return the first element in this RDD.
first() - Static method in interface org.apache.spark.sql.connector.catalog.TableChange.ColumnPosition
first() - Method in class org.apache.spark.sql.Dataset: Returns the first row.
first(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the first value of a column in a group.
first(String, boolean) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the first value of a column in a group.
first(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the first value in a group.
first(Column, boolean) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the first value in a group.
FIRST_TASK_LAUNCHED_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
first_value(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the first value in a group.
first_value(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the first value in a group.
firstFailureReason() - Method in class org.apache.spark.status.api.v1.streaming.BatchInfo
firstLaunchTime() - Method in class org.apache.spark.status.LiveStage
firstTaskLaunchedTime() - Method in class org.apache.spark.status.api.v1.StageData
fit(JavaRDD<Vector>) - Method in class org.apache.spark.mllib.feature.IDF: Computes the inverse document frequency.
fit(JavaRDD<Vector>) - Method in class org.apache.spark.mllib.feature.PCA: Java-friendly version of fit().
fit(JavaRDD<S>) - Method in class org.apache.spark.mllib.feature.Word2Vec: Computes the vector representation of each word in vocabulary (Java version).
fit(RDD<Vector>) - Method in class org.apache.spark.mllib.feature.IDF: Computes the inverse document frequency.
fit(RDD<Vector>) - Method in class org.apache.spark.mllib.feature.PCA: Computes a PCAModel that contains the principal components of the input vectors.
fit(RDD<Vector>) - Method in class org.apache.spark.mllib.feature.StandardScaler: Computes the mean and variance and stores as a model to be used for later scaling.
fit(RDD<LabeledPoint>) - Method in class org.apache.spark.mllib.feature.ChiSqSelector: Returns a ChiSquared feature selector.
fit(RDD<S>) - Method in class org.apache.spark.mllib.feature.Word2Vec: Computes the vector representation of each word in vocabulary.
fit(Dataset<?>) - Method in class org.apache.spark.ml.classification.OneVsRest
fit(Dataset<?>) - Method in class org.apache.spark.ml.clustering.BisectingKMeans
fit(Dataset<?>) - Method in class org.apache.spark.ml.clustering.GaussianMixture
fit(Dataset<?>) - Method in class org.apache.spark.ml.clustering.KMeans
fit(Dataset<?>) - Method in class org.apache.spark.ml.clustering.LDA
fit(Dataset<?>) - Method in class org.apache.spark.ml.Estimator: Fits a model to the input data.
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.ChiSqSelector: Deprecated.
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.CountVectorizer
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.IDF
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.Imputer
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSH
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.MaxAbsScaler
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.MinMaxScaler
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.OneHotEncoder
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.PCA: Computes a PCAModel that contains the principal components of the input vectors.
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.QuantileDiscretizer
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.RFormula
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.RobustScaler
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.StandardScaler
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.StringIndexer
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.TargetEncoder
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.UnivariateFeatureSelector
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.VarianceThresholdSelector
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.VectorIndexer
fit(Dataset<?>) - Method in class org.apache.spark.ml.feature.Word2Vec
fit(Dataset<?>) - Method in class org.apache.spark.ml.fpm.FPGrowth
fit(Dataset<?>) - Method in class org.apache.spark.ml.Pipeline: Fits the pipeline to the input dataset with additional parameters.
fit(Dataset<?>) - Method in class org.apache.spark.ml.Predictor
fit(Dataset<?>) - Method in class org.apache.spark.ml.recommendation.ALS
fit(Dataset<?>) - Method in class org.apache.spark.ml.regression.IsotonicRegression
fit(Dataset<?>) - Method in class org.apache.spark.ml.tuning.CrossValidator
fit(Dataset<?>) - Method in class org.apache.spark.ml.tuning.TrainValidationSplit
fit(Dataset<?>, ParamMap) - Method in class org.apache.spark.ml.Estimator: Fits a single model to the input data with provided parameter map.
fit(Dataset<?>, ParamPair<?>, ParamPair<?>...) - Method in class org.apache.spark.ml.Estimator: Fits a single model to the input data with optional parameters.
fit(Dataset<?>, ParamPair<?>, Seq<ParamPair<?>>) - Method in class org.apache.spark.ml.Estimator: Fits a single model to the input data with optional parameters.
fit(Dataset<?>, Seq<ParamMap>) - Method in class org.apache.spark.ml.Estimator: Fits multiple models to the input data with multiple sets of parameters.
FitEnd<M extends Model<M>> - Class in org.apache.spark.ml: Event fired after Estimator.fit.
FitEnd() - Constructor for class org.apache.spark.ml.FitEnd
fitIntercept() - Method in class org.apache.spark.ml.classification.FMClassificationModel
fitIntercept() - Method in class org.apache.spark.ml.classification.FMClassifier
fitIntercept() - Method in class org.apache.spark.ml.classification.LinearSVC
fitIntercept() - Method in class org.apache.spark.ml.classification.LinearSVCModel
fitIntercept() - Method in class org.apache.spark.ml.classification.LogisticRegression
fitIntercept() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
fitIntercept() - Method in interface org.apache.spark.ml.param.shared.HasFitIntercept: Param for whether to fit an intercept term.
fitIntercept() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegression
fitIntercept() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegressionModel
fitIntercept() - Method in class org.apache.spark.ml.regression.FMRegressionModel
fitIntercept() - Method in class org.apache.spark.ml.regression.FMRegressor
fitIntercept() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression
fitIntercept() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel
fitIntercept() - Method in class org.apache.spark.ml.regression.LinearRegression
fitIntercept() - Method in class org.apache.spark.ml.regression.LinearRegressionModel
fitLinear() - Method in class org.apache.spark.ml.classification.FMClassificationModel
fitLinear() - Method in class org.apache.spark.ml.classification.FMClassifier
fitLinear() - Method in interface org.apache.spark.ml.regression.FactorizationMachinesParams: Param for whether to fit linear term (aka 1-way term)
fitLinear() - Method in class org.apache.spark.ml.regression.FMRegressionModel
fitLinear() - Method in class org.apache.spark.ml.regression.FMRegressor
FitStart<M extends Model<M>> - Class in org.apache.spark.ml: Event fired before Estimator.fit.
FitStart() - Constructor for class org.apache.spark.ml.FitStart
Fixed$() - Constructor for class org.apache.spark.sql.types.DecimalType.Fixed$
FixedLength - Class in org.apache.spark.sql.types
FixedLength(int) - Constructor for class org.apache.spark.sql.types.FixedLength
flatMap(FlatMapFunction<T, U>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return a new RDD by first applying a function to all elements of this RDD, and then flattening the results.
flatMap(FlatMapFunction<T, U>) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream by applying a function to all elements of this DStream, and then flattening the results
flatMap(FlatMapFunction<T, U>, Encoder) - Method in class org.apache.spark.sql.Dataset: (Java-specific) Returns a new Dataset by first applying a function to all elements of this Dataset, and then flattening the results.
flatMap(Function1<T, IterableOnce>, Encoder) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Returns a new Dataset by first applying a function to all elements of this Dataset, and then flattening the results.
flatMap(Function1<T, IterableOnce>, ClassTag) - Method in class org.apache.spark.rdd.RDD: Return a new RDD by first applying a function to all elements of this RDD, and then flattening the results.
flatMap(Function1<T, IterableOnce>, ClassTag) - Method in class org.apache.spark.streaming.dstream.DStream: Return a new DStream by applying a function to all elements of this DStream, and then flattening the results
FlatMapFunction<T,R> - Interface in org.apache.spark.api.java.function: A function that returns zero or more output records from each input record.
FlatMapFunction2<T1,T2,R> - Interface in org.apache.spark.api.java.function: A function that takes two inputs and returns zero or more output records.
flatMapGroups(FlatMapGroupsFunction<K, V, U>, Encoder) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Java-specific) Applies the given function to each group of data.
flatMapGroups(Function2<K, Iterator<V>, IterableOnce>, Encoder) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Scala-specific) Applies the given function to each group of data.
FlatMapGroupsFunction<K,V,R> - Interface in org.apache.spark.api.java.function: A function that returns zero or more output records from each grouping key and its values.
flatMapGroupsWithState(FlatMapGroupsWithStateFunction<K, V, S, U>, OutputMode, Encoder<S>, Encoder, GroupStateTimeout) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Java-specific) Applies the given function to each group of data, while maintaining a user-defined per-group state.
flatMapGroupsWithState(FlatMapGroupsWithStateFunction<K, V, S, U>, OutputMode, Encoder<S>, Encoder, GroupStateTimeout, KeyValueGroupedDataset<K, S>) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Java-specific) Applies the given function to each group of data, while maintaining a user-defined per-group state.
flatMapGroupsWithState(OutputMode, GroupStateTimeout, KeyValueGroupedDataset<K, S>, Function3<K, Iterator<V>, GroupState<S>, Iterator>, Encoder<S>, Encoder) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Scala-specific) Applies the given function to each group of data, while maintaining a user-defined per-group state.
flatMapGroupsWithState(OutputMode, GroupStateTimeout, Function3<K, Iterator<V>, GroupState<S>, Iterator>, Encoder<S>, Encoder) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Scala-specific) Applies the given function to each group of data, while maintaining a user-defined per-group state.
FlatMapGroupsWithStateFunction<K,V,S,R> - Interface in org.apache.spark.api.java.function: ::Experimental:: Base interface for a map function used in org.apache.spark.sql.KeyValueGroupedDataset.flatMapGroupsWithState( FlatMapGroupsWithStateFunction, org.apache.spark.sql.streaming.OutputMode, org.apache.spark.sql.Encoder, org.apache.spark.sql.Encoder)
flatMapSortedGroups(Column[], FlatMapGroupsFunction<K, V, U>, Encoder) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Java-specific) Applies the given function to each group of data.
flatMapSortedGroups(Seq<Column>, Function2<K, Iterator<V>, IterableOnce>, Encoder) - Method in class org.apache.spark.sql.KeyValueGroupedDataset: (Scala-specific) Applies the given function to each group of data.
flatMapToDouble(DoubleFlatMapFunction<T>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return a new RDD by first applying a function to all elements of this RDD, and then flattening the results.
flatMapToPair(PairFlatMapFunction<T, K2, V2>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return a new RDD by first applying a function to all elements of this RDD, and then flattening the results.
flatMapToPair(PairFlatMapFunction<T, K2, V2>) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream by applying a function to all elements of this DStream, and then flattening the results
flatMapValues(FlatMapFunction<V, U>) - Method in class org.apache.spark.api.java.JavaPairRDD: Pass each value in the key-value pair RDD through a flatMap function without changing the keys; this also retains the original RDD's partitioning.
flatMapValues(FlatMapFunction<V, U>) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying a flatmap function to the value of each key-value pairs in 'this' DStream without changing the key.
flatMapValues(Function1<V, IterableOnce>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Pass each value in the key-value pair RDD through a flatMap function without changing the keys; this also retains the original RDD's partitioning.
flatMapValues(Function1<V, IterableOnce>, ClassTag) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying a flatmap function to the value of each key-value pairs in 'this' DStream without changing the key.
flatten(Column) - Static method in class org.apache.spark.sql.functions: Creates a single array from an array of arrays.
FLOAT() - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable float type.
FloatAsIfIntegral$() - Constructor for class org.apache.spark.sql.types.FloatType.FloatAsIfIntegral$
floatColumn(String[]) - Static method in class org.apache.parquet.filter2.predicate.SparkFilterApi
FloatExactNumeric - Class in org.apache.spark.sql.types
FloatExactNumeric() - Constructor for class org.apache.spark.sql.types.FloatExactNumeric
FloatParam - Class in org.apache.spark.ml.param: Specialized version of Param[Float] for Java.
FloatParam(String, String, String) - Constructor for class org.apache.spark.ml.param.FloatParam
FloatParam(String, String, String, Function1<Object, Object>) - Constructor for class org.apache.spark.ml.param.FloatParam
FloatParam(Identifiable, String, String) - Constructor for class org.apache.spark.ml.param.FloatParam
FloatParam(Identifiable, String, String, Function1<Object, Object>) - Constructor for class org.apache.spark.ml.param.FloatParam
FloatType - Class in org.apache.spark.sql.types: The data type representing Float values.
FloatType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the FloatType object.
FloatType() - Constructor for class org.apache.spark.sql.types.FloatType
FloatType.FloatAsIfIntegral - Interface in org.apache.spark.sql.types
FloatType.FloatAsIfIntegral$ - Class in org.apache.spark.sql.types
FloatType.FloatIsConflicted - Interface in org.apache.spark.sql.types
FloatTypeExpression - Class in org.apache.spark.sql.types
FloatTypeExpression() - Constructor for class org.apache.spark.sql.types.FloatTypeExpression
floor() - Method in class org.apache.spark.sql.types.Decimal
floor(String) - Static method in class org.apache.spark.sql.functions: Computes the floor of the given column value to 0 decimal places.
floor(Column) - Static method in class org.apache.spark.sql.functions: Computes the floor of the given value of e to 0 decimal places.
floor(Column, Column) - Static method in class org.apache.spark.sql.functions: Computes the floor of the given value of e to scale decimal places.
floor(Duration) - Method in class org.apache.spark.streaming.Time
floor(Duration, Time) - Method in class org.apache.spark.streaming.Time
flush() - Method in class org.apache.spark.serializer.SerializationStream
flush() - Method in class org.apache.spark.storage.TimeTrackingOutputStream
FMClassificationModel - Class in org.apache.spark.ml.classification: Model produced by FMClassifier
FMClassificationModel.Data$ - Class in org.apache.spark.ml.classification
FMClassificationSummary - Interface in org.apache.spark.ml.classification: Abstraction for FMClassifier results for a given model.
FMClassificationSummaryImpl - Class in org.apache.spark.ml.classification: FMClassifier results for a given model.
FMClassificationSummaryImpl(Dataset<Row>, String, String, String, String) - Constructor for class org.apache.spark.ml.classification.FMClassificationSummaryImpl
FMClassificationTrainingSummary - Interface in org.apache.spark.ml.classification: Abstraction for FMClassifier training results.
FMClassificationTrainingSummaryImpl - Class in org.apache.spark.ml.classification: FMClassifier training results.
FMClassificationTrainingSummaryImpl(Dataset<Row>, String, String, String, String, double[]) - Constructor for class org.apache.spark.ml.classification.FMClassificationTrainingSummaryImpl
FMClassifier - Class in org.apache.spark.ml.classification: Factorization Machines learning algorithm for classification.
FMClassifier() - Constructor for class org.apache.spark.ml.classification.FMClassifier
FMClassifier(String) - Constructor for class org.apache.spark.ml.classification.FMClassifier
FMClassifierParams - Interface in org.apache.spark.ml.classification: Params for FMClassifier.
fMeasure(double) - Method in class org.apache.spark.mllib.evaluation.MulticlassMetrics: Returns f1-measure for a given label (category)
fMeasure(double, double) - Method in class org.apache.spark.mllib.evaluation.MulticlassMetrics: Returns f-measure for a given label (category)
fMeasureByLabel() - Method in interface org.apache.spark.ml.classification.ClassificationSummary: Returns f1-measure for each label (category).
fMeasureByLabel(double) - Method in interface org.apache.spark.ml.classification.ClassificationSummary: Returns f-measure for each label (category).
fMeasureByThreshold() - Method in interface org.apache.spark.ml.classification.BinaryClassificationSummary: Returns a dataframe with two fields (threshold, F-Measure) curve with beta = 1.0.
fMeasureByThreshold() - Method in class org.apache.spark.ml.classification.BinaryLogisticRegressionSummaryImpl
fMeasureByThreshold() - Method in class org.apache.spark.ml.classification.BinaryRandomForestClassificationSummaryImpl
fMeasureByThreshold() - Method in class org.apache.spark.ml.classification.FMClassificationSummaryImpl
fMeasureByThreshold() - Method in class org.apache.spark.ml.classification.LinearSVCSummaryImpl
fMeasureByThreshold() - Method in class org.apache.spark.mllib.evaluation.BinaryClassificationMetrics: Returns the (threshold, F-Measure) curve with beta = 1.0.
fMeasureByThreshold(double) - Method in class org.apache.spark.mllib.evaluation.BinaryClassificationMetrics: Returns the (threshold, F-Measure) curve.
FMRegressionModel - Class in org.apache.spark.ml.regression: Model produced by FMRegressor.
FMRegressionModel.Data$ - Class in org.apache.spark.ml.regression
FMRegressor - Class in org.apache.spark.ml.regression: Factorization Machines learning algorithm for regression.
FMRegressor() - Constructor for class org.apache.spark.ml.regression.FMRegressor
FMRegressor(String) - Constructor for class org.apache.spark.ml.regression.FMRegressor
FMRegressorParams - Interface in org.apache.spark.ml.regression: Params for FMRegressor
fold(T, Function2<T, T, T>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Aggregate the elements of each partition, and then the results for all the partitions, using a given associative function and a neutral "zero value".
fold(T, Function2<T, T, T>) - Method in class org.apache.spark.rdd.RDD: Aggregate the elements of each partition, and then the results for all the partitions, using a given associative function and a neutral "zero value".
foldByKey(V, int, Function2<V, V, V>) - Method in class org.apache.spark.api.java.JavaPairRDD: Merge the values for each key using an associative function and a neutral "zero value" which may be added to the result an arbitrary number of times, and must not change the result (e.g ., Nil for list concatenation, 0 for addition, or 1 for multiplication.).
foldByKey(V, int, Function2<V, V, V>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Merge the values for each key using an associative function and a neutral "zero value" which may be added to the result an arbitrary number of times, and must not change the result (e.g., Nil for list concatenation, 0 for addition, or 1 for multiplication.).
foldByKey(V, Function2<V, V, V>) - Method in class org.apache.spark.api.java.JavaPairRDD: Merge the values for each key using an associative function and a neutral "zero value" which may be added to the result an arbitrary number of times, and must not change the result (e.g., Nil for list concatenation, 0 for addition, or 1 for multiplication.).
foldByKey(V, Partitioner, Function2<V, V, V>) - Method in class org.apache.spark.api.java.JavaPairRDD: Merge the values for each key using an associative function and a neutral "zero value" which may be added to the result an arbitrary number of times, and must not change the result (e.g ., Nil for list concatenation, 0 for addition, or 1 for multiplication.).
foldByKey(V, Partitioner, Function2<V, V, V>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Merge the values for each key using an associative function and a neutral "zero value" which may be added to the result an arbitrary number of times, and must not change the result (e.g., Nil for list concatenation, 0 for addition, or 1 for multiplication.).
foldByKey(V, Function2<V, V, V>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Merge the values for each key using an associative function and a neutral "zero value" which may be added to the result an arbitrary number of times, and must not change the result (e.g., Nil for list concatenation, 0 for addition, or 1 for multiplication.).
foldCol() - Method in class org.apache.spark.ml.tuning.CrossValidator
foldCol() - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
foldCol() - Method in interface org.apache.spark.ml.tuning.CrossValidatorParams: Param for the column name of user specified fold number.
forall(Column, Function1<Column, Column>) - Static method in class org.apache.spark.sql.functions: Returns whether a predicate holds for every element in the array.
forceDeleteOnExit(File) - Method in interface org.apache.spark.util.SparkFileUtils: Registers the file or directory for deletion when the JVM exists.
forceDeleteOnExit(File) - Static method in class org.apache.spark.util.Utils
forceIndexLabel() - Method in class org.apache.spark.ml.feature.RFormula
forceIndexLabel() - Method in interface org.apache.spark.ml.feature.RFormulaBase: Force to index label whether it is numeric or string type.
forceIndexLabel() - Method in class org.apache.spark.ml.feature.RFormulaModel
foreach(ForeachFunction<T>) - Method in class org.apache.spark.sql.Dataset: (Java-specific) Runs func on each element of this Dataset.
foreach(VoidFunction<T>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Applies a function f to all elements of this RDD.
foreach(ForeachWriter<T>) - Method in class org.apache.spark.sql.streaming.DataStreamWriter: Sets the output of the streaming query to be processed using the provided writer object.
foreach(KVStoreView<T>, Function1<T, BoxedUnit>) - Static method in class org.apache.spark.status.KVUtils: Applies a function f to all values produced by KVStoreView.
foreach(Function1<T, BoxedUnit>) - Method in class org.apache.spark.rdd.RDD: Applies a function f to all elements of this RDD.
foreach(Function1<T, BoxedUnit>) - Method in class org.apache.spark.sql.Dataset: Applies a function f to all rows.
foreach(Function2<Object, Object, BoxedUnit>) - Method in interface org.apache.spark.ml.linalg.Vector: Applies a function f to all the elements of dense and sparse vector.
foreach(Function2<Object, Object, BoxedUnit>) - Method in interface org.apache.spark.mllib.linalg.Vector: Applies a function f to all the elements of dense and sparse vector.
foreachActive(Function2<Object, Object, BoxedUnit>) - Method in interface org.apache.spark.ml.linalg.Vector: Applies a function f to all the active elements of dense and sparse vector.
foreachActive(Function2<Object, Object, BoxedUnit>) - Method in interface org.apache.spark.mllib.linalg.Vector: Applies a function f to all the active elements of dense and sparse vector.
foreachActive(Function3<Object, Object, Object, BoxedUnit>) - Method in class org.apache.spark.ml.linalg.DenseMatrix
foreachActive(Function3<Object, Object, Object, BoxedUnit>) - Method in interface org.apache.spark.ml.linalg.Matrix: Applies a function f to all the active elements of dense and sparse matrix.
foreachActive(Function3<Object, Object, Object, BoxedUnit>) - Method in class org.apache.spark.ml.linalg.SparseMatrix
foreachActive(Function3<Object, Object, Object, BoxedUnit>) - Method in interface org.apache.spark.mllib.linalg.Matrix: Applies a function f to all the active elements of dense and sparse matrix.
foreachAsync(VoidFunction<T>) - Method in interface org.apache.spark.api.java.JavaRDDLike: The asynchronous version of the foreach action, which applies a function f to all the elements of this RDD.
foreachAsync(Function1<T, BoxedUnit>) - Method in class org.apache.spark.rdd.AsyncRDDActions: Applies a function f to all elements of this RDD.
foreachBatch(VoidFunction2<Dataset<T>, Long>) - Method in class org.apache.spark.sql.streaming.DataStreamWriter: :: Experimental ::
foreachBatch(Function2<Dataset<T>, Object, BoxedUnit>) - Method in class org.apache.spark.sql.streaming.DataStreamWriter: :: Experimental ::
ForeachFunction<T> - Interface in org.apache.spark.api.java.function: Base interface for a function used in Dataset's foreach function.
foreachNonZero(Function2<Object, Object, BoxedUnit>) - Method in interface org.apache.spark.ml.linalg.Vector: Applies a function f to all the non-zero elements of dense and sparse vector.
foreachNonZero(Function2<Object, Object, BoxedUnit>) - Method in interface org.apache.spark.mllib.linalg.Vector: Applies a function f to all the non-zero elements of dense and sparse vector.
foreachPartition(ForeachPartitionFunction<T>) - Method in class org.apache.spark.sql.Dataset: (Java-specific) Runs func on each partition of this Dataset.
foreachPartition(VoidFunction<Iterator<T>>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Applies a function f to each partition of this RDD.
foreachPartition(Function1<Iterator<T>, BoxedUnit>) - Method in class org.apache.spark.rdd.RDD: Applies a function f to each partition of this RDD.
foreachPartition(Function1<Iterator<T>, BoxedUnit>) - Method in class org.apache.spark.sql.Dataset: Applies a function f to each partition of this Dataset.
foreachPartitionAsync(VoidFunction<Iterator<T>>) - Method in interface org.apache.spark.api.java.JavaRDDLike: The asynchronous version of the foreachPartition action, which applies a function f to each partition of this RDD.
foreachPartitionAsync(Function1<Iterator<T>, BoxedUnit>) - Method in class org.apache.spark.rdd.AsyncRDDActions: Applies a function f to each partition of this RDD.
ForeachPartitionFunction<T> - Interface in org.apache.spark.api.java.function: Base interface for a function used in Dataset's foreachPartition function.
foreachRDD(VoidFunction<R>) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Apply a function to each RDD in this DStream.
foreachRDD(VoidFunction2<R, Time>) - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Apply a function to each RDD in this DStream.
foreachRDD(Function1<RDD<T>, BoxedUnit>) - Method in class org.apache.spark.streaming.dstream.DStream: Apply a function to each RDD in this DStream.
foreachRDD(Function2<RDD<T>, Time, BoxedUnit>) - Method in class org.apache.spark.streaming.dstream.DStream: Apply a function to each RDD in this DStream.
ForeachWriter<T> - Class in org.apache.spark.sql: The abstract class for writing custom logic to process data generated by a query.
ForeachWriter() - Constructor for class org.apache.spark.sql.ForeachWriter
FOREIGN_TABLE_TYPE - Static variable in interface org.apache.spark.sql.connector.catalog.TableSummary
foreignKey(String, NamedReference[], Identifier, NamedReference[]) - Static method in interface org.apache.spark.sql.connector.catalog.constraints.Constraint: Instantiates a builder for a FOREIGN KEY constraint.
ForeignKey - Class in org.apache.spark.sql.connector.catalog.constraints: A FOREIGN KEY constraint.
ForeignKey.Builder - Class in org.apache.spark.sql.connector.catalog.constraints
format() - Method in class org.apache.spark.ml.clustering.InternalKMeansModelWriter
format() - Method in class org.apache.spark.ml.clustering.PMMLKMeansModelWriter
format() - Method in class org.apache.spark.ml.regression.InternalLinearRegressionModelWriter
format() - Method in class org.apache.spark.ml.regression.PMMLLinearRegressionModelWriter
format() - Method in interface org.apache.spark.ml.util.MLFormatRegister: The string that represents the format that this format provider uses.
format(String) - Method in class org.apache.spark.ml.util.GeneralMLWriter: Specifies the format of ML export (e.g.
format(String) - Method in class org.apache.spark.sql.DataFrameReader: Specifies the input data source format.
format(String) - Method in class org.apache.spark.sql.DataFrameWriter: Specifies the underlying output data source.
format(String) - Method in class org.apache.spark.sql.streaming.DataStreamReader: Specifies the input data source format.
format(String) - Method in class org.apache.spark.sql.streaming.DataStreamWriter: Specifies the underlying output data source.
format_number(Column, int) - Static method in class org.apache.spark.sql.functions: Formats numeric column x to a format like '#,###,###.##', rounded to d decimal places with HALF_EVEN round mode, and returns the result as a string column.
format_string(String, Column...) - Static method in class org.apache.spark.sql.functions: Formats the arguments in printf-style and returns the result as a string column.
format_string(String, Seq<Column>) - Static method in class org.apache.spark.sql.functions: Formats the arguments in printf-style and returns the result as a string column.
formatBatchTime(long, long, boolean, TimeZone) - Static method in class org.apache.spark.ui.UIUtils: If batchInterval is less than 1 second, format batchTime with milliseconds.
formatDate(long) - Static method in class org.apache.spark.ui.UIUtils
formatDate(Date) - Static method in class org.apache.spark.ui.UIUtils
formatDuration(long) - Static method in class org.apache.spark.ui.UIUtils
formatDurationVerbose(long) - Static method in class org.apache.spark.ui.UIUtils: Generate a verbose human-readable string representing a duration such as "5 second 35 ms"
formatErrorMessage(String, String, String, String) - Static method in class org.apache.spark.SparkThrowableHelper
formatImportJavaScript(HttpServletRequest, String, Seq<String>) - Static method in class org.apache.spark.ui.UIUtils
formatNumber(double) - Static method in class org.apache.spark.ui.UIUtils: Generate a human-readable string representing a number (e.g.
formula() - Method in class org.apache.spark.ml.feature.RFormula
formula() - Method in interface org.apache.spark.ml.feature.RFormulaBase: R formula parameter.
formula() - Method in class org.apache.spark.ml.feature.RFormulaModel
forNumber(int) - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel
forNumber(int) - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.JobExecutionStatus
forNumber(int) - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.WrapperCase
forNumber(int) - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.StageStatus
forward(DenseMatrix<Object>, boolean) - Method in interface org.apache.spark.ml.ann.TopologyModel: Forward propagation
FPGA() - Static method in class org.apache.spark.resource.ResourceUtils
FPGrowth - Class in org.apache.spark.ml.fpm: A parallel FP-growth algorithm to mine frequent itemsets.
FPGrowth - Class in org.apache.spark.mllib.fpm: A parallel FP-growth algorithm to mine frequent itemsets.
FPGrowth() - Constructor for class org.apache.spark.ml.fpm.FPGrowth
FPGrowth() - Constructor for class org.apache.spark.mllib.fpm.FPGrowth: Constructs a default instance with default parameters {minSupport: 0.3, numPartitions: same as the input data}.
FPGrowth(String) - Constructor for class org.apache.spark.ml.fpm.FPGrowth
FPGrowth.FreqItemset<Item> - Class in org.apache.spark.mllib.fpm: Frequent itemset.
FPGrowthModel - Class in org.apache.spark.ml.fpm: Model fitted by FPGrowth.
FPGrowthModel<Item> - Class in org.apache.spark.mllib.fpm: Model trained by FPGrowth, which holds frequent itemsets.
FPGrowthModel(RDD<FPGrowth.FreqItemset<Item>>, Map<Item, Object>, ClassTag<Item>) - Constructor for class org.apache.spark.mllib.fpm.FPGrowthModel
FPGrowthModel(RDD<FPGrowth.FreqItemset<Item>>, ClassTag<Item>) - Constructor for class org.apache.spark.mllib.fpm.FPGrowthModel
FPGrowthModel.SaveLoadV1_0$ - Class in org.apache.spark.mllib.fpm
FPGrowthParams - Interface in org.apache.spark.ml.fpm: Common params for FPGrowth and FPGrowthModel
fpr() - Method in class org.apache.spark.ml.feature.ChiSqSelector
fpr() - Method in class org.apache.spark.ml.feature.ChiSqSelectorModel
fpr() - Method in interface org.apache.spark.ml.feature.SelectorParams: The highest p-value for features to be kept.
fpr() - Method in class org.apache.spark.mllib.feature.ChiSqSelector
FRACTION_CACHED() - Static method in class org.apache.spark.ui.storage.ToolTips
fragment() - Method in interface org.apache.spark.QueryContext
freq() - Method in class org.apache.spark.mllib.fpm.FPGrowth.FreqItemset
freq() - Method in class org.apache.spark.mllib.fpm.PrefixSpan.FreqSequence
freqItems(String[]) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Finding frequent items for columns, possibly with false positives.
freqItems(String[], double) - Method in class org.apache.spark.sql.DataFrameStatFunctions: Finding frequent items for columns, possibly with false positives.
freqItems(Seq<String>) - Method in class org.apache.spark.sql.DataFrameStatFunctions: (Scala-specific) Finding frequent items for columns, possibly with false positives.
freqItems(Seq<String>, double) - Method in class org.apache.spark.sql.DataFrameStatFunctions: (Scala-specific) Finding frequent items for columns, possibly with false positives.
FreqItemset(Object, long) - Constructor for class org.apache.spark.mllib.fpm.FPGrowth.FreqItemset
freqItemsets() - Method in class org.apache.spark.ml.fpm.FPGrowthModel
freqItemsets() - Method in class org.apache.spark.mllib.fpm.FPGrowthModel
FreqSequence(Object[], long) - Constructor for class org.apache.spark.mllib.fpm.PrefixSpan.FreqSequence
freqSequences() - Method in class org.apache.spark.mllib.fpm.PrefixSpanModel
from_csv(Column, Column, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a CSV string into a StructType with the specified schema.
from_csv(Column, StructType, Map<String, String>) - Static method in class org.apache.spark.sql.functions: Parses a column containing a CSV string into a StructType with the specified schema.
FROM_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
FROM_ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
from_json(Column, String, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a JSON string into a MapType with StringType as keys type, StructType or ArrayType with the specified schema.
from_json(Column, String, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Scala-specific) Parses a column containing a JSON string into a MapType with StringType as keys type, StructType or ArrayType with the specified schema.
from_json(Column, Column) - Static method in class org.apache.spark.sql.functions: (Scala-specific) Parses a column containing a JSON string into a MapType with StringType as keys type, StructType or ArrayType of StructTypes with the specified schema.
from_json(Column, Column, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a JSON string into a MapType with StringType as keys type, StructType or ArrayType of StructTypes with the specified schema.
from_json(Column, DataType) - Static method in class org.apache.spark.sql.functions: Parses a column containing a JSON string into a MapType with StringType as keys type, StructType or ArrayType with the specified schema.
from_json(Column, DataType, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a JSON string into a MapType with StringType as keys type, StructType or ArrayType with the specified schema.
from_json(Column, DataType, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Scala-specific) Parses a column containing a JSON string into a MapType with StringType as keys type, StructType or ArrayType with the specified schema.
from_json(Column, StructType) - Static method in class org.apache.spark.sql.functions: Parses a column containing a JSON string into a StructType with the specified schema.
from_json(Column, StructType, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a JSON string into a StructType with the specified schema.
from_json(Column, StructType, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Scala-specific) Parses a column containing a JSON string into a StructType with the specified schema.
from_protobuf(Column, String) - Static method in class org.apache.spark.sql.protobuf.functions: Converts a binary column of Protobuf format into its corresponding catalyst value.
from_protobuf(Column, String, byte[]) - Static method in class org.apache.spark.sql.protobuf.functions: Converts a binary column of Protobuf format into its corresponding catalyst value.The Protobuf definition is provided through Protobuf FileDescriptorSet.
from_protobuf(Column, String, byte[], Map<String, String>) - Static method in class org.apache.spark.sql.protobuf.functions: Converts a binary column of Protobuf format into its corresponding catalyst value.The Protobuf definition is provided through Protobuf FileDescriptorSet.
from_protobuf(Column, String, String) - Static method in class org.apache.spark.sql.protobuf.functions: Converts a binary column of Protobuf format into its corresponding catalyst value.
from_protobuf(Column, String, String, Map<String, String>) - Static method in class org.apache.spark.sql.protobuf.functions: Converts a binary column of Protobuf format into its corresponding catalyst value.
from_protobuf(Column, String, Map<String, String>) - Static method in class org.apache.spark.sql.protobuf.functions: Converts a binary column of Protobuf format into its corresponding catalyst value.
from_unixtime(Column) - Static method in class org.apache.spark.sql.functions: Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to a string representing the timestamp of that moment in the current system time zone in the yyyy-MM-dd HH:mm:ss format.
from_unixtime(Column, String) - Static method in class org.apache.spark.sql.functions: Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to a string representing the timestamp of that moment in the current system time zone in the given format.
from_utc_timestamp(Column, String) - Static method in class org.apache.spark.sql.functions: Given a timestamp like '2017-07-14 02:40:00.0', interprets it as a time in UTC, and renders that time as a timestamp in the given time zone.
from_utc_timestamp(Column, Column) - Static method in class org.apache.spark.sql.functions: Given a timestamp like '2017-07-14 02:40:00.0', interprets it as a time in UTC, and renders that time as a timestamp in the given time zone.
from_xml(Column, String, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a XML string into a StructType with the specified schema.
from_xml(Column, Column) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a XML string into a StructType with the specified schema.
from_xml(Column, Column, Map<String, String>) - Static method in class org.apache.spark.sql.functions: (Java-specific) Parses a column containing a XML string into a StructType with the specified schema.
from_xml(Column, StructType) - Static method in class org.apache.spark.sql.functions: Parses a column containing a XML string into the data type corresponding to the specified schema.
from_xml(Column, StructType, Map<String, String>) - Static method in class org.apache.spark.sql.functions: Parses a column containing a XML string into the data type corresponding to the specified schema.
fromArrowField(Field) - Static method in class org.apache.spark.sql.util.ArrowUtils
fromArrowSchema(Schema) - Static method in class org.apache.spark.sql.util.ArrowUtils
fromArrowType(ArrowType) - Static method in class org.apache.spark.sql.util.ArrowUtils
fromCOO(int, int, Iterable<Tuple3<Object, Object, Object>>) - Static method in class org.apache.spark.ml.linalg.SparseMatrix: Generate a SparseMatrix from Coordinate List (COO) format.
fromCOO(int, int, Iterable<Tuple3<Object, Object, Object>>) - Static method in class org.apache.spark.mllib.linalg.SparseMatrix: Generate a SparseMatrix from Coordinate List (COO) format.
fromDDL(String) - Static method in class org.apache.spark.sql.types.DataType
fromDDL(String) - Static method in class org.apache.spark.sql.types.StructType: Creates StructType for a given DDL-formatted string, which is a comma separated list of field definitions, e.g., a INT, b STRING.
fromDecimal(Object) - Static method in class org.apache.spark.sql.types.Decimal
fromDStream(DStream<T>, ClassTag<T>) - Static method in class org.apache.spark.streaming.api.java.JavaDStream: Convert a scala DStream to a Java-friendly JavaDStream.
fromEdgePartitions(RDD<Tuple2<Object, EdgePartition<ED, VD>>>, VD, StorageLevel, StorageLevel, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.impl.GraphImpl: Create a graph from EdgePartitions, setting referenced vertices to defaultVertexAttr.
fromEdges(EdgeRDD<?>, int, VD, ClassTag<VD>) - Static method in class org.apache.spark.graphx.VertexRDD: Constructs a VertexRDD containing all vertices referred to in edges.
fromEdges(RDD<Edge<ED>>, ClassTag<ED>, ClassTag<VD>) - Static method in class org.apache.spark.graphx.EdgeRDD: Creates an EdgeRDD from a set of edges.
fromEdges(RDD<Edge<ED>>, VD, StorageLevel, StorageLevel, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.Graph: Construct a graph from a collection of edges.
fromEdgeTuples(RDD<Tuple2<Object, Object>>, VD, Option<PartitionStrategy>, StorageLevel, StorageLevel, ClassTag<VD>) - Static method in class org.apache.spark.graphx.Graph: Construct a graph from a collection of edges encoded as vertex id pairs.
fromExistingRDDs(VertexRDD<VD>, EdgeRDD<ED>, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.impl.GraphImpl: Create a graph from a VertexRDD and an EdgeRDD with the same replicated vertex type as the vertices.
fromFileStatus(FileStatus) - Static method in class org.apache.spark.paths.SparkPath
fromHexString(String) - Method in interface org.apache.spark.util.SparkStringUtils
fromHexString(String) - Static method in class org.apache.spark.util.Utils
fromInputDStream(InputDStream<Tuple2<K, V>>, ClassTag<K>, ClassTag<V>) - Static method in class org.apache.spark.streaming.api.java.JavaPairInputDStream: Convert a scala InputDStream of pairs to a Java-friendly JavaPairInputDStream.
fromInputDStream(InputDStream<T>, ClassTag<T>) - Static method in class org.apache.spark.streaming.api.java.JavaInputDStream: Convert a scala InputDStream to a Java-friendly JavaInputDStream.
fromInt(int) - Static method in class org.apache.spark.sql.types.ByteExactNumeric
fromInt(int) - Method in interface org.apache.spark.sql.types.Decimal.DecimalIsConflicted
fromInt(int) - Static method in class org.apache.spark.sql.types.DecimalExactNumeric
fromInt(int) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
fromInt(int) - Method in interface org.apache.spark.sql.types.DoubleType.DoubleIsConflicted
fromInt(int) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
fromInt(int) - Method in interface org.apache.spark.sql.types.FloatType.FloatIsConflicted
fromInt(int) - Static method in class org.apache.spark.sql.types.IntegerExactNumeric
fromInt(int) - Static method in class org.apache.spark.sql.types.LongExactNumeric
fromInt(int) - Static method in class org.apache.spark.sql.types.ShortExactNumeric
fromJavaDStream(JavaDStream<Tuple2<K, V>>) - Static method in class org.apache.spark.streaming.api.java.JavaPairDStream
fromJavaRDD(JavaRDD<Tuple2<K, V>>) - Static method in class org.apache.spark.api.java.JavaPairRDD: Convert a JavaRDD of key-value pairs to JavaPairRDD.
fromJson(String) - Static method in class org.apache.spark.ml.linalg.JsonMatrixConverter: Parses the JSON representation of a Matrix into a Matrix.
fromJson(String) - Static method in class org.apache.spark.ml.linalg.JsonVectorConverter: Parses the JSON representation of a vector into a Vector.
fromJson(String) - Static method in class org.apache.spark.mllib.linalg.Vectors: Parses the JSON representation of a vector into a Vector.
fromJson(String) - Static method in class org.apache.spark.sql.types.DataType
fromJson(String) - Static method in class org.apache.spark.sql.types.Metadata: Creates a Metadata instance from JSON.
fromKinesisInitialPosition(InitialPositionInStream) - Static method in class org.apache.spark.streaming.kinesis.KinesisInitialPositions: Returns instance of [[KinesisInitialPosition]] based on the passed [[InitialPositionInStream]].
fromMetadata(Metadata) - Method in interface org.apache.spark.ml.attribute.AttributeFactory: Creates an Attribute from a Metadata instance.
fromML(DenseMatrix) - Static method in class org.apache.spark.mllib.linalg.DenseMatrix: Convert new linalg type to spark.mllib type.
fromML(DenseVector) - Static method in class org.apache.spark.mllib.linalg.DenseVector: Convert new linalg type to spark.mllib type.
fromML(Matrix) - Static method in class org.apache.spark.mllib.linalg.Matrices: Convert new linalg type to spark.mllib type.
fromML(SparseMatrix) - Static method in class org.apache.spark.mllib.linalg.SparseMatrix: Convert new linalg type to spark.mllib type.
fromML(SparseVector) - Static method in class org.apache.spark.mllib.linalg.SparseVector: Convert new linalg type to spark.mllib type.
fromML(Vector) - Static method in class org.apache.spark.mllib.linalg.Vectors: Convert new linalg type to spark.mllib type.
fromName(String) - Static method in class org.apache.spark.ml.attribute.AttributeType: Gets the AttributeType object from its name.
fromNullable(T) - Static method in class org.apache.spark.api.java.Optional
fromOld(Node, Map<Object, Object>) - Static method in class org.apache.spark.ml.tree.Node: Create a new Node from the old Node format, recursively creating child nodes as needed.
fromPairDStream(DStream<Tuple2<K, V>>, ClassTag<K>, ClassTag<V>) - Static method in class org.apache.spark.streaming.api.java.JavaPairDStream
fromPairRDD(RDD<Tuple2<K, V>>, ClassTag<K>, ClassTag<V>) - Static method in class org.apache.spark.mllib.rdd.MLPairRDDFunctions: Implicit conversion from a pair RDD to MLPairRDDFunctions.
fromParams(GeneralizedLinearRegressionBase) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Family$: Gets the GeneralizedLinearRegression.Family object based on param family and variancePower.
fromParams(GeneralizedLinearRegressionBase) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Link$: Gets the GeneralizedLinearRegression.Link object based on param family, link and linkPower.
fromPath(Path) - Static method in class org.apache.spark.paths.SparkPath
fromPathString(String) - Static method in class org.apache.spark.paths.SparkPath: Creates a SparkPath from a hadoop Path string.
fromRdd(RDD<?>) - Static method in class org.apache.spark.storage.RDDInfo
fromRDD(RDD<Object>) - Static method in class org.apache.spark.api.java.JavaDoubleRDD
fromRDD(RDD<Tuple2<K, V>>, ClassTag<K>, ClassTag<V>) - Static method in class org.apache.spark.api.java.JavaPairRDD
fromRDD(RDD<T>, ClassTag<T>) - Static method in class org.apache.spark.api.java.JavaRDD
fromRDD(RDD<T>, ClassTag<T>) - Static method in class org.apache.spark.mllib.rdd.RDDFunctions: Implicit conversion from an RDD to RDDFunctions.
fromReceiverInputDStream(ReceiverInputDStream<Tuple2<K, V>>, ClassTag<K>, ClassTag<V>) - Static method in class org.apache.spark.streaming.api.java.JavaPairReceiverInputDStream: Convert a scala ReceiverInputDStream to a Java-friendly JavaReceiverInputDStream.
fromReceiverInputDStream(ReceiverInputDStream<T>, ClassTag<T>) - Static method in class org.apache.spark.streaming.api.java.JavaReceiverInputDStream: Convert a scala ReceiverInputDStream to a Java-friendly JavaReceiverInputDStream.
fromSparkContext(SparkContext) - Static method in class org.apache.spark.api.java.JavaSparkContext
fromStage(Stage, int, Option<Object>, TaskMetrics, Seq<Seq<TaskLocation>>, int) - Static method in class org.apache.spark.scheduler.StageInfo: Construct a StageInfo from a Stage.
fromString(String) - Static method in enum class org.apache.spark.JobExecutionStatus
fromString(String) - Static method in class org.apache.spark.mllib.tree.impurity.Impurities
fromString(String) - Static method in class org.apache.spark.mllib.tree.loss.Losses
fromString(String) - Static method in class org.apache.spark.sql.types.EdgeInterpolationAlgorithm
fromString(String) - Static method in enum class org.apache.spark.status.api.v1.ApplicationStatus
fromString(String) - Static method in enum class org.apache.spark.status.api.v1.StageStatus
fromString(String) - Static method in enum class org.apache.spark.status.api.v1.streaming.BatchStatus
fromString(String) - Static method in enum class org.apache.spark.status.api.v1.TaskSorting
fromString(String) - Static method in enum class org.apache.spark.status.api.v1.TaskStatus
fromString(String) - Static method in class org.apache.spark.storage.StorageLevel: :: DeveloperApi :: Return the StorageLevel object with the specified name.
fromString(String) - Static method in enum class org.apache.spark.storage.StorageLevelMapper
fromString(UTF8String) - Static method in class org.apache.spark.sql.types.Decimal
fromStringANSI(UTF8String, DecimalType, QueryContext) - Static method in class org.apache.spark.sql.types.Decimal
fromStructField(StructField) - Static method in class org.apache.spark.ml.attribute.Attribute
fromStructField(StructField) - Method in interface org.apache.spark.ml.attribute.AttributeFactory: Creates an Attribute from a StructField instance.
fromStructField(StructField) - Static method in class org.apache.spark.ml.attribute.AttributeGroup: Creates an attribute group from a StructField instance.
fromStructField(StructField) - Static method in class org.apache.spark.ml.attribute.BinaryAttribute
fromStructField(StructField) - Static method in class org.apache.spark.ml.attribute.NominalAttribute
fromStructField(StructField) - Static method in class org.apache.spark.ml.attribute.NumericAttribute
fromUri(URI) - Static method in class org.apache.spark.paths.SparkPath
fromUrlString(String) - Static method in class org.apache.spark.paths.SparkPath: Creates a SparkPath from a url-encoded string.
fromWKB(byte[]) - Static method in class org.apache.spark.sql.types.Geography
fromWKB(byte[]) - Static method in class org.apache.spark.sql.types.Geometry
fromWKB(byte[], int) - Static method in class org.apache.spark.sql.types.Geography
fromWKB(byte[], int) - Static method in class org.apache.spark.sql.types.Geometry
fullOuterJoin(JavaPairRDD<K, W>) - Method in class org.apache.spark.api.java.JavaPairRDD: Perform a full outer join of this and other.
fullOuterJoin(JavaPairRDD<K, W>, int) - Method in class org.apache.spark.api.java.JavaPairRDD: Perform a full outer join of this and other.
fullOuterJoin(JavaPairRDD<K, W>, Partitioner) - Method in class org.apache.spark.api.java.JavaPairRDD: Perform a full outer join of this and other.
fullOuterJoin(RDD<Tuple2<K, W>>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Perform a full outer join of this and other.
fullOuterJoin(RDD<Tuple2<K, W>>, int) - Method in class org.apache.spark.rdd.PairRDDFunctions: Perform a full outer join of this and other.
fullOuterJoin(RDD<Tuple2<K, W>>, Partitioner) - Method in class org.apache.spark.rdd.PairRDDFunctions: Perform a full outer join of this and other.
fullOuterJoin(JavaPairDStream<K, W>) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying 'full outer join' between RDDs of this DStream and other DStream.
fullOuterJoin(JavaPairDStream<K, W>, int) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying 'full outer join' between RDDs of this DStream and other DStream.
fullOuterJoin(JavaPairDStream<K, W>, Partitioner) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying 'full outer join' between RDDs of this DStream and other DStream.
fullOuterJoin(DStream<Tuple2<K, W>>, int, ClassTag<W>) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying 'full outer join' between RDDs of this DStream and other DStream.
fullOuterJoin(DStream<Tuple2<K, W>>, Partitioner, ClassTag<W>) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying 'full outer join' between RDDs of this DStream and other DStream.
fullOuterJoin(DStream<Tuple2<K, W>>, ClassTag<W>) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying 'full outer join' between RDDs of this DStream and other DStream.
fullStackTrace() - Method in class org.apache.spark.ExceptionFailure
fullyQuoted() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper
fullyQuoted() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.MultipartIdentifierHelper
function(Function3<KeyType, Optional<ValueType>, State<StateType>, MappedType>) - Static method in class org.apache.spark.streaming.StateSpec: Create a StateSpec for setting all the specifications of the mapWithState operation on a JavaPairDStream.
function(Function4<Time, KeyType, Optional<ValueType>, State<StateType>, Optional<MappedType>>) - Static method in class org.apache.spark.streaming.StateSpec: Create a StateSpec for setting all the specifications of the mapWithState operation on a JavaPairDStream.
function(Function3<KeyType, Option<ValueType>, State<StateType>, MappedType>) - Static method in class org.apache.spark.streaming.StateSpec: Create a StateSpec for setting all the specifications of the mapWithState operation on a pair DStream.
function(Function4<Time, KeyType, Option<ValueType>, State<StateType>, Option<MappedType>>) - Static method in class org.apache.spark.streaming.StateSpec: Create a StateSpec for setting all the specifications of the mapWithState operation on a pair DStream.
Function - Class in org.apache.spark.sql.catalog: A user-defined function in Spark, as returned by listFunctions method in Catalog.
Function<T1,R> - Interface in org.apache.spark.api.java.function: Base interface for functions whose return types do not create special RDDs.
Function - Interface in org.apache.spark.sql.connector.catalog.functions: Base class for user-defined functions.
Function(String, String, String[], String, String, boolean) - Constructor for class org.apache.spark.sql.catalog.Function
Function(String, String, String, String, boolean) - Constructor for class org.apache.spark.sql.catalog.Function
Function0<R> - Interface in org.apache.spark.api.java.function: A zero-argument function that returns an R.
Function2<T1,T2,R> - Interface in org.apache.spark.api.java.function: A two-argument function that takes arguments of type T1 and T2 and returns an R.
Function3<T1,T2,T3,R> - Interface in org.apache.spark.api.java.function: A three-argument function that takes arguments of type T1, T2 and T3 and returns an R.
Function4<T1,T2,T3,T4,R> - Interface in org.apache.spark.api.java.function: A four-argument function that takes arguments of type T1, T2, T3 and T4 and returns an R.
FunctionCatalog - Interface in org.apache.spark.sql.connector.catalog: Catalog methods for working with Functions.
functionExists(String) - Method in class org.apache.spark.sql.catalog.Catalog: Check if the function with the specified name exists.
functionExists(String, String) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use functionExists(functionName: String) instead. Since 4.0.0.
functionExists(Identifier) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
functionExists(Identifier) - Method in interface org.apache.spark.sql.connector.catalog.FunctionCatalog: Returns true if the function exists, false otherwise.
FunctionIdentifierHelper(FunctionIdentifier) - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.FunctionIdentifierHelper
functions - Class in org.apache.spark.ml
functions - Class in org.apache.spark.sql: Commonly used functions available for DataFrame operations.
functions - Class in org.apache.spark.sql.protobuf
functions() - Constructor for class org.apache.spark.ml.functions
functions() - Constructor for class org.apache.spark.sql.functions
functions() - Constructor for class org.apache.spark.sql.protobuf.functions
functions() - Method in class org.apache.spark.sql.jdbc.JdbcDialect: List the user-defined functions in jdbc dialect.
functions() - Static method in class org.apache.spark.sql.jdbc.NoopDialect
functions.partitioning$ - Class in org.apache.spark.sql
future() - Method in class org.apache.spark.sql.Observation: Future holding the (yet to be completed) observation.
FutureAction<T> - Interface in org.apache.spark: A future for the result of an action to support cancellation.
futureExecutionContext() - Static method in class org.apache.spark.rdd.AsyncRDDActions
FValueTest - Class in org.apache.spark.ml.stat: FValue test for continuous data.
FValueTest() - Constructor for class org.apache.spark.ml.stat.FValueTest
fwe() - Method in class org.apache.spark.ml.feature.ChiSqSelector
fwe() - Method in class org.apache.spark.ml.feature.ChiSqSelectorModel
fwe() - Method in interface org.apache.spark.ml.feature.SelectorParams: The upper bound of the expected family-wise error rate.
fwe() - Method in class org.apache.spark.mllib.feature.ChiSqSelector

G

gain() - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.NodeData
gain() - Method in class org.apache.spark.ml.tree.InternalNode
gain() - Method in class org.apache.spark.mllib.tree.model.InformationGainStats
Gamma$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gamma$
gamma1() - Method in class org.apache.spark.graphx.lib.SVDPlusPlus.Conf
gamma2() - Method in class org.apache.spark.graphx.lib.SVDPlusPlus.Conf
gamma6() - Method in class org.apache.spark.graphx.lib.SVDPlusPlus.Conf
gamma7() - Method in class org.apache.spark.graphx.lib.SVDPlusPlus.Conf
GammaGenerator - Class in org.apache.spark.mllib.random: Generates i.i.d.
GammaGenerator(double, double) - Constructor for class org.apache.spark.mllib.random.GammaGenerator
gammaJavaRDD(JavaSparkContext, double, double, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.gammaJavaRDD with the default number of partitions and the default seed.
gammaJavaRDD(JavaSparkContext, double, double, long, int) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.gammaJavaRDD with the default seed.
gammaJavaRDD(JavaSparkContext, double, double, long, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Java-friendly version of RandomRDDs.gammaRDD.
gammaJavaVectorRDD(JavaSparkContext, double, double, long, int) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.gammaJavaVectorRDD with the default number of partitions and the default seed.
gammaJavaVectorRDD(JavaSparkContext, double, double, long, int, int) - Static method in class org.apache.spark.mllib.random.RandomRDDs: RandomRDDs.gammaJavaVectorRDD with the default seed.
gammaJavaVectorRDD(JavaSparkContext, double, double, long, int, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Java-friendly version of RandomRDDs.gammaVectorRDD.
gammaRDD(SparkContext, double, double, long, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Generates an RDD comprised of i.i.d. samples from the gamma distribution with the input shape and scale.
gammaVectorRDD(SparkContext, double, double, long, int, int, long) - Static method in class org.apache.spark.mllib.random.RandomRDDs: Generates an RDD[Vector] with vectors containing i.i.d. samples drawn from the gamma distribution with the input shape and scale.
gapply(RelationalGroupedDataset, byte[], byte[], Object[], StructType) - Static method in class org.apache.spark.sql.api.r.SQLUtils: The helper function for gapply() on R side.
gaps() - Method in class org.apache.spark.ml.feature.RegexTokenizer: Indicates whether regex splits on gaps (true) or matches tokens (false).
GarbageCollectionMetrics - Class in org.apache.spark.metrics
GarbageCollectionMetrics() - Constructor for class org.apache.spark.metrics.GarbageCollectionMetrics
GAUGE() - Static method in class org.apache.spark.metrics.sink.StatsdMetricType
Gaussian$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gaussian$
GaussianMixture - Class in org.apache.spark.ml.clustering: Gaussian Mixture clustering.
GaussianMixture - Class in org.apache.spark.mllib.clustering: This class performs expectation maximization for multivariate Gaussian Mixture Models (GMMs).
GaussianMixture() - Constructor for class org.apache.spark.ml.clustering.GaussianMixture
GaussianMixture() - Constructor for class org.apache.spark.mllib.clustering.GaussianMixture: Constructs a default instance.
GaussianMixture(String) - Constructor for class org.apache.spark.ml.clustering.GaussianMixture
GaussianMixtureModel - Class in org.apache.spark.ml.clustering: Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i with probability weights(i).
GaussianMixtureModel - Class in org.apache.spark.mllib.clustering: Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i=1..k with probability w(i); mu(i) and sigma(i) are the respective mean and covariance for each Gaussian distribution i=1..k.
GaussianMixtureModel(double[], MultivariateGaussian[]) - Constructor for class org.apache.spark.mllib.clustering.GaussianMixtureModel
GaussianMixtureModel.Data$ - Class in org.apache.spark.ml.clustering
GaussianMixtureParams - Interface in org.apache.spark.ml.clustering: Common params for GaussianMixture and GaussianMixtureModel
GaussianMixtureSummary - Class in org.apache.spark.ml.clustering: Summary of GaussianMixture.
gaussians() - Method in class org.apache.spark.ml.clustering.GaussianMixtureModel
gaussians() - Method in class org.apache.spark.mllib.clustering.GaussianMixtureModel
gaussiansDF() - Method in class org.apache.spark.ml.clustering.GaussianMixtureModel: Retrieve Gaussian distributions as a DataFrame.
GBTClassificationModel - Class in org.apache.spark.ml.classification: Gradient-Boosted Trees (GBTs) (http://en.wikipedia.org/wiki/Gradient_boosting) model for classification.
GBTClassificationModel(String, DecisionTreeRegressionModel[], double[]) - Constructor for class org.apache.spark.ml.classification.GBTClassificationModel: Construct a GBTClassificationModel
GBTClassifier - Class in org.apache.spark.ml.classification: Gradient-Boosted Trees (GBTs) (http://en.wikipedia.org/wiki/Gradient_boosting) learning algorithm for classification.
GBTClassifier() - Constructor for class org.apache.spark.ml.classification.GBTClassifier
GBTClassifier(String) - Constructor for class org.apache.spark.ml.classification.GBTClassifier
GBTClassifierParams - Interface in org.apache.spark.ml.tree
GBTParams - Interface in org.apache.spark.ml.tree: Parameters for Gradient-Boosted Tree algorithms.
GBTRegressionModel - Class in org.apache.spark.ml.regression: Gradient-Boosted Trees (GBTs) model for regression.
GBTRegressionModel(String, DecisionTreeRegressionModel[], double[]) - Constructor for class org.apache.spark.ml.regression.GBTRegressionModel: Construct a GBTRegressionModel
GBTRegressor - Class in org.apache.spark.ml.regression: Gradient-Boosted Trees (GBTs) learning algorithm for regression.
GBTRegressor() - Constructor for class org.apache.spark.ml.regression.GBTRegressor
GBTRegressor(String) - Constructor for class org.apache.spark.ml.regression.GBTRegressor
GBTRegressorParams - Interface in org.apache.spark.ml.tree
GC_TIME() - Static method in class org.apache.spark.status.TaskIndexNames
GC_TIME() - Static method in class org.apache.spark.ui.ToolTips
gemm(double, Matrix, DenseMatrix, double, double[]) - Static method in class org.apache.spark.ml.linalg.BLAS: CValues[0: A.numRows * B.numCols] := alpha * A * B + beta * CValues[0: A.numRows * B.numCols]
gemm(double, Matrix, DenseMatrix, double, DenseMatrix) - Static method in class org.apache.spark.ml.linalg.BLAS: C := alpha * A * B + beta * C
gemm(double, Matrix, DenseMatrix, double, DenseMatrix) - Static method in class org.apache.spark.mllib.linalg.BLAS: C := alpha * A * B + beta * C
gemv(double, Matrix, double[], double, double[]) - Static method in class org.apache.spark.ml.linalg.BLAS: y[0: A.numRows] := alpha * A * x[0: A.numCols] + beta * y[0: A.numRows]
gemv(double, Matrix, Vector, double, DenseVector) - Static method in class org.apache.spark.ml.linalg.BLAS: y := alpha * A * x + beta * y
gemv(double, Matrix, Vector, double, DenseVector) - Static method in class org.apache.spark.mllib.linalg.BLAS: y := alpha * A * x + beta * y
GeneralAggregateFunc - Class in org.apache.spark.sql.connector.expressions.aggregate: The general implementation of AggregateFunc, which contains the upper-cased function name, the `isDistinct` flag and all the inputs.
GeneralAggregateFunc(String, boolean, Expression[]) - Constructor for class org.apache.spark.sql.connector.expressions.aggregate.GeneralAggregateFunc
GeneralAggregateFunc(String, boolean, Expression[], SortValue[]) - Constructor for class org.apache.spark.sql.connector.expressions.aggregate.GeneralAggregateFunc
GeneralizedLinearAlgorithm<M extends GeneralizedLinearModel> - Class in org.apache.spark.mllib.regression: GeneralizedLinearAlgorithm implements methods to train a Generalized Linear Model (GLM).
GeneralizedLinearAlgorithm() - Constructor for class org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm
GeneralizedLinearModel - Class in org.apache.spark.mllib.regression: GeneralizedLinearModel (GLM) represents a model trained using GeneralizedLinearAlgorithm.
GeneralizedLinearModel(Vector, double) - Constructor for class org.apache.spark.mllib.regression.GeneralizedLinearModel
GeneralizedLinearRegression - Class in org.apache.spark.ml.regression: Fit a Generalized Linear Model (see Generalized linear model (Wikipedia)) specified by giving a symbolic description of the linear predictor (link function) and a description of the error distribution (family).
GeneralizedLinearRegression() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression
GeneralizedLinearRegression(String) - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression
GeneralizedLinearRegression.Binomial$ - Class in org.apache.spark.ml.regression: Binomial exponential family distribution.
GeneralizedLinearRegression.CLogLog$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Family$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.FamilyAndLink$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Gamma$ - Class in org.apache.spark.ml.regression: Gamma exponential family distribution.
GeneralizedLinearRegression.Gaussian$ - Class in org.apache.spark.ml.regression: Gaussian exponential family distribution.
GeneralizedLinearRegression.Identity$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Inverse$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Link$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Log$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Logit$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Poisson$ - Class in org.apache.spark.ml.regression: Poisson exponential family distribution.
GeneralizedLinearRegression.Probit$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Sqrt$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegression.Tweedie$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegressionBase - Interface in org.apache.spark.ml.regression: Params for Generalized Linear Regression.
GeneralizedLinearRegressionModel - Class in org.apache.spark.ml.regression: Model produced by GeneralizedLinearRegression.
GeneralizedLinearRegressionModel.Data$ - Class in org.apache.spark.ml.regression
GeneralizedLinearRegressionSummary - Class in org.apache.spark.ml.regression: Summary of GeneralizedLinearRegression model and predictions.
GeneralizedLinearRegressionTrainingSummary - Class in org.apache.spark.ml.regression: Summary of GeneralizedLinearRegression fitting and model.
GeneralMLWritable - Interface in org.apache.spark.ml.util: Trait for classes that provide GeneralMLWriter.
GeneralMLWriter - Class in org.apache.spark.ml.util: A ML Writer which delegates based on the requested format.
GeneralMLWriter(PipelineStage) - Constructor for class org.apache.spark.ml.util.GeneralMLWriter
GeneralScalarExpression - Class in org.apache.spark.sql.connector.expressions: The general representation of SQL scalar expressions, which contains the upper-cased expression name and all the children expressions.
GeneralScalarExpression(String, Expression[]) - Constructor for class org.apache.spark.sql.connector.expressions.GeneralScalarExpression
generate() - Static method in class org.apache.spark.util.UUIDv7Generator: Generate a UUIDv7 from the current time.
generateAssociationRules(double) - Method in class org.apache.spark.mllib.fpm.FPGrowthModel: Generates association rules for the Items in FPGrowthModel.freqItemsets().
generateExtendedInfo(SparkPlan) - Method in interface org.apache.spark.sql.ExtendedExplainGenerator
generateKMeansRDD(SparkContext, int, int, int, double, int) - Static method in class org.apache.spark.mllib.util.KMeansDataGenerator: Generate an RDD containing test data for KMeans.
generateLinearInput(double, double[], double[], double[], int, int, double) - Static method in class org.apache.spark.mllib.util.LinearDataGenerator
generateLinearInput(double, double[], double[], double[], int, int, double, double) - Static method in class org.apache.spark.mllib.util.LinearDataGenerator
generateLinearInput(double, double[], int, int, double) - Static method in class org.apache.spark.mllib.util.LinearDataGenerator: For compatibility, the generated data without specifying the mean and variance will have zero mean and variance of (1.0/3.0) since the original output range is [-1, 1] with uniform distribution, and the variance of uniform distribution is (b - a)^2^ / 12 which will be (1.0/3.0)
generateLinearInputAsList(double, double[], int, int, double) - Static method in class org.apache.spark.mllib.util.LinearDataGenerator: Return a Java List of synthetic data randomly generated according to a multi collinear model.
generateLinearRDD(SparkContext, int, int, double, int, double) - Static method in class org.apache.spark.mllib.util.LinearDataGenerator: Generate an RDD containing sample data for Linear Regression models - including Ridge, Lasso, and unregularized variants.
generateLogisticRDD(SparkContext, int, int, double, int, double) - Static method in class org.apache.spark.mllib.util.LogisticRegressionDataGenerator: Generate an RDD containing test data for LogisticRegression.
generateRandomEdges(int, int, int, long) - Static method in class org.apache.spark.graphx.util.GraphGenerators
generateRolledOverFileSuffix() - Method in interface org.apache.spark.util.logging.RollingPolicy: Get the desired name of the rollover file
generationExpression() - Method in interface org.apache.spark.sql.connector.catalog.Column: Returns the generation expression of this table column.
genUniqueBlockId(long, String) - Method in interface org.apache.spark.storage.LogBlockIdGenerator
Geography - Class in org.apache.spark.sql.types
GEOGRAPHY() - Static method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
GEOGRAPHY(GeographyType) - Static method in class org.apache.spark.sql.Encoders: An encoder for Geography data type.
GEOGRAPHY_DEFAULT_ALGORITHM() - Static method in class org.apache.spark.sql.types.GeographyType
GEOGRAPHY_DEFAULT_CRS() - Static method in class org.apache.spark.sql.types.GeographyType
GEOGRAPHY_DEFAULT_EPSG_CRS() - Static method in class org.apache.spark.sql.types.GeographyType
GEOGRAPHY_DEFAULT_SRID() - Static method in class org.apache.spark.sql.types.GeographyType: Default CRS value for GeographyType depends on storage specification.
GeographyType - Class in org.apache.spark.sql.types: The data type representing GEOGRAPHY values which are spatial objects, as defined in the Open Geospatial Consortium (OGC) Simple Feature Access specification (https://portal.ogc.org/files/?artifact_id=25355), with a geographic coordinate system.
GeographyType() - Constructor for class org.apache.spark.sql.types.GeographyType
Geometry - Class in org.apache.spark.sql.types
GEOMETRY() - Static method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
GEOMETRY(GeometryType) - Static method in class org.apache.spark.sql.Encoders: An encoder for Geometry data type.
GEOMETRY_DEFAULT_CRS() - Static method in class org.apache.spark.sql.types.GeometryType
GEOMETRY_DEFAULT_SRID() - Static method in class org.apache.spark.sql.types.GeometryType: The default coordinate reference system (CRS) value used for geometries, as specified by the Parquet, Delta, and Iceberg specifications.
GeometryType - Class in org.apache.spark.sql.types: The data type representing GEOMETRY values which are spatial objects, as defined in the Open Geospatial Consortium (OGC) Simple Feature Access specification (https://portal.ogc.org/files/?artifact_id=25355), with a Cartesian coordinate system.
GeometryType() - Constructor for class org.apache.spark.sql.types.GeometryType
geq(Object) - Method in class org.apache.spark.sql.Column: Greater than or equal to an expression.
get() - Method in class org.apache.spark.api.java.Optional
get() - Static method in class org.apache.spark.BarrierTaskContext: :: Experimental :: Returns the currently active BarrierTaskContext.
get() - Method in interface org.apache.spark.FutureAction: Blocks and returns the result of this job.
get() - Static method in class org.apache.spark.SparkEnv: Returns the SparkEnv.
get() - Method in interface org.apache.spark.sql.connector.read.PartitionReader: Return the current record.
get() - Method in class org.apache.spark.sql.Observation: (Scala-specific) Get the observed metrics.
get() - Method in interface org.apache.spark.sql.streaming.GroupState: Get the state value if it exists, or throw NoSuchElementException.
get() - Method in interface org.apache.spark.sql.streaming.ListState: Function to get the list of elements in the state as an iterator.
get() - Method in interface org.apache.spark.sql.streaming.ValueState: Function to get the state value for the current grouping key.
get() - Method in class org.apache.spark.streaming.State: Get the state if it exists, otherwise it will throw java.util.NoSuchElementException.
get() - Static method in class org.apache.spark.TaskContext: Return the currently active TaskContext.
get() - Method in interface org.apache.spark.util.LexicalThreadLocal
get(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i.
get(int, DataType) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
get(int, DataType) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
get(int, DataType) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
get(long) - Static method in class org.apache.spark.util.AccumulatorContext: Returns the AccumulatorV2 registered with the given ID, if any.
get(Object) - Method in class org.apache.spark.api.java.JavaUtils.SerializableMapWrapper
get(Object) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
get(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a parameter; throws a NoSuchElementException if it's not set
get(String) - Static method in class org.apache.spark.SparkFiles: Get the absolute path of a file added through SparkContext.addFile().
get(String) - Static method in class org.apache.spark.sql.jdbc.JdbcDialects: Fetch the JdbcDialect class corresponding to a given database url.
get(String) - Method in class org.apache.spark.sql.RuntimeConfig: Returns the value of Spark runtime configuration property for the given key.
get(String) - Method in class org.apache.spark.sql.streaming.StreamingQueryManager: Returns the query if there is an active query with the given id, or null.
get(String, String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a parameter, falling back to a default if not set
get(String, String) - Method in class org.apache.spark.sql.RuntimeConfig: Returns the value of Spark runtime configuration property for the given key.
get(UUID) - Method in class org.apache.spark.sql.streaming.StreamingQueryManager: Returns the query if there is an active query with the given id, or null.
get(ConfigEntry<T>) - Method in interface org.apache.spark.ReadOnlySparkConf: Retrieves the value of a pre-defined configuration entry.
get(Param<T>) - Method in class org.apache.spark.ml.param.ParamMap: Optionally returns the value associated with a param.
get(Param<T>) - Method in interface org.apache.spark.ml.param.Params: Optionally returns the user-supplied value of a param.
get(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns element of array at given (0-based) index.
get_json_object(Column, String) - Static method in class org.apache.spark.sql.functions: Extracts json object from a json string based on json path specified, and returns json string of the extracted json object.
getAbsolutePathFromExecutable(String) - Static method in class org.apache.spark.TestUtils: Get the absolute path from the executable.
getAcceptanceResults(RDD<Tuple2<K, V>>, boolean, Map<K, Object>, Option<Map<K, Object>>, long) - Static method in class org.apache.spark.util.random.StratifiedSamplingUtils: Count the number of items instantly accepted and generate the waitlist for each stratum.
getAccumulatorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: int64 accumulator_id = 2;
getAccumulatorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric: int64 accumulator_id = 2;
getAccumulatorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetricOrBuilder: int64 accumulator_id = 2;
getAccumulatorUpdates(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdates(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdates(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdates(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdates(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdates(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdates(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdates(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdates(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 44;
getAccumulatorUpdatesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getAccumulatorUpdatesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.AccumulableInfo accumulator_updates = 13;
getActive() - Static method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Get the currently active context, if there is one.
getActiveJobIds() - Method in class org.apache.spark.api.java.JavaSparkStatusTracker: Returns an array containing the ids of all active jobs.
getActiveJobIds() - Method in class org.apache.spark.SparkStatusTracker: Returns an array containing the ids of all active jobs.
getActiveOrCreate(String, Function0<StreamingContext>, Configuration, boolean) - Static method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Either get the currently active StreamingContext (that is, started but not stopped), OR recreate a StreamingContext from checkpoint data in the given path.
getActiveOrCreate(Function0<StreamingContext>) - Static method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Either return the "active" StreamingContext (that is, started but not stopped), or create a new StreamingContext that is
getActiveSession() - Static method in class org.apache.spark.sql.SparkSession
getActiveStageIds() - Method in class org.apache.spark.api.java.JavaSparkStatusTracker: Returns an array containing the ids of all active stages.
getActiveStageIds() - Method in class org.apache.spark.SparkStatusTracker: Returns an array containing the ids of all active stages.
getActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 active_tasks = 9;
getActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 active_tasks = 9;
getActiveTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 active_tasks = 9;
getAddColumnQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getAddColumnQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getAddColumnQuery(String, String, String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getAddColumnQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getAddress() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional string address = 1;
getAddress() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional string address = 1;
getAddress() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional string address = 1;
getAddressBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional string address = 1;
getAddressBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional string address = 1;
getAddressBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional string address = 1;
getAddresses(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
getAddresses(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation: repeated string addresses = 2;
getAddresses(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceInformationOrBuilder: repeated string addresses = 2;
getAddressesBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
getAddressesBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation: repeated string addresses = 2;
getAddressesBytes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceInformationOrBuilder: repeated string addresses = 2;
getAddressesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
getAddressesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation: repeated string addresses = 2;
getAddressesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceInformationOrBuilder: repeated string addresses = 2;
getAddressesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: repeated string addresses = 2;
getAddressesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation: repeated string addresses = 2;
getAddressesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceInformationOrBuilder: repeated string addresses = 2;
getAddTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 add_time = 20;
getAddTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 add_time = 20;
getAddTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 add_time = 20;
getAddTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: int64 add_time = 5;
getAddTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: int64 add_time = 5;
getAddTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: int64 add_time = 5;
getAggregationDepth() - Method in interface org.apache.spark.ml.param.shared.HasAggregationDepth
getAlgo() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getAll() - Method in interface org.apache.spark.ReadOnlySparkConf: Get all parameters as a list of pairs
getAll() - Method in class org.apache.spark.SparkConf: Get all parameters as a list of pairs
getAll() - Method in class org.apache.spark.sql.RuntimeConfig: Returns all properties set in this conf.
getAllConfs() - Method in class org.apache.spark.sql.SQLContext: Return all the configuration properties that have been set (i.e.
getAllInterfaces(Class<?>) - Method in interface org.apache.spark.util.SparkClassUtils: Gets a list of all interfaces implemented by the given class and its superclasses.
getAllInterfaces(Class<?>) - Static method in class org.apache.spark.util.Utils
getAllInterfacesHelper(Class<?>, LinkedHashSet<Class<?>>) - Method in interface org.apache.spark.util.SparkClassUtils
getAllPools() - Method in class org.apache.spark.SparkContext: :: DeveloperApi :: Return pools for fair scheduler
GetAllReceiverInfo - Class in org.apache.spark.streaming.scheduler
GetAllReceiverInfo() - Constructor for class org.apache.spark.streaming.scheduler.GetAllReceiverInfo
getAllRemovalsTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 all_removals_time_ms = 6;
getAllRemovalsTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 all_removals_time_ms = 6;
getAllRemovalsTimeMs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 all_removals_time_ms = 6;
getAllUpdatesTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 all_updates_time_ms = 4;
getAllUpdatesTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 all_updates_time_ms = 4;
getAllUpdatesTimeMs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 all_updates_time_ms = 4;
getAllWithPrefix(String) - Method in class org.apache.spark.SparkConf: Get all parameters that start with prefix
getAllWithPrefix(String, Function1<String, K>) - Method in class org.apache.spark.SparkConf: Get all parameters that start with prefix and apply f.
getAlpha() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getAlpha() - Method in class org.apache.spark.mllib.clustering.LDA: Alias for LDA.getDocConcentration()
getAmount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: int64 amount = 2;
getAmount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: int64 amount = 2;
getAmount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: int64 amount = 2;
getAmount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder: double amount = 2;
getAmount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest: double amount = 2;
getAmount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequestOrBuilder: double amount = 2;
getAnyValAs(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i.
getAppId() - Method in interface org.apache.spark.launcher.SparkAppHandle: Returns the application ID, or null if not yet known.
getAppId() - Method in class org.apache.spark.SparkConf: Returns the Spark application id, valid in the Driver after TaskScheduler registration and from the start in the Executor.
getApplicationInfo(String) - Method in interface org.apache.spark.status.api.v1.UIRoot
getApplicationInfoList() - Method in interface org.apache.spark.status.api.v1.UIRoot
getApplicationInfoList(int, Function1<ApplicationInfo, Object>) - Method in interface org.apache.spark.status.api.v1.UIRoot
getAppSparkVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string app_spark_version = 8;
getAppSparkVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string app_spark_version = 8;
getAppSparkVersion() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string app_spark_version = 8;
getAppSparkVersionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string app_spark_version = 8;
getAppSparkVersionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string app_spark_version = 8;
getAppSparkVersionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string app_spark_version = 8;
getArray(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getArray(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getArray(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getArray(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getArray(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the array type value for rowId.
GetArrayItem - Class in org.apache.spark.sql.connector.expressions: Get array item expression.
GetArrayItem(Expression, Expression, boolean) - Constructor for class org.apache.spark.sql.connector.expressions.GetArrayItem: Creates GetArrayItem expression.
getAs(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i.
getAs(String) - Method in interface org.apache.spark.sql.Row: Returns the value of a given fieldName.
getAsJava() - Method in class org.apache.spark.sql.Observation: (Java-specific) Get the observed metrics.
getAssociationRulesFromFP(Dataset<?>, String, String, double, Map<T, Object>, long, ClassTag<T>) - Static method in class org.apache.spark.ml.fpm.AssociationRules: Computes the association rules with confidence above minConfidence.
getAsymmetricAlpha() - Method in class org.apache.spark.mllib.clustering.LDA: Alias for LDA.getAsymmetricDocConcentration()
getAsymmetricDocConcentration() - Method in class org.apache.spark.mllib.clustering.LDA: Concentration parameter (commonly named "alpha") for the prior placed on documents' distributions over topics ("theta").
getAttempt() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int32 attempt = 3;
getAttempt() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: int32 attempt = 3;
getAttempt() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: int32 attempt = 3;
getAttempt() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 attempt = 3;
getAttempt() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int32 attempt = 3;
getAttempt() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int32 attempt = 3;
getAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string attempt_id = 1;
getAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string attempt_id = 1;
getAttemptId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string attempt_id = 1;
getAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 attempt_id = 3;
getAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 attempt_id = 3;
getAttemptId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 attempt_id = 3;
getAttemptIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string attempt_id = 1;
getAttemptIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string attempt_id = 1;
getAttemptIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string attempt_id = 1;
getAttempts(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttempts(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttempts(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttemptsOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ApplicationAttemptInfo attempts = 7;
getAttr(int) - Method in class org.apache.spark.ml.attribute.AttributeGroup: Gets an attribute by its index.
getAttr(String) - Method in class org.apache.spark.ml.attribute.AttributeGroup: Gets an attribute by its name.
getAttributes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: Deprecated.
getAttributes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: Deprecated.
getAttributes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: Deprecated.
getAttributesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
getAttributesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getAttributesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> attributes = 27;
getAttributesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> attributes = 27;
getAttributesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> attributes = 27;
getAttributesMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> attributes = 27;
getAttributesOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> attributes = 27;
getAttributesOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> attributes = 27;
getAttributesOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> attributes = 27;
getAttributesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> attributes = 27;
getAttributesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> attributes = 27;
getAttributesOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> attributes = 27;
getAvroSchema() - Method in class org.apache.spark.SparkConf: Gets all the avro schemas in the configuration used in the generic Avro record serializer
getBarrier() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: bool barrier = 4;
getBarrier() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: bool barrier = 4;
getBarrier() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: bool barrier = 4;
getBatchDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: int64 batch_duration = 6;
getBatchDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: int64 batch_duration = 6;
getBatchDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: int64 batch_duration = 6;
getBatchId() - Method in interface org.apache.spark.sql.streaming.QueryInfo: Function to return unique batch id associated with stateful operator.
getBatchId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: int64 batch_id = 5;
getBatchId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: int64 batch_id = 5;
getBatchId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: int64 batch_id = 5;
getBatchingTimeout(SparkConf) - Static method in class org.apache.spark.streaming.util.WriteAheadLogUtils: How long we will wait for the wrappedLog in the BatchedWriteAheadLog to write the records before we fail the write attempt to unblock receivers.
getBernoulliSamplingFunction(RDD<Tuple2<K, V>>, Map<K, Object>, boolean, long) - Static method in class org.apache.spark.util.random.StratifiedSamplingUtils: Return the per partition sampling function used for sampling without replacement.
getBeta() - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
getBeta() - Method in class org.apache.spark.mllib.clustering.LDA: Alias for LDA.getTopicConcentration()
getBin(int) - Method in class org.apache.spark.sql.util.NumericHistogram: Returns a particular histogram bin.
getBinary() - Method in interface org.apache.spark.ml.feature.CountVectorizerParams
getBinary() - Method in class org.apache.spark.ml.feature.HashingTF
getBinary(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getBinary(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getBinary(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getBinary(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getBinary(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the binary type value for rowId.
getbit(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns the value of the bit (0 or 1) at the specified position.
getBlacklistedInStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStages(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStagesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: repeated int64 blacklisted_in_stages = 25;
getBlacklistedInStagesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: repeated int64 blacklisted_in_stages = 25;
getBlockName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string block_name = 1;
getBlockName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: optional string block_name = 1;
getBlockName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: optional string block_name = 1;
getBlockNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string block_name = 1;
getBlockNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: optional string block_name = 1;
getBlockNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: optional string block_name = 1;
getBlockSize() - Method in interface org.apache.spark.ml.param.shared.HasBlockSize
GetBlockStatus(BlockId, boolean) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetBlockStatus
GetBlockStatus$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetBlockStatus$
getBoolean(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a primitive boolean.
getBoolean(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getBoolean(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getBoolean(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getBoolean(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getBoolean(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the boolean type value for rowId.
getBoolean(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Boolean.
getBoolean(String, boolean) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a parameter as a boolean, falling back to a default if not set
getBoolean(String, boolean) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap: Returns the boolean value to which the specified key is mapped, or defaultValue if there is no mapping for the key.
getBooleanArray(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Boolean array.
getBooleans(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Gets boolean type values from [rowId, rowId + count).
getBootstrap() - Method in interface org.apache.spark.ml.tree.RandomForestParams
getBreakingChangeInfo() - Method in interface org.apache.spark.SparkThrowable
getBreakingChangeInfo(String) - Method in class org.apache.spark.ErrorClassesJsonReader
getBreakingChangeInfo(String) - Static method in class org.apache.spark.SparkThrowableHelper
getBucketLength() - Method in interface org.apache.spark.ml.feature.BucketedRandomProjectionLSHParams
getBuf() - Method in class org.apache.spark.util.ExposedBufferByteArrayOutputStream
getBuilder() - Method in class org.apache.spark.storage.memory.DeserializedValuesHolder
getBuilder() - Method in class org.apache.spark.storage.memory.SerializedValuesHolder
getBuilder() - Method in interface org.apache.spark.storage.memory.ValuesHolder: Note: After this method is called, the ValuesHolder is invalid, we can't store data and get estimate size again.
getByte(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a primitive byte.
getByte(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getByte(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getByte(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getByte(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getByte(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the byte type value for rowId.
getBytes() - Method in class org.apache.spark.sql.types.Geography
getBytes() - Method in class org.apache.spark.sql.types.Geometry
getBytes(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Gets byte type values from [rowId, rowId + count).
getBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double bytes_read = 18;
getBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double bytes_read = 18;
getBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double bytes_read = 18;
getBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder: int64 bytes_read = 1;
getBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics: int64 bytes_read = 1;
getBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricsOrBuilder: int64 bytes_read = 1;
getBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double bytes_read = 1;
getBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions: repeated double bytes_read = 1;
getBytesRead(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributionsOrBuilder: repeated double bytes_read = 1;
getBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double bytes_read = 1;
getBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions: repeated double bytes_read = 1;
getBytesReadCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributionsOrBuilder: repeated double bytes_read = 1;
getBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double bytes_read = 1;
getBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions: repeated double bytes_read = 1;
getBytesReadList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributionsOrBuilder: repeated double bytes_read = 1;
getBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double bytes_written = 20;
getBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double bytes_written = 20;
getBytesWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double bytes_written = 20;
getBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder: int64 bytes_written = 1;
getBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics: int64 bytes_written = 1;
getBytesWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricsOrBuilder: int64 bytes_written = 1;
getBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder: int64 bytes_written = 1;
getBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics: int64 bytes_written = 1;
getBytesWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricsOrBuilder: int64 bytes_written = 1;
getBytesWritten(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double bytes_written = 1;
getBytesWritten(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions: repeated double bytes_written = 1;
getBytesWritten(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributionsOrBuilder: repeated double bytes_written = 1;
getBytesWrittenCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double bytes_written = 1;
getBytesWrittenCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions: repeated double bytes_written = 1;
getBytesWrittenCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributionsOrBuilder: repeated double bytes_written = 1;
getBytesWrittenList() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double bytes_written = 1;
getBytesWrittenList() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions: repeated double bytes_written = 1;
getBytesWrittenList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributionsOrBuilder: repeated double bytes_written = 1;
getCached() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: bool cached = 3;
getCached() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: bool cached = 3;
getCached() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: bool cached = 3;
getCachedBlockManagerId(BlockManagerId) - Static method in class org.apache.spark.storage.BlockManagerId
getCachedMetadata(String) - Static method in class org.apache.spark.rdd.HadoopRDD: The three methods below are helpers for accessing the local map, a property of the SparkEnv of the local process.
getCacheNodeIds() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getCallsite() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string callsite = 5;
getCallsite() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: optional string callsite = 5;
getCallsite() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: optional string callsite = 5;
getCallSite(Function1<String, Object>) - Static method in class org.apache.spark.util.Utils: When called inside a class in the spark package, returns the name of the user code class (outside the spark package) that called into Spark, as well as which Spark method they called.
getCallsiteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string callsite = 5;
getCallsiteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: optional string callsite = 5;
getCallsiteBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: optional string callsite = 5;
getCaseSensitive() - Method in class org.apache.spark.ml.feature.StopWordsRemover
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.AggregatedDialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.DatabricksDialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.DerbyDialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Get the custom datatype mapping for the given jdbc meta information.
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getCatalystType(int, String, int, MetadataBuilder) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
getCatalystType(int, String, int, MetadataBuilder) - Method in class org.apache.spark.sql.jdbc.TeradataDialect
getCategoricalCols() - Method in class org.apache.spark.ml.feature.FeatureHasher
getCategoricalFeatures(StructField) - Static method in class org.apache.spark.ml.util.MetadataUtils: Examine a schema to identify categorical (Binary and Nominal) features.
getCategoricalFeaturesInfo() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getCensorCol() - Method in interface org.apache.spark.ml.regression.AFTSurvivalRegressionParams
getCharContent(boolean) - Method in class org.apache.spark.util.SparkTestUtils.JavaSourceFromString
getCheckpointDir() - Method in class org.apache.spark.api.java.JavaSparkContext
getCheckpointDir() - Method in class org.apache.spark.SparkContext
getCheckpointFile() - Method in interface org.apache.spark.api.java.JavaRDDLike: Gets the name of the file to which this RDD was checkpointed
getCheckpointFile() - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl
getCheckpointFile() - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
getCheckpointFile() - Method in class org.apache.spark.rdd.RDD: Gets the name of the directory to which this RDD was checkpointed.
getCheckpointFiles() - Method in class org.apache.spark.graphx.Graph: Gets the name of the files to which this Graph was checkpointed.
getCheckpointFiles() - Method in class org.apache.spark.graphx.impl.GraphImpl
getCheckpointFiles() - Method in class org.apache.spark.ml.clustering.DistributedLDAModel: If using checkpointing and LDA.keepLastCheckpoint is set to true, then there may be saved checkpoint files.
getCheckpointInterval() - Method in interface org.apache.spark.ml.param.shared.HasCheckpointInterval
getCheckpointInterval() - Method in class org.apache.spark.mllib.clustering.LDA: Period (in iterations) between checkpoints.
getCheckpointInterval() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getChild(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getChild(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector
getChildClusters(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClusters(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClusters(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildClustersOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationClusterWrapper child_clusters = 4;
getChildNodes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getChildNodesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationNode child_nodes = 3;
getClassifier() - Method in interface org.apache.spark.ml.classification.OneVsRestParams
getClasspathEntries(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntries(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntries(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getClasspathEntriesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings classpath_entries = 6;
getCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
getCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
getCluster() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapperOrBuilder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
getClusterBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
getClusterOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
getClusterOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
getClusterOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapperOrBuilder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
getColdStartStrategy() - Method in interface org.apache.spark.ml.recommendation.ALSModelParams
getCollectSubModels() - Method in interface org.apache.spark.ml.param.shared.HasCollectSubModels
getColumnName(Seq<Object>, StructType) - Static method in class org.apache.spark.sql.util.SchemaUtils: Gets the name of the column in the given position.
getCombOp() - Static method in class org.apache.spark.util.random.StratifiedSamplingUtils: Returns the function used combine results returned by seqOp from different partitions.
getComment() - Method in class org.apache.spark.sql.types.StructField: Return the comment of this StructField.
getCommitTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 commit_time_ms = 7;
getCommitTimeMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 commit_time_ms = 7;
getCommitTimeMs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 commit_time_ms = 7;
getCompleted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: bool completed = 7;
getCompleted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: bool completed = 7;
getCompleted() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: bool completed = 7;
getCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 completed_tasks = 11;
getCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 completed_tasks = 11;
getCompletedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 completed_tasks = 11;
getCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional int64 completion_time = 5;
getCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional int64 completion_time = 5;
getCompletionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional int64 completion_time = 5;
getCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional int64 completion_time = 9;
getCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional int64 completion_time = 9;
getCompletionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional int64 completion_time = 9;
getCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 completion_time = 12;
getCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional int64 completion_time = 12;
getCompletionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional int64 completion_time = 12;
getCondition() - Method in exception org.apache.spark.SparkException
getCondition() - Method in interface org.apache.spark.SparkThrowable: Succinct, human-readable, unique, and consistent representation of the error condition.
getCondition() - Method in exception org.apache.spark.sql.AnalysisException
getCondition() - Method in exception org.apache.spark.sql.streaming.StreamingQueryException
getConf() - Method in class org.apache.spark.api.java.JavaSparkContext: Return a copy of this JavaSparkContext's configuration.
getConf() - Method in interface org.apache.spark.input.Configurable
getConf() - Method in class org.apache.spark.rdd.HadoopRDD
getConf() - Method in class org.apache.spark.rdd.NewHadoopRDD
getConf() - Method in class org.apache.spark.SparkContext: Return a copy of this SparkContext's configuration.
getConf(String) - Method in class org.apache.spark.sql.SQLContext: Return the value of Spark SQL configuration property for the given key.
getConf(String, String) - Method in class org.apache.spark.sql.SQLContext: Return the value of Spark SQL configuration property for the given key.
getConfiguration() - Method in class org.apache.spark.input.PortableDataStream
getConfiguredLocalDirs(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Return the configured local directories where Spark can write files.
getConnection() - Method in interface org.apache.spark.rdd.JdbcRDD.ConnectionFactory: Deprecated.
getConnection(Driver, Map<String, String>) - Method in class org.apache.spark.sql.jdbc.JdbcConnectionProvider: Opens connection to the database.
getContextOrSparkClassLoader() - Method in interface org.apache.spark.util.SparkClassUtils
getContextOrSparkClassLoader() - Static method in class org.apache.spark.util.Utils
getConvergenceTol() - Method in class org.apache.spark.mllib.clustering.GaussianMixture: Return the largest change in log-likelihood at which convergence is considered to have occurred.
getCoresGranted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 cores_granted = 3;
getCoresGranted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 cores_granted = 3;
getCoresGranted() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 cores_granted = 3;
getCoresPerExecutor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 cores_per_executor = 5;
getCoresPerExecutor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 cores_per_executor = 5;
getCoresPerExecutor() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 cores_per_executor = 5;
getCorrelationFromName(String) - Static method in class org.apache.spark.mllib.stat.correlation.Correlations
getCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunks(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunksCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double corrupt_merged_block_chunks = 1;
getCorruptMergedBlockChunksList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double corrupt_merged_block_chunks = 1;
getCount() - Method in class org.apache.spark.storage.CountingWritableChannel
getCurrentDefaultValue() - Method in class org.apache.spark.sql.types.StructField: Return the current default value of this StructField.
getCurrentProcessingTimeInMs() - Method in interface org.apache.spark.sql.streaming.TimerValues: Function to get the current processing time as milliseconds in epoch time.
getCurrentProcessingTimeMs() - Method in interface org.apache.spark.sql.streaming.GroupState: Get the current processing time as milliseconds in epoch time.
getCurrentUserGroups(ReadOnlySparkConf, String) - Static method in class org.apache.spark.util.Utils
getCurrentUserName() - Static method in class org.apache.spark.util.Utils: Returns the current user name.
getCurrentWatermarkInMs() - Method in interface org.apache.spark.sql.streaming.TimerValues: Function to get the current event time watermark as milliseconds in epoch time.
getCurrentWatermarkMs() - Method in interface org.apache.spark.sql.streaming.GroupState: Get the current event time watermark as milliseconds in epoch time.
getCustomMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: Deprecated.
getCustomMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: Deprecated.
getCustomMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: Deprecated.
getCustomMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
getCustomMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
getCustomMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: map<string, int64> custom_metrics = 12;
getCustomMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: map<string, int64> custom_metrics = 12;
getCustomMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: map<string, int64> custom_metrics = 12;
getCustomMetricsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: map<string, int64> custom_metrics = 12;
getCustomMetricsOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: map<string, int64> custom_metrics = 12;
getCustomMetricsOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: map<string, int64> custom_metrics = 12;
getCustomMetricsOrDefault(String, long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: map<string, int64> custom_metrics = 12;
getCustomMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: map<string, int64> custom_metrics = 12;
getCustomMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: map<string, int64> custom_metrics = 12;
getCustomMetricsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: map<string, int64> custom_metrics = 12;
getData(Row) - Static method in class org.apache.spark.ml.image.ImageSchema: Gets the image data
getDatabase(String) - Method in class org.apache.spark.sql.catalog.Catalog: Get the database (namespace) with the specified name (can be qualified with catalog).
getDataDistribution(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistribution(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistribution(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDataDistributionOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDDataDistribution data_distribution = 8;
getDate(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of date type as java.sql.Date.
getDayTimeIntervalAsMicros(String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Converts a day-time interval string to a long value micros.
getDayTimeIntervalAsMicros(String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getDecimal(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of decimal type as java.math.BigDecimal.
getDecimal(int, int, int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getDecimal(int, int, int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getDecimal(int, int, int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getDecimal(int, int, int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getDecimal(int, int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the decimal type value for rowId.
getDecompressionCodec(Configuration, Path) - Static method in class org.apache.spark.io.HadoopCodecStreams
getDefault(Param<T>) - Method in interface org.apache.spark.ml.param.Params: Gets the default value of a parameter.
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.JobData
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
getDefaultInstance() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder
getDefaultInstanceForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
getDefaultMessageTemplate() - Method in interface org.apache.spark.SparkThrowable: Returns the default message template for this error.
getDefaultMessageTemplate() - Method in exception org.apache.spark.sql.AnalysisException
getDefaultPropertiesFile(Map<String, String>) - Static method in class org.apache.spark.util.Utils: Return the path of the default Spark properties file.
getDefaultReadLimit() - Method in interface org.apache.spark.sql.connector.read.streaming.SupportsAdmissionControl: Returns the read limits potentially passed to the data source through options when creating the data source.
getDefaultSession() - Static method in class org.apache.spark.sql.SparkSession
getDegree() - Method in class org.apache.spark.ml.feature.PolynomialExpansion
getDeleteColumnQuery(String, String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getDeleteColumnQuery(String, String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getDenseSizeInBytes() - Method in interface org.apache.spark.ml.linalg.Matrix: Gets the size of the dense representation of this `Matrix`.
getDependencies() - Method in class org.apache.spark.rdd.CoGroupedRDD
getDependencies() - Method in class org.apache.spark.rdd.ShuffledRDD
getDependencies() - Method in class org.apache.spark.rdd.UnionRDD
getDeprecatedConfig(String, Map<String, String>) - Static method in class org.apache.spark.SparkConf: Looks for available deprecated keys for the given config option, and return the first value available.
getDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string desc = 3;
getDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: optional string desc = 3;
getDesc() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: optional string desc = 3;
getDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string desc = 3;
getDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: optional string desc = 3;
getDesc() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: optional string desc = 3;
getDescBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string desc = 3;
getDescBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: optional string desc = 3;
getDescBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: optional string desc = 3;
getDescBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string desc = 3;
getDescBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: optional string desc = 3;
getDescBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: optional string desc = 3;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string description = 3;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string description = 3;
getDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string description = 3;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: optional string description = 1;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: optional string description = 1;
getDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: optional string description = 1;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string description = 1;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string description = 1;
getDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string description = 1;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string description = 3;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string description = 3;
getDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string description = 3;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string description = 40;
getDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string description = 40;
getDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string description = 40;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string description = 3;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string description = 3;
getDescriptionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string description = 3;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: optional string description = 1;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: optional string description = 1;
getDescriptionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: optional string description = 1;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string description = 1;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string description = 1;
getDescriptionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string description = 1;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string description = 3;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string description = 3;
getDescriptionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string description = 3;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string description = 40;
getDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string description = 40;
getDescriptionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string description = 40;
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
getDescriptor() - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.JobData
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
getDescriptor() - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.JobExecutionStatus
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
getDescriptor() - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.StageStatus
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder
getDescriptor() - Static method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder
getDescriptorForType() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder
getDescriptorForType() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.JobExecutionStatus
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
getDescriptorForType() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.StageStatus
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder
getDescriptorForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder
getDeserialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: bool deserialized = 7;
getDeserialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: bool deserialized = 7;
getDeserialized() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: bool deserialized = 7;
getDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string details = 4;
getDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string details = 4;
getDetails() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string details = 4;
getDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string details = 41;
getDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string details = 41;
getDetails() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string details = 41;
getDetailsBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string details = 4;
getDetailsBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string details = 4;
getDetailsBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string details = 4;
getDetailsBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string details = 41;
getDetailsBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string details = 41;
getDetailsBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string details = 41;
getDiscoveryScript() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string discovery_script = 3;
getDiscoveryScript() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string discovery_script = 3;
getDiscoveryScript() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string discovery_script = 3;
getDiscoveryScriptBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string discovery_script = 3;
getDiscoveryScriptBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string discovery_script = 3;
getDiscoveryScriptBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string discovery_script = 3;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double disk_bytes_spilled = 17;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double disk_bytes_spilled = 17;
getDiskBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double disk_bytes_spilled = 17;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 disk_bytes_spilled = 14;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 disk_bytes_spilled = 14;
getDiskBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 disk_bytes_spilled = 14;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 disk_bytes_spilled = 22;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 disk_bytes_spilled = 22;
getDiskBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 disk_bytes_spilled = 22;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 disk_bytes_spilled = 24;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 disk_bytes_spilled = 24;
getDiskBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 disk_bytes_spilled = 24;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 disk_bytes_spilled = 9;
getDiskBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 disk_bytes_spilled = 9;
getDiskBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 disk_bytes_spilled = 9;
getDiskBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilled(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilled(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilledCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilledCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilledList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double disk_bytes_spilled = 15;
getDiskBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double disk_bytes_spilled = 14;
getDiskBytesSpilledList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double disk_bytes_spilled = 14;
getDiskSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: int64 disk_size = 9;
getDiskSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: int64 disk_size = 9;
getDiskSize() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: int64 disk_size = 9;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 disk_used = 6;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 disk_used = 6;
getDiskUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 disk_used = 6;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: int64 disk_used = 4;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: int64 disk_used = 4;
getDiskUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: int64 disk_used = 4;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: int64 disk_used = 4;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: int64 disk_used = 4;
getDiskUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: int64 disk_used = 4;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int64 disk_used = 7;
getDiskUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: int64 disk_used = 7;
getDiskUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: int64 disk_used = 7;
getDistanceMeasure() - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator
getDistanceMeasure() - Method in class org.apache.spark.ml.evaluation.ClusteringMetrics
getDistanceMeasure() - Method in interface org.apache.spark.ml.param.shared.HasDistanceMeasure
getDistanceMeasure() - Method in class org.apache.spark.mllib.clustering.BisectingKMeans: The distance suite used by the algorithm.
getDistanceMeasure() - Method in class org.apache.spark.mllib.clustering.KMeans: The distance suite used by the algorithm.
getDistributions() - Method in class org.apache.spark.status.LiveRDD
getDocConcentration() - Method in interface org.apache.spark.ml.clustering.LDAParams
getDocConcentration() - Method in class org.apache.spark.mllib.clustering.LDA: Concentration parameter (commonly named "alpha") for the prior placed on documents' distributions over topics ("theta").
getDouble(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a primitive double.
getDouble(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getDouble(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getDouble(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getDouble(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getDouble(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the double type value for rowId.
getDouble(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Double.
getDouble(String, double) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a parameter as a double, falling back to a default if not ste
getDouble(String, double) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap: Returns the double value to which the specified key is mapped, or defaultValue if there is no mapping for the key.
getDoubleArray(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Double array.
getDoubles(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Gets double type values from [rowId, rowId + count).
getDriverAttributes() - Method in interface org.apache.spark.scheduler.SchedulerBackend: Get the attributes on driver.
getDriverLogUrls() - Method in interface org.apache.spark.scheduler.SchedulerBackend: Get the URLs for the driver logs.
getDropLast() - Method in interface org.apache.spark.ml.feature.OneHotEncoderBase
getDstCol() - Method in interface org.apache.spark.ml.clustering.PowerIterationClusteringParams
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 duration = 5;
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: int64 duration = 5;
getDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: int64 duration = 5;
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double duration = 5;
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double duration = 5;
getDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double duration = 5;
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional int64 duration = 7;
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional int64 duration = 7;
getDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional int64 duration = 7;
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 duration = 7;
getDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 duration = 7;
getDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 duration = 7;
getDuration(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double duration = 2;
getDuration(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double duration = 2;
getDuration(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double duration = 2;
getDuration(JobData) - Static method in class org.apache.spark.ui.jobs.JobDataUtil
getDuration(StageData) - Static method in class org.apache.spark.ui.jobs.StageDataUtil
getDurationCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double duration = 2;
getDurationCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double duration = 2;
getDurationCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double duration = 2;
getDurationList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double duration = 2;
getDurationList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double duration = 2;
getDurationList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double duration = 2;
getDurationMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: Deprecated.
getDurationMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: Deprecated.
getDurationMs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: Deprecated.
getDurationMsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
getDurationMsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getDurationMsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, int64> duration_ms = 7;
getDurationMsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, int64> duration_ms = 7;
getDurationMsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, int64> duration_ms = 7;
getDurationMsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, int64> duration_ms = 7;
getDurationMsOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, int64> duration_ms = 7;
getDurationMsOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, int64> duration_ms = 7;
getDurationMsOrDefault(String, long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, int64> duration_ms = 7;
getDurationMsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, int64> duration_ms = 7;
getDurationMsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, int64> duration_ms = 7;
getDurationMsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, int64> duration_ms = 7;
getDynamicAllocationInitialExecutors(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Return the initial number of executors for dynamic allocation.
getEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdges(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdges(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge edges = 2;
getEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getEdgesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphEdge edges = 3;
getElasticNetParam() - Method in interface org.apache.spark.ml.param.shared.HasElasticNetParam
getEndOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string end_offset = 3;
getEndOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string end_offset = 3;
getEndOffset() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string end_offset = 3;
getEndOffsetBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string end_offset = 3;
getEndOffsetBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string end_offset = 3;
getEndOffsetBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string end_offset = 3;
getEndTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 end_time = 3;
getEndTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: int64 end_time = 3;
getEndTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: int64 end_time = 3;
getEndTimeEpoch() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
getEndTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional int64 end_timestamp = 7;
getEndTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional int64 end_timestamp = 7;
getEndTimestamp() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional int64 end_timestamp = 7;
getenv(String) - Method in interface org.apache.spark.ReadOnlySparkConf: By using this instead of System.getenv(), environment variables can be mocked in unit tests.
getEps() - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
getEpsilon() - Method in interface org.apache.spark.ml.regression.LinearRegressionParams
getEpsilon() - Method in class org.apache.spark.mllib.clustering.KMeans: The distance threshold within which we've consider centers to have converged.
getError() - Method in interface org.apache.spark.launcher.SparkAppHandle: If the application failed due to an error, return the underlying error.
getErrorClass() - Method in interface org.apache.spark.SparkThrowable: Deprecated.
Use SparkThrowable.getCondition() instead.
getErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string error_message = 10;
getErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string error_message = 10;
getErrorMessage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string error_message = 10;
getErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string error_message = 14;
getErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string error_message = 14;
getErrorMessage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string error_message = 14;
getErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string error_message = 14;
getErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string error_message = 14;
getErrorMessage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string error_message = 14;
getErrorMessage(String, String, Map<String, Object>) - Method in class org.apache.spark.ErrorClassesJsonReader
getErrorMessage(String, Map<String, Object>) - Method in class org.apache.spark.ErrorClassesJsonReader
getErrorMessageBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string error_message = 10;
getErrorMessageBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string error_message = 10;
getErrorMessageBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string error_message = 10;
getErrorMessageBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string error_message = 14;
getErrorMessageBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string error_message = 14;
getErrorMessageBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string error_message = 14;
getErrorMessageBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string error_message = 14;
getErrorMessageBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string error_message = 14;
getErrorMessageBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string error_message = 14;
getEstimatedSize() - Method in interface org.apache.spark.ml.tree.DecisionTreeModel
getEstimatedSize() - Method in interface org.apache.spark.ml.tree.TreeEnsembleModel
getEstimator() - Method in interface org.apache.spark.ml.tuning.ValidatorParams
getEstimatorParamMaps() - Method in interface org.apache.spark.ml.tuning.ValidatorParams
getEvaluator() - Method in interface org.apache.spark.ml.tuning.ValidatorParams
getEventTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: Deprecated.
getEventTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: Deprecated.
getEventTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: Deprecated.
getEventTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
getEventTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getEventTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> event_time = 8;
getEventTimeMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> event_time = 8;
getEventTimeMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> event_time = 8;
getEventTimeMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> event_time = 8;
getEventTimeOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> event_time = 8;
getEventTimeOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> event_time = 8;
getEventTimeOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> event_time = 8;
getEventTimeOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> event_time = 8;
getEventTimeOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> event_time = 8;
getEventTimeOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> event_time = 8;
getException() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string exception = 5;
getException() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string exception = 5;
getException() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string exception = 5;
getExceptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string exception = 5;
getExceptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string exception = 5;
getExceptionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string exception = 5;
getExcludedInStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 excluded_in_stages = 31;
getExcludedInStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: repeated int64 excluded_in_stages = 31;
getExcludedInStages(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: repeated int64 excluded_in_stages = 31;
getExcludedInStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 excluded_in_stages = 31;
getExcludedInStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: repeated int64 excluded_in_stages = 31;
getExcludedInStagesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: repeated int64 excluded_in_stages = 31;
getExcludedInStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: repeated int64 excluded_in_stages = 31;
getExcludedInStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: repeated int64 excluded_in_stages = 31;
getExcludedInStagesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: repeated int64 excluded_in_stages = 31;
getExecutionContext() - Method in interface org.apache.spark.ml.param.shared.HasParallelism: Create a new execution context with a thread-pool that has a maximum number of threads set to the value of HasParallelism.parallelism().
getExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: int64 execution_id = 1;
getExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: int64 execution_id = 1;
getExecutionId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: int64 execution_id = 1;
getExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: int64 execution_id = 1;
getExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: int64 execution_id = 1;
getExecutionId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: int64 execution_id = 1;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_cpu_time = 9;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double executor_cpu_time = 9;
getExecutorCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double executor_cpu_time = 9;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_cpu_time = 17;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 executor_cpu_time = 17;
getExecutorCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 executor_cpu_time = 17;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_cpu_time = 19;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 executor_cpu_time = 19;
getExecutorCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 executor_cpu_time = 19;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_cpu_time = 4;
getExecutorCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 executor_cpu_time = 4;
getExecutorCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 executor_cpu_time = 4;
getExecutorCpuTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_cpu_time = 6;
getExecutorCpuTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_cpu_time = 6;
getExecutorCpuTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_cpu_time = 6;
getExecutorCpuTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_cpu_time = 6;
getExecutorCpuTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_cpu_time = 6;
getExecutorCpuTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_cpu_time = 6;
getExecutorCpuTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_cpu_time = 6;
getExecutorCpuTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_cpu_time = 6;
getExecutorCpuTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_cpu_time = 6;
getExecutorDecommissionState(String) - Method in interface org.apache.spark.scheduler.TaskScheduler: If an executor is decommissioned, return its corresponding decommission info
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_deserialize_cpu_time = 7;
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double executor_deserialize_cpu_time = 7;
getExecutorDeserializeCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double executor_deserialize_cpu_time = 7;
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_deserialize_cpu_time = 15;
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 executor_deserialize_cpu_time = 15;
getExecutorDeserializeCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 executor_deserialize_cpu_time = 15;
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_deserialize_cpu_time = 17;
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 executor_deserialize_cpu_time = 17;
getExecutorDeserializeCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 executor_deserialize_cpu_time = 17;
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_deserialize_cpu_time = 2;
getExecutorDeserializeCpuTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 executor_deserialize_cpu_time = 2;
getExecutorDeserializeCpuTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 executor_deserialize_cpu_time = 2;
getExecutorDeserializeCpuTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeCpuTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_deserialize_cpu_time = 4;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_deserialize_time = 6;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double executor_deserialize_time = 6;
getExecutorDeserializeTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double executor_deserialize_time = 6;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_deserialize_time = 14;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 executor_deserialize_time = 14;
getExecutorDeserializeTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 executor_deserialize_time = 14;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_deserialize_time = 16;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 executor_deserialize_time = 16;
getExecutorDeserializeTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 executor_deserialize_time = 16;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_deserialize_time = 1;
getExecutorDeserializeTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 executor_deserialize_time = 1;
getExecutorDeserializeTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 executor_deserialize_time = 1;
getExecutorDeserializeTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_deserialize_time = 3;
getExecutorDeserializeTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_deserialize_time = 3;
GetExecutorEndpointRef(String) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetExecutorEndpointRef
GetExecutorEndpointRef$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetExecutorEndpointRef$
getExecutorEnv() - Method in class org.apache.spark.SparkConf: Get all executor environment variables set on this SparkConf
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: optional string executor_id = 3;
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: optional string executor_id = 3;
getExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: optional string executor_id = 3;
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string executor_id = 2;
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string executor_id = 2;
getExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string executor_id = 2;
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string executor_id = 8;
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string executor_id = 8;
getExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string executor_id = 8;
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string executor_id = 8;
getExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string executor_id = 8;
getExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string executor_id = 8;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: optional string executor_id = 3;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: optional string executor_id = 3;
getExecutorIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: optional string executor_id = 3;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string executor_id = 2;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string executor_id = 2;
getExecutorIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string executor_id = 2;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string executor_id = 8;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string executor_id = 8;
getExecutorIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string executor_id = 8;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string executor_id = 8;
getExecutorIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string executor_id = 8;
getExecutorIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string executor_id = 8;
getExecutorInfos() - Method in class org.apache.spark.SparkStatusTracker: Returns information of all known executors, including host, port, cacheSize, numRunningTasks and memory metrics.
getExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: Deprecated.
getExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: Deprecated.
getExecutorLogs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: Deprecated.
getExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: Deprecated.
getExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: Deprecated.
getExecutorLogs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: Deprecated.
getExecutorLogsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
getExecutorLogsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getExecutorLogsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> executor_logs = 23;
getExecutorLogsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
getExecutorLogsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
getExecutorLogsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: map<string, string> executor_logs = 16;
getExecutorLogsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> executor_logs = 23;
getExecutorLogsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> executor_logs = 23;
getExecutorLogsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> executor_logs = 23;
getExecutorLogsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: map<string, string> executor_logs = 16;
getExecutorLogsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: map<string, string> executor_logs = 16;
getExecutorLogsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: map<string, string> executor_logs = 16;
getExecutorLogsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> executor_logs = 23;
getExecutorLogsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> executor_logs = 23;
getExecutorLogsOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> executor_logs = 23;
getExecutorLogsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: map<string, string> executor_logs = 16;
getExecutorLogsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: map<string, string> executor_logs = 16;
getExecutorLogsOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: map<string, string> executor_logs = 16;
getExecutorLogsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, string> executor_logs = 23;
getExecutorLogsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, string> executor_logs = 23;
getExecutorLogsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, string> executor_logs = 23;
getExecutorLogsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: map<string, string> executor_logs = 16;
getExecutorLogsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: map<string, string> executor_logs = 16;
getExecutorLogsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: map<string, string> executor_logs = 16;
GetExecutorLossReason(String) - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.GetExecutorLossReason
GetExecutorLossReason$() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.GetExecutorLossReason$
getExecutorMemoryStatus() - Method in class org.apache.spark.SparkContext: Return a map from the block manager to the max memory available for caching and the remaining memory available for caching.
getExecutorMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetrics(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
getExecutorMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
getExecutorMetricsDistributions() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
getExecutorMetricsDistributionsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
getExecutorMetricsDistributionsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
getExecutorMetricsDistributionsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
getExecutorMetricsDistributionsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
getExecutorMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorMetricsOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated .org.apache.spark.status.protobuf.ExecutorMetrics executor_metrics = 2;
getExecutorResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: Deprecated.
getExecutorResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: Deprecated.
getExecutorResources() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: Deprecated.
getExecutorResourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
getExecutorResourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
getExecutorResourcesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesOrDefault(String, StoreTypes.ExecutorResourceRequest) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesOrDefault(String, StoreTypes.ExecutorResourceRequest) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesOrDefault(String, StoreTypes.ExecutorResourceRequest) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorResourcesOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorResourceRequest> executor_resources = 2;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double executor_run_time = 8;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double executor_run_time = 8;
getExecutorRunTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double executor_run_time = 8;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 executor_run_time = 16;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 executor_run_time = 16;
getExecutorRunTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 executor_run_time = 16;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 executor_run_time = 18;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 executor_run_time = 18;
getExecutorRunTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 executor_run_time = 18;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 executor_run_time = 3;
getExecutorRunTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 executor_run_time = 3;
getExecutorRunTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 executor_run_time = 3;
getExecutorRunTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_run_time = 5;
getExecutorRunTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_run_time = 5;
getExecutorRunTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_run_time = 5;
getExecutorRunTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_run_time = 5;
getExecutorRunTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_run_time = 5;
getExecutorRunTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_run_time = 5;
getExecutorRunTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double executor_run_time = 5;
getExecutorRunTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double executor_run_time = 5;
getExecutorRunTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double executor_run_time = 5;
getExecutors(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
getExecutors(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: repeated string executors = 5;
getExecutors(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: repeated string executors = 5;
getExecutorsBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
getExecutorsBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: repeated string executors = 5;
getExecutorsBytes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: repeated string executors = 5;
getExecutorsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
getExecutorsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: repeated string executors = 5;
getExecutorsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: repeated string executors = 5;
getExecutorsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: repeated string executors = 5;
getExecutorsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: repeated string executors = 5;
getExecutorsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: repeated string executors = 5;
getExecutorSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: Deprecated.
getExecutorSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: Deprecated.
getExecutorSummary() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: Deprecated.
getExecutorSummaryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
getExecutorSummaryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getExecutorSummaryCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryOrDefault(String, StoreTypes.ExecutorStageSummary) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryOrDefault(String, StoreTypes.ExecutorStageSummary) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryOrDefault(String, StoreTypes.ExecutorStageSummary) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExecutorSummaryOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, .org.apache.spark.status.protobuf.ExecutorStageSummary> executor_summary = 46;
getExpiryTimeInMs() - Method in interface org.apache.spark.sql.streaming.ExpiredTimerInfo: Function to return the expired timer's expiry time as milliseconds in epoch time.
getExpression() - Method in class org.apache.spark.sql.connector.catalog.DefaultValue: Returns the expression representing the default value, if provided.
getFactorSize() - Method in interface org.apache.spark.ml.regression.FactorizationMachinesParams
getFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int32 failed_tasks = 2;
getFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int32 failed_tasks = 2;
getFailedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int32 failed_tasks = 2;
getFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 failed_tasks = 10;
getFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 failed_tasks = 10;
getFailedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 failed_tasks = 10;
getFailedTasks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double failed_tasks = 3;
getFailedTasks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double failed_tasks = 3;
getFailedTasks(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double failed_tasks = 3;
getFailedTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double failed_tasks = 3;
getFailedTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double failed_tasks = 3;
getFailedTasksCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double failed_tasks = 3;
getFailedTasksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double failed_tasks = 3;
getFailedTasksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double failed_tasks = 3;
getFailedTasksList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double failed_tasks = 3;
getFailureReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string failure_reason = 13;
getFailureReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string failure_reason = 13;
getFailureReason() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string failure_reason = 13;
getFailureReasonBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string failure_reason = 13;
getFailureReasonBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string failure_reason = 13;
getFailureReasonBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string failure_reason = 13;
getFamily() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams
getFamily() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase
getFdr() - Method in interface org.apache.spark.ml.feature.SelectorParams
getFeatureIndex() - Method in interface org.apache.spark.ml.regression.IsotonicRegressionBase
getFeatureIndicesFromNames(StructField, String[]) - Static method in class org.apache.spark.ml.util.MetadataUtils: Takes a Vector column and a list of feature names, and returns the corresponding list of feature indices in the column, in order.
getFeatures() - Method in class org.apache.spark.ml.feature.LabeledPoint
getFeatures() - Method in class org.apache.spark.mllib.regression.LabeledPoint
getFeaturesAndLabels(RFormulaModel, Dataset<?>) - Static method in class org.apache.spark.ml.r.RWrapperUtils: Get the feature names and original labels from the schema of DataFrame transformed by RFormulaModel.
getFeaturesCol() - Method in interface org.apache.spark.ml.param.shared.HasFeaturesCol
getFeatureSubsetStrategy() - Method in interface org.apache.spark.ml.tree.TreeEnsembleParams
getFeatureType() - Method in interface org.apache.spark.ml.feature.UnivariateFeatureSelectorParams
getFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 fetch_wait_time = 3;
getFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 fetch_wait_time = 3;
getFetchWaitTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 fetch_wait_time = 3;
getFetchWaitTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double fetch_wait_time = 5;
getFetchWaitTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double fetch_wait_time = 5;
getFetchWaitTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double fetch_wait_time = 5;
getFetchWaitTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double fetch_wait_time = 5;
getFetchWaitTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double fetch_wait_time = 5;
getFetchWaitTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double fetch_wait_time = 5;
getFetchWaitTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double fetch_wait_time = 5;
getFetchWaitTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double fetch_wait_time = 5;
getFetchWaitTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double fetch_wait_time = 5;
getField(String) - Method in class org.apache.spark.sql.Column: An expression that gets a field by name in a StructType.
getFile(File, Seq<String>) - Method in interface org.apache.spark.util.SparkFileUtils
getFile(File, Seq<String>) - Static method in class org.apache.spark.util.Utils
getFile(Seq<String>) - Method in interface org.apache.spark.util.SparkFileUtils
getFile(Seq<String>) - Static method in class org.apache.spark.util.Utils
getFileLength(File, ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Return the file length, if the file is compressed it returns the uncompressed file length.
getFileSegmentLocations(String, long, long, Configuration) - Static method in class org.apache.spark.streaming.util.HdfsUtils: Get the locations of the HDFS blocks containing the given file segment.
getFileSystemForPath(Path, Configuration) - Static method in class org.apache.spark.streaming.util.HdfsUtils
getFinalStorageLevel() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getFinalValue() - Method in class org.apache.spark.partial.PartialResult: Blocking method to wait for and return the final value.
getFirstTaskLaunchedTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 first_task_launched_time = 11;
getFirstTaskLaunchedTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional int64 first_task_launched_time = 11;
getFirstTaskLaunchedTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional int64 first_task_launched_time = 11;
getFitIntercept() - Method in interface org.apache.spark.ml.param.shared.HasFitIntercept
getFitLinear() - Method in interface org.apache.spark.ml.regression.FactorizationMachinesParams
getFloat(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a primitive float.
getFloat(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getFloat(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getFloat(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getFloat(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getFloat(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the float type value for rowId.
getFloats(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Gets float type values from [rowId, rowId + count).
getFoldCol() - Method in interface org.apache.spark.ml.tuning.CrossValidatorParams
getForceIndexLabel() - Method in interface org.apache.spark.ml.feature.RFormulaBase
getFormattedClassName(Object) - Method in interface org.apache.spark.util.SparkClassUtils: Return the class name of the given object, removing all dollar signs
getFormattedClassName(Object) - Static method in class org.apache.spark.util.Utils
getFormattedDuration(JobData) - Static method in class org.apache.spark.ui.jobs.JobDataUtil
getFormattedDuration(StageData) - Static method in class org.apache.spark.ui.jobs.StageDataUtil
getFormattedSubmissionTime(JobData) - Static method in class org.apache.spark.ui.jobs.JobDataUtil
getFormattedSubmissionTime(StageData) - Static method in class org.apache.spark.ui.jobs.StageDataUtil
getFormula() - Method in interface org.apache.spark.ml.feature.RFormulaBase
getFpr() - Method in interface org.apache.spark.ml.feature.SelectorParams
getFromId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder: int32 from_id = 1;
getFromId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge: int32 from_id = 1;
getFromId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdgeOrBuilder: int32 from_id = 1;
getFromId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder: int64 from_id = 1;
getFromId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge: int64 from_id = 1;
getFromId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdgeOrBuilder: int64 from_id = 1;
getFullyQualifiedQuotedTableName(Identifier) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Return the DB-specific quoted and fully qualified table name
getFullyQualifiedQuotedTableName(Identifier) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getFunction(String) - Method in class org.apache.spark.sql.catalog.Catalog: Get the function with the specified name.
getFunction(String, String) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use getFunction(functionName: String) instead. Since 4.0.0.
getFwe() - Method in interface org.apache.spark.ml.feature.SelectorParams
getGaps() - Method in class org.apache.spark.ml.feature.RegexTokenizer
getGeography(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of date type as org.apache.spark.sql.types.Geography.
getGeography(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getGeography(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getGeography(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getGeography(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getGeography(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector
getGeometry(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of date type as org.apache.spark.sql.types.Geometry.
getGeometry(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getGeometry(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getGeometry(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getGeometry(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getGeometry(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector
getGettingResultTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double getting_result_time = 13;
getGettingResultTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double getting_result_time = 13;
getGettingResultTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double getting_result_time = 13;
getGettingResultTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 getting_result_time = 18;
getGettingResultTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: int64 getting_result_time = 18;
getGettingResultTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: int64 getting_result_time = 18;
getGettingResultTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double getting_result_time = 10;
getGettingResultTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double getting_result_time = 10;
getGettingResultTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double getting_result_time = 10;
getGettingResultTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double getting_result_time = 10;
getGettingResultTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double getting_result_time = 10;
getGettingResultTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double getting_result_time = 10;
getGettingResultTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double getting_result_time = 10;
getGettingResultTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double getting_result_time = 10;
getGettingResultTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double getting_result_time = 10;
getGroups(String) - Method in interface org.apache.spark.security.GroupMappingServiceProvider: Get the groups the user belongs to.
getHadoopFileSystem(String, Configuration) - Static method in class org.apache.spark.util.Utils: Return a Hadoop FileSystem with the scheme encoded in the given path.
getHadoopFileSystem(URI, Configuration) - Static method in class org.apache.spark.util.Utils: Return a Hadoop FileSystem with the scheme encoded in the given path.
getHadoopProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopProperties(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHadoopPropertiesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings hadoop_properties = 3;
getHandle() - Method in class org.apache.spark.sql.streaming.StatefulProcessor: Function to get the stateful processor handle that will be used to interact with the state
getHandleInvalid() - Method in interface org.apache.spark.ml.param.shared.HasHandleInvalid
getHasMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: bool has_metrics = 15;
getHasMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: bool has_metrics = 15;
getHasMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: bool has_metrics = 15;
getHeapHistogram() - Static method in class org.apache.spark.util.Utils: Return a heap dump.
getHeight(Row) - Static method in class org.apache.spark.ml.image.ImageSchema: Gets the height of the image
getHexString(byte[]) - Method in interface org.apache.spark.util.SparkStringUtils: Returns a pretty string of the byte array which prints each byte as a hex digit and add spaces between them.
getHexString(byte[]) - Static method in class org.apache.spark.util.Utils
getHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string host = 9;
getHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string host = 9;
getHost() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string host = 9;
getHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string host = 9;
getHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string host = 9;
getHost() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string host = 9;
getHostBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string host = 9;
getHostBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string host = 9;
getHostBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string host = 9;
getHostBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string host = 9;
getHostBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string host = 9;
getHostBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string host = 9;
getHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string host_port = 2;
getHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string host_port = 2;
getHostPort() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string host_port = 2;
getHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string host_port = 2;
getHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional string host_port = 2;
getHostPort() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional string host_port = 2;
getHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string host_port = 3;
getHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string host_port = 3;
getHostPort() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string host_port = 3;
getHostPortBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string host_port = 2;
getHostPortBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string host_port = 2;
getHostPortBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string host_port = 2;
getHostPortBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string host_port = 2;
getHostPortBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional string host_port = 2;
getHostPortBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional string host_port = 2;
getHostPortBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string host_port = 3;
getHostPortBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string host_port = 3;
getHostPortBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string host_port = 3;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: int64 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: int64 id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: int64 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional string id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional string id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: optional string id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: int32 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: int32 id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: int32 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int32 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: int32 id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: int32 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: int32 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: int32 id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: int32 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: int64 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: int64 id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: int64 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: int64 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: int64 id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: int64 id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string id = 2;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string id = 2;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string id = 2;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string id = 1;
getId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string id = 1;
getId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional string id = 1;
getIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string id = 1;
getIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional string id = 1;
getIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: optional string id = 1;
getIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string id = 2;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string id = 2;
getIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string id = 2;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string id = 1;
getIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string id = 1;
getIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string id = 1;
getImplicitPrefs() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getImpurity() - Method in interface org.apache.spark.ml.tree.HasVarianceImpurity
getImpurity() - Method in interface org.apache.spark.ml.tree.TreeClassifierParams
getImpurity() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getIncomingEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdges(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIncomingEdgesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge incoming_edges = 4;
getIndex() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int32 index = 2;
getIndex() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: int32 index = 2;
getIndex() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: int32 index = 2;
getIndex() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 index = 2;
getIndex() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int32 index = 2;
getIndex() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int32 index = 2;
getIndices() - Method in class org.apache.spark.ml.feature.VectorSlicer
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: .org.apache.spark.status.protobuf.JobData info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: .org.apache.spark.status.protobuf.JobData info = 1;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: .org.apache.spark.status.protobuf.JobData info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: .org.apache.spark.status.protobuf.StageData info = 1;
getInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: .org.apache.spark.status.protobuf.StageData info = 1;
getInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: .org.apache.spark.status.protobuf.StageData info = 1;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: .org.apache.spark.status.protobuf.JobData info = 1;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
getInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: .org.apache.spark.status.protobuf.StageData info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: .org.apache.spark.status.protobuf.JobData info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: .org.apache.spark.status.protobuf.JobData info = 1;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: .org.apache.spark.status.protobuf.JobData info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: .org.apache.spark.status.protobuf.StageData info = 1;
getInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: .org.apache.spark.status.protobuf.StageData info = 1;
getInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: .org.apache.spark.status.protobuf.StageData info = 1;
getInitializationMode() - Method in class org.apache.spark.mllib.clustering.KMeans: The initialization algorithm.
getInitializationSteps() - Method in class org.apache.spark.mllib.clustering.KMeans: Number of steps for the k-means|| initialization mode
getInitialModel() - Method in class org.apache.spark.mllib.clustering.GaussianMixture: Return the user supplied initial GMM, if supplied
getInitialTargetExecutorNumber(SparkConf, int) - Static method in class org.apache.spark.scheduler.cluster.SchedulerBackendUtils: Getting the initial target number of executors depends on whether dynamic allocation is enabled.
getInitialWeights() - Method in interface org.apache.spark.ml.classification.MultilayerPerceptronParams
getInitMode() - Method in interface org.apache.spark.ml.clustering.KMeansParams
getInitMode() - Method in interface org.apache.spark.ml.clustering.PowerIterationClusteringParams
getInitStd() - Method in interface org.apache.spark.ml.regression.FactorizationMachinesParams
getInitSteps() - Method in interface org.apache.spark.ml.clustering.KMeansParams
getInOutCols() - Method in interface org.apache.spark.ml.feature.ImputerParams: Returns the input and output column names corresponding in pair.
getInOutCols() - Method in interface org.apache.spark.ml.feature.OneHotEncoderBase: Returns the input and output column names corresponding in pair.
getInOutCols() - Method in interface org.apache.spark.ml.feature.StringIndexerBase: Returns the input and output column names corresponding in pair.
getInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 input_bytes = 5;
getInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 input_bytes = 5;
getInputBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 input_bytes = 5;
getInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 input_bytes = 24;
getInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 input_bytes = 24;
getInputBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 input_bytes = 24;
getInputBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_bytes = 6;
getInputBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double input_bytes = 6;
getInputBytes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double input_bytes = 6;
getInputBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_bytes = 6;
getInputBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double input_bytes = 6;
getInputBytesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double input_bytes = 6;
getInputBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_bytes = 6;
getInputBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double input_bytes = 6;
getInputBytesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double input_bytes = 6;
getInputBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 input_bytes_read = 26;
getInputBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 input_bytes_read = 26;
getInputBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 input_bytes_read = 26;
getInputCol() - Method in interface org.apache.spark.ml.param.shared.HasInputCol
getInputCols() - Method in interface org.apache.spark.ml.param.shared.HasInputCols
getInputFilePath() - Static method in class org.apache.spark.rdd.InputFileBlockHolder: Returns the holding file name or empty string if it is unknown.
getInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
getInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
getInputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
getInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
getInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
getInputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
getInputMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
getInputMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
getInputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
getInputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
getInputMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
getInputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
getInputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
getInputMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
getInputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 input_records = 6;
getInputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 input_records = 6;
getInputRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 input_records = 6;
getInputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 input_records = 25;
getInputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 input_records = 25;
getInputRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 input_records = 25;
getInputRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_records = 7;
getInputRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double input_records = 7;
getInputRecords(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double input_records = 7;
getInputRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_records = 7;
getInputRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double input_records = 7;
getInputRecordsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double input_records = 7;
getInputRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double input_records = 7;
getInputRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double input_records = 7;
getInputRecordsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double input_records = 7;
getInputRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 input_records_read = 27;
getInputRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 input_records_read = 27;
getInputRecordsRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 input_records_read = 27;
getInputRowsPerSecond() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: double input_rows_per_second = 6;
getInputRowsPerSecond() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: double input_rows_per_second = 6;
getInputRowsPerSecond() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: double input_rows_per_second = 6;
getInputStream(String, Configuration) - Static method in class org.apache.spark.streaming.util.HdfsUtils
getInstant(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of date type as java.time.Instant.
getInt(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a primitive int.
getInt(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getInt(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getInt(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getInt(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getInt(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the int type value for rowId.
getInt(String, int) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a parameter as an integer, falling back to a default if not set
getInt(String, int) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap: Returns the integer value to which the specified key is mapped, or defaultValue if there is no mapping for the key.
getIntermediateStorageLevel() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getInterval(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getInterval(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getInterval(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getInterval(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getInterval(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the calendar interval type value for rowId.
getInts(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Gets int type values from [rowId, rowId + count).
getInverse() - Method in class org.apache.spark.ml.feature.DCT
getIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: bool is_active = 3;
getIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: bool is_active = 3;
getIsActive() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: bool is_active = 3;
getIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: bool is_active = 3;
getIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: bool is_active = 3;
getIsActive() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: bool is_active = 3;
getIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: bool is_active = 4;
getIsActive() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: bool is_active = 4;
getIsActive() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: bool is_active = 4;
getIsBlacklisted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: bool is_blacklisted = 18;
getIsBlacklisted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: bool is_blacklisted = 18;
getIsBlacklisted() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: bool is_blacklisted = 18;
getIsBlacklistedForStage() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: bool is_blacklisted_for_stage = 15;
getIsBlacklistedForStage() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: bool is_blacklisted_for_stage = 15;
getIsBlacklistedForStage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: bool is_blacklisted_for_stage = 15;
getIsExcluded() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: bool is_excluded = 30;
getIsExcluded() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: bool is_excluded = 30;
getIsExcluded() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: bool is_excluded = 30;
getIsExcludedForStage() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: bool is_excluded_for_stage = 17;
getIsExcludedForStage() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: bool is_excluded_for_stage = 17;
getIsExcludedForStage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: bool is_excluded_for_stage = 17;
getIsExperiment() - Method in class org.apache.spark.mllib.stat.test.BinarySample
getIsotonic() - Method in interface org.apache.spark.ml.regression.IsotonicRegressionBase
getIsShufflePushEnabled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: bool is_shuffle_push_enabled = 63;
getIsShufflePushEnabled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: bool is_shuffle_push_enabled = 63;
getIsShufflePushEnabled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: bool is_shuffle_push_enabled = 63;
getItem(Object) - Method in class org.apache.spark.sql.Column: An expression that gets an item at position ordinal out of an array, or gets a value by key key in a MapType.
getItemCol() - Method in interface org.apache.spark.ml.recommendation.ALSModelParams
getItemsCol() - Method in interface org.apache.spark.ml.fpm.FPGrowthParams
getIteratorSize(Iterator<Object>) - Static method in class org.apache.spark.util.Utils: Counts the number of elements of an iterator.
getIteratorZipWithIndex(Iterator<T>, long) - Static method in class org.apache.spark.util.Utils: Generate a zipWithIndex iterator, avoid index value overflowing problem in scala's zipWithIndex
getIvyProperties() - Static method in class org.apache.spark.util.DependencyUtils
getJavaHome() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_home = 2;
getJavaHome() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string java_home = 2;
getJavaHome() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string java_home = 2;
getJavaHomeBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_home = 2;
getJavaHomeBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string java_home = 2;
getJavaHomeBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string java_home = 2;
getJavaMap(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of array type as a java.util.Map.
getJavaSparkContext(SparkSession) - Static method in class org.apache.spark.sql.api.r.SQLUtils
getJavaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_version = 1;
getJavaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string java_version = 1;
getJavaVersion() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string java_version = 1;
getJavaVersionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_version = 1;
getJavaVersionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string java_version = 1;
getJavaVersionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string java_version = 1;
getJdbcSQLQueryBuilder(JDBCOptions) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getJdbcSQLQueryBuilder(JDBCOptions) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Returns the SQL builder for the SELECT statement.
getJdbcSQLQueryBuilder(JDBCOptions) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getJdbcSQLQueryBuilder(JDBCOptions) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getJdbcSQLQueryBuilder(JDBCOptions) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getJdbcSQLQueryBuilder(JDBCOptions) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.AggregatedDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.DatabricksDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.DerbyDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Retrieve the jdbc / sql type for a given datatype.
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getJDBCType(DataType) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.SnowflakeDialect
getJDBCType(DataType) - Method in class org.apache.spark.sql.jdbc.TeradataDialect
getJobGroup() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string job_group = 7;
getJobGroup() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string job_group = 7;
getJobGroup() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string job_group = 7;
getJobGroupBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string job_group = 7;
getJobGroupBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string job_group = 7;
getJobGroupBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string job_group = 7;
getJobId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: All IDs are int64 for extendability, even when they are currently int32 in Spark.
getJobId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: All IDs are int64 for extendability, even when they are currently int32 in Spark.
getJobId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: All IDs are int64 for extendability, even when they are currently int32 in Spark.
getJobIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: repeated int64 job_ids = 2;
getJobIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: repeated int64 job_ids = 2;
getJobIds(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: repeated int64 job_ids = 2;
getJobIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: repeated int64 job_ids = 2;
getJobIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: repeated int64 job_ids = 2;
getJobIdsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: repeated int64 job_ids = 2;
getJobIdsForGroup(String) - Method in class org.apache.spark.api.java.JavaSparkStatusTracker: Return a list of all known jobs in a particular job group.
getJobIdsForGroup(String) - Method in class org.apache.spark.SparkStatusTracker: Return a list of all known jobs in a particular job group.
getJobIdsForTag(String) - Method in class org.apache.spark.SparkStatusTracker: Return a list of all known jobs with a particular tag.
getJobIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: repeated int64 job_ids = 2;
getJobIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: repeated int64 job_ids = 2;
getJobIdsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: repeated int64 job_ids = 2;
getJobInfo(int) - Method in class org.apache.spark.api.java.JavaSparkStatusTracker: Returns job information, or null if the job info could not be found or was garbage collected.
getJobInfo(int) - Method in class org.apache.spark.SparkStatusTracker: Returns job information, or None if the job info could not be found or was garbage collected.
getJobs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getJobs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: Deprecated.
getJobs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: Deprecated.
getJobsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
getJobsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getJobsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsOrDefault(long, StoreTypes.JobExecutionStatus) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsOrDefault(long, StoreTypes.JobExecutionStatus) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsOrDefault(long, StoreTypes.JobExecutionStatus) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsOrThrow(long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getJobsValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: Deprecated.
getJobsValue() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: Deprecated.
getJobsValueMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueOrDefault(long, int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueOrDefault(long, int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueOrDefault(long, int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobsValueOrThrow(long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.JobExecutionStatus> jobs = 11;
getJobTags() - Method in class org.apache.spark.api.java.JavaSparkContext: Get the tags that are currently set to be assigned to all the jobs started by this thread.
getJobTags() - Method in class org.apache.spark.SparkContext: Get the tags that are currently set to be assigned to all the jobs started by this thread.
getJobTags(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
getJobTags(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: repeated string job_tags = 21;
getJobTags(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: repeated string job_tags = 21;
getJobTags(JavaSparkContext) - Static method in class org.apache.spark.api.r.RUtils
getJobTagsBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
getJobTagsBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: repeated string job_tags = 21;
getJobTagsBytes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: repeated string job_tags = 21;
getJobTagsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
getJobTagsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: repeated string job_tags = 21;
getJobTagsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: repeated string job_tags = 21;
getJobTagsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated string job_tags = 21;
getJobTagsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: repeated string job_tags = 21;
getJobTagsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: repeated string job_tags = 21;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double jvm_gc_time = 11;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double jvm_gc_time = 11;
getJvmGcTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double jvm_gc_time = 11;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 jvm_gc_time = 19;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 jvm_gc_time = 19;
getJvmGcTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 jvm_gc_time = 19;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 jvm_gc_time = 21;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 jvm_gc_time = 21;
getJvmGcTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 jvm_gc_time = 21;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 jvm_gc_time = 6;
getJvmGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 jvm_gc_time = 6;
getJvmGcTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 jvm_gc_time = 6;
getJvmGcTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double jvm_gc_time = 8;
getJvmGcTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double jvm_gc_time = 8;
getJvmGcTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double jvm_gc_time = 8;
getJvmGcTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double jvm_gc_time = 8;
getJvmGcTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double jvm_gc_time = 8;
getJvmGcTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double jvm_gc_time = 8;
getJvmGcTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double jvm_gc_time = 8;
getJvmGcTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double jvm_gc_time = 8;
getJvmGcTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double jvm_gc_time = 8;
getK() - Method in interface org.apache.spark.ml.clustering.BisectingKMeansParams
getK() - Method in interface org.apache.spark.ml.clustering.GaussianMixtureParams
getK() - Method in interface org.apache.spark.ml.clustering.KMeansParams
getK() - Method in interface org.apache.spark.ml.clustering.LDAParams
getK() - Method in interface org.apache.spark.ml.clustering.PowerIterationClusteringParams
getK() - Method in class org.apache.spark.ml.evaluation.RankingEvaluator
getK() - Method in interface org.apache.spark.ml.feature.PCAParams
getK() - Method in class org.apache.spark.mllib.clustering.BisectingKMeans: Gets the desired number of leaf clusters.
getK() - Method in class org.apache.spark.mllib.clustering.GaussianMixture: Return the number of Gaussians in the mixture model
getK() - Method in class org.apache.spark.mllib.clustering.KMeans: Number of clusters to create (k).
getK() - Method in class org.apache.spark.mllib.clustering.LDA: Number of topics to infer, i.e., the number of soft cluster centers.
getKappa() - Method in class org.apache.spark.mllib.clustering.OnlineLDAOptimizer: Learning rate: exponential decay rate
getKeepLastCheckpoint() - Method in interface org.apache.spark.ml.clustering.LDAParams
getKeepLastCheckpoint() - Method in class org.apache.spark.mllib.clustering.EMLDAOptimizer: If using checkpointing, this indicates whether to keep the last checkpoint (vs clean up).
getKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int32 killed_tasks = 4;
getKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int32 killed_tasks = 4;
getKilledTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int32 killed_tasks = 4;
getKilledTasks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double killed_tasks = 5;
getKilledTasks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double killed_tasks = 5;
getKilledTasks(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double killed_tasks = 5;
getKilledTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double killed_tasks = 5;
getKilledTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double killed_tasks = 5;
getKilledTasksCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double killed_tasks = 5;
getKilledTasksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double killed_tasks = 5;
getKilledTasksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double killed_tasks = 5;
getKilledTasksList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double killed_tasks = 5;
getKilledTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: Deprecated.
getKilledTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: Deprecated.
getKilledTasksSummary() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: Deprecated.
getKilledTasksSummaryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
getKilledTasksSummaryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getKilledTasksSummaryCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryOrDefault(String, int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryOrDefault(String, int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryOrDefault(String, int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<string, int32> killed_tasks_summary = 48;
getKilledTasksSummaryOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<string, int32> killed_tasks_summary = 48;
getKillTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: Deprecated.
getKillTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: Deprecated.
getKillTasksSummary() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: Deprecated.
getKillTasksSummaryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
getKillTasksSummaryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData
getKillTasksSummaryCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryOrDefault(String, int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryOrDefault(String, int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryOrDefault(String, int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: map<string, int32> kill_tasks_summary = 20;
getKillTasksSummaryOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: map<string, int32> kill_tasks_summary = 20;
getKrb5LoginModuleName() - Static method in class org.apache.spark.util.SecurityUtils: Krb5LoginModule package varies in different JVMs.
getLabel() - Method in class org.apache.spark.ml.feature.LabeledPoint
getLabel() - Method in class org.apache.spark.mllib.regression.LabeledPoint
getLabelCol() - Method in interface org.apache.spark.ml.param.shared.HasLabelCol
getLabels() - Method in class org.apache.spark.ml.feature.IndexToString
getLabelType() - Method in interface org.apache.spark.ml.feature.UnivariateFeatureSelectorParams
getLambda() - Method in class org.apache.spark.mllib.classification.NaiveBayes: Get the smoothing parameter.
getLastUpdated() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 last_updated = 4;
getLastUpdated() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: int64 last_updated = 4;
getLastUpdated() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: int64 last_updated = 4;
getLastUpdatedEpoch() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
getLatestOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string latest_offset = 4;
getLatestOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string latest_offset = 4;
getLatestOffset() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string latest_offset = 4;
getLatestOffsetBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string latest_offset = 4;
getLatestOffsetBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string latest_offset = 4;
getLatestOffsetBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string latest_offset = 4;
getLaunchTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 launch_time = 5;
getLaunchTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: int64 launch_time = 5;
getLaunchTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: int64 launch_time = 5;
getLaunchTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 launch_time = 5;
getLaunchTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 launch_time = 5;
getLaunchTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 launch_time = 5;
getLayers() - Method in interface org.apache.spark.ml.classification.MultilayerPerceptronParams
getLDAModel(double[]) - Method in interface org.apache.spark.mllib.clustering.LDAOptimizer
getLeafCol() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getLeafField(String) - Method in interface org.apache.spark.ml.tree.DecisionTreeModel
getLeafField(String) - Method in interface org.apache.spark.ml.tree.TreeEnsembleModel
getLearningDecay() - Method in interface org.apache.spark.ml.clustering.LDAParams
getLearningOffset() - Method in interface org.apache.spark.ml.clustering.LDAParams
getLearningRate() - Method in class org.apache.spark.mllib.tree.configuration.BoostingStrategy
getLeastGroupHash(String) - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer: Gets the least element of the list associated with key in groupHash The returned PartitionGroup is the least loaded of all groups that represent the machine "key"
getLeft() - Method in record class org.apache.spark.util.Pair: Returns the value of the getLeft record component.
getLength() - Static method in class org.apache.spark.rdd.InputFileBlockHolder: Returns the length of the block being read, or -1 if it is unknown.
getLimitClause(Integer) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getLimitClause(Integer) - Method in class org.apache.spark.sql.jdbc.DerbyDialect
getLimitClause(Integer) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Returns the LIMIT clause for the SELECT statement
getLimitClause(Integer) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getLimitClause(Integer) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getLimitClause(Integer) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getLimitClause(Integer) - Method in class org.apache.spark.sql.jdbc.TeradataDialect
getLink() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase
getLinkPower() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase
getLinkPredictionCol() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase
getList(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of array type as java.util.List.
getListState(String, Encoder<T>, TTLConfig) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: Function to create new or return existing list state variable of given type with ttl.
getListState(String, TTLConfig, Encoder<T>) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: (Scala-specific) Function to create new or return existing list state variable of given type with ttl.
getLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 local_blocks_fetched = 2;
getLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 local_blocks_fetched = 2;
getLocalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 local_blocks_fetched = 2;
getLocalBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double local_blocks_fetched = 4;
getLocalBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double local_blocks_fetched = 4;
getLocalBlocksFetched(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double local_blocks_fetched = 4;
getLocalBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double local_blocks_fetched = 4;
getLocalBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double local_blocks_fetched = 4;
getLocalBlocksFetchedCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double local_blocks_fetched = 4;
getLocalBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double local_blocks_fetched = 4;
getLocalBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double local_blocks_fetched = 4;
getLocalBlocksFetchedList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double local_blocks_fetched = 4;
getLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 local_bytes_read = 6;
getLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 local_bytes_read = 6;
getLocalBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 local_bytes_read = 6;
getLocalDate(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of date type as java.time.LocalDate.
getLocalDir(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Get the path of a temporary directory.
getLocale() - Method in class org.apache.spark.ml.feature.StopWordsRemover
getLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: Deprecated.
getLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: Deprecated.
getLocality() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: Deprecated.
getLocalityCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
getLocalityCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
getLocalityCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: map<string, int64> locality = 3;
getLocalityMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: map<string, int64> locality = 3;
getLocalityMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: map<string, int64> locality = 3;
getLocalityMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: map<string, int64> locality = 3;
getLocalityOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: map<string, int64> locality = 3;
getLocalityOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: map<string, int64> locality = 3;
getLocalityOrDefault(String, long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: map<string, int64> locality = 3;
getLocalityOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: map<string, int64> locality = 3;
getLocalityOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: map<string, int64> locality = 3;
getLocalityOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: map<string, int64> locality = 3;
getLocalMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetched(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetchedCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBlocksFetchedList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_blocks_fetched = 4;
getLocalMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 local_merged_bytes_read = 8;
getLocalMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 local_merged_bytes_read = 8;
getLocalMergedBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 local_merged_bytes_read = 8;
getLocalMergedBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesRead(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesReadCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_bytes_read = 8;
getLocalMergedBytesReadList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_bytes_read = 8;
getLocalMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 local_merged_chunks_fetched = 6;
getLocalMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 local_merged_chunks_fetched = 6;
getLocalMergedChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 local_merged_chunks_fetched = 6;
getLocalMergedChunksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetched(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetchedCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double local_merged_chunks_fetched = 6;
getLocalMergedChunksFetchedList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double local_merged_chunks_fetched = 6;
getLocalProperty(String) - Method in class org.apache.spark.api.java.JavaSparkContext: Get a local property set in this thread, or null if it is missing.
getLocalProperty(String) - Method in class org.apache.spark.BarrierTaskContext
getLocalProperty(String) - Method in class org.apache.spark.SparkContext: Get a local property set in this thread, or null if it is missing.
getLocalProperty(String) - Method in class org.apache.spark.TaskContext: Get a local property set upstream in the driver, or null if it is missing.
getLocalUserJarsForShell(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Return the local jar files which will be added to REPL's classpath.
GetLocations(BlockId) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetLocations
GetLocations$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetLocations$
GetLocationsAndStatus(BlockId, String) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetLocationsAndStatus
GetLocationsAndStatus$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetLocationsAndStatus$
GetLocationsMultipleBlockIds(BlockId[]) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetLocationsMultipleBlockIds
GetLocationsMultipleBlockIds$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetLocationsMultipleBlockIds$
getLogLevel() - Static method in class org.apache.spark.util.Utils: Get current log level
getLong(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a primitive long.
getLong(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getLong(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getLong(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getLong(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getLong(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the long type value for rowId.
getLong(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Long.
getLong(String, long) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a parameter as a long, falling back to a default if not set
getLong(String, long) - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap: Returns the long value to which the specified key is mapped, or defaultValue if there is no mapping for the key.
getLongArray(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Long array.
getLongs(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Gets long type values from [rowId, rowId + count).
getLoss() - Method in interface org.apache.spark.ml.param.shared.HasLoss
getLoss() - Method in class org.apache.spark.mllib.tree.configuration.BoostingStrategy
getLossType() - Method in interface org.apache.spark.ml.tree.GBTClassifierParams
getLossType() - Method in interface org.apache.spark.ml.tree.GBTRegressorParams
getLower() - Method in interface org.apache.spark.ml.feature.RobustScalerParams
getLowerBound(double) - Static method in class org.apache.spark.util.random.PoissonBounds: Returns a lambda such that Pr[X > s] is very small, where X ~ Pois(lambda).
getLowerBound(double, long, double) - Static method in class org.apache.spark.util.random.BinomialBounds: Returns a threshold p such that if we conduct n Bernoulli trials with success rate = p, it is very unlikely to have more than fraction * n successes.
getLowerBoundsOnCoefficients() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams
getLowerBoundsOnIntercepts() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams
getMap(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of map type as a Scala Map.
getMap(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getMap(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getMap(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getMap(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getMap(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the map type value for rowId.
getMapOutputMetadata() - Method in class org.apache.spark.shuffle.api.metadata.MapOutputCommitMessage
getMapState(String, Encoder<K>, Encoder<V>, TTLConfig) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: Function to create new or return existing map state variable of given type with ttl.
getMapState(String, TTLConfig, Encoder<K>, Encoder<V>) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: (Scala-specific) Function to create new or return existing map state variable of given type with ttl.
getMapStatus(long) - Method in class org.apache.spark.ShuffleStatus: Get the map output that corresponding to a given mapId.
GetMatchingBlockIds(Function1<BlockId, Object>, boolean) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetMatchingBlockIds
GetMatchingBlockIds$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetMatchingBlockIds$
getMax() - Method in interface org.apache.spark.ml.feature.MinMaxScalerParams
getMaxBins() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getMaxBins() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getMaxBlockSizeInMB() - Method in interface org.apache.spark.ml.param.shared.HasMaxBlockSizeInMB
getMaxCategories() - Method in interface org.apache.spark.ml.feature.VectorIndexerParams
getMaxCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 max_cores = 4;
getMaxCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 max_cores = 4;
getMaxCores() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 max_cores = 4;
getMaxDepth() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getMaxDepth() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getMaxDF() - Method in interface org.apache.spark.ml.feature.CountVectorizerParams
getMaxFailures(SparkConf, boolean) - Static method in class org.apache.spark.streaming.util.WriteAheadLogUtils
getMaxIter() - Method in interface org.apache.spark.ml.param.shared.HasMaxIter
getMaxIterations() - Method in class org.apache.spark.mllib.clustering.BisectingKMeans: Gets the max number of k-means iterations to split clusters.
getMaxIterations() - Method in class org.apache.spark.mllib.clustering.GaussianMixture: Return the maximum number of iterations allowed
getMaxIterations() - Method in class org.apache.spark.mllib.clustering.KMeans: Maximum number of iterations allowed.
getMaxIterations() - Method in class org.apache.spark.mllib.clustering.LDA: Maximum number of iterations allowed.
getMaxLocalProjDBSize() - Method in interface org.apache.spark.ml.fpm.PrefixSpanParams
getMaxLocalProjDBSize() - Method in class org.apache.spark.mllib.fpm.PrefixSpan: Gets the maximum number of items allowed in a projected database before local processing.
getMaxMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 max_memory = 19;
getMaxMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 max_memory = 19;
getMaxMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 max_memory = 19;
getMaxMemoryInMB() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getMaxMemoryInMB() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getMaxPatternLength() - Method in interface org.apache.spark.ml.fpm.PrefixSpanParams
getMaxPatternLength() - Method in class org.apache.spark.mllib.fpm.PrefixSpan: Gets the maximal pattern length (i.e.
getMaxSentenceLength() - Method in interface org.apache.spark.ml.feature.Word2VecBase
getMaxTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 max_tasks = 8;
getMaxTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 max_tasks = 8;
getMaxTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 max_tasks = 8;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double memory_bytes_spilled = 16;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double memory_bytes_spilled = 16;
getMemoryBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double memory_bytes_spilled = 16;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 memory_bytes_spilled = 13;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 memory_bytes_spilled = 13;
getMemoryBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 memory_bytes_spilled = 13;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 memory_bytes_spilled = 21;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 memory_bytes_spilled = 21;
getMemoryBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 memory_bytes_spilled = 21;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 memory_bytes_spilled = 23;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 memory_bytes_spilled = 23;
getMemoryBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 memory_bytes_spilled = 23;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 memory_bytes_spilled = 8;
getMemoryBytesSpilled() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 memory_bytes_spilled = 8;
getMemoryBytesSpilled() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 memory_bytes_spilled = 8;
getMemoryBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilled(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilled(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilled(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilledCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilledCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilledCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilledList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double memory_bytes_spilled = 14;
getMemoryBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilledList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double memory_bytes_spilled = 13;
getMemoryBytesSpilledList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double memory_bytes_spilled = 13;
getMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
getMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
getMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
getMemoryMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
getMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
getMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
getMemoryMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
getMemoryPerExecutorMb() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 memory_per_executor_mb = 6;
getMemoryPerExecutorMb() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 memory_per_executor_mb = 6;
getMemoryPerExecutorMb() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 memory_per_executor_mb = 6;
getMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: int64 memory_remaining = 3;
getMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: int64 memory_remaining = 3;
getMemoryRemaining() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: int64 memory_remaining = 3;
GetMemoryStatus$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetMemoryStatus$
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 memory_used = 5;
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 memory_used = 5;
getMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 memory_used = 5;
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: int64 memory_used = 2;
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: int64 memory_used = 2;
getMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: int64 memory_used = 2;
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: int64 memory_used = 3;
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: int64 memory_used = 3;
getMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: int64 memory_used = 3;
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int64 memory_used = 6;
getMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: int64 memory_used = 6;
getMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: int64 memory_used = 6;
getMemoryUsedBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 memory_used_bytes = 8;
getMemoryUsedBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 memory_used_bytes = 8;
getMemoryUsedBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 memory_used_bytes = 8;
getMemSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: int64 mem_size = 8;
getMemSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: int64 mem_size = 8;
getMemSize() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: int64 mem_size = 8;
getMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 merged_fetch_fallback_count = 2;
getMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 merged_fetch_fallback_count = 2;
getMergedFetchFallbackCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 merged_fetch_fallback_count = 2;
getMergedFetchFallbackCount(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCount(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCount(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCountCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCountCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCountCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCountList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCountList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double merged_fetch_fallback_count = 2;
getMergedFetchFallbackCountList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double merged_fetch_fallback_count = 2;
getMergerLocs() - Method in class org.apache.spark.ShuffleDependency
getMessage() - Method in exception org.apache.spark.sql.AnalysisException
getMessage() - Method in exception org.apache.spark.sql.streaming.StreamingQueryException
getMessage(String, String, String, Map<String, String>) - Static method in class org.apache.spark.SparkThrowableHelper
getMessage(String, Map<String, String>) - Static method in class org.apache.spark.SparkThrowableHelper
getMessage(String, Map<String, String>) - Static method in class org.apache.spark.SparkThrowableHelper
getMessage(String, Map<String, String>, String) - Static method in class org.apache.spark.SparkThrowableHelper
getMessage(SparkThrowable, Enumeration.Value) - Static method in class org.apache.spark.SparkThrowableHelper
getMessageParameters() - Method in exception org.apache.spark.SparkException
getMessageParameters() - Method in interface org.apache.spark.SparkThrowable
getMessageParameters() - Method in exception org.apache.spark.sql.AnalysisException
getMessageParameters() - Method in exception org.apache.spark.sql.streaming.StreamingQueryException
getMessageParameters(String) - Method in class org.apache.spark.ErrorClassesJsonReader
getMessageParameters(String) - Static method in class org.apache.spark.SparkThrowableHelper
getMessageParametersFromTemplate(String) - Method in class org.apache.spark.ErrorClassesJsonReader
getMessageTemplate(String) - Method in class org.apache.spark.ErrorClassesJsonReader
getMessageTemplate(String) - Static method in class org.apache.spark.SparkThrowableHelper
getMetadata(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Metadata.
getMetadataArray(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a Metadata array.
getMetadataOutput(SparkSession, Map<String, String>, Option<StructType>) - Method in interface org.apache.spark.sql.sources.SupportsStreamSourceMetadataColumns: Returns the metadata columns that should be added to the schema of the Stream Source.
getMetricDistribution(String) - Method in class org.apache.spark.status.api.v1.ExecutorPeakMetricsDistributions: Returns the distributions for the specified metric.
getMetricLabel() - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
getMetricLabel() - Method in class org.apache.spark.ml.evaluation.MultilabelClassificationEvaluator
getMetricName() - Method in class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
getMetricName() - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator
getMetricName() - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
getMetricName() - Method in class org.apache.spark.ml.evaluation.MultilabelClassificationEvaluator
getMetricName() - Method in class org.apache.spark.ml.evaluation.RankingEvaluator
getMetricName() - Method in class org.apache.spark.ml.evaluation.RegressionEvaluator
getMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder: Deprecated.
getMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics: Deprecated.
getMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsOrBuilder: Deprecated.
getMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: Deprecated.
getMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: Deprecated.
getMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: Deprecated.
getMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: Deprecated.
getMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: Deprecated.
getMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: Deprecated.
getMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetrics(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetrics(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetrics(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetrics(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetrics(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator: Get a BinaryClassificationMetrics, which can be used to get binary classification metrics such as areaUnderROC and areaUnderPR.
getMetrics(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator: Get a ClusteringMetrics, which can be used to get clustering metrics such as silhouette score.
getMetrics(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator: Get a MulticlassMetrics, which can be used to get multiclass classification metrics such as accuracy, weightedPrecision, etc.
getMetrics(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.MultilabelClassificationEvaluator: Get a MultilabelMetrics, which can be used to get multilabel classification metrics such as accuracy, precision, precisionByLabel, etc.
getMetrics(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.RankingEvaluator: Get a RankingMetrics, which can be used to get ranking metrics such as meanAveragePrecision, meanAveragePrecisionAtK, etc.
getMetrics(Dataset<?>) - Method in class org.apache.spark.ml.evaluation.RegressionEvaluator: Get a RegressionMetrics, which can be used to get regression metrics such as rootMeanSquaredError, meanSquaredError, etc.
getMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
getMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsOrBuilder: map<string, int64> metrics = 1;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
getMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: map<string, string> metrics = 3;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
getMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: map<string, string> metrics = 8;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder: map<string, int64> metrics = 1;
getMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics: map<string, int64> metrics = 1;
getMetricsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsOrBuilder: map<string, int64> metrics = 1;
getMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: map<string, string> metrics = 3;
getMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: map<string, string> metrics = 3;
getMetricsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: map<string, string> metrics = 3;
getMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: map<string, string> metrics = 8;
getMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: map<string, string> metrics = 8;
getMetricsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: map<string, string> metrics = 8;
getMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 5;
getMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 4;
getMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated .org.apache.spark.status.protobuf.SQLPlanMetric metrics = 7;
getMetricsOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder: map<string, int64> metrics = 1;
getMetricsOrDefault(String, long) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics: map<string, int64> metrics = 1;
getMetricsOrDefault(String, long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsOrBuilder: map<string, int64> metrics = 1;
getMetricsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: map<string, string> metrics = 3;
getMetricsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: map<string, string> metrics = 3;
getMetricsOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: map<string, string> metrics = 3;
getMetricsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: map<string, string> metrics = 8;
getMetricsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: map<string, string> metrics = 8;
getMetricsOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: map<string, string> metrics = 8;
getMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder: map<string, int64> metrics = 1;
getMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics: map<string, int64> metrics = 1;
getMetricsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsOrBuilder: map<string, int64> metrics = 1;
getMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: map<string, string> metrics = 3;
getMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: map<string, string> metrics = 3;
getMetricsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: map<string, string> metrics = 3;
getMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: map<string, string> metrics = 8;
getMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: map<string, string> metrics = 8;
getMetricsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: map<string, string> metrics = 8;
getMetricsProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsProperties(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsPropertiesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings metrics_properties = 5;
getMetricsSources(String) - Method in class org.apache.spark.BarrierTaskContext
getMetricsSources(String) - Method in class org.apache.spark.TaskContext: ::DeveloperApi:: Returns all metrics sources with the given name which are associated with the instance which runs the task.
getMetricType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string metric_type = 3;
getMetricType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric: optional string metric_type = 3;
getMetricType() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetricOrBuilder: optional string metric_type = 3;
getMetricTypeBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string metric_type = 3;
getMetricTypeBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric: optional string metric_type = 3;
getMetricTypeBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetricOrBuilder: optional string metric_type = 3;
getMetricValue(MemoryManager) - Method in interface org.apache.spark.metrics.SingleValueExecutorMetricType
getMetricValues() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getMetricValues() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: Deprecated.
getMetricValues() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: Deprecated.
getMetricValues(MemoryManager) - Method in interface org.apache.spark.metrics.ExecutorMetricType
getMetricValues(MemoryManager) - Method in interface org.apache.spark.metrics.SingleValueExecutorMetricType
getMetricValuesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
getMetricValuesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getMetricValuesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, string> metric_values = 14;
getMetricValuesIsNull() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: bool metric_values_is_null = 13;
getMetricValuesIsNull() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: bool metric_values_is_null = 13;
getMetricValuesIsNull() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: bool metric_values_is_null = 13;
getMetricValuesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, string> metric_values = 14;
getMetricValuesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, string> metric_values = 14;
getMetricValuesMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, string> metric_values = 14;
getMetricValuesOrDefault(long, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, string> metric_values = 14;
getMetricValuesOrDefault(long, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, string> metric_values = 14;
getMetricValuesOrDefault(long, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, string> metric_values = 14;
getMetricValuesOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<int64, string> metric_values = 14;
getMetricValuesOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<int64, string> metric_values = 14;
getMetricValuesOrThrow(long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<int64, string> metric_values = 14;
getMin() - Method in interface org.apache.spark.ml.feature.MinMaxScalerParams
getMinConfidence() - Method in interface org.apache.spark.ml.fpm.FPGrowthParams
getMinCount() - Method in interface org.apache.spark.ml.feature.Word2VecBase
getMinDF() - Method in interface org.apache.spark.ml.feature.CountVectorizerParams
getMinDivisibleClusterSize() - Method in interface org.apache.spark.ml.clustering.BisectingKMeansParams
getMinDivisibleClusterSize() - Method in class org.apache.spark.mllib.clustering.BisectingKMeans: Gets the minimum number of points (if greater than or equal to 1.0) or the minimum proportion of points (if less than 1.0) of a divisible cluster.
getMinDocFreq() - Method in interface org.apache.spark.ml.feature.IDFBase
getMiniBatchFraction() - Method in interface org.apache.spark.ml.regression.FactorizationMachinesParams
getMiniBatchFraction() - Method in class org.apache.spark.mllib.clustering.OnlineLDAOptimizer: Mini-batch fraction, which sets the fraction of document sampled and used in each iteration
getMinInfoGain() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getMinInfoGain() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getMinInstancesPerNode() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getMinInstancesPerNode() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getMinSupport() - Method in interface org.apache.spark.ml.fpm.FPGrowthParams
getMinSupport() - Method in interface org.apache.spark.ml.fpm.PrefixSpanParams
getMinSupport() - Method in class org.apache.spark.mllib.fpm.PrefixSpan: Get the minimal support (i.e.
getMinTF() - Method in interface org.apache.spark.ml.feature.CountVectorizerParams
getMinTokenLength() - Method in class org.apache.spark.ml.feature.RegexTokenizer
getMinWeightFractionPerNode() - Method in interface org.apache.spark.ml.tree.DecisionTreeParams
getMinWeightFractionPerNode() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getMissingValue() - Method in interface org.apache.spark.ml.feature.ImputerParams
getMode(Row) - Static method in class org.apache.spark.ml.image.ImageSchema: Gets the OpenCV representation as an int
getModelType() - Method in interface org.apache.spark.ml.classification.NaiveBayesParams
getModelType() - Method in class org.apache.spark.mllib.classification.NaiveBayes: Get the model type.
getModifiedConfigs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getModifiedConfigs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: Deprecated.
getModifiedConfigs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: Deprecated.
getModifiedConfigsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
getModifiedConfigsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getModifiedConfigsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<string, string> modified_configs = 6;
getModifiedConfigsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<string, string> modified_configs = 6;
getModifiedConfigsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<string, string> modified_configs = 6;
getModifiedConfigsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<string, string> modified_configs = 6;
getModifiedConfigsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<string, string> modified_configs = 6;
getModifiedConfigsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<string, string> modified_configs = 6;
getModifiedConfigsOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<string, string> modified_configs = 6;
getModifiedConfigsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: map<string, string> modified_configs = 6;
getModifiedConfigsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: map<string, string> modified_configs = 6;
getModifiedConfigsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: map<string, string> modified_configs = 6;
getMutableAttributes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: Deprecated.
getMutableCustomMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: Deprecated.
getMutableDurationMs() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: Deprecated.
getMutableEventTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: Deprecated.
getMutableExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: Deprecated.
getMutableExecutorLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: Deprecated.
getMutableExecutorResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: Deprecated.
getMutableExecutorSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: Deprecated.
getMutableJobs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getMutableJobsValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getMutableKilledTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: Deprecated.
getMutableKillTasksSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: Deprecated.
getMutableLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: Deprecated.
getMutableMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder: Deprecated.
getMutableMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: Deprecated.
getMutableMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: Deprecated.
getMutableMetricValues() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getMutableModifiedConfigs() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: Deprecated.
getMutableObservedMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: Deprecated.
getMutableProcessLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: Deprecated.
getMutableResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: Deprecated.
getMutableTaskResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: Deprecated.
getMutableTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: Deprecated.
getN() - Method in class org.apache.spark.ml.feature.NGram
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData: optional string name = 1;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PoolDataOrBuilder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation: optional string name = 1;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceInformationOrBuilder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: optional string name = 2;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: optional string name = 2;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric: optional string name = 1;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetricOrBuilder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string name = 39;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string name = 39;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string name = 39;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string name = 1;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string name = 1;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string name = 1;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string name = 3;
getName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string name = 3;
getName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string name = 3;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData: optional string name = 1;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PoolDataOrBuilder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation: optional string name = 1;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceInformationOrBuilder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: optional string name = 2;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: optional string name = 2;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric: optional string name = 1;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetricOrBuilder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string name = 39;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string name = 39;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string name = 39;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string name = 1;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string name = 1;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string name = 1;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string name = 3;
getNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string name = 3;
getNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string name = 3;
getNames() - Method in class org.apache.spark.ml.feature.VectorSlicer
getNChannels(Row) - Static method in class org.apache.spark.ml.image.ImageSchema: Gets the number of channels in the image
getNode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
getNode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
getNode() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapperOrBuilder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
getNode(int, Node) - Static method in class org.apache.spark.mllib.tree.model.Node: Traces down from a root node to get the node with the given node index.
getNodeBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
getNodeOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
getNodeOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
getNodeOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapperOrBuilder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
getNodes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 4;
getNodesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNodesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.SparkPlanGraphNodeWrapper nodes = 2;
getNonnegative() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getNumActiveStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_active_stages = 16;
getNumActiveStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_active_stages = 16;
getNumActiveStages() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_active_stages = 16;
getNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_active_tasks = 10;
getNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_active_tasks = 10;
getNumActiveTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_active_tasks = 10;
getNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_active_tasks = 2;
getNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary: int32 num_active_tasks = 2;
getNumActiveTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryOrBuilder: int32 num_active_tasks = 2;
getNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_active_tasks = 5;
getNumActiveTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 num_active_tasks = 5;
getNumActiveTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 num_active_tasks = 5;
getNumber() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel
getNumber() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.JobExecutionStatus
getNumber() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.WrapperCase
getNumber() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.StageStatus
getNumBins() - Method in class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
getNumBins() - Method in class org.apache.spark.sql.util.NumericHistogram: Returns the number of bins.
getNumBuckets() - Method in interface org.apache.spark.ml.feature.QuantileDiscretizerBase
getNumBucketsArray() - Method in interface org.apache.spark.ml.feature.QuantileDiscretizerBase
getNumBytesWritten() - Method in interface org.apache.spark.shuffle.api.ShufflePartitionWriter: Returns the number of bytes written either by this writer's output stream opened by ShufflePartitionWriter.openStream() or the byte channel opened by ShufflePartitionWriter.openChannelWrapper().
getNumCachedPartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int32 num_cached_partitions = 4;
getNumCachedPartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: int32 num_cached_partitions = 4;
getNumCachedPartitions() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: int32 num_cached_partitions = 4;
getNumClasses() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getNumClasses(StructField) - Static method in class org.apache.spark.ml.util.MetadataUtils: Examine a schema to identify the number of classes in a label column.
getNumCompletedIndices() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_completed_indices = 15;
getNumCompletedIndices() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_completed_indices = 15;
getNumCompletedIndices() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_completed_indices = 15;
getNumCompletedIndices() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_completed_indices = 9;
getNumCompletedIndices() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 num_completed_indices = 9;
getNumCompletedIndices() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 num_completed_indices = 9;
getNumCompletedJobs() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder: int32 num_completed_jobs = 1;
getNumCompletedJobs() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary: int32 num_completed_jobs = 1;
getNumCompletedJobs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AppSummaryOrBuilder: int32 num_completed_jobs = 1;
getNumCompletedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder: int32 num_completed_stages = 2;
getNumCompletedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary: int32 num_completed_stages = 2;
getNumCompletedStages() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AppSummaryOrBuilder: int32 num_completed_stages = 2;
getNumCompletedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_completed_stages = 17;
getNumCompletedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_completed_stages = 17;
getNumCompletedStages() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_completed_stages = 17;
getNumCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_completed_tasks = 11;
getNumCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_completed_tasks = 11;
getNumCompletedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_completed_tasks = 11;
getNumCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_completed_tasks = 3;
getNumCompletedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary: int32 num_completed_tasks = 3;
getNumCompletedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryOrBuilder: int32 num_completed_tasks = 3;
getNumCompleteTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_complete_tasks = 6;
getNumCompleteTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 num_complete_tasks = 6;
getNumCompleteTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 num_complete_tasks = 6;
getNumFailedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_failed_stages = 19;
getNumFailedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_failed_stages = 19;
getNumFailedStages() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_failed_stages = 19;
getNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_failed_tasks = 13;
getNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_failed_tasks = 13;
getNumFailedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_failed_tasks = 13;
getNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_failed_tasks = 4;
getNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary: int32 num_failed_tasks = 4;
getNumFailedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryOrBuilder: int32 num_failed_tasks = 4;
getNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_failed_tasks = 7;
getNumFailedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 num_failed_tasks = 7;
getNumFailedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 num_failed_tasks = 7;
getNumFeatures() - Method in interface org.apache.spark.ml.param.shared.HasNumFeatures
getNumFeatures() - Method in class org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm: The dimension of training features.
getNumFeatures(StructField) - Static method in class org.apache.spark.ml.util.MetadataUtils: Examine a schema to identify the number of features in a vector column.
getNumFolds() - Method in interface org.apache.spark.ml.tuning.CrossValidatorParams
getNumHashTables() - Method in interface org.apache.spark.ml.feature.LSHParams
getNumInputRows() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: int64 num_input_rows = 5;
getNumInputRows() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: int64 num_input_rows = 5;
getNumInputRows() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: int64 num_input_rows = 5;
getNumItemBlocks() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getNumIterations() - Method in class org.apache.spark.mllib.tree.configuration.BoostingStrategy
getNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_killed_tasks = 14;
getNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_killed_tasks = 14;
getNumKilledTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_killed_tasks = 14;
getNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_killed_tasks = 5;
getNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary: int32 num_killed_tasks = 5;
getNumKilledTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryOrBuilder: int32 num_killed_tasks = 5;
getNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_killed_tasks = 8;
getNumKilledTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 num_killed_tasks = 8;
getNumKilledTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 num_killed_tasks = 8;
getNumObjFields() - Method in class org.apache.spark.serializer.SerializationDebugger.ObjectStreamClassMethods
getNumOutputRows() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: int64 num_output_rows = 2;
getNumOutputRows() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: int64 num_output_rows = 2;
getNumOutputRows() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: int64 num_output_rows = 2;
getNumPartitions() - Method in interface org.apache.spark.api.java.JavaRDDLike: Return the number of partitions in this RDD.
getNumPartitions() - Method in interface org.apache.spark.ml.feature.Word2VecBase
getNumPartitions() - Method in interface org.apache.spark.ml.fpm.FPGrowthParams
getNumPartitions() - Method in class org.apache.spark.rdd.RDD: Returns the number of partitions of this RDD.
getNumPartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: int32 num_partitions = 3;
getNumPartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: int32 num_partitions = 3;
getNumPartitions() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: int32 num_partitions = 3;
getNumRowsDroppedByWatermark() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_dropped_by_watermark = 9;
getNumRowsDroppedByWatermark() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 num_rows_dropped_by_watermark = 9;
getNumRowsDroppedByWatermark() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 num_rows_dropped_by_watermark = 9;
getNumRowsRemoved() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_removed = 5;
getNumRowsRemoved() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 num_rows_removed = 5;
getNumRowsRemoved() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 num_rows_removed = 5;
getNumRowsTotal() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_total = 2;
getNumRowsTotal() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 num_rows_total = 2;
getNumRowsTotal() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 num_rows_total = 2;
getNumRowsUpdated() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_rows_updated = 3;
getNumRowsUpdated() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 num_rows_updated = 3;
getNumRowsUpdated() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 num_rows_updated = 3;
getNumShufflePartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_shuffle_partitions = 10;
getNumShufflePartitions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 num_shuffle_partitions = 10;
getNumShufflePartitions() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 num_shuffle_partitions = 10;
getNumSkippedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_skipped_stages = 18;
getNumSkippedStages() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_skipped_stages = 18;
getNumSkippedStages() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_skipped_stages = 18;
getNumSkippedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_skipped_tasks = 12;
getNumSkippedTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_skipped_tasks = 12;
getNumSkippedTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_skipped_tasks = 12;
getNumStateStoreInstances() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: int64 num_state_store_instances = 11;
getNumStateStoreInstances() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: int64 num_state_store_instances = 11;
getNumStateStoreInstances() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: int64 num_state_store_instances = 11;
getNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: int32 num_tasks = 9;
getNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: int32 num_tasks = 9;
getNumTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: int32 num_tasks = 9;
getNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder: int32 num_tasks = 1;
getNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary: int32 num_tasks = 1;
getNumTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryOrBuilder: int32 num_tasks = 1;
getNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 num_tasks = 4;
getNumTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 num_tasks = 4;
getNumTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 num_tasks = 4;
getNumTopFeatures() - Method in interface org.apache.spark.ml.feature.SelectorParams
getNumTrees() - Method in class org.apache.spark.ml.classification.GBTClassificationModel: Number of trees in ensemble
getNumTrees() - Method in class org.apache.spark.ml.regression.GBTRegressionModel: Number of trees in ensemble
getNumTrees() - Method in interface org.apache.spark.ml.tree.RandomForestParams
getNumUserBlocks() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getNumValues() - Method in class org.apache.spark.ml.attribute.NominalAttribute: Get the number of values, either from numValues or from values.
getObjFieldValues(Object, Object[]) - Method in class org.apache.spark.serializer.SerializationDebugger.ObjectStreamClassMethods
getObservedMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: Deprecated.
getObservedMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: Deprecated.
getObservedMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: Deprecated.
getObservedMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
getObservedMetricsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getObservedMetricsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> observed_metrics = 12;
getObservedMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> observed_metrics = 12;
getObservedMetricsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> observed_metrics = 12;
getObservedMetricsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> observed_metrics = 12;
getObservedMetricsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> observed_metrics = 12;
getObservedMetricsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> observed_metrics = 12;
getObservedMetricsOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> observed_metrics = 12;
getObservedMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: map<string, string> observed_metrics = 12;
getObservedMetricsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: map<string, string> observed_metrics = 12;
getObservedMetricsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: map<string, string> observed_metrics = 12;
getOffHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 off_heap_memory_remaining = 8;
getOffHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 off_heap_memory_remaining = 8;
getOffHeapMemoryRemaining() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 off_heap_memory_remaining = 8;
getOffHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 off_heap_memory_used = 6;
getOffHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 off_heap_memory_used = 6;
getOffHeapMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 off_heap_memory_used = 6;
getOffset() - Method in interface org.apache.spark.sql.connector.read.streaming.ContinuousPartitionReader: Get the offset of the current record, or the start offset if no records have been read.
getOffset() - Method in interface org.apache.spark.sql.connector.read.streaming.SupportsRealTimeRead: Get the offset of the next record, or the start offset if no records have been read.
getOffsetClause(Integer) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getOffsetClause(Integer) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Returns the OFFSET clause for the SELECT statement
getOffsetClause(Integer) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getOffsetClause(Integer) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getOffsetCol() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase
getOldBoostingStrategy(Map<Object, Object>, Enumeration.Value) - Method in interface org.apache.spark.ml.tree.GBTParams: (private[ml]) Create a BoostingStrategy instance to use with the old API.
getOldDocConcentration() - Method in interface org.apache.spark.ml.clustering.LDAParams: Get docConcentration used by spark.mllib LDA
getOldImpurity() - Method in interface org.apache.spark.ml.tree.HasVarianceImpurity: Convert new impurity to old impurity.
getOldImpurity() - Method in interface org.apache.spark.ml.tree.TreeClassifierParams: Convert new impurity to old impurity.
getOldLossType() - Method in interface org.apache.spark.ml.tree.GBTClassifierParams: (private[ml]) Convert new loss to old loss.
getOldLossType() - Method in interface org.apache.spark.ml.tree.GBTParams: Get old Gradient Boosting Loss type
getOldLossType() - Method in interface org.apache.spark.ml.tree.GBTRegressorParams: (private[ml]) Convert new loss to old loss.
getOldOptimizer() - Method in interface org.apache.spark.ml.clustering.LDAParams
getOldStrategy(Map<Object, Object>, int, Enumeration.Value, Impurity) - Method in interface org.apache.spark.ml.tree.TreeEnsembleParams: Create a Strategy instance to use with the old API.
getOldStrategy(Map<Object, Object>, int, Enumeration.Value, Impurity, double) - Method in interface org.apache.spark.ml.tree.DecisionTreeParams: (private[ml]) Create a Strategy instance to use with the old API.
getOldTopicConcentration() - Method in interface org.apache.spark.ml.clustering.LDAParams: Get topicConcentration used by spark.mllib LDA
getOnHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 on_heap_memory_remaining = 7;
getOnHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 on_heap_memory_remaining = 7;
getOnHeapMemoryRemaining() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 on_heap_memory_remaining = 7;
getOnHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 on_heap_memory_used = 5;
getOnHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 on_heap_memory_used = 5;
getOnHeapMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 on_heap_memory_used = 5;
getOperatorName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: optional string operator_name = 1;
getOperatorName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: optional string operator_name = 1;
getOperatorName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: optional string operator_name = 1;
getOperatorNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: optional string operator_name = 1;
getOperatorNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: optional string operator_name = 1;
getOperatorNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: optional string operator_name = 1;
getOptimizeDocConcentration() - Method in interface org.apache.spark.ml.clustering.LDAParams
getOptimizeDocConcentration() - Method in class org.apache.spark.mllib.clustering.OnlineLDAOptimizer: Optimize docConcentration, indicates whether docConcentration (Dirichlet parameter for document-topic distribution) will be optimized during training.
getOptimizer() - Method in interface org.apache.spark.ml.clustering.LDAParams
getOptimizer() - Method in class org.apache.spark.mllib.clustering.LDA: LDAOptimizer used to perform the actual calculation
getOption() - Method in interface org.apache.spark.sql.streaming.GroupState: Get the state value as a scala Option.
getOption() - Method in class org.apache.spark.streaming.State: Get the state as a scala.Option.
getOption(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a parameter as an Option
getOption(String) - Method in class org.apache.spark.SparkConf: Get a parameter as an Option
getOption(String) - Method in class org.apache.spark.sql.RuntimeConfig: Returns the value of Spark runtime configuration property for the given key.
getOptional(boolean, Function0<T>) - Static method in class org.apache.spark.status.protobuf.Utils
getOrCreate() - Static method in class org.apache.spark.SparkContext: This function may be used to get or instantiate a SparkContext and register it as a singleton object.
getOrCreate() - Method in class org.apache.spark.sql.SparkSession.Builder
getOrCreate(String, Function0<JavaStreamingContext>) - Static method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Either recreate a StreamingContext from checkpoint data or create a new StreamingContext.
getOrCreate(String, Function0<JavaStreamingContext>, Configuration) - Static method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Either recreate a StreamingContext from checkpoint data or create a new StreamingContext.
getOrCreate(String, Function0<JavaStreamingContext>, Configuration, boolean) - Static method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

Either recreate a StreamingContext from checkpoint data or create a new StreamingContext.
getOrCreate(String, Function0<StreamingContext>, Configuration, boolean) - Static method in class org.apache.spark.streaming.StreamingContext: Deprecated.

Either recreate a StreamingContext from checkpoint data or create a new StreamingContext.
getOrCreate(SparkConf) - Static method in class org.apache.spark.SparkContext: This function may be used to get or instantiate a SparkContext and register it as a singleton object.
getOrCreate(SparkContext) - Static method in class org.apache.spark.sql.SQLContext: Deprecated.
Use SparkSession.builder instead. Since 2.0.0.
getOrCreate(SparkContext) - Method in interface org.apache.spark.sql.SQLContextCompanion: Deprecated.
Use SparkSession.builder instead. Since 2.0.0.
getOrCreateSparkSession(JavaSparkContext, Map<Object, Object>, boolean) - Static method in class org.apache.spark.sql.api.r.SQLUtils
getOrDefault(Param<T>) - Method in interface org.apache.spark.ml.param.Params: Gets the value of a param in the embedded param map or its default value.
getOrDiscoverAllResources(SparkConf, String, Option<String>) - Static method in class org.apache.spark.resource.ResourceUtils: Gets all allocated resource information for the input component from input resources file and the application level Spark configs.
getOrDiscoverAllResourcesForResourceProfile(Option<String>, String, ResourceProfile, SparkConf) - Static method in class org.apache.spark.resource.ResourceUtils: This function is similar to getOrDiscoverallResources, except for it uses the ResourceProfile information instead of the application level configs.
getOrElse(Param<T>, T) - Method in class org.apache.spark.ml.param.ParamMap: Returns the value associated with a param or a default value.
getOrigin(Row) - Static method in class org.apache.spark.ml.image.ImageSchema: Gets the origin of the image
getOutgoingEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdges(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdges(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutgoingEdgesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: repeated .org.apache.spark.status.protobuf.RDDOperationEdge outgoing_edges = 3;
getOutputAttrGroupFromData(Dataset<?>, Seq<String>, Seq<String>, boolean) - Static method in class org.apache.spark.ml.feature.OneHotEncoderCommon: This method is called when we want to generate AttributeGroup from actual data for one-hot encoder.
getOutputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 output_bytes = 7;
getOutputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 output_bytes = 7;
getOutputBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 output_bytes = 7;
getOutputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 output_bytes = 26;
getOutputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 output_bytes = 26;
getOutputBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 output_bytes = 26;
getOutputBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_bytes = 8;
getOutputBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double output_bytes = 8;
getOutputBytes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double output_bytes = 8;
getOutputBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_bytes = 8;
getOutputBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double output_bytes = 8;
getOutputBytesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double output_bytes = 8;
getOutputBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_bytes = 8;
getOutputBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double output_bytes = 8;
getOutputBytesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double output_bytes = 8;
getOutputBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 output_bytes_written = 28;
getOutputBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 output_bytes_written = 28;
getOutputBytesWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 output_bytes_written = 28;
getOutputCol() - Method in interface org.apache.spark.ml.param.shared.HasOutputCol
getOutputCols() - Method in interface org.apache.spark.ml.param.shared.HasOutputCols
getOutputDeterministicLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: .org.apache.spark.status.protobuf.DeterministicLevel output_deterministic_level = 6;
getOutputDeterministicLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: .org.apache.spark.status.protobuf.DeterministicLevel output_deterministic_level = 6;
getOutputDeterministicLevel() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: .org.apache.spark.status.protobuf.DeterministicLevel output_deterministic_level = 6;
getOutputDeterministicLevelValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: .org.apache.spark.status.protobuf.DeterministicLevel output_deterministic_level = 6;
getOutputDeterministicLevelValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: .org.apache.spark.status.protobuf.DeterministicLevel output_deterministic_level = 6;
getOutputDeterministicLevelValue() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: .org.apache.spark.status.protobuf.DeterministicLevel output_deterministic_level = 6;
getOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
getOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
getOutputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
getOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
getOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
getOutputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
getOutputMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
getOutputMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
getOutputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
getOutputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
getOutputMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
getOutputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
getOutputMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
getOutputMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
getOutputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 output_records = 8;
getOutputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 output_records = 8;
getOutputRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 output_records = 8;
getOutputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 output_records = 27;
getOutputRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 output_records = 27;
getOutputRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 output_records = 27;
getOutputRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_records = 9;
getOutputRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double output_records = 9;
getOutputRecords(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double output_records = 9;
getOutputRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_records = 9;
getOutputRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double output_records = 9;
getOutputRecordsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double output_records = 9;
getOutputRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double output_records = 9;
getOutputRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double output_records = 9;
getOutputRecordsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double output_records = 9;
getOutputRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 output_records_written = 29;
getOutputRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 output_records_written = 29;
getOutputRecordsWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 output_records_written = 29;
getOutputSize(int) - Method in interface org.apache.spark.ml.ann.Layer: Returns the output size given the input size (not counting the stack size).
getOutputStream(String, Configuration) - Static method in class org.apache.spark.streaming.util.HdfsUtils
getP() - Method in class org.apache.spark.ml.feature.Normalizer
getParallelism() - Method in interface org.apache.spark.ml.param.shared.HasParallelism
getParam(String) - Method in interface org.apache.spark.ml.param.Params: Gets a param by its name.
getParameter(String) - Method in class org.apache.spark.ui.XssSafeRequest
getParameterMap() - Method in class org.apache.spark.ui.XssSafeRequest
getParameterNames() - Method in class org.apache.spark.ui.XssSafeRequest
getParameterOtherTable(HttpServletRequest, String) - Method in interface org.apache.spark.ui.PagedTable: Returns parameters of other tables in the page.
getParameterValues(String) - Method in class org.apache.spark.ui.XssSafeRequest
getParents(int) - Method in class org.apache.spark.NarrowDependency: Get the parent partitions for a child partition.
getParents(int) - Method in class org.apache.spark.OneToOneDependency
getParents(int) - Method in class org.apache.spark.RangeDependency
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
getParserForType() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
getPartition(long, long, int) - Method in class org.apache.spark.graphx.PartitionStrategy.CanonicalRandomVertexCut$
getPartition(long, long, int) - Method in class org.apache.spark.graphx.PartitionStrategy.EdgePartition1D$
getPartition(long, long, int) - Method in class org.apache.spark.graphx.PartitionStrategy.EdgePartition2D$
getPartition(long, long, int) - Method in interface org.apache.spark.graphx.PartitionStrategy: Returns the partition number for a given edge.
getPartition(long, long, int) - Method in class org.apache.spark.graphx.PartitionStrategy.RandomVertexCut$
getPartition(Object) - Method in class org.apache.spark.HashPartitioner
getPartition(Object) - Method in class org.apache.spark.Partitioner
getPartition(Object) - Method in class org.apache.spark.RangePartitioner
getPartitionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int32 partition_id = 4;
getPartitionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: int32 partition_id = 4;
getPartitionId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: int32 partition_id = 4;
getPartitionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 partition_id = 4;
getPartitionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int32 partition_id = 4;
getPartitionId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int32 partition_id = 4;
getPartitionId() - Static method in class org.apache.spark.TaskContext: Returns the partition id of currently active TaskContext.
getPartitionLengths() - Method in class org.apache.spark.shuffle.api.metadata.MapOutputCommitMessage
getPartitions() - Method in class org.apache.spark.api.r.BaseRRDD
getPartitions() - Method in class org.apache.spark.rdd.CoGroupedRDD
getPartitions() - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer
getPartitions() - Method in class org.apache.spark.rdd.HadoopRDD
getPartitions() - Method in class org.apache.spark.rdd.JdbcRDD: Deprecated.
getPartitions() - Method in class org.apache.spark.rdd.NewHadoopRDD
getPartitions() - Method in class org.apache.spark.rdd.ShuffledRDD
getPartitions() - Method in class org.apache.spark.rdd.UnionRDD
getPartitions() - Method in class org.apache.spark.status.LiveRDD
getPartitions(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitions(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitions(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionsOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: repeated .org.apache.spark.status.protobuf.RDDPartitionInfo partitions = 9;
getPartitionWriter(int) - Method in interface org.apache.spark.shuffle.api.ShuffleMapOutputWriter: Creates a writer that can open an output stream to persist bytes targeted for a given reduce partition id.
getPath() - Method in class org.apache.spark.input.PortableDataStream
getPattern() - Method in class org.apache.spark.ml.feature.RegexTokenizer
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double peak_execution_memory = 15;
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double peak_execution_memory = 15;
getPeakExecutionMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double peak_execution_memory = 15;
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 peak_execution_memory = 23;
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 peak_execution_memory = 23;
getPeakExecutionMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 peak_execution_memory = 23;
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 peak_execution_memory = 25;
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 peak_execution_memory = 25;
getPeakExecutionMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 peak_execution_memory = 25;
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 peak_execution_memory = 10;
getPeakExecutionMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 peak_execution_memory = 10;
getPeakExecutionMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 peak_execution_memory = 10;
getPeakExecutionMemory(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double peak_execution_memory = 12;
getPeakExecutionMemory(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double peak_execution_memory = 12;
getPeakExecutionMemory(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double peak_execution_memory = 12;
getPeakExecutionMemoryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double peak_execution_memory = 12;
getPeakExecutionMemoryCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double peak_execution_memory = 12;
getPeakExecutionMemoryCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double peak_execution_memory = 12;
getPeakExecutionMemoryList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double peak_execution_memory = 12;
getPeakExecutionMemoryList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double peak_execution_memory = 12;
getPeakExecutionMemoryList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double peak_execution_memory = 12;
getPeakExecutorMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
getPeakExecutorMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
getPeakExecutorMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
getPeakExecutorMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
getPeakExecutorMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
getPeakExecutorMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
getPeakExecutorMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
getPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
getPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
getPeakMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
getPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
getPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
getPeakMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
getPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
getPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
getPeakMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
getPeakMemoryMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
getPeakMemoryMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
getPeakMemoryMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
getPeakMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
getPeakMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
getPeakMemoryMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
getPeakMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
getPeakMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
getPeakMemoryMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
getPeakMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
getPeakMemoryMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
getPeakMemoryMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
GetPeers(BlockManagerId) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetPeers
GetPeers$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetPeers$
getPercentile() - Method in interface org.apache.spark.ml.feature.SelectorParams
getPersistentRDDs() - Method in class org.apache.spark.api.java.JavaSparkContext: Returns a Java map of JavaRDDs that have marked themselves as persistent via cache() call.
getPersistentRDDs() - Method in class org.apache.spark.SparkContext: Returns an immutable map of RDDs that have marked themselves as persistent via cache() call.
getPhysicalPlanDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string physical_plan_description = 5;
getPhysicalPlanDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string physical_plan_description = 5;
getPhysicalPlanDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string physical_plan_description = 5;
getPhysicalPlanDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string physical_plan_description = 5;
getPhysicalPlanDescriptionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string physical_plan_description = 5;
getPhysicalPlanDescriptionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string physical_plan_description = 5;
getPmml() - Method in interface org.apache.spark.mllib.pmml.export.PMMLModelExport
getPoissonSamplingFunction(RDD<Tuple2<K, V>>, Map<K, Object>, boolean, long, ClassTag<K>, ClassTag<V>) - Static method in class org.apache.spark.util.random.StratifiedSamplingUtils: Return the per partition sampling function used for sampling with replacement.
getPoolForName(String) - Method in class org.apache.spark.SparkContext: :: DeveloperApi :: Return the pool associated with the given name, if one exists
getPosition() - Method in class org.apache.spark.streaming.kinesis.KinesisInitialPositions.AtTimestamp
getPosition() - Method in class org.apache.spark.streaming.kinesis.KinesisInitialPositions.Latest
getPosition() - Method in class org.apache.spark.streaming.kinesis.KinesisInitialPositions.TrimHorizon
getPowerIterationClustering(int, String, int, String, String, String) - Static method in class org.apache.spark.ml.r.PowerIterationClusteringWrapper
getPredictionCol() - Method in interface org.apache.spark.ml.param.shared.HasPredictionCol
getPreferredLocations(Partition) - Method in class org.apache.spark.rdd.HadoopRDD
getPreferredLocations(Partition) - Method in class org.apache.spark.rdd.NewHadoopRDD
getPreferredLocations(Partition) - Method in class org.apache.spark.rdd.UnionRDD
getPrefixSpan(double, int, double, String) - Static method in class org.apache.spark.ml.r.PrefixSpanWrapper
getProbabilityCol() - Method in interface org.apache.spark.ml.param.shared.HasProbabilityCol
getProcessedRowsPerSecond() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: double processed_rows_per_second = 7;
getProcessedRowsPerSecond() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: double processed_rows_per_second = 7;
getProcessedRowsPerSecond() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: double processed_rows_per_second = 7;
getProcessLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: Deprecated.
getProcessLogs() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: Deprecated.
getProcessLogs() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: Deprecated.
getProcessLogsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
getProcessLogsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
getProcessLogsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: map<string, string> process_logs = 7;
getProcessLogsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: map<string, string> process_logs = 7;
getProcessLogsMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: map<string, string> process_logs = 7;
getProcessLogsMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: map<string, string> process_logs = 7;
getProcessLogsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: map<string, string> process_logs = 7;
getProcessLogsOrDefault(String, String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: map<string, string> process_logs = 7;
getProcessLogsOrDefault(String, String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: map<string, string> process_logs = 7;
getProcessLogsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: map<string, string> process_logs = 7;
getProcessLogsOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: map<string, string> process_logs = 7;
getProcessLogsOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: map<string, string> process_logs = 7;
getProcessName() - Static method in class org.apache.spark.util.Utils: Returns the name of this JVM process.
getProgress() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
getProgress() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
getProgress() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapperOrBuilder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
getProgressBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
getProgressOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
getProgressOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
getProgressOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapperOrBuilder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
getPropertiesFromFile(String) - Static method in class org.apache.spark.util.Utils: Load properties present in the given file.
getQuantile() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: optional string quantile = 3;
getQuantile() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: optional string quantile = 3;
getQuantile() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: optional string quantile = 3;
getQuantileBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: optional string quantile = 3;
getQuantileBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: optional string quantile = 3;
getQuantileBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: optional string quantile = 3;
getQuantileCalculationStrategy() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getQuantileProbabilities() - Method in interface org.apache.spark.ml.regression.AFTSurvivalRegressionParams
getQuantiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double quantiles = 1;
getQuantiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double quantiles = 1;
getQuantiles(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double quantiles = 1;
getQuantiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated double quantiles = 1;
getQuantiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated double quantiles = 1;
getQuantiles(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated double quantiles = 1;
getQuantiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double quantiles = 1;
getQuantiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double quantiles = 1;
getQuantiles(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double quantiles = 1;
getQuantilesCol() - Method in interface org.apache.spark.ml.regression.AFTSurvivalRegressionParams
getQuantilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double quantiles = 1;
getQuantilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double quantiles = 1;
getQuantilesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double quantiles = 1;
getQuantilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated double quantiles = 1;
getQuantilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated double quantiles = 1;
getQuantilesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated double quantiles = 1;
getQuantilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double quantiles = 1;
getQuantilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double quantiles = 1;
getQuantilesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double quantiles = 1;
getQuantilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double quantiles = 1;
getQuantilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double quantiles = 1;
getQuantilesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double quantiles = 1;
getQuantilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder: repeated double quantiles = 1;
getQuantilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions: repeated double quantiles = 1;
getQuantilesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributionsOrBuilder: repeated double quantiles = 1;
getQuantilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double quantiles = 1;
getQuantilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double quantiles = 1;
getQuantilesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double quantiles = 1;
getQuantilesValue(IndexedSeq<Object>, double[]) - Static method in class org.apache.spark.status.AppStatusUtils
getQueryContext() - Method in exception org.apache.spark.SparkException
getQueryContext() - Method in interface org.apache.spark.SparkThrowable
getQueryContext() - Method in exception org.apache.spark.sql.AnalysisException
getQueryId() - Method in interface org.apache.spark.sql.streaming.QueryInfo: Function to return unique streaming query id associated with stateful operator.
getQueryId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string query_id = 15;
getQueryId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string query_id = 15;
getQueryId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string query_id = 15;
getQueryIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string query_id = 15;
getQueryIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string query_id = 15;
getQueryIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string query_id = 15;
getQueryInfo() - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: Function to return query info for the current query
getQueryName(StreamingQueryUIData) - Static method in class org.apache.spark.sql.streaming.ui.UIUtils
getQueryStatus(StreamingQueryUIData) - Static method in class org.apache.spark.sql.streaming.ui.UIUtils
getRandomSample(Seq<T>, int, Random) - Static method in class org.apache.spark.storage.BlockReplicationUtils: Get a random sample of size m from the elems
getRank() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getRatingCol() - Method in interface org.apache.spark.ml.recommendation.ALSParams
getRawPredictionCol() - Method in interface org.apache.spark.ml.param.shared.HasRawPredictionCol
getRddBlocks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 rdd_blocks = 4;
getRddBlocks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 rdd_blocks = 4;
getRddBlocks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 rdd_blocks = 4;
GetRDDBlockVisibility(RDDBlockId) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetRDDBlockVisibility
GetRDDBlockVisibility$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetRDDBlockVisibility$
getRddIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated int64 rdd_ids = 43;
getRddIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated int64 rdd_ids = 43;
getRddIds(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated int64 rdd_ids = 43;
getRddIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated int64 rdd_ids = 43;
getRddIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated int64 rdd_ids = 43;
getRddIdsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated int64 rdd_ids = 43;
getRddIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: repeated int64 rdd_ids = 43;
getRddIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: repeated int64 rdd_ids = 43;
getRddIdsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: repeated int64 rdd_ids = 43;
getRDDStorageInfo() - Method in class org.apache.spark.SparkContext: :: DeveloperApi :: Return information about what RDDs are cached, if they are in mem or on disk, how much space they take, etc.
getReadBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_bytes = 1;
getReadBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double read_bytes = 1;
getReadBytes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double read_bytes = 1;
getReadBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_bytes = 1;
getReadBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double read_bytes = 1;
getReadBytesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double read_bytes = 1;
getReadBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_bytes = 1;
getReadBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double read_bytes = 1;
getReadBytesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double read_bytes = 1;
getReadLimits() - Method in class org.apache.spark.sql.connector.read.streaming.CompositeReadLimit
getReadOnlyConf() - Method in class org.apache.spark.api.java.JavaSparkContext: Return a read-only version of the spark conf.
getReadOnlyConf() - Method in class org.apache.spark.SparkContext: Get a read-only reference to the spark conf.
getReadRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_records = 2;
getReadRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double read_records = 2;
getReadRecords(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double read_records = 2;
getReadRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_records = 2;
getReadRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double read_records = 2;
getReadRecordsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double read_records = 2;
getReadRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double read_records = 2;
getReadRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double read_records = 2;
getReadRecordsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double read_records = 2;
getReceiver() - Method in class org.apache.spark.streaming.dstream.ReceiverInputDStream: Gets the receiver object that will be sent to the worker nodes to receive data.
getRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double records_read = 19;
getRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double records_read = 19;
getRecordsRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double records_read = 19;
getRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder: int64 records_read = 2;
getRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics: int64 records_read = 2;
getRecordsRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricsOrBuilder: int64 records_read = 2;
getRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 records_read = 7;
getRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 records_read = 7;
getRecordsRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 records_read = 7;
getRecordsRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double records_read = 2;
getRecordsRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions: repeated double records_read = 2;
getRecordsRead(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributionsOrBuilder: repeated double records_read = 2;
getRecordsReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double records_read = 2;
getRecordsReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions: repeated double records_read = 2;
getRecordsReadCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributionsOrBuilder: repeated double records_read = 2;
getRecordsReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder: repeated double records_read = 2;
getRecordsReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions: repeated double records_read = 2;
getRecordsReadList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributionsOrBuilder: repeated double records_read = 2;
getRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double records_written = 21;
getRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double records_written = 21;
getRecordsWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double records_written = 21;
getRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder: int64 records_written = 2;
getRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics: int64 records_written = 2;
getRecordsWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricsOrBuilder: int64 records_written = 2;
getRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder: int64 records_written = 3;
getRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics: int64 records_written = 3;
getRecordsWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricsOrBuilder: int64 records_written = 3;
getRecordsWritten(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double records_written = 2;
getRecordsWritten(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions: repeated double records_written = 2;
getRecordsWritten(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributionsOrBuilder: repeated double records_written = 2;
getRecordsWrittenCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double records_written = 2;
getRecordsWrittenCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions: repeated double records_written = 2;
getRecordsWrittenCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributionsOrBuilder: repeated double records_written = 2;
getRecordsWrittenList() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder: repeated double records_written = 2;
getRecordsWrittenList() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions: repeated double records_written = 2;
getRecordsWrittenList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributionsOrBuilder: repeated double records_written = 2;
getRegParam() - Method in interface org.apache.spark.ml.param.shared.HasRegParam
getRelativeError() - Method in interface org.apache.spark.ml.param.shared.HasRelativeError
getRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_blocks_fetched = 1;
getRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 remote_blocks_fetched = 1;
getRemoteBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 remote_blocks_fetched = 1;
getRemoteBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetched(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetchedCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_blocks_fetched = 3;
getRemoteBlocksFetchedList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_blocks_fetched = 3;
getRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_bytes_read = 4;
getRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 remote_bytes_read = 4;
getRemoteBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 remote_bytes_read = 4;
getRemoteBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read = 6;
getRemoteBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_bytes_read = 6;
getRemoteBytesRead(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_bytes_read = 6;
getRemoteBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read = 6;
getRemoteBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_bytes_read = 6;
getRemoteBytesReadCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_bytes_read = 6;
getRemoteBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read = 6;
getRemoteBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_bytes_read = 6;
getRemoteBytesReadList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_bytes_read = 6;
getRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_bytes_read_to_disk = 5;
getRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 remote_bytes_read_to_disk = 5;
getRemoteBytesReadToDisk() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 remote_bytes_read_to_disk = 5;
getRemoteBytesReadToDisk(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDisk(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDisk(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDiskCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDiskCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDiskCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDiskList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDiskList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_bytes_read_to_disk = 7;
getRemoteBytesReadToDiskList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_bytes_read_to_disk = 7;
getRemoteMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetched(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetchedCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBlocksFetchedList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_blocks_fetched = 3;
getRemoteMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_bytes_read = 7;
getRemoteMergedBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 remote_merged_bytes_read = 7;
getRemoteMergedBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 remote_merged_bytes_read = 7;
getRemoteMergedBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesRead(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesReadCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_bytes_read = 7;
getRemoteMergedBytesReadList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_bytes_read = 7;
getRemoteMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetched(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetchedCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedChunksFetchedList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_chunks_fetched = 5;
getRemoteMergedReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder: int64 remote_merged_reqs_duration = 9;
getRemoteMergedReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics: int64 remote_merged_reqs_duration = 9;
getRemoteMergedReqsDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricsOrBuilder: int64 remote_merged_reqs_duration = 9;
getRemoteMergedReqsDuration(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDuration(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDuration(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDurationCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDurationCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDurationCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDurationList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDurationList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions: repeated double remote_merged_reqs_duration = 9;
getRemoteMergedReqsDurationList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributionsOrBuilder: repeated double remote_merged_reqs_duration = 9;
getRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: int64 remote_reqs_duration = 8;
getRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: int64 remote_reqs_duration = 8;
getRemoteReqsDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: int64 remote_reqs_duration = 8;
getRemoteReqsDuration(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_reqs_duration = 9;
getRemoteReqsDuration(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_reqs_duration = 9;
getRemoteReqsDuration(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_reqs_duration = 9;
getRemoteReqsDurationCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_reqs_duration = 9;
getRemoteReqsDurationCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_reqs_duration = 9;
getRemoteReqsDurationCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_reqs_duration = 9;
getRemoteReqsDurationList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double remote_reqs_duration = 9;
getRemoteReqsDurationList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double remote_reqs_duration = 9;
getRemoteReqsDurationList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double remote_reqs_duration = 9;
getRemoteUser() - Method in class org.apache.spark.ui.XssSafeRequest
getRemoveReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string remove_reason = 22;
getRemoveReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string remove_reason = 22;
getRemoveReason() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string remove_reason = 22;
getRemoveReasonBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string remove_reason = 22;
getRemoveReasonBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string remove_reason = 22;
getRemoveReasonBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string remove_reason = 22;
getRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional int64 remove_time = 21;
getRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional int64 remove_time = 21;
getRemoveTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional int64 remove_time = 21;
getRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional int64 remove_time = 6;
getRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional int64 remove_time = 6;
getRemoveTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional int64 remove_time = 6;
getRenameColumnQuery(String, String, String, int) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getRenameColumnQuery(String, String, String, int) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getRenameColumnQuery(String, String, String, int) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getRenameColumnQuery(String, String, String, int) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
GetReplicateInfoForRDDBlocks(BlockManagerId) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetReplicateInfoForRDDBlocks
GetReplicateInfoForRDDBlocks$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetReplicateInfoForRDDBlocks$
getResource(String) - Method in class org.apache.spark.util.ChildFirstURLClassLoader
getResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string resource_name = 1;
getResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string resource_name = 1;
getResourceName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string resource_name = 1;
getResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder: optional string resource_name = 1;
getResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest: optional string resource_name = 1;
getResourceName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequestOrBuilder: optional string resource_name = 1;
getResourceNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string resource_name = 1;
getResourceNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string resource_name = 1;
getResourceNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string resource_name = 1;
getResourceNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder: optional string resource_name = 1;
getResourceNameBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest: optional string resource_name = 1;
getResourceNameBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequestOrBuilder: optional string resource_name = 1;
getResourceProfile() - Method in class org.apache.spark.api.java.JavaRDD: Get the ResourceProfile specified with this RDD or None if it wasn't specified.
getResourceProfile() - Method in class org.apache.spark.rdd.RDD: Get the ResourceProfile specified with this RDD or null if it wasn't specified.
getResourceProfileId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 resource_profile_id = 29;
getResourceProfileId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 resource_profile_id = 29;
getResourceProfileId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 resource_profile_id = 29;
getResourceProfileId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 resource_profile_id = 49;
getResourceProfileId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 resource_profile_id = 49;
getResourceProfileId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 resource_profile_id = 49;
getResourceProfiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfiles(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfiles(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResourceProfilesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.ResourceProfileInfo resource_profiles = 7;
getResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: Deprecated.
getResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: Deprecated.
getResources() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: Deprecated.
getResources(String) - Method in class org.apache.spark.util.ChildFirstURLClassLoader
getResourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
getResourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getResourcesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesOrDefault(String, StoreTypes.ResourceInformation) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesOrDefault(String, StoreTypes.ResourceInformation) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesOrDefault(String, StoreTypes.ResourceInformation) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResourcesOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: map<string, .org.apache.spark.status.protobuf.ResourceInformation> resources = 28;
getResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional int64 result_fetch_start = 6;
getResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional int64 result_fetch_start = 6;
getResultFetchStart() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional int64 result_fetch_start = 6;
getResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 result_fetch_start = 6;
getResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 result_fetch_start = 6;
getResultFetchStart() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 result_fetch_start = 6;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double result_serialization_time = 12;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double result_serialization_time = 12;
getResultSerializationTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double result_serialization_time = 12;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 result_serialization_time = 20;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 result_serialization_time = 20;
getResultSerializationTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 result_serialization_time = 20;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 result_serialization_time = 22;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 result_serialization_time = 22;
getResultSerializationTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 result_serialization_time = 22;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 result_serialization_time = 7;
getResultSerializationTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 result_serialization_time = 7;
getResultSerializationTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 result_serialization_time = 7;
getResultSerializationTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_serialization_time = 9;
getResultSerializationTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double result_serialization_time = 9;
getResultSerializationTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double result_serialization_time = 9;
getResultSerializationTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_serialization_time = 9;
getResultSerializationTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double result_serialization_time = 9;
getResultSerializationTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double result_serialization_time = 9;
getResultSerializationTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_serialization_time = 9;
getResultSerializationTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double result_serialization_time = 9;
getResultSerializationTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double result_serialization_time = 9;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double result_size = 10;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double result_size = 10;
getResultSize() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double result_size = 10;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 result_size = 18;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 result_size = 18;
getResultSize() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 result_size = 18;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 result_size = 20;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 result_size = 20;
getResultSize() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 result_size = 20;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: int64 result_size = 5;
getResultSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: int64 result_size = 5;
getResultSize() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: int64 result_size = 5;
getResultSize(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_size = 7;
getResultSize(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double result_size = 7;
getResultSize(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double result_size = 7;
getResultSizeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_size = 7;
getResultSizeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double result_size = 7;
getResultSizeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double result_size = 7;
getResultSizeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double result_size = 7;
getResultSizeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double result_size = 7;
getResultSizeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double result_size = 7;
getRight() - Method in record class org.apache.spark.util.Pair: Returns the value of the getRight record component.
getRoaringBitMap(ShuffleBlockChunkId) - Method in class org.apache.spark.storage.PushBasedFetchHelper: Get the RoaringBitMap for a specific ShuffleBlockChunkId
getRollingIntervalSecs(SparkConf, boolean) - Static method in class org.apache.spark.streaming.util.WriteAheadLogUtils
getRootCause(Throwable) - Method in interface org.apache.spark.util.SparkErrorUtils: Walks the Throwable to obtain its root cause.
getRootCause(Throwable) - Static method in class org.apache.spark.util.Utils
getRootCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
getRootCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
getRootCluster() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
getRootClusterBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
getRootClusterOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
getRootClusterOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
getRootClusterOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
getRootDirectory() - Static method in class org.apache.spark.SparkFiles: Get the root directory that contains files added through SparkContext.addFile().
getRootExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: int64 root_execution_id = 2;
getRootExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: int64 root_execution_id = 2;
getRootExecutionId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: int64 root_execution_id = 2;
getRow(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatch: Returns the row in this batch at `rowId`.
getRpInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
getRpInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
getRpInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapperOrBuilder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
getRpInfoBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
getRpInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
getRpInfoOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
getRpInfoOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapperOrBuilder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
getRunId() - Method in interface org.apache.spark.sql.streaming.QueryInfo: Function to return unique streaming query run id associated with stateful operator.
getRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string run_id = 3;
getRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string run_id = 3;
getRunId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string run_id = 3;
getRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string run_id = 2;
getRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string run_id = 2;
getRunId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string run_id = 2;
getRunIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string run_id = 3;
getRunIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string run_id = 3;
getRunIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string run_id = 3;
getRunIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string run_id = 2;
getRunIdBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string run_id = 2;
getRunIdBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string run_id = 2;
getRuntime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
getRuntime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
getRuntime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
getRuntimeBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
getRuntimeOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
getRuntimeOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
getRuntimeOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
getScalaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string scala_version = 3;
getScalaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string scala_version = 3;
getScalaVersion() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string scala_version = 3;
getScalaVersionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string scala_version = 3;
getScalaVersionBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string scala_version = 3;
getScalaVersionBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string scala_version = 3;
getScalingVec() - Method in class org.apache.spark.ml.feature.ElementwiseProduct
getSchedulableByName(String) - Method in interface org.apache.spark.scheduler.Schedulable
getSchedulerDelay() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double scheduler_delay = 14;
getSchedulerDelay() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double scheduler_delay = 14;
getSchedulerDelay() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double scheduler_delay = 14;
getSchedulerDelay() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 scheduler_delay = 17;
getSchedulerDelay() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: int64 scheduler_delay = 17;
getSchedulerDelay() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: int64 scheduler_delay = 17;
getSchedulerDelay(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double scheduler_delay = 11;
getSchedulerDelay(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double scheduler_delay = 11;
getSchedulerDelay(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double scheduler_delay = 11;
getSchedulerDelayCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double scheduler_delay = 11;
getSchedulerDelayCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double scheduler_delay = 11;
getSchedulerDelayCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double scheduler_delay = 11;
getSchedulerDelayList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: repeated double scheduler_delay = 11;
getSchedulerDelayList() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: repeated double scheduler_delay = 11;
getSchedulerDelayList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: repeated double scheduler_delay = 11;
getSchedulingMode() - Method in class org.apache.spark.SparkContext: Return current scheduling mode
getSchedulingPool() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string scheduling_pool = 42;
getSchedulingPool() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string scheduling_pool = 42;
getSchedulingPool() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string scheduling_pool = 42;
getSchedulingPoolBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string scheduling_pool = 42;
getSchedulingPoolBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string scheduling_pool = 42;
getSchedulingPoolBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string scheduling_pool = 42;
getSchemaCommentQuery(String, String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getSchemaCommentQuery(String, String) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getSchemaCommentQuery(String, String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getSchemaField(StructType, String) - Static method in class org.apache.spark.ml.util.SchemaUtils: Get schema field.
getSchemaFieldType(StructType, String) - Static method in class org.apache.spark.ml.util.SchemaUtils: Get schema field type.
getSchemaQuery(String) - Method in class org.apache.spark.sql.jdbc.AggregatedDialect
getSchemaQuery(String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: The SQL query that should be used to discover the schema of a table.
getSchemaQuery(String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getSeed() - Method in interface org.apache.spark.ml.param.shared.HasSeed
getSeed() - Method in class org.apache.spark.mllib.clustering.BisectingKMeans: Gets the random seed.
getSeed() - Method in class org.apache.spark.mllib.clustering.GaussianMixture: Return the random seed
getSeed() - Method in class org.apache.spark.mllib.clustering.KMeans: The random seed for cluster initialization.
getSeed() - Method in class org.apache.spark.mllib.clustering.LDA: Random seed for cluster initialization.
getSeed() - Method in class org.apache.spark.mllib.clustering.LocalLDAModel: Random seed for cluster initialization.
getSelectionMode() - Method in interface org.apache.spark.ml.feature.UnivariateFeatureSelectorParams
getSelectionThreshold() - Method in interface org.apache.spark.ml.feature.UnivariateFeatureSelectorParams
getSelectorType() - Method in interface org.apache.spark.ml.feature.SelectorParams
getSeq(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of array type as a Scala Seq.
getSeqOp(boolean, Map<K, Object>, org.apache.spark.util.random.StratifiedSamplingUtils.RandomDataGenerator, Option<Map<K, Object>>) - Static method in class org.apache.spark.util.random.StratifiedSamplingUtils: Returns the function used by aggregate to collect sampling statistics for each partition.
getSequenceCol() - Method in interface org.apache.spark.ml.fpm.PrefixSpanParams
getSerializationProxy(Object) - Static method in class org.apache.spark.util.IndylambdaScalaClosures: Check if the given reference is a indylambda style Scala closure.
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
getSerializedSize() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
getSessionConf(SparkSession) - Static method in class org.apache.spark.sql.api.r.SQLUtils
getShort(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a primitive short.
getShort(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getShort(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getShort(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getShort(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getShort(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the short type value for rowId.
getShorts(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Gets short type values from [rowId, rowId + count).
getShuffleBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_bytes_written = 37;
getShuffleBytesWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_bytes_written = 37;
getShuffleBytesWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_bytes_written = 37;
getShuffleChunkCardinality(ShuffleBlockChunkId) - Method in class org.apache.spark.storage.PushBasedFetchHelper: Get the number of map blocks in a ShuffleBlockChunk
getShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_corrupt_merged_block_chunks = 33;
getShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_corrupt_merged_block_chunks = 33;
getShuffleCorruptMergedBlockChunks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_corrupt_merged_block_chunks = 33;
getShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_corrupt_merged_block_chunks = 53;
getShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_corrupt_merged_block_chunks = 53;
getShuffleCorruptMergedBlockChunks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_corrupt_merged_block_chunks = 53;
getShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_corrupt_merged_block_chunks = 42;
getShuffleCorruptMergedBlockChunks() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_corrupt_merged_block_chunks = 42;
getShuffleCorruptMergedBlockChunks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_corrupt_merged_block_chunks = 42;
getShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_fetch_wait_time = 26;
getShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_fetch_wait_time = 26;
getShuffleFetchWaitTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_fetch_wait_time = 26;
getShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_fetch_wait_time = 30;
getShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_fetch_wait_time = 30;
getShuffleFetchWaitTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_fetch_wait_time = 30;
getShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_fetch_wait_time = 32;
getShuffleFetchWaitTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_fetch_wait_time = 32;
getShuffleFetchWaitTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_fetch_wait_time = 32;
getShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_local_blocks_fetched = 25;
getShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_local_blocks_fetched = 25;
getShuffleLocalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_local_blocks_fetched = 25;
getShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_local_blocks_fetched = 29;
getShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_local_blocks_fetched = 29;
getShuffleLocalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_local_blocks_fetched = 29;
getShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_local_blocks_fetched = 31;
getShuffleLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_local_blocks_fetched = 31;
getShuffleLocalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_local_blocks_fetched = 31;
getShuffleLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_local_bytes_read = 33;
getShuffleLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_local_bytes_read = 33;
getShuffleLocalBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_local_bytes_read = 33;
getShuffleLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_local_bytes_read = 35;
getShuffleLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_local_bytes_read = 35;
getShuffleLocalBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_local_bytes_read = 35;
getShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_fetch_fallback_count = 34;
getShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_fetch_fallback_count = 34;
getShuffleMergedFetchFallbackCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_fetch_fallback_count = 34;
getShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_fetch_fallback_count = 54;
getShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_fetch_fallback_count = 54;
getShuffleMergedFetchFallbackCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_fetch_fallback_count = 54;
getShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_fetch_fallback_count = 43;
getShuffleMergedFetchFallbackCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_fetch_fallback_count = 43;
getShuffleMergedFetchFallbackCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_fetch_fallback_count = 43;
getShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_local_blocks_fetched = 36;
getShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_local_blocks_fetched = 36;
getShuffleMergedLocalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_local_blocks_fetched = 36;
getShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_local_blocks_fetched = 56;
getShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_local_blocks_fetched = 56;
getShuffleMergedLocalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_local_blocks_fetched = 56;
getShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_local_blocks_fetched = 45;
getShuffleMergedLocalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_local_blocks_fetched = 45;
getShuffleMergedLocalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_local_blocks_fetched = 45;
getShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_local_bytes_read = 40;
getShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_local_bytes_read = 40;
getShuffleMergedLocalBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_local_bytes_read = 40;
getShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_local_bytes_read = 60;
getShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_local_bytes_read = 60;
getShuffleMergedLocalBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_local_bytes_read = 60;
getShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_local_bytes_read = 49;
getShuffleMergedLocalBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_local_bytes_read = 49;
getShuffleMergedLocalBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_local_bytes_read = 49;
getShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_local_chunks_fetched = 38;
getShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_local_chunks_fetched = 38;
getShuffleMergedLocalChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_local_chunks_fetched = 38;
getShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_local_chunks_fetched = 58;
getShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_local_chunks_fetched = 58;
getShuffleMergedLocalChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_local_chunks_fetched = 58;
getShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_local_chunks_fetched = 47;
getShuffleMergedLocalChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_local_chunks_fetched = 47;
getShuffleMergedLocalChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_local_chunks_fetched = 47;
getShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_blocks_fetched = 35;
getShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_remote_blocks_fetched = 35;
getShuffleMergedRemoteBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_remote_blocks_fetched = 35;
getShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_blocks_fetched = 55;
getShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_remote_blocks_fetched = 55;
getShuffleMergedRemoteBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_remote_blocks_fetched = 55;
getShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_blocks_fetched = 44;
getShuffleMergedRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_remote_blocks_fetched = 44;
getShuffleMergedRemoteBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_remote_blocks_fetched = 44;
getShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_bytes_read = 39;
getShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_remote_bytes_read = 39;
getShuffleMergedRemoteBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_remote_bytes_read = 39;
getShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_bytes_read = 59;
getShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_remote_bytes_read = 59;
getShuffleMergedRemoteBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_remote_bytes_read = 59;
getShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_bytes_read = 48;
getShuffleMergedRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_remote_bytes_read = 48;
getShuffleMergedRemoteBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_remote_bytes_read = 48;
getShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_chunks_fetched = 37;
getShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_remote_chunks_fetched = 37;
getShuffleMergedRemoteChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_remote_chunks_fetched = 37;
getShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_chunks_fetched = 57;
getShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_remote_chunks_fetched = 57;
getShuffleMergedRemoteChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_remote_chunks_fetched = 57;
getShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_chunks_fetched = 46;
getShuffleMergedRemoteChunksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_remote_chunks_fetched = 46;
getShuffleMergedRemoteChunksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_remote_chunks_fetched = 46;
getShuffleMergedRemoteReqDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_merged_remote_req_duration = 51;
getShuffleMergedRemoteReqDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_merged_remote_req_duration = 51;
getShuffleMergedRemoteReqDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_merged_remote_req_duration = 51;
getShuffleMergedRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_merged_remote_reqs_duration = 42;
getShuffleMergedRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_merged_remote_reqs_duration = 42;
getShuffleMergedRemoteReqsDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_merged_remote_reqs_duration = 42;
getShuffleMergedRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_merged_remote_reqs_duration = 62;
getShuffleMergedRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_merged_remote_reqs_duration = 62;
getShuffleMergedRemoteReqsDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_merged_remote_reqs_duration = 62;
getShuffleMergersCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int32 shuffle_mergers_count = 64;
getShuffleMergersCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int32 shuffle_mergers_count = 64;
getShuffleMergersCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int32 shuffle_mergers_count = 64;
getShufflePushMergerLocations() - Method in class org.apache.spark.ShuffleStatus
getShufflePushMergerLocations(int, int) - Method in interface org.apache.spark.scheduler.SchedulerBackend: Get the list of host locations for push based shuffle
GetShufflePushMergerLocations(int, Set<String>) - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetShufflePushMergerLocations
GetShufflePushMergerLocations$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetShufflePushMergerLocations$
getShufflePushReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
getShufflePushReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
getShufflePushReadMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
getShufflePushReadMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
getShufflePushReadMetricsDist() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
getShufflePushReadMetricsDist() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
getShufflePushReadMetricsDist() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
getShufflePushReadMetricsDistBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
getShufflePushReadMetricsDistOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
getShufflePushReadMetricsDistOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
getShufflePushReadMetricsDistOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
getShufflePushReadMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
getShufflePushReadMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
getShufflePushReadMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
getShuffleRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_read = 9;
getShuffleRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 shuffle_read = 9;
getShuffleRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 shuffle_read = 9;
getShuffleRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read = 10;
getShuffleRead(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_read = 10;
getShuffleRead(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_read = 10;
getShuffleReadBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_read_bytes = 22;
getShuffleReadBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_read_bytes = 22;
getShuffleReadBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_read_bytes = 22;
getShuffleReadBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_read_bytes = 34;
getShuffleReadBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_read_bytes = 34;
getShuffleReadBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_read_bytes = 34;
getShuffleReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read = 10;
getShuffleReadCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_read = 10;
getShuffleReadCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_read = 10;
getShuffleReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read = 10;
getShuffleReadList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_read = 10;
getShuffleReadList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_read = 10;
getShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
getShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
getShuffleReadMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
getShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
getShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
getShuffleReadMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
getShuffleReadMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
getShuffleReadMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
getShuffleReadMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
getShuffleReadMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
getShuffleReadMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
getShuffleReadMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
getShuffleReadMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
getShuffleReadMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
getShuffleReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_read_records = 10;
getShuffleReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 shuffle_read_records = 10;
getShuffleReadRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 shuffle_read_records = 10;
getShuffleReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_read_records = 35;
getShuffleReadRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_read_records = 35;
getShuffleReadRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_read_records = 35;
getShuffleReadRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read_records = 11;
getShuffleReadRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_read_records = 11;
getShuffleReadRecords(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_read_records = 11;
getShuffleReadRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read_records = 11;
getShuffleReadRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_read_records = 11;
getShuffleReadRecordsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_read_records = 11;
getShuffleReadRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_read_records = 11;
getShuffleReadRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_read_records = 11;
getShuffleReadRecordsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_read_records = 11;
getShuffleRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_records_read = 23;
getShuffleRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_records_read = 23;
getShuffleRecordsRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_records_read = 23;
getShuffleRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_records_read = 36;
getShuffleRecordsRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_records_read = 36;
getShuffleRecordsRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_records_read = 36;
getShuffleRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_records_written = 39;
getShuffleRecordsWritten() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_records_written = 39;
getShuffleRecordsWritten() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_records_written = 39;
getShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_blocks_fetched = 24;
getShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_remote_blocks_fetched = 24;
getShuffleRemoteBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_remote_blocks_fetched = 24;
getShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_blocks_fetched = 28;
getShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_remote_blocks_fetched = 28;
getShuffleRemoteBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_remote_blocks_fetched = 28;
getShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_blocks_fetched = 30;
getShuffleRemoteBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_remote_blocks_fetched = 30;
getShuffleRemoteBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_remote_blocks_fetched = 30;
getShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_bytes_read = 27;
getShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_remote_bytes_read = 27;
getShuffleRemoteBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_remote_bytes_read = 27;
getShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_bytes_read = 31;
getShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_remote_bytes_read = 31;
getShuffleRemoteBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_remote_bytes_read = 31;
getShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_bytes_read = 33;
getShuffleRemoteBytesRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_remote_bytes_read = 33;
getShuffleRemoteBytesRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_remote_bytes_read = 33;
getShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_bytes_read_to_disk = 28;
getShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_remote_bytes_read_to_disk = 28;
getShuffleRemoteBytesReadToDisk() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_remote_bytes_read_to_disk = 28;
getShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_bytes_read_to_disk = 32;
getShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_remote_bytes_read_to_disk = 32;
getShuffleRemoteBytesReadToDisk() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_remote_bytes_read_to_disk = 32;
getShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_bytes_read_to_disk = 34;
getShuffleRemoteBytesReadToDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_remote_bytes_read_to_disk = 34;
getShuffleRemoteBytesReadToDisk() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_remote_bytes_read_to_disk = 34;
getShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_remote_reqs_duration = 41;
getShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_remote_reqs_duration = 41;
getShuffleRemoteReqsDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_remote_reqs_duration = 41;
getShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_remote_reqs_duration = 61;
getShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_remote_reqs_duration = 61;
getShuffleRemoteReqsDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_remote_reqs_duration = 61;
getShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_remote_reqs_duration = 50;
getShuffleRemoteReqsDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_remote_reqs_duration = 50;
getShuffleRemoteReqsDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_remote_reqs_duration = 50;
getShuffleTotalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_total_blocks_fetched = 29;
getShuffleTotalBlocksFetched() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_total_blocks_fetched = 29;
getShuffleTotalBlocksFetched() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_total_blocks_fetched = 29;
getShuffleWrite() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_write = 11;
getShuffleWrite() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 shuffle_write = 11;
getShuffleWrite() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 shuffle_write = 11;
getShuffleWrite(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write = 12;
getShuffleWrite(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_write = 12;
getShuffleWrite(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_write = 12;
getShuffleWriteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_write_bytes = 30;
getShuffleWriteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_write_bytes = 30;
getShuffleWriteBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_write_bytes = 30;
getShuffleWriteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_write_bytes = 36;
getShuffleWriteBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_write_bytes = 36;
getShuffleWriteBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_write_bytes = 36;
getShuffleWriteCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write = 12;
getShuffleWriteCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_write = 12;
getShuffleWriteCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_write = 12;
getShuffleWriteList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write = 12;
getShuffleWriteList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_write = 12;
getShuffleWriteList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_write = 12;
getShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
getShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
getShuffleWriteMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
getShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
getShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
getShuffleWriteMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
getShuffleWriteMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
getShuffleWriteMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
getShuffleWriteMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
getShuffleWriteMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
getShuffleWriteMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
getShuffleWriteMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
getShuffleWriteMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
getShuffleWriteMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
getShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_write_records = 31;
getShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_write_records = 31;
getShuffleWriteRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_write_records = 31;
getShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 shuffle_write_records = 12;
getShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 shuffle_write_records = 12;
getShuffleWriteRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 shuffle_write_records = 12;
getShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_write_records = 38;
getShuffleWriteRecords() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_write_records = 38;
getShuffleWriteRecords() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_write_records = 38;
getShuffleWriteRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write_records = 13;
getShuffleWriteRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_write_records = 13;
getShuffleWriteRecords(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_write_records = 13;
getShuffleWriteRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write_records = 13;
getShuffleWriteRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_write_records = 13;
getShuffleWriteRecordsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_write_records = 13;
getShuffleWriteRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double shuffle_write_records = 13;
getShuffleWriteRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double shuffle_write_records = 13;
getShuffleWriteRecordsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double shuffle_write_records = 13;
getShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: double shuffle_write_time = 32;
getShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: double shuffle_write_time = 32;
getShuffleWriteTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: double shuffle_write_time = 32;
getShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 shuffle_write_time = 37;
getShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 shuffle_write_time = 37;
getShuffleWriteTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 shuffle_write_time = 37;
getShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 shuffle_write_time = 38;
getShuffleWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 shuffle_write_time = 38;
getShuffleWriteTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 shuffle_write_time = 38;
getSimpleMessage() - Method in exception org.apache.spark.sql.AnalysisException
getSimpleName(Class<?>) - Method in interface org.apache.spark.util.SparkClassUtils: Safer than Class obj's getSimpleName which may throw Malformed class name error in scala.
getSimpleName(Class<?>) - Static method in class org.apache.spark.util.Utils
getSink() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
getSink() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
getSink() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
getSinkBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
getSinkOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
getSinkOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
getSinkOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
getSize() - Method in class org.apache.spark.ml.feature.VectorSizeHint: group getParam
getSizeAsBytes(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as bytes; throws a NoSuchElementException if it's not set.
getSizeAsBytes(String, long) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as bytes, falling back to a default if not set.
getSizeAsBytes(String, String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as bytes, falling back to a default if not set.
getSizeAsGb(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as Gibibytes; throws a NoSuchElementException if it's not set.
getSizeAsGb(String, String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as Gibibytes, falling back to a default if not set.
getSizeAsKb(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as Kibibytes; throws a NoSuchElementException if it's not set.
getSizeAsKb(String, String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as Kibibytes, falling back to a default if not set.
getSizeAsMb(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as Mebibytes; throws a NoSuchElementException if it's not set.
getSizeAsMb(String, String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a size parameter as Mebibytes, falling back to a default if not set.
getSizeForBlock(int) - Method in interface org.apache.spark.scheduler.MapStatus: Estimated size for the reduce block, in bytes.
getSizeInBytes() - Method in interface org.apache.spark.ml.linalg.Matrix: Gets the current size in bytes of this `Matrix`.
getSizeInBytes() - Method in interface org.apache.spark.ml.linalg.Vector
getSkippedStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: repeated int32 skipped_stages = 2;
getSkippedStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: repeated int32 skipped_stages = 2;
getSkippedStages(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: repeated int32 skipped_stages = 2;
getSkippedStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: repeated int32 skipped_stages = 2;
getSkippedStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: repeated int32 skipped_stages = 2;
getSkippedStagesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: repeated int32 skipped_stages = 2;
getSkippedStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: repeated int32 skipped_stages = 2;
getSkippedStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: repeated int32 skipped_stages = 2;
getSkippedStagesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: repeated int32 skipped_stages = 2;
getSlotDescs() - Method in class org.apache.spark.serializer.SerializationDebugger.ObjectStreamClassMethods
getSmoothing() - Method in interface org.apache.spark.ml.classification.NaiveBayesParams
getSmoothing() - Method in interface org.apache.spark.ml.feature.TargetEncoderBase
getSolver() - Method in interface org.apache.spark.ml.param.shared.HasSolver
getSortedTaskSetQueue() - Method in interface org.apache.spark.scheduler.Schedulable
getSources(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSources(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSources(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSourcesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.SourceProgress sources = 10;
getSparkClassLoader() - Method in interface org.apache.spark.util.SparkClassUtils
getSparkClassLoader() - Static method in class org.apache.spark.util.Utils
getSparkHome() - Method in class org.apache.spark.api.java.JavaSparkContext: Get Spark's home location from either a value set through the constructor, or the spark.home Java property, or the SPARK_HOME environment variable (in that order of preference).
getSparkOrYarnConfig(SparkConf, String, String) - Static method in class org.apache.spark.util.Utils: Return the value of a config either through the SparkConf or the Hadoop configuration.
getSparkProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkProperties(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkPropertiesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings spark_properties = 2;
getSparkUser() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string spark_user = 6;
getSparkUser() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string spark_user = 6;
getSparkUser() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string spark_user = 6;
getSparkUserBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string spark_user = 6;
getSparkUserBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string spark_user = 6;
getSparkUserBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string spark_user = 6;
getSparseSizeInBytes(boolean) - Method in interface org.apache.spark.ml.linalg.Matrix: Gets the size of the minimal sparse representation of this `Matrix`.
getSpeculationSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
getSpeculationSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
getSpeculationSummary() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
getSpeculationSummaryBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
getSpeculationSummaryOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
getSpeculationSummaryOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
getSpeculationSummaryOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
getSpeculative() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: bool speculative = 12;
getSpeculative() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: bool speculative = 12;
getSpeculative() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: bool speculative = 12;
getSpeculative() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: bool speculative = 12;
getSpeculative() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: bool speculative = 12;
getSpeculative() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: bool speculative = 12;
getSplit() - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.SplitData
getSplits() - Method in class org.apache.spark.ml.feature.Bucketizer
getSplitsArray() - Method in class org.apache.spark.ml.feature.Bucketizer
getSql() - Method in class org.apache.spark.sql.connector.catalog.DefaultValue: Returns the SQL representation of the default value (Spark SQL dialect), if provided.
getSqlExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: optional int64 sql_execution_id = 3;
getSqlExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: optional int64 sql_execution_id = 3;
getSqlExecutionId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: optional int64 sql_execution_id = 3;
getSqlState() - Method in exception org.apache.spark.SparkException
getSqlState() - Method in interface org.apache.spark.SparkThrowable: ================================================ Server side exceptions should override this method and use a provided SQL state property instead.
getSqlState() - Method in exception org.apache.spark.sql.AnalysisException
getSqlState() - Method in exception org.apache.spark.sql.streaming.StreamingQueryException
getSqlState(String) - Method in class org.apache.spark.ErrorClassesJsonReader
getSqlState(String) - Static method in class org.apache.spark.SparkThrowableHelper
getSrcCol() - Method in interface org.apache.spark.ml.clustering.PowerIterationClusteringParams
getSrid() - Method in class org.apache.spark.sql.types.Geography
getSrid() - Method in class org.apache.spark.sql.types.Geometry
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapperOrBuilder: int32 stage_attempt_id = 2;
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int32 stage_attempt_id = 41;
getStageAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int32 stage_attempt_id = 41;
getStageAttemptId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int32 stage_attempt_id = 41;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: int64 stage_id = 1;
getStageId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: int64 stage_id = 1;
getStageId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: int64 stage_id = 1;
getStageId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper: int64 stage_id = 1;
getStageId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapperOrBuilder: int64 stage_id = 1;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: int64 stage_id = 2;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: int64 stage_id = 2;
getStageId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: int64 stage_id = 2;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 stage_id = 40;
getStageId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 stage_id = 40;
getStageId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 stage_id = 40;
getStageIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated int64 stage_ids = 6;
getStageIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: repeated int64 stage_ids = 6;
getStageIds(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: repeated int64 stage_ids = 6;
getStageIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: repeated int64 stage_ids = 2;
getStageIds(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData: repeated int64 stage_ids = 2;
getStageIds(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.PoolDataOrBuilder: repeated int64 stage_ids = 2;
getStageIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated int64 stage_ids = 6;
getStageIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: repeated int64 stage_ids = 6;
getStageIdsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: repeated int64 stage_ids = 6;
getStageIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: repeated int64 stage_ids = 2;
getStageIdsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData: repeated int64 stage_ids = 2;
getStageIdsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PoolDataOrBuilder: repeated int64 stage_ids = 2;
getStageIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: repeated int64 stage_ids = 6;
getStageIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: repeated int64 stage_ids = 6;
getStageIdsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: repeated int64 stage_ids = 6;
getStageIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: repeated int64 stage_ids = 2;
getStageIdsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData: repeated int64 stage_ids = 2;
getStageIdsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PoolDataOrBuilder: repeated int64 stage_ids = 2;
getStageInfo(int) - Method in class org.apache.spark.api.java.JavaSparkStatusTracker: Returns stage information, or null if the stage info could not be found or was garbage collected.
getStageInfo(int) - Method in class org.apache.spark.SparkStatusTracker: Returns stage information, or None if the stage info could not be found or was garbage collected.
getStagePath(String, int, int, String) - Method in class org.apache.spark.ml.Pipeline.SharedReadWrite$: Get path for saving the given stage.
getStages() - Method in class org.apache.spark.ml.Pipeline
getStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated int64 stages = 12;
getStages(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated int64 stages = 12;
getStages(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated int64 stages = 12;
getStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated int64 stages = 12;
getStagesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated int64 stages = 12;
getStagesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated int64 stages = 12;
getStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: repeated int64 stages = 12;
getStagesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: repeated int64 stages = 12;
getStagesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: repeated int64 stages = 12;
getStandardization() - Method in interface org.apache.spark.ml.param.shared.HasStandardization
getStart() - Method in class org.apache.spark.sql.connector.catalog.IdentityColumnSpec
getStartOffset() - Static method in class org.apache.spark.rdd.InputFileBlockHolder: Returns the starting offset of the block currently being read, or -1 if it is unknown.
getStartOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string start_offset = 2;
getStartOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string start_offset = 2;
getStartOffset() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string start_offset = 2;
getStartOffsetBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string start_offset = 2;
getStartOffsetBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string start_offset = 2;
getStartOffsetBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string start_offset = 2;
getStartTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: int64 start_time = 2;
getStartTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: int64 start_time = 2;
getStartTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: int64 start_time = 2;
getStartTimeEpoch() - Method in class org.apache.spark.status.api.v1.ApplicationAttemptInfo
getStartTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: int64 start_timestamp = 6;
getStartTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: int64 start_timestamp = 6;
getStartTimestamp() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: int64 start_timestamp = 6;
getState() - Method in interface org.apache.spark.launcher.SparkAppHandle: Returns the current application state.
getState() - Method in class org.apache.spark.streaming.api.java.JavaStreamingContext: Deprecated.

:: DeveloperApi ::
getState() - Method in class org.apache.spark.streaming.StreamingContext: Deprecated.

:: DeveloperApi ::
getStatement() - Method in class org.apache.spark.ml.feature.SQLTransformer
getStateOperators(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperators(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperators(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStateOperatorsOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: repeated .org.apache.spark.status.protobuf.StateOperatorProgress state_operators = 9;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: .org.apache.spark.status.protobuf.JobExecutionStatus status = 8;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: .org.apache.spark.status.protobuf.JobExecutionStatus status = 8;
getStatus() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: .org.apache.spark.status.protobuf.JobExecutionStatus status = 8;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: .org.apache.spark.status.protobuf.StageStatus status = 1;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: .org.apache.spark.status.protobuf.StageStatus status = 1;
getStatus() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: .org.apache.spark.status.protobuf.StageStatus status = 1;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string status = 10;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string status = 10;
getStatus() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string status = 10;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string status = 10;
getStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string status = 10;
getStatus() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string status = 10;
getStatusBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string status = 10;
getStatusBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string status = 10;
getStatusBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string status = 10;
getStatusBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string status = 10;
getStatusBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string status = 10;
getStatusBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string status = 10;
getStatusValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: .org.apache.spark.status.protobuf.JobExecutionStatus status = 8;
getStatusValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: .org.apache.spark.status.protobuf.JobExecutionStatus status = 8;
getStatusValue() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: .org.apache.spark.status.protobuf.JobExecutionStatus status = 8;
getStatusValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: .org.apache.spark.status.protobuf.StageStatus status = 1;
getStatusValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: .org.apache.spark.status.protobuf.StageStatus status = 1;
getStatusValue() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: .org.apache.spark.status.protobuf.StageStatus status = 1;
getStderr(Process, long) - Static method in class org.apache.spark.util.Utils: Return the stderr of a process after waiting for the process to terminate.
getStep() - Method in class org.apache.spark.sql.connector.catalog.IdentityColumnSpec
getStepSize() - Method in interface org.apache.spark.ml.param.shared.HasStepSize
getStopWords() - Method in class org.apache.spark.ml.feature.StopWordsRemover
getStorageLevel() - Method in interface org.apache.spark.api.java.JavaRDDLike: Get the RDD's current storage level, or StorageLevel.NONE if none is set.
getStorageLevel() - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl
getStorageLevel() - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
getStorageLevel() - Method in class org.apache.spark.rdd.RDD: Get the RDD's current storage level, or StorageLevel.NONE if none is set.
getStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string storage_level = 2;
getStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: optional string storage_level = 2;
getStorageLevel() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: optional string storage_level = 2;
getStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string storage_level = 5;
getStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: optional string storage_level = 5;
getStorageLevel() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: optional string storage_level = 5;
getStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string storage_level = 4;
getStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string storage_level = 4;
getStorageLevel() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string storage_level = 4;
getStorageLevelBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string storage_level = 2;
getStorageLevelBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: optional string storage_level = 2;
getStorageLevelBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: optional string storage_level = 2;
getStorageLevelBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string storage_level = 5;
getStorageLevelBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: optional string storage_level = 5;
getStorageLevelBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: optional string storage_level = 5;
getStorageLevelBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string storage_level = 4;
getStorageLevelBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string storage_level = 4;
getStorageLevelBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string storage_level = 4;
GetStorageStatus$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.GetStorageStatus$
getStrategy() - Method in interface org.apache.spark.ml.feature.ImputerParams
getString(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i as a String object.
getString(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a String.
getStringArray(String) - Method in class org.apache.spark.sql.types.Metadata: Gets a String array.
getStringField(boolean, Function0<String>) - Static method in class org.apache.spark.status.protobuf.Utils
getStringIndexerOrderType() - Method in interface org.apache.spark.ml.feature.RFormulaBase
getStringOrderType() - Method in interface org.apache.spark.ml.feature.StringIndexerBase
getStruct(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of struct type as a Row object.
getStruct(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the struct type value for rowId.
getStruct(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getStruct(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getStruct(int, int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional int64 submission_time = 4;
getSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional int64 submission_time = 4;
getSubmissionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional int64 submission_time = 4;
getSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: int64 submission_time = 8;
getSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: int64 submission_time = 8;
getSubmissionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: int64 submission_time = 8;
getSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 submission_time = 10;
getSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional int64 submission_time = 10;
getSubmissionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional int64 submission_time = 10;
getSubqueryQualifier() - Static method in class org.apache.spark.sql.jdbc.JoinPushdownAliasGenerator
getSubsamplingRate() - Method in interface org.apache.spark.ml.clustering.LDAParams
getSubsamplingRate() - Method in interface org.apache.spark.ml.tree.TreeEnsembleParams
getSubsamplingRate() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getSucceededTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int32 succeeded_tasks = 3;
getSucceededTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int32 succeeded_tasks = 3;
getSucceededTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int32 succeeded_tasks = 3;
getSucceededTasks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double succeeded_tasks = 4;
getSucceededTasks(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double succeeded_tasks = 4;
getSucceededTasks(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double succeeded_tasks = 4;
getSucceededTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double succeeded_tasks = 4;
getSucceededTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double succeeded_tasks = 4;
getSucceededTasksCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double succeeded_tasks = 4;
getSucceededTasksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double succeeded_tasks = 4;
getSucceededTasksList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double succeeded_tasks = 4;
getSucceededTasksList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double succeeded_tasks = 4;
getSystemProperties() - Static method in class org.apache.spark.util.Utils: Returns the system properties map that is thread-safe to iterator over.
getSystemProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemProperties(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemProperties(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesOrBuilder(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesOrBuilder(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesOrBuilderList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getSystemPropertiesOrBuilderList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: repeated .org.apache.spark.status.protobuf.PairStrings system_properties = 4;
getTable(String) - Method in class org.apache.spark.sql.catalog.Catalog: Get the table or view with the specified name.
getTable(String, String) - Method in class org.apache.spark.sql.catalog.Catalog: Deprecated.
use getTable(tableName: String) instead. Since 4.0.0.
getTable(CatalogPlugin, Identifier, Option<TimeTravelSpec>, Option<String>) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util
getTable(StructType, Transform[], Map<String, String>) - Method in interface org.apache.spark.sql.connector.catalog.TableProvider: Return a Table instance with the specified table schema, partitioning and properties to do read/write.
getTableCommentQuery(String, String) - Method in class org.apache.spark.sql.jdbc.DerbyDialect
getTableCommentQuery(String, String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getTableCommentQuery(String, String) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getTableCommentQuery(String, String) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getTableCommentQuery(String, String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getTableExistsQuery(String) - Method in class org.apache.spark.sql.jdbc.AggregatedDialect
getTableExistsQuery(String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Get the SQL query that should be used to find if the given table exists.
getTableExistsQuery(String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getTableNames(SparkSession, String) - Static method in class org.apache.spark.sql.api.r.SQLUtils
getTableParameters(HttpServletRequest, String, String) - Method in interface org.apache.spark.ui.PagedTable: Returns parameter of this table.
getTableProviderCatalog(SupportsCatalogOptions, CatalogManager, CaseInsensitiveStringMap) - Static method in class org.apache.spark.sql.connector.catalog.CatalogV2Util
getTableSample(TableSampleInfo) - Method in class org.apache.spark.sql.jdbc.DatabricksDialect
getTableSample(TableSampleInfo) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getTableSample(TableSampleInfo) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getTableSample(TableSampleInfo) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
getTags() - Method in class org.apache.spark.sql.SparkSession: Get the operation tags that are currently set to be assigned to all the operations started by this thread in this session.
getTargetType() - Method in interface org.apache.spark.ml.feature.TargetEncoderBase
getTaskCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: int64 task_count = 4;
getTaskCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: int64 task_count = 4;
getTaskCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: int64 task_count = 4;
getTaskId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: int64 task_id = 1;
getTaskId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: int64 task_id = 1;
getTaskId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: int64 task_id = 1;
getTaskId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: int64 task_id = 1;
getTaskId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: int64 task_id = 1;
getTaskId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: int64 task_id = 1;
getTaskInfos() - Method in class org.apache.spark.BarrierTaskContext: :: Experimental :: Returns BarrierTaskInfo for all tasks in this barrier stage, ordered by partition ID.
getTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string task_locality = 11;
getTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string task_locality = 11;
getTaskLocality() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string task_locality = 11;
getTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string task_locality = 11;
getTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string task_locality = 11;
getTaskLocality() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string task_locality = 11;
getTaskLocalityBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string task_locality = 11;
getTaskLocalityBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string task_locality = 11;
getTaskLocalityBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string task_locality = 11;
getTaskLocalityBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string task_locality = 11;
getTaskLocalityBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string task_locality = 11;
getTaskLocalityBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string task_locality = 11;
getTaskMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
getTaskMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
getTaskMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
getTaskMetricsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
getTaskMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
getTaskMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
getTaskMetricsDistributions() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
getTaskMetricsDistributionsBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
getTaskMetricsDistributionsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
getTaskMetricsDistributionsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
getTaskMetricsDistributionsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
getTaskMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
getTaskMetricsOrBuilder() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
getTaskMetricsOrBuilder() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
getTaskResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: Deprecated.
getTaskResources() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: Deprecated.
getTaskResources() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: Deprecated.
getTaskResourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
getTaskResourcesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
getTaskResourcesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesOrDefault(String, StoreTypes.TaskResourceRequest) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesOrDefault(String, StoreTypes.TaskResourceRequest) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesOrDefault(String, StoreTypes.TaskResourceRequest) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesOrThrow(String) - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTaskResourcesOrThrow(String) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder: map<string, .org.apache.spark.status.protobuf.TaskResourceRequest> task_resources = 3;
getTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: Deprecated.
getTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: Deprecated.
getTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: Deprecated.
getTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
getTasksCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
getTasksCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksMap() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksMap() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksOrDefault(long, StoreTypes.TaskData) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksOrDefault(long, StoreTypes.TaskData) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksOrDefault(long, StoreTypes.TaskData) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksOrThrow(long) - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTasksOrThrow(long) - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: map<int64, .org.apache.spark.status.protobuf.TaskData> tasks = 45;
getTaskThreadDump(long, String) - Method in interface org.apache.spark.scheduler.SchedulerBackend
getTaskTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: int64 task_time = 1;
getTaskTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: int64 task_time = 1;
getTaskTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: int64 task_time = 1;
getTaskTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double task_time = 2;
getTaskTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double task_time = 2;
getTaskTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double task_time = 2;
getTaskTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double task_time = 2;
getTaskTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double task_time = 2;
getTaskTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double task_time = 2;
getTaskTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: repeated double task_time = 2;
getTaskTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: repeated double task_time = 2;
getTaskTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: repeated double task_time = 2;
getTau0() - Method in class org.apache.spark.mllib.clustering.OnlineLDAOptimizer: A (positive) learning parameter that downweights early iterations.
getThreadDump() - Static method in class org.apache.spark.util.Utils: Return a thread dump of all threads' stacktraces.
getThreadDumpForThread(long) - Static method in class org.apache.spark.util.Utils
getThreshold() - Method in class org.apache.spark.ml.classification.LogisticRegression
getThreshold() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
getThreshold() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams: Get threshold for binary classification.
getThreshold() - Method in interface org.apache.spark.ml.param.shared.HasThreshold
getThreshold() - Method in class org.apache.spark.mllib.classification.LogisticRegressionModel: Returns the threshold (if any) used for converting raw prediction scores into 0/1 predictions.
getThreshold() - Method in class org.apache.spark.mllib.classification.SVMModel: Returns the threshold (if any) used for converting raw prediction scores into 0/1 predictions.
getThresholds() - Method in class org.apache.spark.ml.classification.LogisticRegression
getThresholds() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
getThresholds() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams: Get thresholds for binary or multiclass classification.
getThresholds() - Method in interface org.apache.spark.ml.param.shared.HasThresholds
getThroughOrigin() - Method in class org.apache.spark.ml.evaluation.RegressionEvaluator
getTimeAsMs(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a time parameter as milliseconds; throws a NoSuchElementException if it's not set.
getTimeAsMs(String, String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a time parameter as milliseconds, falling back to a default if not set.
getTimeAsSeconds(String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a time parameter as seconds; throws a NoSuchElementException if it's not set.
getTimeAsSeconds(String, String) - Method in interface org.apache.spark.ReadOnlySparkConf: Get a time parameter as seconds, falling back to a default if not set.
getTimeMillis() - Method in interface org.apache.spark.util.Clock
getTimeoutTimestampMs() - Method in interface org.apache.spark.sql.streaming.TestGroupState: Returns the timestamp if setTimeoutTimestamp() is called.
getTimer(L) - Method in interface org.apache.spark.util.ListenerBus: Returns a CodaHale metrics Timer for measuring the listener's event processing time.
getTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string timestamp = 4;
getTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string timestamp = 4;
getTimestamp() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string timestamp = 4;
getTimestamp() - Method in class org.apache.spark.streaming.kinesis.KinesisInitialPositions.AtTimestamp
getTimestamp(int) - Method in interface org.apache.spark.sql.Row: Returns the value at position i of date type as java.sql.Timestamp.
getTimestampBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string timestamp = 4;
getTimestampBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string timestamp = 4;
getTimestampBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string timestamp = 4;
getTimeZoneOffset() - Static method in class org.apache.spark.ui.UIUtils
GETTING_RESULT_TIME() - Static method in class org.apache.spark.status.TaskIndexNames
GETTING_RESULT_TIME() - Static method in class org.apache.spark.ui.ToolTips
GETTING_RESULT_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
GETTING_RESULT_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
GETTING_RESULT_TIME_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
gettingResult() - Method in class org.apache.spark.scheduler.TaskInfo
gettingResultTime() - Method in class org.apache.spark.scheduler.TaskInfo: The time when the task started remotely getting the result.
gettingResultTime() - Method in class org.apache.spark.status.api.v1.TaskData
gettingResultTime() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
gettingResultTime(long, long, long) - Static method in class org.apache.spark.status.AppStatusUtils
gettingResultTime(TaskData) - Static method in class org.apache.spark.status.AppStatusUtils
getToId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder: int32 to_id = 2;
getToId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge: int32 to_id = 2;
getToId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdgeOrBuilder: int32 to_id = 2;
getToId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder: int64 to_id = 2;
getToId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge: int64 to_id = 2;
getToId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdgeOrBuilder: int64 to_id = 2;
getTol() - Method in interface org.apache.spark.ml.param.shared.HasTol
getToLowercase() - Method in class org.apache.spark.ml.feature.RegexTokenizer
getTopicConcentration() - Method in interface org.apache.spark.ml.clustering.LDAParams
getTopicConcentration() - Method in class org.apache.spark.mllib.clustering.LDA: Concentration parameter (commonly named "beta" or "eta") for the prior placed on topics' distributions over terms.
getTopicDistributionCol() - Method in interface org.apache.spark.ml.clustering.LDAParams
getTopologyForHost(String) - Method in class org.apache.spark.storage.DefaultTopologyMapper
getTopologyForHost(String) - Method in class org.apache.spark.storage.FileBasedTopologyMapper
getTopologyForHost(String) - Method in class org.apache.spark.storage.TopologyMapper: Gets the topology information given the host name
getTotalBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double total_blocks_fetched = 8;
getTotalBlocksFetched(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double total_blocks_fetched = 8;
getTotalBlocksFetched(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double total_blocks_fetched = 8;
getTotalBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double total_blocks_fetched = 8;
getTotalBlocksFetchedCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double total_blocks_fetched = 8;
getTotalBlocksFetchedCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double total_blocks_fetched = 8;
getTotalBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: repeated double total_blocks_fetched = 8;
getTotalBlocksFetchedList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: repeated double total_blocks_fetched = 8;
getTotalBlocksFetchedList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: repeated double total_blocks_fetched = 8;
getTotalCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 total_cores = 7;
getTotalCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 total_cores = 7;
getTotalCores() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 total_cores = 7;
getTotalCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: int32 total_cores = 4;
getTotalCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: int32 total_cores = 4;
getTotalCores() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: int32 total_cores = 4;
getTotalDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_duration = 13;
getTotalDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 total_duration = 13;
getTotalDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 total_duration = 13;
getTotalGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_gc_time = 14;
getTotalGcTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 total_gc_time = 14;
getTotalGcTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 total_gc_time = 14;
getTotalInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_input_bytes = 15;
getTotalInputBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 total_input_bytes = 15;
getTotalInputBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 total_input_bytes = 15;
getTotalOffHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 total_off_heap_storage_memory = 4;
getTotalOffHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics: int64 total_off_heap_storage_memory = 4;
getTotalOffHeapStorageMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.MemoryMetricsOrBuilder: int64 total_off_heap_storage_memory = 4;
getTotalOnHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 total_on_heap_storage_memory = 3;
getTotalOnHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics: int64 total_on_heap_storage_memory = 3;
getTotalOnHeapStorageMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.MemoryMetricsOrBuilder: int64 total_on_heap_storage_memory = 3;
getTotalShuffleRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_shuffle_read = 16;
getTotalShuffleRead() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 total_shuffle_read = 16;
getTotalShuffleRead() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 total_shuffle_read = 16;
getTotalShuffleWrite() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int64 total_shuffle_write = 17;
getTotalShuffleWrite() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int64 total_shuffle_write = 17;
getTotalShuffleWrite() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int64 total_shuffle_write = 17;
getTotalTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: int32 total_tasks = 12;
getTotalTasks() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: int32 total_tasks = 12;
getTotalTasks() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: int32 total_tasks = 12;
getTrainRatio() - Method in interface org.apache.spark.ml.tuning.TrainValidationSplitParams
getTree(int) - Method in interface org.apache.spark.ml.tree.TreeEnsembleModel
getTreeStrategy() - Method in class org.apache.spark.mllib.tree.configuration.BoostingStrategy
getTruncateQuery(String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: The SQL query that should be used to truncate a table.
getTruncateQuery(String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getTruncateQuery(String, Option<Object>) - Method in class org.apache.spark.sql.jdbc.AggregatedDialect: The SQL query used to truncate a table.
getTruncateQuery(String, Option<Object>) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getTruncateQuery(String, Option<Object>) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: The SQL query that should be used to truncate a table.
getTruncateQuery(String, Option<Object>) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getTruncateQuery(String, Option<Object>) - Method in class org.apache.spark.sql.jdbc.OracleDialect: The SQL query used to truncate a table.
getTruncateQuery(String, Option<Object>) - Method in class org.apache.spark.sql.jdbc.PostgresDialect: The SQL query used to truncate a table.
getTruncateQuery(String, Option<Object>) - Method in class org.apache.spark.sql.jdbc.TeradataDialect: The SQL query used to truncate a table.
getTruncateQuery$default$2() - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getTryWithCallerStacktrace(Try<T>, boolean) - Static method in class org.apache.spark.util.Utils: Retrieve the result of Try that was created by doTryWithCallerStacktrace.
getUDTFor(String) - Static method in class org.apache.spark.sql.types.UDTRegistration: Returns the Class of UserDefinedType for the name of a given user class.
getUidMap(Params) - Static method in class org.apache.spark.ml.util.MetaAlgorithmReadWrite: Examine the given estimator (which may be a compound estimator) and extract a mapping from UIDs to corresponding Params instances.
getUiRoot(ServletContext) - Static method in class org.apache.spark.status.api.v1.UIRootFromServletContext
getUpdate() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string update = 3;
getUpdate() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string update = 3;
getUpdate() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string update = 3;
getUpdateBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string update = 3;
getUpdateBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string update = 3;
getUpdateBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string update = 3;
getUpdateColumnNullabilityQuery(String, String, boolean) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getUpdateColumnNullabilityQuery(String, String, boolean) - Method in class org.apache.spark.sql.jdbc.DerbyDialect
getUpdateColumnNullabilityQuery(String, String, boolean) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getUpdateColumnNullabilityQuery(String, String, boolean) - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
getUpdateColumnNullabilityQuery(String, String, boolean) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getUpdateColumnNullabilityQuery(String, String, boolean) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getUpdateColumnNullabilityQuery(String, String, boolean) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getUpdateColumnNullabilityQuery(String, String, boolean) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
getUpdateColumnTypeQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.DB2Dialect
getUpdateColumnTypeQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect
getUpdateColumnTypeQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
getUpdateColumnTypeQuery(String, String, String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
getUpdateColumnTypeQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.OracleDialect
getUpdateColumnTypeQuery(String, String, String) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
getUpper() - Method in interface org.apache.spark.ml.feature.RobustScalerParams
getUpperBound(double) - Static method in class org.apache.spark.util.random.PoissonBounds: Returns a lambda such that Pr[X < s] is very small, where X ~ Pois(lambda).
getUpperBound(double, long, double) - Static method in class org.apache.spark.util.random.BinomialBounds: Returns a threshold p such that if we conduct n Bernoulli trials with success rate = p, it is very unlikely to have less than fraction * n successes.
getUpperBoundsOnCoefficients() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams
getUpperBoundsOnIntercepts() - Method in interface org.apache.spark.ml.classification.LogisticRegressionParams
getUriBuilder(String) - Static method in class org.apache.spark.util.Utils: Create a UriBuilder from URI string.
getUriBuilder(URI) - Static method in class org.apache.spark.util.Utils: Create a UriBuilder from URI object.
getUsedBins() - Method in class org.apache.spark.sql.util.NumericHistogram: Returns the number of bins currently being used by the histogram.
getUseDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: bool use_disk = 6;
getUseDisk() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: bool use_disk = 6;
getUseDisk() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: bool use_disk = 6;
getUsedOffHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 used_off_heap_storage_memory = 2;
getUsedOffHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics: int64 used_off_heap_storage_memory = 2;
getUsedOffHeapStorageMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.MemoryMetricsOrBuilder: int64 used_off_heap_storage_memory = 2;
getUsedOnHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder: int64 used_on_heap_storage_memory = 1;
getUsedOnHeapStorageMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics: int64 used_on_heap_storage_memory = 1;
getUsedOnHeapStorageMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.MemoryMetricsOrBuilder: int64 used_on_heap_storage_memory = 1;
getUsedTimeNs(long) - Static method in class org.apache.spark.util.Utils: Return the string to tell how long has passed in milliseconds.
getUseMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: bool use_memory = 5;
getUseMemory() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: bool use_memory = 5;
getUseMemory() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: bool use_memory = 5;
getUseNodeIdCache() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
getUserCol() - Method in interface org.apache.spark.ml.recommendation.ALSModelParams
getUserJars(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Return the jar files pointed by the "spark.jars" property.
getUTF8String(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getUTF8String(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getUTF8String(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getUTF8String(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getUTF8String(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the string type value for rowId.
getValidationIndicatorCol() - Method in interface org.apache.spark.ml.param.shared.HasValidationIndicatorCol
getValidationTol() - Method in interface org.apache.spark.ml.tree.GBTParams
getValidationTol() - Method in class org.apache.spark.mllib.tree.configuration.BoostingStrategy
getValue() - Method in class org.apache.spark.mllib.stat.test.BinarySample
getValue() - Method in class org.apache.spark.sql.connector.catalog.ColumnDefaultValue: Returns the default value literal.
getValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string value = 4;
getValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string value = 4;
getValue() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string value = 4;
getValue(int) - Method in class org.apache.spark.ml.attribute.NominalAttribute: Gets a value given its index.
getValue(K) - Method in interface org.apache.spark.sql.streaming.MapState: Function to get the state value for current grouping key and user map key.
getValue1() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value1 = 1;
getValue1() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings: optional string value1 = 1;
getValue1() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PairStringsOrBuilder: optional string value1 = 1;
getValue1Bytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value1 = 1;
getValue1Bytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings: optional string value1 = 1;
getValue1Bytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PairStringsOrBuilder: optional string value1 = 1;
getValue2() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value2 = 2;
getValue2() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings: optional string value2 = 2;
getValue2() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PairStringsOrBuilder: optional string value2 = 2;
getValue2Bytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value2 = 2;
getValue2Bytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings: optional string value2 = 2;
getValue2Bytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PairStringsOrBuilder: optional string value2 = 2;
getValueBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string value = 4;
getValueBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string value = 4;
getValueBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string value = 4;
getValueDescriptor() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel
getValueDescriptor() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.JobExecutionStatus
getValueDescriptor() - Method in enum class org.apache.spark.status.protobuf.StoreTypes.StageStatus
getValuesMap(Seq<String>) - Method in interface org.apache.spark.sql.Row: Returns a Map consisting of names and values for the requested fieldNames For primitive types if value is null it returns 'zero value' specific for primitive i.e.
getValueState(String, Encoder<T>, TTLConfig) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: Function to create new or return existing single value state variable of given type with ttl.
getValueState(String, TTLConfig, Encoder<T>) - Method in interface org.apache.spark.sql.streaming.StatefulProcessorHandle: (Scala-specific) Function to create new or return existing single value state variable of given type with ttl.
getValueVector() - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
getVarianceCol() - Method in interface org.apache.spark.ml.param.shared.HasVarianceCol
getVariancePower() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase
getVarianceThreshold() - Method in interface org.apache.spark.ml.feature.VarianceThresholdSelectorParams
getVariant(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
getVariant(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
getVariant(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
getVariant(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns the Variant value for rowId.
getVectors() - Method in class org.apache.spark.ml.feature.Word2VecModel
getVectors() - Method in class org.apache.spark.mllib.feature.Word2VecModel: Returns a map of words to their vector representations.
getVectorSize() - Method in interface org.apache.spark.ml.feature.Word2VecBase
getVendor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string vendor = 4;
getVendor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string vendor = 4;
getVendor() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string vendor = 4;
getVendorBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string vendor = 4;
getVendorBytes() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string vendor = 4;
getVendorBytes() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string vendor = 4;
getVocabSize() - Method in interface org.apache.spark.ml.feature.CountVectorizerParams
getWeightCol() - Method in interface org.apache.spark.ml.param.shared.HasWeightCol
getWidth(Row) - Static method in class org.apache.spark.ml.image.ImageSchema: Gets the width of the image
getWindowSize() - Method in interface org.apache.spark.ml.feature.Word2VecBase
getWithCentering() - Method in interface org.apache.spark.ml.feature.RobustScalerParams
getWithMean() - Method in interface org.apache.spark.ml.feature.StandardScalerParams
getWithScaling() - Method in interface org.apache.spark.ml.feature.RobustScalerParams
getWithStd() - Method in interface org.apache.spark.ml.feature.StandardScalerParams
getWrapperCase() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
getWrapperCase() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
getWrapperCase() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapperOrBuilder
getWriteBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_bytes = 1;
getWriteBytes(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_bytes = 1;
getWriteBytes(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_bytes = 1;
getWriteBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_bytes = 1;
getWriteBytesCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_bytes = 1;
getWriteBytesCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_bytes = 1;
getWriteBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_bytes = 1;
getWriteBytesList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_bytes = 1;
getWriteBytesList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_bytes = 1;
getWriteRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_records = 2;
getWriteRecords(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_records = 2;
getWriteRecords(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_records = 2;
getWriteRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_records = 2;
getWriteRecordsCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_records = 2;
getWriteRecordsCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_records = 2;
getWriteRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_records = 2;
getWriteRecordsList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_records = 2;
getWriteRecordsList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_records = 2;
getWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder: int64 write_time = 2;
getWriteTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics: int64 write_time = 2;
getWriteTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricsOrBuilder: int64 write_time = 2;
getWriteTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_time = 3;
getWriteTime(int) - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_time = 3;
getWriteTime(int) - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_time = 3;
getWriteTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_time = 3;
getWriteTimeCount() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_time = 3;
getWriteTimeCount() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_time = 3;
getWriteTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder: repeated double write_time = 3;
getWriteTimeList() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions: repeated double write_time = 3;
getWriteTimeList() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributionsOrBuilder: repeated double write_time = 3;
getYearMonthIntervalAsMonths(String) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Converts an year-month interval string to an int value months.
getYearMonthIntervalAsMonths(String) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
Gini - Class in org.apache.spark.mllib.tree.impurity: Class for calculating the Gini impurity (http://en.wikipedia.org/wiki/Decision_tree_learning#Gini_impurity) during multiclass classification.
Gini() - Constructor for class org.apache.spark.mllib.tree.impurity.Gini
GLMClassificationModel - Class in org.apache.spark.mllib.classification.impl: Helper class for import/export of GLM classification models.
GLMClassificationModel() - Constructor for class org.apache.spark.mllib.classification.impl.GLMClassificationModel
GLMClassificationModel.SaveLoadV1_0$ - Class in org.apache.spark.mllib.classification.impl
GLMClassificationModel.SaveLoadV1_0$.Data - Class in org.apache.spark.mllib.classification.impl: Model data for import/export
GLMClassificationModel.SaveLoadV1_0$.Data$ - Class in org.apache.spark.mllib.classification.impl
GLMRegressionModel - Class in org.apache.spark.mllib.regression.impl: Helper methods for import/export of GLM regression models.
GLMRegressionModel() - Constructor for class org.apache.spark.mllib.regression.impl.GLMRegressionModel
GLMRegressionModel.SaveLoadV1_0$ - Class in org.apache.spark.mllib.regression.impl
GLMRegressionModel.SaveLoadV1_0$.Data - Class in org.apache.spark.mllib.regression.impl: Model data for model import/export
GLMRegressionModel.SaveLoadV1_0$.Data$ - Class in org.apache.spark.mllib.regression.impl
glom() - Method in interface org.apache.spark.api.java.JavaRDDLike: Return an RDD created by coalescing all elements within each partition into an array.
glom() - Method in class org.apache.spark.rdd.RDD: Return an RDD created by coalescing all elements within each partition into an array.
glom() - Method in interface org.apache.spark.streaming.api.java.JavaDStreamLike: Return a new DStream in which each RDD is generated by applying glom() to each RDD of this DStream.
glom() - Method in class org.apache.spark.streaming.dstream.DStream: Return a new DStream in which each RDD is generated by applying glom() to each RDD of this DStream.
goButtonFormPath() - Method in interface org.apache.spark.ui.PagedTable: Returns the submission path for the "go to page #" form.
goodnessOfFit() - Method in class org.apache.spark.mllib.stat.test.ChiSqTest.NullHypothesis$
GPU() - Static method in class org.apache.spark.resource.ResourceUtils
grad() - Method in class org.apache.spark.mllib.optimization.NNLS.Workspace
grad(DenseMatrix<Object>, DenseMatrix<Object>, DenseVector<Object>) - Method in interface org.apache.spark.ml.ann.LayerModel: Computes the gradient.
gradient() - Method in interface org.apache.spark.ml.optim.aggregator.DifferentiableLossAggregator: The current weighted averaged gradient.
gradient(double, double) - Static method in class org.apache.spark.mllib.tree.loss.AbsoluteError: Method to calculate the gradients for the gradient boosting calculation for least absolute error calculation.
gradient(double, double) - Static method in class org.apache.spark.mllib.tree.loss.LogLoss: Method to calculate the loss gradients for the gradient boosting calculation for binary classification The gradient with respect to F(x) is: - 4 y / (1 + exp(2 y F(x)))
gradient(double, double) - Method in interface org.apache.spark.mllib.tree.loss.Loss: Method to calculate the gradients for the gradient boosting calculation.
gradient(double, double) - Static method in class org.apache.spark.mllib.tree.loss.SquaredError: Method to calculate the gradients for the gradient boosting calculation for least squares error calculation.
Gradient - Class in org.apache.spark.mllib.optimization: Class used to compute the gradient for a loss function, given a single data point.
Gradient() - Constructor for class org.apache.spark.mllib.optimization.Gradient
GradientBoostedTrees - Class in org.apache.spark.ml.tree.impl
GradientBoostedTrees - Class in org.apache.spark.mllib.tree: A class that implements Stochastic Gradient Boosting for regression and binary classification.
GradientBoostedTrees() - Constructor for class org.apache.spark.ml.tree.impl.GradientBoostedTrees
GradientBoostedTrees(BoostingStrategy) - Constructor for class org.apache.spark.mllib.tree.GradientBoostedTrees
GradientBoostedTreesModel - Class in org.apache.spark.mllib.tree.model: Represents a gradient boosted trees model.
GradientBoostedTreesModel(Enumeration.Value, DecisionTreeModel[], double[]) - Constructor for class org.apache.spark.mllib.tree.model.GradientBoostedTreesModel
GradientDescent - Class in org.apache.spark.mllib.optimization: Class used to solve an optimization problem using Gradient Descent.
gradientSumArray() - Method in interface org.apache.spark.ml.optim.aggregator.DifferentiableLossAggregator: Array of gradient values that are mutated when new instances are added to the aggregator.
Graph<VD,ED> - Class in org.apache.spark.graphx: The Graph abstractly represents a graph with arbitrary objects associated with vertices and edges.
GraphGenerators - Class in org.apache.spark.graphx.util: A collection of graph generating functions.
GraphGenerators() - Constructor for class org.apache.spark.graphx.util.GraphGenerators
GraphImpl<VD,ED> - Class in org.apache.spark.graphx.impl: An implementation of Graph to support computation on graphs.
GraphLoader - Class in org.apache.spark.graphx: Provides utilities for loading Graphs from files.
GraphLoader() - Constructor for class org.apache.spark.graphx.GraphLoader
GraphOps<VD,ED> - Class in org.apache.spark.graphx: Contains additional functionality for Graph.
GraphOps(Graph<VD, ED>, ClassTag<VD>, ClassTag<ED>) - Constructor for class org.apache.spark.graphx.GraphOps
graphToGraphOps(Graph<VD, ED>, ClassTag<VD>, ClassTag<ED>) - Static method in class org.apache.spark.graphx.Graph: Implicitly extracts the GraphOps member from a graph.
GraphXUtils - Class in org.apache.spark.graphx
GraphXUtils() - Constructor for class org.apache.spark.graphx.GraphXUtils
greater(Duration) - Method in class org.apache.spark.streaming.Duration
greater(Time) - Method in class org.apache.spark.streaming.Time
greaterEq(Duration) - Method in class org.apache.spark.streaming.Duration
greaterEq(Time) - Method in class org.apache.spark.streaming.Time
GreaterThan - Class in org.apache.spark.sql.sources: A filter that evaluates to true iff the attribute evaluates to a value greater than value.
GreaterThan(String, Object) - Constructor for class org.apache.spark.sql.sources.GreaterThan
GreaterThanOrEqual - Class in org.apache.spark.sql.sources: A filter that evaluates to true iff the attribute evaluates to a value greater than or equal to value.
GreaterThanOrEqual(String, Object) - Constructor for class org.apache.spark.sql.sources.GreaterThanOrEqual
greatest(String, String...) - Static method in class org.apache.spark.sql.functions: Returns the greatest value of the list of column names, skipping null values.
greatest(String, Seq<String>) - Static method in class org.apache.spark.sql.functions: Returns the greatest value of the list of column names, skipping null values.
greatest(Column...) - Static method in class org.apache.spark.sql.functions: Returns the greatest value of the list of values, skipping null values.
greatest(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Returns the greatest value of the list of values, skipping null values.
gridGraph(SparkContext, int, int) - Static method in class org.apache.spark.graphx.util.GraphGenerators: Create rows by cols grid graph with each vertex connected to its row+1 and col+1 neighbors.
groupArr() - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer
groupBy(String, String...) - Method in class org.apache.spark.sql.Dataset: Groups the Dataset using the specified columns, so that we can run aggregation on them.
groupBy(String, Seq<String>) - Method in class org.apache.spark.sql.Dataset: Groups the Dataset using the specified columns, so that we can run aggregation on them.
groupBy(Function<T, U>) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return an RDD of grouped elements.
groupBy(Function<T, U>, int) - Method in interface org.apache.spark.api.java.JavaRDDLike: Return an RDD of grouped elements.
groupBy(Column...) - Method in class org.apache.spark.sql.Dataset: Groups the Dataset using the specified columns, so we can run aggregation on them.
groupBy(Seq<Column>) - Method in class org.apache.spark.sql.Dataset: Groups the Dataset using the specified columns, so we can run aggregation on them.
groupBy(Function1<T, K>, int, ClassTag<K>) - Method in class org.apache.spark.rdd.RDD: Return an RDD of grouped elements.
groupBy(Function1<T, K>, Partitioner, ClassTag<K>, Ordering<K>) - Method in class org.apache.spark.rdd.RDD: Return an RDD of grouped items.
groupBy(Function1<T, K>, ClassTag<K>) - Method in class org.apache.spark.rdd.RDD: Return an RDD of grouped items.
groupByExpressions() - Method in record class org.apache.spark.sql.connector.expressions.aggregate.Aggregation: Returns the value of the groupByExpressions record component.
groupByKey() - Method in class org.apache.spark.api.java.JavaPairRDD: Group the values for each key in the RDD into a single sequence.
groupByKey() - Method in class org.apache.spark.rdd.PairRDDFunctions: Group the values for each key in the RDD into a single sequence.
groupByKey() - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying groupByKey to each RDD.
groupByKey() - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying groupByKey to each RDD.
groupByKey(int) - Method in class org.apache.spark.api.java.JavaPairRDD: Group the values for each key in the RDD into a single sequence.
groupByKey(int) - Method in class org.apache.spark.rdd.PairRDDFunctions: Group the values for each key in the RDD into a single sequence.
groupByKey(int) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying groupByKey to each RDD.
groupByKey(int) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying groupByKey to each RDD.
groupByKey(MapFunction<T, K>, Encoder<K>) - Method in class org.apache.spark.sql.Dataset: (Java-specific) Returns a KeyValueGroupedDataset where the data is grouped by the given key func.
groupByKey(Partitioner) - Method in class org.apache.spark.api.java.JavaPairRDD: Group the values for each key in the RDD into a single sequence.
groupByKey(Partitioner) - Method in class org.apache.spark.rdd.PairRDDFunctions: Group the values for each key in the RDD into a single sequence.
groupByKey(Partitioner) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying groupByKey on each RDD of this DStream.
groupByKey(Partitioner) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying groupByKey on each RDD.
groupByKey(Function1<T, K>, Encoder<K>) - Method in class org.apache.spark.sql.Dataset: (Scala-specific) Returns a KeyValueGroupedDataset where the data is grouped by the given key func.
groupByKeyAndWindow(Duration) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying groupByKey over a sliding window.
groupByKeyAndWindow(Duration) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying groupByKey over a sliding window.
groupByKeyAndWindow(Duration, Duration) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying groupByKey over a sliding window.
groupByKeyAndWindow(Duration, Duration) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying groupByKey over a sliding window.
groupByKeyAndWindow(Duration, Duration, int) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying groupByKey over a sliding window on this DStream.
groupByKeyAndWindow(Duration, Duration, int) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Return a new DStream by applying groupByKey over a sliding window on this DStream.
groupByKeyAndWindow(Duration, Duration, Partitioner) - Method in class org.apache.spark.streaming.api.java.JavaPairDStream: Return a new DStream by applying groupByKey over a sliding window on this DStream.
groupByKeyAndWindow(Duration, Duration, Partitioner) - Method in class org.apache.spark.streaming.dstream.PairDStreamFunctions: Create a new DStream by applying groupByKey over a sliding window on this DStream.
groupEdges(Function2<ED, ED, ED>) - Method in class org.apache.spark.graphx.Graph: Merges multiple edges between two vertices into a single edge.
groupEdges(Function2<ED, ED, ED>) - Method in class org.apache.spark.graphx.impl.GraphImpl
groupHash() - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer
grouping(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: indicates whether a specified column in a GROUP BY list is aggregated or not, returns 1 for aggregated or 0 for not aggregated in the result set.
grouping(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: indicates whether a specified column in a GROUP BY list is aggregated or not, returns 1 for aggregated or 0 for not aggregated in the result set.
grouping_id(String, String...) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the level of grouping, equals to
grouping_id(String, Seq<String>) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the level of grouping, equals to
grouping_id(Column...) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the level of grouping, equals to
grouping_id(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the level of grouping, equals to
groupingSets(Seq<Seq<Column>>, Column...) - Method in class org.apache.spark.sql.Dataset: Create multi-dimensional aggregation for the current Dataset using the specified grouping sets, so we can run aggregation on them.
groupingSets(Seq<Seq<Column>>, Seq<Column>) - Method in class org.apache.spark.sql.Dataset: Create multi-dimensional aggregation for the current Dataset using the specified grouping sets, so we can run aggregation on them.
GroupMappingServiceProvider - Interface in org.apache.spark.security: This Spark trait is used for mapping a given userName to a set of groups which it belongs to.
GroupState<S> - Interface in org.apache.spark.sql.streaming: :: Experimental ::
GroupStateTimeout - Class in org.apache.spark.sql.streaming: Represents the type of timeouts possible for the Dataset operations mapGroupsWithState and flatMapGroupsWithState.
GroupStateTimeout() - Constructor for class org.apache.spark.sql.streaming.GroupStateTimeout
groupWith(JavaPairRDD<K, W>) - Method in class org.apache.spark.api.java.JavaPairRDD: Alias for cogroup.
groupWith(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>) - Method in class org.apache.spark.api.java.JavaPairRDD: Alias for cogroup.
groupWith(JavaPairRDD<K, W1>, JavaPairRDD<K, W2>, JavaPairRDD<K, W3>) - Method in class org.apache.spark.api.java.JavaPairRDD: Alias for cogroup.
groupWith(RDD<Tuple2<K, W>>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Alias for cogroup.
groupWith(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Alias for cogroup.
groupWith(RDD<Tuple2<K, W1>>, RDD<Tuple2<K, W2>>, RDD<Tuple2<K, W3>>) - Method in class org.apache.spark.rdd.PairRDDFunctions: Alias for cogroup.
gt(double) - Static method in class org.apache.spark.ml.param.ParamValidators: Check if value is greater than lowerBound
gt(Object) - Method in class org.apache.spark.sql.Column: Greater than.
gt(T, T) - Static method in class org.apache.spark.sql.types.ByteExactNumeric
gt(T, T) - Static method in class org.apache.spark.sql.types.DecimalExactNumeric
gt(T, T) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
gt(T, T) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
gt(T, T) - Static method in class org.apache.spark.sql.types.IntegerExactNumeric
gt(T, T) - Static method in class org.apache.spark.sql.types.LongExactNumeric
gt(T, T) - Static method in class org.apache.spark.sql.types.ShortExactNumeric
gt(T, T) - Static method in class org.apache.spark.sql.types.StringHelper
gteq(StringConstraint, StringConstraint) - Static method in class org.apache.spark.sql.types.StringHelper
gteq(T, T) - Static method in class org.apache.spark.sql.types.ByteExactNumeric
gteq(T, T) - Static method in class org.apache.spark.sql.types.DecimalExactNumeric
gteq(T, T) - Static method in class org.apache.spark.sql.types.DoubleExactNumeric
gteq(T, T) - Static method in class org.apache.spark.sql.types.FloatExactNumeric
gteq(T, T) - Static method in class org.apache.spark.sql.types.IntegerExactNumeric
gteq(T, T) - Static method in class org.apache.spark.sql.types.LongExactNumeric
gteq(T, T) - Static method in class org.apache.spark.sql.types.ShortExactNumeric
gtEq(double) - Static method in class org.apache.spark.ml.param.ParamValidators: Check if value is greater than or equal to lowerBound
guard(Function0<Parsers.Parser<T>>) - Static method in class org.apache.spark.ml.feature.RFormulaParser

H

HADOOP_PROPERTIES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
HadoopCodecStreams - Class in org.apache.spark.io: An utility object to look up Hadoop compression codecs and create input streams.
HadoopCodecStreams() - Constructor for class org.apache.spark.io.HadoopCodecStreams
hadoopConfiguration() - Method in class org.apache.spark.api.java.JavaSparkContext: Returns the Hadoop configuration used for the Hadoop code (e.g.
hadoopConfiguration() - Method in class org.apache.spark.SparkContext: A default Hadoop Configuration for the Hadoop code (e.g.
hadoopDelegationCreds() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.SparkAppConfig
HadoopDelegationTokenProvider - Interface in org.apache.spark.security: ::DeveloperApi:: Hadoop delegation token provider.
hadoopFile(String, int, ClassTag<K>, ClassTag<V>, ClassTag<F>) - Method in class org.apache.spark.SparkContext: Smarter version of hadoopFile() that uses class tags to figure out the classes of keys, values and the InputFormat so that users don't need to pass them directly.
hadoopFile(String, Class<? extends InputFormat<K, V>>, Class<K>, Class<V>, int) - Method in class org.apache.spark.SparkContext: Get an RDD for a Hadoop file with an arbitrary InputFormat
hadoopFile(String, Class<F>, Class<K>, Class<V>) - Method in class org.apache.spark.api.java.JavaSparkContext: Get an RDD for a Hadoop file with an arbitrary InputFormat
hadoopFile(String, Class<F>, Class<K>, Class<V>, int) - Method in class org.apache.spark.api.java.JavaSparkContext: Get an RDD for a Hadoop file with an arbitrary InputFormat.
hadoopFile(String, ClassTag<K>, ClassTag<V>, ClassTag<F>) - Method in class org.apache.spark.SparkContext: Smarter version of hadoopFile() that uses class tags to figure out the classes of keys, values and the InputFormat so that users don't need to pass them directly.
HadoopFSUtils - Class in org.apache.spark.util: Utility functions to simplify and speed-up file listing.
HadoopFSUtils() - Constructor for class org.apache.spark.util.HadoopFSUtils
HadoopMapPartitionsWithSplitRDD$() - Constructor for class org.apache.spark.rdd.HadoopRDD.HadoopMapPartitionsWithSplitRDD$
hadoopProperties() - Method in class org.apache.spark.status.api.v1.ApplicationEnvironmentInfo
hadoopRDD(JobConf, Class<? extends InputFormat<K, V>>, Class<K>, Class<V>, int) - Method in class org.apache.spark.SparkContext: Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf given its InputFormat and other necessary info (e.g.
hadoopRDD(JobConf, Class<F>, Class<K>, Class<V>) - Method in class org.apache.spark.api.java.JavaSparkContext: Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf giving its InputFormat and any other necessary info (e.g.
hadoopRDD(JobConf, Class<F>, Class<K>, Class<V>, int) - Method in class org.apache.spark.api.java.JavaSparkContext: Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf giving its InputFormat and any other necessary info (e.g.
HadoopRDD<K,V> - Class in org.apache.spark.rdd: :: DeveloperApi :: An RDD that provides core functionality for reading data stored in Hadoop (e.g., files in HDFS, sources in HBase, or S3), using the older MapReduce API (org.apache.hadoop.mapred).
HadoopRDD(SparkContext, JobConf, Class<? extends InputFormat<K, V>>, Class<K>, Class<V>, int) - Constructor for class org.apache.spark.rdd.HadoopRDD
HadoopRDD(SparkContext, Broadcast<SerializableConfiguration>, Option<Function1<JobConf, BoxedUnit>>, Class<? extends InputFormat<K, V>>, Class<K>, Class<V>, int) - Constructor for class org.apache.spark.rdd.HadoopRDD
HadoopRDD(SparkContext, Broadcast<SerializableConfiguration>, Option<Function1<JobConf, BoxedUnit>>, Class<? extends InputFormat<K, V>>, Class<K>, Class<V>, int, boolean, boolean) - Constructor for class org.apache.spark.rdd.HadoopRDD
HadoopRDD.HadoopMapPartitionsWithSplitRDD$ - Class in org.apache.spark.rdd
hammingLoss() - Method in class org.apache.spark.mllib.evaluation.MulticlassMetrics
hammingLoss() - Method in class org.apache.spark.mllib.evaluation.MultilabelMetrics: Returns Hamming-loss
handle(Request, Response, Callback) - Method in class org.apache.spark.ui.ProxyRedirectHandler
handleExpiredTimer(K, TimerValues, ExpiredTimerInfo) - Method in class org.apache.spark.sql.streaming.StatefulProcessor: Function that will be invoked when a timer is fired for a given key.
handleInitialState(K, S, TimerValues) - Method in class org.apache.spark.sql.streaming.StatefulProcessorWithInitialState: Function that will be invoked only in the first batch for users to process initial states.
handleInputRows(K, Iterator, TimerValues) - Method in class org.apache.spark.sql.streaming.StatefulProcessor: Function that will allow users to interact with input data rows along with the grouping key and current timer values and optionally provide output rows.
handleInvalid() - Method in class org.apache.spark.ml.feature.Bucketizer: Param for how to handle invalid entries containing NaN values.
handleInvalid() - Method in class org.apache.spark.ml.feature.OneHotEncoder
handleInvalid() - Method in interface org.apache.spark.ml.feature.OneHotEncoderBase: Param for how to handle invalid data during transform().
handleInvalid() - Method in class org.apache.spark.ml.feature.OneHotEncoderModel
handleInvalid() - Method in class org.apache.spark.ml.feature.QuantileDiscretizer
handleInvalid() - Method in interface org.apache.spark.ml.feature.QuantileDiscretizerBase: Param for how to handle invalid entries.
handleInvalid() - Method in class org.apache.spark.ml.feature.RFormula
handleInvalid() - Method in interface org.apache.spark.ml.feature.RFormulaBase: Param for how to handle invalid data (unseen or NULL values) in features and label column of string type.
handleInvalid() - Method in class org.apache.spark.ml.feature.RFormulaModel
handleInvalid() - Method in class org.apache.spark.ml.feature.StringIndexer
handleInvalid() - Method in interface org.apache.spark.ml.feature.StringIndexerBase: Param for how to handle invalid data (unseen labels or NULL values).
handleInvalid() - Method in class org.apache.spark.ml.feature.StringIndexerModel
handleInvalid() - Method in class org.apache.spark.ml.feature.TargetEncoder
handleInvalid() - Method in interface org.apache.spark.ml.feature.TargetEncoderBase: Param for how to handle invalid data during transform().
handleInvalid() - Method in class org.apache.spark.ml.feature.TargetEncoderModel
handleInvalid() - Method in class org.apache.spark.ml.feature.VectorAssembler: Param for how to handle invalid data (NULL values).
handleInvalid() - Method in class org.apache.spark.ml.feature.VectorIndexer
handleInvalid() - Method in class org.apache.spark.ml.feature.VectorIndexerModel
handleInvalid() - Method in interface org.apache.spark.ml.feature.VectorIndexerParams: Param for how to handle invalid data (unseen labels or NULL values).
handleInvalid() - Method in class org.apache.spark.ml.feature.VectorSizeHint: Param for how to handle invalid entries.
handleInvalid() - Method in interface org.apache.spark.ml.param.shared.HasHandleInvalid: Param for how to handle invalid entries.
HAS_METRICS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
hasAccumulators(StageData) - Static method in class org.apache.spark.ui.jobs.ApiHelper
hasAddress() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional string address = 1;
hasAddress() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional string address = 1;
hasAddress() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional string address = 1;
HasAggregationDepth - Interface in org.apache.spark.ml.param.shared: Trait for shared param aggregationDepth (default: 2).
hasAppSparkVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string app_spark_version = 8;
hasAppSparkVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string app_spark_version = 8;
hasAppSparkVersion() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string app_spark_version = 8;
hasAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string attempt_id = 1;
hasAttemptId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string attempt_id = 1;
hasAttemptId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string attempt_id = 1;
hasAttr(String) - Method in class org.apache.spark.ml.attribute.AttributeGroup: Test whether this attribute group contains a specific attribute.
hasBlockName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string block_name = 1;
hasBlockName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: optional string block_name = 1;
hasBlockName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: optional string block_name = 1;
HasBlockSize - Interface in org.apache.spark.ml.param.shared: Trait for shared param blockSize.
hasBytesSpilled(StageData) - Static method in class org.apache.spark.ui.jobs.ApiHelper
hasCachedSerializedBroadcast() - Method in class org.apache.spark.ShuffleStatus
hasCallsite() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string callsite = 5;
hasCallsite() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: optional string callsite = 5;
hasCallsite() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: optional string callsite = 5;
HasCheckpointInterval - Interface in org.apache.spark.ml.param.shared: Trait for shared param checkpointInterval.
hasCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
hasCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
hasCluster() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapperOrBuilder: .org.apache.spark.status.protobuf.SparkPlanGraphClusterWrapper cluster = 2;
HasCollectSubModels - Interface in org.apache.spark.ml.param.shared: Trait for shared param collectSubModels (default: false).
hasCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional int64 completion_time = 5;
hasCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional int64 completion_time = 5;
hasCompletionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional int64 completion_time = 5;
hasCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional int64 completion_time = 9;
hasCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional int64 completion_time = 9;
hasCompletionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional int64 completion_time = 9;
hasCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 completion_time = 12;
hasCompletionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional int64 completion_time = 12;
hasCompletionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional int64 completion_time = 12;
hasCoresGranted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 cores_granted = 3;
hasCoresGranted() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 cores_granted = 3;
hasCoresGranted() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 cores_granted = 3;
hasCoresPerExecutor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 cores_per_executor = 5;
hasCoresPerExecutor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 cores_per_executor = 5;
hasCoresPerExecutor() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 cores_per_executor = 5;
hasDefault(Param<T>) - Method in interface org.apache.spark.ml.param.Params: Tests whether the input param has a default value set.
hasDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string desc = 3;
hasDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: optional string desc = 3;
hasDesc() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: optional string desc = 3;
hasDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string desc = 3;
hasDesc() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: optional string desc = 3;
hasDesc() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: optional string desc = 3;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string description = 3;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string description = 3;
hasDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string description = 3;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder: optional string description = 1;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress: optional string description = 1;
hasDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder: optional string description = 1;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string description = 1;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string description = 1;
hasDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string description = 1;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string description = 3;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string description = 3;
hasDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string description = 3;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string description = 40;
hasDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string description = 40;
hasDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string description = 40;
hasDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string details = 4;
hasDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string details = 4;
hasDetails() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string details = 4;
hasDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string details = 41;
hasDetails() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string details = 41;
hasDetails() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string details = 41;
hasDiscoveryScript() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string discovery_script = 3;
hasDiscoveryScript() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string discovery_script = 3;
hasDiscoveryScript() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string discovery_script = 3;
HasDistanceMeasure - Interface in org.apache.spark.ml.param.shared: Trait for shared param distanceMeasure (default: "euclidean").
hasDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional int64 duration = 7;
hasDuration() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional int64 duration = 7;
hasDuration() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional int64 duration = 7;
HasElasticNetParam - Interface in org.apache.spark.ml.param.shared: Trait for shared param elasticNetParam.
hasEndOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string end_offset = 3;
hasEndOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string end_offset = 3;
hasEndOffset() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string end_offset = 3;
hasEndTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional int64 end_timestamp = 7;
hasEndTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional int64 end_timestamp = 7;
hasEndTimestamp() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional int64 end_timestamp = 7;
hasErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string error_message = 10;
hasErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string error_message = 10;
hasErrorMessage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string error_message = 10;
hasErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string error_message = 14;
hasErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string error_message = 14;
hasErrorMessage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string error_message = 14;
hasErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string error_message = 14;
hasErrorMessage() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string error_message = 14;
hasErrorMessage() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string error_message = 14;
hasException() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string exception = 5;
hasException() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string exception = 5;
hasException() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string exception = 5;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: optional string executor_id = 3;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: optional string executor_id = 3;
hasExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: optional string executor_id = 3;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string executor_id = 2;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string executor_id = 2;
hasExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string executor_id = 2;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string executor_id = 8;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string executor_id = 8;
hasExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string executor_id = 8;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string executor_id = 8;
hasExecutorId() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string executor_id = 8;
hasExecutorId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string executor_id = 8;
hasExecutorMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
hasExecutorMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
hasExecutorMetricsDistributions() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetricsDistributions executor_metrics_distributions = 52;
hasFailureReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string failure_reason = 13;
hasFailureReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string failure_reason = 13;
hasFailureReason() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string failure_reason = 13;
HasFeaturesCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param featuresCol (default: "features").
hasFirstTaskLaunchedTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 first_task_launched_time = 11;
hasFirstTaskLaunchedTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional int64 first_task_launched_time = 11;
hasFirstTaskLaunchedTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional int64 first_task_launched_time = 11;
HasFitIntercept - Interface in org.apache.spark.ml.param.shared: Trait for shared param fitIntercept (default: true).
hash() - Method in class org.apache.spark.storage.CacheId
hash(Column...) - Static method in class org.apache.spark.sql.functions: Calculates the hash code of given columns, and returns the result as an int column.
hash(Seq<Column>) - Static method in class org.apache.spark.sql.functions: Calculates the hash code of given columns, and returns the result as an int column.
HasHandleInvalid - Interface in org.apache.spark.ml.param.shared: Trait for shared param handleInvalid.
hashCode() - Method in class org.apache.spark.api.java.Optional
hashCode() - Method in class org.apache.spark.BreakingChangeInfo
hashCode() - Method in class org.apache.spark.graphx.EdgeDirection
hashCode() - Method in class org.apache.spark.HashPartitioner
hashCode() - Method in class org.apache.spark.MitigationConfig
hashCode() - Method in class org.apache.spark.ml.attribute.AttributeGroup
hashCode() - Method in class org.apache.spark.ml.attribute.BinaryAttribute
hashCode() - Method in class org.apache.spark.ml.attribute.NominalAttribute
hashCode() - Method in class org.apache.spark.ml.attribute.NumericAttribute
hashCode() - Method in class org.apache.spark.ml.linalg.DenseMatrix
hashCode() - Method in class org.apache.spark.ml.linalg.DenseVector
hashCode() - Method in class org.apache.spark.ml.linalg.SparseMatrix
hashCode() - Method in class org.apache.spark.ml.linalg.SparseVector
hashCode() - Method in interface org.apache.spark.ml.linalg.Vector: Returns a hash code value for the vector.
hashCode() - Method in class org.apache.spark.ml.param.Param
hashCode() - Method in class org.apache.spark.ml.tree.CategoricalSplit
hashCode() - Method in class org.apache.spark.ml.tree.ContinuousSplit
hashCode() - Method in class org.apache.spark.mllib.linalg.DenseMatrix
hashCode() - Method in class org.apache.spark.mllib.linalg.DenseVector
hashCode() - Method in class org.apache.spark.mllib.linalg.SparseMatrix
hashCode() - Method in class org.apache.spark.mllib.linalg.SparseVector
hashCode() - Method in interface org.apache.spark.mllib.linalg.Vector: Returns a hash code value for the vector.
hashCode() - Method in class org.apache.spark.mllib.linalg.VectorUDT
hashCode() - Method in class org.apache.spark.mllib.tree.model.InformationGainStats
hashCode() - Method in class org.apache.spark.mllib.tree.model.Predict
hashCode() - Method in class org.apache.spark.partial.BoundedDouble
hashCode() - Method in interface org.apache.spark.Partition
hashCode() - Method in class org.apache.spark.RangePartitioner
hashCode() - Method in class org.apache.spark.resource.ExecutorResourceRequest
hashCode() - Method in class org.apache.spark.resource.ResourceID
hashCode() - Method in class org.apache.spark.resource.ResourceInformation
hashCode() - Method in class org.apache.spark.resource.ResourceProfile
hashCode() - Method in class org.apache.spark.resource.ResourceRequest
hashCode() - Method in class org.apache.spark.resource.TaskResourceRequest
hashCode() - Method in class org.apache.spark.scheduler.cluster.ExecutorInfo
hashCode() - Method in class org.apache.spark.scheduler.InputFormatInfo
hashCode() - Method in class org.apache.spark.scheduler.SplitInfo
hashCode() - Method in class org.apache.spark.sql.Column
hashCode() - Method in class org.apache.spark.sql.connector.catalog.ColumnDefaultValue
hashCode() - Method in class org.apache.spark.sql.connector.catalog.constraints.Check
hashCode() - Method in class org.apache.spark.sql.connector.catalog.constraints.ForeignKey
hashCode() - Method in class org.apache.spark.sql.connector.catalog.constraints.PrimaryKey
hashCode() - Method in class org.apache.spark.sql.connector.catalog.constraints.Unique
hashCode() - Method in class org.apache.spark.sql.connector.catalog.DefaultValue
hashCode() - Method in class org.apache.spark.sql.connector.catalog.IdentityColumnSpec
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddColumn
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddConstraint
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.After
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.ClusterBy
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.DeleteColumn
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.DropConstraint
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.RemoveProperty
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.RenameColumn
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.SetProperty
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnComment
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnDefaultValue
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnNullability
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnPosition
hashCode() - Method in class org.apache.spark.sql.connector.catalog.TableChange.UpdateColumnType
hashCode() - Method in class org.apache.spark.sql.connector.catalog.ViewInfo
hashCode() - Method in record class org.apache.spark.sql.connector.expressions.aggregate.Aggregation: Returns a hash code value for this object.
hashCode() - Method in class org.apache.spark.sql.connector.expressions.aggregate.GeneralAggregateFunc
hashCode() - Method in class org.apache.spark.sql.connector.expressions.aggregate.UserDefinedAggregateFunc
hashCode() - Method in class org.apache.spark.sql.connector.expressions.Cast
hashCode() - Method in class org.apache.spark.sql.connector.expressions.GeneralScalarExpression
hashCode() - Method in class org.apache.spark.sql.connector.expressions.UserDefinedScalarFunc
hashCode() - Method in class org.apache.spark.sql.connector.read.streaming.CompositeReadLimit
hashCode() - Method in class org.apache.spark.sql.connector.read.streaming.Offset
hashCode() - Method in class org.apache.spark.sql.connector.read.streaming.ReadMaxBytes
hashCode() - Method in class org.apache.spark.sql.connector.read.streaming.ReadMaxFiles
hashCode() - Method in class org.apache.spark.sql.connector.read.streaming.ReadMaxRows
hashCode() - Method in class org.apache.spark.sql.connector.read.streaming.ReadMinRows
hashCode() - Method in record class org.apache.spark.sql.connector.read.SupportsPushDownJoin.ColumnWithAlias: Returns a hash code value for this object.
hashCode() - Method in interface org.apache.spark.sql.Row
hashCode() - Static method in class org.apache.spark.sql.sources.AlwaysFalse
hashCode() - Static method in class org.apache.spark.sql.sources.AlwaysTrue
hashCode() - Method in class org.apache.spark.sql.sources.In
hashCode() - Method in class org.apache.spark.sql.types.Decimal
hashCode() - Method in class org.apache.spark.sql.types.Geography
hashCode() - Method in class org.apache.spark.sql.types.GeographyType: The hash code of the GeographyType is derived from its SRID value.
hashCode() - Method in class org.apache.spark.sql.types.Geometry
hashCode() - Method in class org.apache.spark.sql.types.GeometryType: The hash code of the GeometryType is derived from its SRID value.
hashCode() - Static method in class org.apache.spark.sql.types.IndeterminateStringType
hashCode() - Method in class org.apache.spark.sql.types.Metadata
hashCode() - Method in class org.apache.spark.sql.types.StringType
hashCode() - Method in class org.apache.spark.sql.types.StructType
hashCode() - Method in class org.apache.spark.sql.types.UserDefinedType
hashCode() - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
hashCode() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
hashCode() - Method in class org.apache.spark.storage.BlockManagerId
hashCode() - Method in class org.apache.spark.storage.StorageLevel
hashCode() - Method in class org.apache.spark.unsafe.types.CalendarInterval
hashCode() - Method in record class org.apache.spark.util.Pair: Returns a hash code value for this object.
hashFuncVersion() - Method in class org.apache.spark.ml.feature.HashingTF
HashingTF - Class in org.apache.spark.ml.feature: Maps a sequence of terms to their term frequencies using the hashing trick.
HashingTF - Class in org.apache.spark.mllib.feature: Maps a sequence of terms to their term frequencies using the hashing trick.
HashingTF() - Constructor for class org.apache.spark.ml.feature.HashingTF
HashingTF() - Constructor for class org.apache.spark.mllib.feature.HashingTF
HashingTF(int) - Constructor for class org.apache.spark.mllib.feature.HashingTF
HashingTF(String) - Constructor for class org.apache.spark.ml.feature.HashingTF
hasHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string host = 9;
hasHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string host = 9;
hasHost() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string host = 9;
hasHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string host = 9;
hasHost() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string host = 9;
hasHost() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string host = 9;
hasHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string host_port = 2;
hasHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string host_port = 2;
hasHostPort() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string host_port = 2;
hasHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string host_port = 2;
hasHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional string host_port = 2;
hasHostPort() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional string host_port = 2;
hasHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string host_port = 3;
hasHostPort() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string host_port = 3;
hasHostPort() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string host_port = 3;
HashPartitioner - Class in org.apache.spark: A Partitioner that implements hash-based partitioning using Java's Object.hashCode.
HashPartitioner(int) - Constructor for class org.apache.spark.HashPartitioner
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional string id = 1;
hasId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string id = 1;
hasId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional string id = 1;
hasId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: optional string id = 1;
hasId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string id = 2;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string id = 2;
hasId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string id = 2;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string id = 1;
hasId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string id = 1;
hasId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string id = 1;
hasIndeterminateCollation(DataType) - Static method in class org.apache.spark.sql.util.SchemaUtils: Checks if a given data type has indeterminate collation.
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.ApplicationEnvironmentInfo info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.ApplicationInfo info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ExecutorStageSummary info = 4;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ExecutorSummary info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: .org.apache.spark.status.protobuf.JobData info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: .org.apache.spark.status.protobuf.JobData info = 1;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: .org.apache.spark.status.protobuf.JobData info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.ProcessSummary info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapperOrBuilder: .org.apache.spark.status.protobuf.RDDStorageInfo info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapperOrBuilder: .org.apache.spark.status.protobuf.SpeculationStageSummary info = 3;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder: .org.apache.spark.status.protobuf.StageData info = 1;
hasInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper: .org.apache.spark.status.protobuf.StageData info = 1;
hasInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder: .org.apache.spark.status.protobuf.StageData info = 1;
hasInput(StageData) - Static method in class org.apache.spark.ui.jobs.ApiHelper
HasInputCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param inputCol.
HasInputCols - Interface in org.apache.spark.ml.param.shared: Trait for shared param inputCols.
hasInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
hasInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
hasInputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.InputMetricDistributions input_metrics = 15;
hasInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
hasInputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
hasInputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.InputMetrics input_metrics = 11;
hasJavaHome() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_home = 2;
hasJavaHome() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string java_home = 2;
hasJavaHome() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string java_home = 2;
hasJavaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string java_version = 1;
hasJavaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string java_version = 1;
hasJavaVersion() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string java_version = 1;
hasJobGroup() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string job_group = 7;
hasJobGroup() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string job_group = 7;
hasJobGroup() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string job_group = 7;
hasLabelCol(StructType) - Method in interface org.apache.spark.ml.feature.RFormulaBase
HasLabelCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param labelCol (default: "label").
hasLatestOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string latest_offset = 4;
hasLatestOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string latest_offset = 4;
hasLatestOffset() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string latest_offset = 4;
hasLinkPredictionCol() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase: Checks whether we should output link prediction.
HasLoss - Interface in org.apache.spark.ml.param.shared: Trait for shared param loss.
HasMaxBlockSizeInMB - Interface in org.apache.spark.ml.param.shared: Trait for shared param maxBlockSizeInMB (default: 0.0).
hasMaxCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 max_cores = 4;
hasMaxCores() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 max_cores = 4;
hasMaxCores() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 max_cores = 4;
HasMaxIter - Interface in org.apache.spark.ml.param.shared: Trait for shared param maxIter.
hasMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
hasMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
hasMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional .org.apache.spark.status.protobuf.MemoryMetrics memory_metrics = 24;
hasMemoryPerExecutorMb() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional int32 memory_per_executor_mb = 6;
hasMemoryPerExecutorMb() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional int32 memory_per_executor_mb = 6;
hasMemoryPerExecutorMb() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional int32 memory_per_executor_mb = 6;
hasMetricType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string metric_type = 3;
hasMetricType() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric: optional string metric_type = 3;
hasMetricType() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetricOrBuilder: optional string metric_type = 3;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData: optional string name = 1;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PoolDataOrBuilder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapperOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationNodeOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation: optional string name = 1;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceInformationOrBuilder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapperOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode: optional string name = 2;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeOrBuilder: optional string name = 2;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric: optional string name = 1;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetricOrBuilder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string name = 39;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string name = 39;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string name = 39;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string name = 1;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string name = 1;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string name = 1;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string name = 3;
hasName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string name = 3;
hasName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string name = 3;
hasNext() - Method in class org.apache.spark.ContextAwareIterator: Deprecated.
hasNext() - Method in class org.apache.spark.InterruptibleIterator
hasNode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
hasNode() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
hasNode() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapperOrBuilder: .org.apache.spark.status.protobuf.SparkPlanGraphNode node = 1;
hasNonUTF8BinaryCollation(DataType) - Static method in class org.apache.spark.sql.util.SchemaUtils: Checks if a given data type has a non utf8 binary (implicit) collation type.
hasNull() - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
hasNull() - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns true if this column vector contains any null values.
HasNumFeatures - Interface in org.apache.spark.ml.param.shared: Trait for shared param numFeatures (default: 262144).
hasOffHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 off_heap_memory_remaining = 8;
hasOffHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 off_heap_memory_remaining = 8;
hasOffHeapMemoryRemaining() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 off_heap_memory_remaining = 8;
hasOffHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 off_heap_memory_used = 6;
hasOffHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 off_heap_memory_used = 6;
hasOffHeapMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 off_heap_memory_used = 6;
hasOffsetCol() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase: Checks whether offset column is set and nonempty.
hasOnHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 on_heap_memory_remaining = 7;
hasOnHeapMemoryRemaining() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 on_heap_memory_remaining = 7;
hasOnHeapMemoryRemaining() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 on_heap_memory_remaining = 7;
hasOnHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder: optional int64 on_heap_memory_used = 5;
hasOnHeapMemoryUsed() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution: optional int64 on_heap_memory_used = 5;
hasOnHeapMemoryUsed() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDDataDistributionOrBuilder: optional int64 on_heap_memory_used = 5;
hasOperatorName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder: optional string operator_name = 1;
hasOperatorName() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress: optional string operator_name = 1;
hasOperatorName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder: optional string operator_name = 1;
hasOutput(StageData) - Static method in class org.apache.spark.ui.jobs.ApiHelper
HasOutputCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param outputCol (default: uid + "__output").
HasOutputCols - Interface in org.apache.spark.ml.param.shared: Trait for shared param outputCols.
hasOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
hasOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
hasOutputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.OutputMetricDistributions output_metrics = 16;
hasOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
hasOutputMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
hasOutputMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.OutputMetrics output_metrics = 12;
HasParallelism - Interface in org.apache.spark.ml.param.shared: Trait to define a level of parallelism for algorithms that are able to use multithreaded execution, and provide a thread-pool based execution context.
hasParam(String) - Method in interface org.apache.spark.ml.param.Params: Tests whether this instance contains a param with a given name.
hasParent() - Method in class org.apache.spark.ml.Model: Indicates whether this Model has a corresponding parent.
HasPartitionKey - Interface in org.apache.spark.sql.connector.read: A mix-in for input partitions whose records are clustered on the same set of partition keys (provided via SupportsReportPartitioning, see below).
HasPartitionStatistics - Interface in org.apache.spark.sql.connector.read: A mix-in for input partitions whose records are clustered on the same set of partition keys (provided via SupportsReportPartitioning, see below).
hasPeakExecutorMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
hasPeakExecutorMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
hasPeakExecutorMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_executor_metrics = 50;
hasPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
hasPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
hasPeakMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributionsOrBuilder: .org.apache.spark.status.protobuf.ExecutorPeakMetricsDistributions peak_memory_metrics = 16;
hasPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
hasPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
hasPeakMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 16;
hasPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
hasPeakMemoryMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
hasPeakMemoryMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional .org.apache.spark.status.protobuf.ExecutorMetrics peak_memory_metrics = 26;
hasPhysicalPlanDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string physical_plan_description = 5;
hasPhysicalPlanDescription() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string physical_plan_description = 5;
hasPhysicalPlanDescription() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string physical_plan_description = 5;
HasPredictionCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param predictionCol (default: "prediction").
HasProbabilityCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param probabilityCol (default: "probability").
hasProgress() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
hasProgress() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
hasProgress() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapperOrBuilder: .org.apache.spark.status.protobuf.StreamingQueryProgress progress = 1;
hasQuantile() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder: optional string quantile = 3;
hasQuantile() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile: optional string quantile = 3;
hasQuantile() - Method in interface org.apache.spark.status.protobuf.StoreTypes.CachedQuantileOrBuilder: optional string quantile = 3;
hasQuantilesCol() - Method in interface org.apache.spark.ml.regression.AFTSurvivalRegressionParams: Checks whether the input has quantiles column name.
hasQueryId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder: optional string query_id = 15;
hasQueryId() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData: optional string query_id = 15;
hasQueryId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder: optional string query_id = 15;
HasRawPredictionCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param rawPredictionCol (default: "rawPrediction").
hasRecord() - Method in class org.apache.spark.sql.connector.read.streaming.SupportsRealTimeRead.RecordStatus
HasRegParam - Interface in org.apache.spark.ml.param.shared: Trait for shared param regParam.
HasRelativeError - Interface in org.apache.spark.ml.param.shared: Trait for shared param relativeError (default: 0.001).
hasRemoveReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional string remove_reason = 22;
hasRemoveReason() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional string remove_reason = 22;
hasRemoveReason() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional string remove_reason = 22;
hasRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder: optional int64 remove_time = 21;
hasRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary: optional int64 remove_time = 21;
hasRemoveTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder: optional int64 remove_time = 21;
hasRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder: optional int64 remove_time = 6;
hasRemoveTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary: optional int64 remove_time = 6;
hasRemoveTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder: optional int64 remove_time = 6;
hasResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string resource_name = 1;
hasResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string resource_name = 1;
hasResourceName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string resource_name = 1;
hasResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder: optional string resource_name = 1;
hasResourceName() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest: optional string resource_name = 1;
hasResourceName() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequestOrBuilder: optional string resource_name = 1;
hasResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional int64 result_fetch_start = 6;
hasResultFetchStart() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional int64 result_fetch_start = 6;
hasResultFetchStart() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional int64 result_fetch_start = 6;
hasRootAsShutdownDeleteDir(File) - Static method in class org.apache.spark.util.ShutdownHookManager
hasRootCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
hasRootCluster() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
hasRootCluster() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapperOrBuilder: .org.apache.spark.status.protobuf.RDDOperationClusterWrapper root_cluster = 5;
hasRpInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
hasRpInfo() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
hasRpInfo() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapperOrBuilder: .org.apache.spark.status.protobuf.ResourceProfileInfo rp_info = 1;
hasRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder: optional string run_id = 3;
hasRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData: optional string run_id = 3;
hasRunId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryDataOrBuilder: optional string run_id = 3;
hasRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string run_id = 2;
hasRunId() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string run_id = 2;
hasRunId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string run_id = 2;
hasRuntime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
hasRuntime() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
hasRuntime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoOrBuilder: .org.apache.spark.status.protobuf.RuntimeInfo runtime = 1;
hasScalaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder: optional string scala_version = 3;
hasScalaVersion() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo: optional string scala_version = 3;
hasScalaVersion() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RuntimeInfoOrBuilder: optional string scala_version = 3;
hasSchedulingPool() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional string scheduling_pool = 42;
hasSchedulingPool() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional string scheduling_pool = 42;
hasSchedulingPool() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional string scheduling_pool = 42;
HasSeed - Interface in org.apache.spark.ml.param.shared: Trait for shared param seed (default: this.getClass.getName.hashCode.toLong).
hasShufflePushReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
hasShufflePushReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
hasShufflePushReadMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricsOrBuilder: .org.apache.spark.status.protobuf.ShufflePushReadMetrics shuffle_push_read_metrics = 9;
hasShufflePushReadMetricsDist() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
hasShufflePushReadMetricsDist() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
hasShufflePushReadMetricsDist() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShufflePushReadMetricDistributions shuffle_push_read_metrics_dist = 10;
hasShuffleRead(StageData) - Static method in class org.apache.spark.ui.jobs.ApiHelper
hasShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
hasShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
hasShuffleReadMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShuffleReadMetricDistributions shuffle_read_metrics = 17;
hasShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
hasShuffleReadMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
hasShuffleReadMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.ShuffleReadMetrics shuffle_read_metrics = 13;
hasShuffleWrite(StageData) - Static method in class org.apache.spark.ui.jobs.ApiHelper
hasShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
hasShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
hasShuffleWriteMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributionsOrBuilder: .org.apache.spark.status.protobuf.ShuffleWriteMetricDistributions shuffle_write_metrics = 18;
hasShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
hasShuffleWriteMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
hasShuffleWriteMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskMetricsOrBuilder: .org.apache.spark.status.protobuf.ShuffleWriteMetrics shuffle_write_metrics = 14;
hasShutdownDeleteDir(File) - Static method in class org.apache.spark.util.ShutdownHookManager
hasSink() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
hasSink() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
hasSink() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: .org.apache.spark.status.protobuf.SinkProgress sink = 11;
HasSolver - Interface in org.apache.spark.ml.param.shared: Trait for shared param solver.
hasSparkUser() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder: optional string spark_user = 6;
hasSparkUser() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo: optional string spark_user = 6;
hasSparkUser() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfoOrBuilder: optional string spark_user = 6;
hasSpeculationSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
hasSpeculationSummary() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
hasSpeculationSummary() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.SpeculationStageSummary speculation_summary = 47;
hasSqlExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder: optional int64 sql_execution_id = 3;
hasSqlExecutionId() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper: optional int64 sql_execution_id = 3;
hasSqlExecutionId() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataWrapperOrBuilder: optional int64 sql_execution_id = 3;
HasStandardization - Interface in org.apache.spark.ml.param.shared: Trait for shared param standardization (default: true).
hasStartOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder: optional string start_offset = 2;
hasStartOffset() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress: optional string start_offset = 2;
hasStartOffset() - Method in interface org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder: optional string start_offset = 2;
hasStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string status = 10;
hasStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string status = 10;
hasStatus() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string status = 10;
hasStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string status = 10;
hasStatus() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string status = 10;
hasStatus() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string status = 10;
HasStepSize - Interface in org.apache.spark.ml.param.shared: Trait for shared param stepSize.
hasStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder: optional string storage_level = 2;
hasStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo: optional string storage_level = 2;
hasStorageLevel() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfoOrBuilder: optional string storage_level = 2;
hasStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder: optional string storage_level = 5;
hasStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo: optional string storage_level = 5;
hasStorageLevel() - Method in interface org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoOrBuilder: optional string storage_level = 5;
hasStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder: optional string storage_level = 4;
hasStorageLevel() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData: optional string storage_level = 4;
hasStorageLevel() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamBlockDataOrBuilder: optional string storage_level = 4;
hasSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder: optional int64 submission_time = 4;
hasSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData: optional int64 submission_time = 4;
hasSubmissionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder: optional int64 submission_time = 4;
hasSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional int64 submission_time = 10;
hasSubmissionTime() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional int64 submission_time = 10;
hasSubmissionTime() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional int64 submission_time = 10;
hasSubModels() - Method in class org.apache.spark.ml.tuning.CrossValidatorModel
hasSubModels() - Method in class org.apache.spark.ml.tuning.TrainValidationSplitModel
hasSummary() - Method in interface org.apache.spark.ml.util.HasTrainingSummary: Indicates whether a training summary exists for this model instance.
hasTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional string task_locality = 11;
hasTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional string task_locality = 11;
hasTaskLocality() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional string task_locality = 11;
hasTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder: optional string task_locality = 11;
hasTaskLocality() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper: optional string task_locality = 11;
hasTaskLocality() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapperOrBuilder: optional string task_locality = 11;
hasTaskMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
hasTaskMetrics() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
hasTaskMetrics() - Method in interface org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder: optional .org.apache.spark.status.protobuf.TaskMetrics task_metrics = 15;
hasTaskMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
hasTaskMetricsDistributions() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
hasTaskMetricsDistributions() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder: optional .org.apache.spark.status.protobuf.TaskMetricDistributions task_metrics_distributions = 51;
HasThreshold - Interface in org.apache.spark.ml.param.shared: Trait for shared param threshold.
HasThresholds - Interface in org.apache.spark.ml.param.shared: Trait for shared param thresholds.
hasTimedOut() - Method in interface org.apache.spark.sql.streaming.GroupState: Whether the function has been called because the key has timed out.
hasTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder: optional string timestamp = 4;
hasTimestamp() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress: optional string timestamp = 4;
hasTimestamp() - Method in interface org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder: optional string timestamp = 4;
HasTol - Interface in org.apache.spark.ml.param.shared: Trait for shared param tol.
HasTrainingSummary<T> - Interface in org.apache.spark.ml.util: Trait for models that provides Training summary.
hasUpdate() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string update = 3;
hasUpdate() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string update = 3;
hasUpdate() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string update = 3;
HasValidationIndicatorCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param validationIndicatorCol.
hasValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder: optional string value = 4;
hasValue() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo: optional string value = 4;
hasValue() - Method in interface org.apache.spark.status.protobuf.StoreTypes.AccumulableInfoOrBuilder: optional string value = 4;
hasValue(String) - Method in class org.apache.spark.ml.attribute.NominalAttribute: Tests whether this attribute contains a specific value.
hasValue1() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value1 = 1;
hasValue1() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings: optional string value1 = 1;
hasValue1() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PairStringsOrBuilder: optional string value1 = 1;
hasValue2() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder: optional string value2 = 2;
hasValue2() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings: optional string value2 = 2;
hasValue2() - Method in interface org.apache.spark.status.protobuf.StoreTypes.PairStringsOrBuilder: optional string value2 = 2;
HasVarianceCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param varianceCol.
HasVarianceImpurity - Interface in org.apache.spark.ml.tree
hasVendor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder: optional string vendor = 4;
hasVendor() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest: optional string vendor = 4;
hasVendor() - Method in interface org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequestOrBuilder: optional string vendor = 4;
hasWeightCol() - Method in interface org.apache.spark.ml.regression.GeneralizedLinearRegressionBase: Checks whether weight column is set and nonempty.
hasWeightCol() - Method in interface org.apache.spark.ml.regression.IsotonicRegressionBase: Checks whether the input has weight column.
HasWeightCol - Interface in org.apache.spark.ml.param.shared: Trait for shared param weightCol.
hasWriteObjectMethod() - Method in class org.apache.spark.serializer.SerializationDebugger.ObjectStreamClassMethods
hasWriteReplaceMethod() - Method in class org.apache.spark.serializer.SerializationDebugger.ObjectStreamClassMethods
HdfsUtils - Class in org.apache.spark.streaming.util
HdfsUtils() - Constructor for class org.apache.spark.streaming.util.HdfsUtils
head() - Method in class org.apache.spark.sql.Dataset: Returns the first row.
head(int) - Method in class org.apache.spark.sql.Dataset: Returns the first n rows.
HEADER_ACCUMULATORS() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_ATTEMPT() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_DESER_TIME() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_DISK_SPILL() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_DURATION() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_ERROR() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_EXECUTOR() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_GC_TIME() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_GETTING_RESULT_TIME() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_HOST() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_ID() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_INPUT_SIZE() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_LAUNCH_TIME() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_LOCALITY() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_MEM_SPILL() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_OUTPUT_SIZE() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_PEAK_MEM() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_SCHEDULER_DELAY() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_SER_TIME() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_SHUFFLE_READ_FETCH_WAIT_TIME() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_SHUFFLE_REMOTE_READS() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_SHUFFLE_TOTAL_READS() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_SHUFFLE_WRITE_SIZE() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_SHUFFLE_WRITE_TIME() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_STATUS() - Static method in class org.apache.spark.ui.jobs.ApiHelper
HEADER_TASK_INDEX() - Static method in class org.apache.spark.ui.jobs.ApiHelper
headerRow(Seq<Tuple3<String, Object, Option<String>>>, boolean, int, String, String, String, String) - Method in interface org.apache.spark.ui.PagedTable
headers() - Method in interface org.apache.spark.ui.PagedTable
headerSparkPage(HttpServletRequest, String, Function0<Seq<Node>>, SparkUITab, Option<String>, boolean, boolean) - Static method in class org.apache.spark.ui.UIUtils: Returns a spark page with correctly formatted headers
height() - Method in interface org.apache.spark.sql.connector.read.colstats.Histogram
hex(Column) - Static method in class org.apache.spark.sql.functions: Computes hex value of the given column.
hi() - Method in interface org.apache.spark.sql.connector.read.colstats.HistogramBin
high() - Method in class org.apache.spark.partial.BoundedDouble
HingeGradient - Class in org.apache.spark.mllib.optimization: Compute gradient and loss for a Hinge loss function, as used in SVM binary classification.
HingeGradient() - Constructor for class org.apache.spark.mllib.optimization.HingeGradient
hint(String, Object...) - Method in class org.apache.spark.sql.Dataset: Specifies some hint on the current Dataset.
hint(String, Seq<Object>) - Method in class org.apache.spark.sql.Dataset: Specifies some hint on the current Dataset.
histogram() - Method in interface org.apache.spark.sql.connector.read.colstats.ColumnStatistics
histogram(double[]) - Method in class org.apache.spark.api.java.JavaDoubleRDD: Compute a histogram using the provided buckets.
histogram(double[], boolean) - Method in class org.apache.spark.rdd.DoubleRDDFunctions: Compute a histogram using the provided buckets.
histogram(int) - Method in class org.apache.spark.api.java.JavaDoubleRDD: Compute a histogram of the data using bucketCount number of buckets evenly spaced between the minimum and maximum of the RDD.
histogram(int) - Method in class org.apache.spark.rdd.DoubleRDDFunctions: Compute a histogram of the data using bucketCount number of buckets evenly spaced between the minimum and maximum of the RDD.
histogram(Double[], boolean) - Method in class org.apache.spark.api.java.JavaDoubleRDD
Histogram - Interface in org.apache.spark.sql.connector.read.colstats: An interface to represent an equi-height histogram, which is a part of ColumnStatistics.
histogram_numeric(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: computes a histogram on numeric 'expr' using nb bins.
HistogramBin - Interface in org.apache.spark.sql.connector.read.colstats: An interface to represent a bin in an equi-height histogram.
HiveCatalogMetrics - Class in org.apache.spark.metrics.source: Metrics for access to the hive external catalog.
HiveCatalogMetrics() - Constructor for class org.apache.spark.metrics.source.HiveCatalogMetrics
hll_sketch_agg(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch configured with default lgConfigK value.
hll_sketch_agg(String, int) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch configured with lgConfigK arg.
hll_sketch_agg(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch configured with default lgConfigK value.
hll_sketch_agg(Column, int) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch configured with lgConfigK arg.
hll_sketch_agg(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch configured with lgConfigK arg.
hll_sketch_estimate(String) - Static method in class org.apache.spark.sql.functions: Returns the estimated number of unique values given the binary representation of a Datasketches HllSketch.
hll_sketch_estimate(Column) - Static method in class org.apache.spark.sql.functions: Returns the estimated number of unique values given the binary representation of a Datasketches HllSketch.
hll_union(String, String) - Static method in class org.apache.spark.sql.functions: Merges two binary representations of Datasketches HllSketch objects, using a Datasketches Union object.
hll_union(String, String, boolean) - Static method in class org.apache.spark.sql.functions: Merges two binary representations of Datasketches HllSketch objects, using a Datasketches Union object.
hll_union(Column, Column) - Static method in class org.apache.spark.sql.functions: Merges two binary representations of Datasketches HllSketch objects, using a Datasketches Union object.
hll_union(Column, Column, boolean) - Static method in class org.apache.spark.sql.functions: Merges two binary representations of Datasketches HllSketch objects, using a Datasketches Union object.
hll_union_agg(String) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch, generated by merging previously created Datasketches HllSketch instances via a Datasketches Union instance.
hll_union_agg(String, boolean) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch, generated by merging previously created Datasketches HllSketch instances via a Datasketches Union instance.
hll_union_agg(Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch, generated by merging previously created Datasketches HllSketch instances via a Datasketches Union instance.
hll_union_agg(Column, boolean) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch, generated by merging previously created Datasketches HllSketch instances via a Datasketches Union instance.
hll_union_agg(Column, Column) - Static method in class org.apache.spark.sql.functions: Aggregate function: returns the updatable binary representation of the Datasketches HllSketch, generated by merging previously created Datasketches HllSketch instances via a Datasketches Union instance.
holdingLocks() - Method in class org.apache.spark.status.api.v1.ThreadStackTrace: Deprecated.
using synchronizers and monitors instead. Since 4.0.0.
horzcat(Matrix[]) - Static method in class org.apache.spark.ml.linalg.Matrices: Horizontally concatenate a sequence of matrices.
horzcat(Matrix[]) - Static method in class org.apache.spark.mllib.linalg.Matrices: Horizontally concatenate a sequence of matrices.
host() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.DecommissionExecutorsOnHost
host() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.KillExecutorsOnHost
host() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RemoveWorker
host() - Method in class org.apache.spark.scheduler.TaskInfo
host() - Method in interface org.apache.spark.scheduler.TaskLocation
host() - Method in interface org.apache.spark.SparkExecutorInfo
host() - Method in class org.apache.spark.SparkExecutorInfoImpl
host() - Method in class org.apache.spark.status.api.v1.TaskData
host() - Method in class org.apache.spark.storage.BlockManagerId
host() - Method in class org.apache.spark.storage.BlockManagerMessages.RemoveShufflePushMergerLocation
HOST() - Static method in class org.apache.spark.status.TaskIndexNames
HOST_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
HOST_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
HOST_PORT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
HOST_PORT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
HOST_PORT_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
hostId() - Method in class org.apache.spark.scheduler.SparkListenerNodeBlacklisted: Deprecated.
hostId() - Method in class org.apache.spark.scheduler.SparkListenerNodeBlacklistedForStage: Deprecated.
hostId() - Method in class org.apache.spark.scheduler.SparkListenerNodeExcluded
hostId() - Method in class org.apache.spark.scheduler.SparkListenerNodeExcludedForStage
hostId() - Method in class org.apache.spark.scheduler.SparkListenerNodeUnblacklisted: Deprecated.
hostId() - Method in class org.apache.spark.scheduler.SparkListenerNodeUnexcluded
hostLocation() - Method in class org.apache.spark.scheduler.SplitInfo
hostname() - Method in interface org.apache.spark.api.plugin.PluginContext: The host name which is being used by the Spark process for communication.
hostname() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RegisterExecutor
hostPort() - Method in class org.apache.spark.scheduler.MiscellaneousProcessDetails
hostPort() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
hostPort() - Method in class org.apache.spark.status.api.v1.ProcessSummary
hostPort() - Method in class org.apache.spark.storage.BlockManagerId
hostsToFilter() - Method in class org.apache.spark.storage.BlockManagerMessages.GetShufflePushMergerLocations
hostToLocalTaskCount() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.RequestExecutors
hour(Column) - Static method in class org.apache.spark.sql.functions: Extracts the hours as an integer from a given date/time/timestamp/string.
HOUR() - Static method in class org.apache.spark.sql.types.DayTimeIntervalType
hours() - Static method in class org.apache.spark.scheduler.StatsReportListener
hours(String) - Static method in class org.apache.spark.sql.connector.expressions.Expressions: Create an hourly transform for a timestamp column.
hours(Column) - Static method in class org.apache.spark.sql.functions: (Java-specific) A transform for timestamps to partition data into hours.
hours(Column) - Method in class org.apache.spark.sql.functions.partitioning$: (Scala-specific) A transform for timestamps to partition data into hours.
hours(NamedReference) - Static method in class org.apache.spark.sql.connector.expressions.LogicalExpressions
html() - Method in class org.apache.spark.status.api.v1.StackTrace
htmlResponderToServlet(Function1<HttpServletRequest, Seq<Node>>) - Static method in class org.apache.spark.ui.JettyUtils
httpRequest() - Method in interface org.apache.spark.status.api.v1.ApiRequestContext
httpResponseCode(URL, String, Seq<Tuple2<String, String>>) - Static method in class org.apache.spark.TestUtils: Returns the response code from an HTTP(S) URL.
httpResponseMessage(URL, String, Seq<Tuple2<String, String>>) - Static method in class org.apache.spark.TestUtils: Returns the response message from an HTTP(S) URL.
HttpSecurityFilter - Class in org.apache.spark.ui: A servlet filter that implements HTTP security features.
HttpSecurityFilter(SparkConf, org.apache.spark.SecurityManager) - Constructor for class org.apache.spark.ui.HttpSecurityFilter
HttpsRedirectFilter - Class in org.apache.spark.ui
HttpsRedirectFilter(String, int) - Constructor for class org.apache.spark.ui.HttpsRedirectFilter
hypot(double, String) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.
hypot(double, Column) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.
hypot(String, double) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.
hypot(String, String) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.
hypot(String, Column) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.
hypot(Column, double) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.
hypot(Column, String) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.
hypot(Column, Column) - Static method in class org.apache.spark.sql.functions: Computes sqrt(a^2^ + b^2^) without intermediate overflow or underflow.

I

i() - Method in class org.apache.spark.mllib.linalg.distributed.MatrixEntry
id() - Method in interface org.apache.spark.api.java.JavaRDDLike: A unique ID for this RDD (within its SparkContext).
id() - Method in class org.apache.spark.broadcast.Broadcast
id() - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.NodeData
id() - Method in class org.apache.spark.mllib.clustering.PowerIterationClustering.Assignment
id() - Method in class org.apache.spark.mllib.tree.model.Node
id() - Method in class org.apache.spark.rdd.RDD: A unique ID for this RDD (within its SparkContext).
id() - Method in class org.apache.spark.resource.ResourceProfile: A unique id of this ResourceProfile
id() - Method in class org.apache.spark.resource.ResourceRequest
id() - Method in class org.apache.spark.scheduler.AccumulableInfo
id() - Method in class org.apache.spark.scheduler.TaskInfo
id() - Method in interface org.apache.spark.sql.connector.catalog.Table: An ID of the table that can be used to reliably check if two table objects refer to the same metastore entity.
id() - Method in interface org.apache.spark.sql.streaming.StreamingQuery: Returns the unique id of this query that persists across restarts from checkpoint data.
id() - Method in class org.apache.spark.sql.streaming.StreamingQueryListener.QueryIdleEvent
id() - Method in class org.apache.spark.sql.streaming.StreamingQueryListener.QueryStartedEvent
id() - Method in class org.apache.spark.sql.streaming.StreamingQueryListener.QueryTerminatedEvent
id() - Method in class org.apache.spark.sql.streaming.StreamingQueryProgress
id() - Method in class org.apache.spark.status.api.v1.AccumulableInfo
id() - Method in class org.apache.spark.status.api.v1.ApplicationInfo
id() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
id() - Method in class org.apache.spark.status.api.v1.ProcessSummary
id() - Method in class org.apache.spark.status.api.v1.RDDStorageInfo
id() - Method in class org.apache.spark.status.api.v1.ResourceProfileInfo
id() - Method in class org.apache.spark.status.api.v1.sql.ExecutionData
id() - Method in class org.apache.spark.storage.RDDInfo
id() - Method in class org.apache.spark.streaming.dstream.InputDStream: This is a unique identifier for the input stream.
id() - Method in class org.apache.spark.streaming.scheduler.OutputOperationInfo
id() - Method in class org.apache.spark.util.AccumulatorV2: Returns the id of this accumulator, can only be called after registration.
ID - Enum constant in enum class org.apache.spark.status.api.v1.TaskSorting
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
ID_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
ident() - Method in class org.apache.spark.sql.connector.catalog.ViewInfo
Identifiable - Interface in org.apache.spark.ml.util: Trait for an object with an immutable unique ID that identifies itself and its derivatives.
identifier() - Method in interface org.apache.spark.sql.connector.catalog.TableSummary
Identifier - Interface in org.apache.spark.sql.connector.catalog: Identifies an object in a catalog.
IdentifierHelper(Identifier) - Constructor for class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.IdentifierHelper
identity(String) - Static method in class org.apache.spark.sql.connector.expressions.Expressions: Create an identity transform for a column.
identity(NamedReference) - Static method in class org.apache.spark.sql.connector.expressions.LogicalExpressions
Identity$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.Identity$
identityColumnSpec() - Method in interface org.apache.spark.sql.connector.catalog.Column: Returns the identity column specification of this table column.
IdentityColumnSpec - Class in org.apache.spark.sql.connector.catalog: Identity column specification.
IdentityColumnSpec(long, long, boolean) - Constructor for class org.apache.spark.sql.connector.catalog.IdentityColumnSpec: Creates an identity column specification.
idf() - Method in class org.apache.spark.ml.feature.IDFModel: Returns the IDF vector.
idf() - Method in class org.apache.spark.mllib.feature.IDF.DocumentFrequencyAggregator: Returns the current IDF vector, docFreq, number of documents
idf() - Method in class org.apache.spark.mllib.feature.IDFModel
IDF - Class in org.apache.spark.ml.feature: Compute the Inverse Document Frequency (IDF) given a collection of documents.
IDF - Class in org.apache.spark.mllib.feature: Inverse document frequency (IDF).
IDF() - Constructor for class org.apache.spark.ml.feature.IDF
IDF() - Constructor for class org.apache.spark.mllib.feature.IDF
IDF(int) - Constructor for class org.apache.spark.mllib.feature.IDF
IDF(String) - Constructor for class org.apache.spark.ml.feature.IDF
IDF.DocumentFrequencyAggregator - Class in org.apache.spark.mllib.feature: Document frequency aggregator.
IDFBase - Interface in org.apache.spark.ml.feature: Params for IDF and IDFModel.
IDFModel - Class in org.apache.spark.ml.feature: Model fitted by IDF.
IDFModel - Class in org.apache.spark.mllib.feature: Represents an IDF model that can transform term frequency vectors.
IDFModel.Data$ - Class in org.apache.spark.ml.feature
ifExists() - Method in class org.apache.spark.sql.connector.catalog.TableChange.DeleteColumn
ifExists() - Method in class org.apache.spark.sql.connector.catalog.TableChange.DropConstraint
ifnull(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns col2 if col1 is null, or col1 otherwise.
Ignore - Enum constant in enum class org.apache.spark.sql.SaveMode: Ignore mode means that when saving a DataFrame to a data source, if data already exists, the save operation is expected to not save the contents of the DataFrame and to not change the existing data.
ilike(String) - Method in class org.apache.spark.sql.Column: SQL ILIKE expression (case insensitive LIKE).
ilike(Column, Column) - Static method in class org.apache.spark.sql.functions: Returns true if str matches pattern with escapeChar('\') case-insensitively, null if any arguments are null, false otherwise.
ilike(Column, Column, Column) - Static method in class org.apache.spark.sql.functions: Returns true if str matches pattern with escapeChar case-insensitively, null if any arguments are null, false otherwise.
ImageDataSource - Class in org.apache.spark.ml.source.image: image package implements Spark SQL data source API for loading image data as DataFrame.
ImageDataSource() - Constructor for class org.apache.spark.ml.source.image.ImageDataSource
imageFields() - Static method in class org.apache.spark.ml.image.ImageSchema
imageSchema() - Static method in class org.apache.spark.ml.image.ImageSchema: DataFrame with a single column of images named "image" (nullable)
ImageSchema - Class in org.apache.spark.ml.image: Defines the image schema and methods to read and manipulate images.
ImageSchema() - Constructor for class org.apache.spark.ml.image.ImageSchema
implicitPrefs() - Method in class org.apache.spark.ml.recommendation.ALS
implicitPrefs() - Method in interface org.apache.spark.ml.recommendation.ALSParams: Param to decide whether to use implicit preference.
implicits() - Constructor for class org.apache.spark.sql.streaming.StatefulProcessor.implicits
implicits() - Method in class org.apache.spark.sql.SparkSession: (Scala-specific) Implicit methods available in Scala for converting common Scala objects into DataFrames.
implicits() - Method in class org.apache.spark.sql.SQLContext: (Scala-specific) Implicit methods available in Scala for converting common Scala objects into DataFrames.
implicits() - Method in class org.apache.spark.sql.streaming.StatefulProcessor
implicits$() - Constructor for class org.apache.spark.sql.streaming.StatefulProcessor.implicits$
improveException(Object, NotSerializableException) - Static method in class org.apache.spark.serializer.SerializationDebugger: Improve the given NotSerializableException with the serialization path leading from the given object to the problematic object.
Impurities - Class in org.apache.spark.mllib.tree.impurity: Factory for Impurity instances.
Impurities() - Constructor for class org.apache.spark.mllib.tree.impurity.Impurities
impurity() - Method in class org.apache.spark.ml.classification.DecisionTreeClassificationModel
impurity() - Method in class org.apache.spark.ml.classification.DecisionTreeClassifier
impurity() - Method in class org.apache.spark.ml.classification.GBTClassificationModel
impurity() - Method in class org.apache.spark.ml.classification.GBTClassifier
impurity() - Method in class org.apache.spark.ml.classification.RandomForestClassificationModel
impurity() - Method in class org.apache.spark.ml.classification.RandomForestClassifier
impurity() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressionModel
impurity() - Method in class org.apache.spark.ml.regression.DecisionTreeRegressor
impurity() - Method in class org.apache.spark.ml.regression.GBTRegressionModel
impurity() - Method in class org.apache.spark.ml.regression.GBTRegressor
impurity() - Method in class org.apache.spark.ml.regression.RandomForestRegressionModel
impurity() - Method in class org.apache.spark.ml.regression.RandomForestRegressor
impurity() - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.NodeData
impurity() - Method in interface org.apache.spark.ml.tree.HasVarianceImpurity: Criterion used for information gain calculation (case-insensitive).
impurity() - Method in class org.apache.spark.ml.tree.InternalNode
impurity() - Method in class org.apache.spark.ml.tree.LeafNode
impurity() - Method in class org.apache.spark.ml.tree.Node: Impurity measure at this node (for training data)
impurity() - Method in interface org.apache.spark.ml.tree.TreeClassifierParams: Criterion used for information gain calculation (case-insensitive).
impurity() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
impurity() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.NodeData
impurity() - Method in class org.apache.spark.mllib.tree.model.InformationGainStats
impurity() - Method in class org.apache.spark.mllib.tree.model.Node
Impurity - Interface in org.apache.spark.mllib.tree.impurity: Trait for calculating information gain.
impurityStats() - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.NodeData
Imputer - Class in org.apache.spark.ml.feature: Imputation estimator for completing missing values, using the mean, median or mode of the columns in which the missing values are located.
Imputer() - Constructor for class org.apache.spark.ml.feature.Imputer
Imputer(String) - Constructor for class org.apache.spark.ml.feature.Imputer
ImputerModel - Class in org.apache.spark.ml.feature: Model fitted by Imputer.
ImputerParams - Interface in org.apache.spark.ml.feature: Params for Imputer and ImputerModel.
in(String, DataType) - Static method in interface org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter: Creates a builder for an IN procedure parameter.
In - Class in org.apache.spark.sql.sources: A filter that evaluates to true iff the attribute evaluates to one of the values in the array.
In(String, Object[]) - Constructor for class org.apache.spark.sql.sources.In
In() - Static method in class org.apache.spark.graphx.EdgeDirection: Edges arriving at a vertex.
IN - Enum constant in enum class org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter.Mode
INACTIVE() - Static method in class org.apache.spark.streaming.scheduler.ReceiverState
inArray(Object) - Static method in class org.apache.spark.ml.param.ParamValidators: Check for value in an allowed set of values.
inArray(List<T>) - Static method in class org.apache.spark.ml.param.ParamValidators: Check for value in an allowed set of values.
InBlock$() - Constructor for class org.apache.spark.ml.recommendation.ALS.InBlock$
INCOMING_EDGES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
IncompatibleMergeException - Exception in org.apache.spark.util.sketch
IncompatibleMergeException(String) - Constructor for exception org.apache.spark.util.sketch.IncompatibleMergeException
INCREASING_RUNTIME - Enum constant in enum class org.apache.spark.status.api.v1.TaskSorting
incrementFetchedPartitions(int) - Static method in class org.apache.spark.metrics.source.HiveCatalogMetrics
incrementFileCacheHits(int) - Static method in class org.apache.spark.metrics.source.HiveCatalogMetrics
incrementFilesDiscovered(int) - Static method in class org.apache.spark.metrics.source.HiveCatalogMetrics
incrementHiveClientCalls(int) - Static method in class org.apache.spark.metrics.source.HiveCatalogMetrics
incrementParallelListingJobCount(int) - Static method in class org.apache.spark.metrics.source.HiveCatalogMetrics
inDegrees() - Method in class org.apache.spark.graphx.GraphOps
independence() - Method in class org.apache.spark.mllib.stat.test.ChiSqTest.NullHypothesis$
INDETERMINATE() - Static method in class org.apache.spark.rdd.DeterministicLevel
IndeterminateStringType - Class in org.apache.spark.sql.types: String type that was the result of coercing two different non-explicit collations.
IndeterminateStringType() - Constructor for class org.apache.spark.sql.types.IndeterminateStringType
index() - Method in class org.apache.spark.ml.attribute.Attribute: Index of the attribute.
index() - Method in class org.apache.spark.ml.attribute.BinaryAttribute
index() - Method in class org.apache.spark.ml.attribute.NominalAttribute
index() - Method in class org.apache.spark.ml.attribute.NumericAttribute
index() - Static method in class org.apache.spark.ml.attribute.UnresolvedAttribute
index() - Method in class org.apache.spark.mllib.linalg.distributed.IndexedRow
index() - Method in interface org.apache.spark.Partition: Get the partition's index within its parent RDD
index() - Method in class org.apache.spark.scheduler.TaskInfo: The index of this task within its task set.
index() - Method in class org.apache.spark.status.api.v1.TaskData
index(int, int) - Method in interface org.apache.spark.ml.linalg.Matrix: Return the index for the (i, j)-th element in the backing array.
index(int, int) - Method in interface org.apache.spark.mllib.linalg.Matrix: Return the index for the (i, j)-th element in the backing array.
INDEX() - Static method in class org.apache.spark.ml.attribute.AttributeKeys
INDEX_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskData
INDEX_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
IndexedRow - Class in org.apache.spark.mllib.linalg.distributed: Represents a row of IndexedRowMatrix.
IndexedRow(long, Vector) - Constructor for class org.apache.spark.mllib.linalg.distributed.IndexedRow
IndexedRowMatrix - Class in org.apache.spark.mllib.linalg.distributed: Represents a row-oriented DistributedMatrix with indexed rows.
IndexedRowMatrix(RDD<IndexedRow>) - Constructor for class org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix: Alternative constructor leaving matrix dimensions to be determined automatically.
IndexedRowMatrix(RDD<IndexedRow>, long, int) - Constructor for class org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix
indexExists(String) - Method in interface org.apache.spark.sql.connector.catalog.index.SupportsIndex: Checks whether an index exists in this table.
indexExists(Connection, String, Identifier, JDBCOptions) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Checks whether an index exists
indexExists(Connection, String, Identifier, JDBCOptions) - Method in class org.apache.spark.sql.jdbc.MySQLDialect
indexExists(Connection, String, Identifier, JDBCOptions) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
indexExists(Connection, String, Identifier, JDBCOptions) - Method in class org.apache.spark.sql.jdbc.PostgresDialect
indexName() - Method in class org.apache.spark.sql.connector.catalog.index.TableIndex
indexName(String) - Static method in class org.apache.spark.ui.jobs.ApiHelper
indexOf(Object) - Method in class org.apache.spark.ml.feature.HashingTF: Returns the index of the input term.
indexOf(Object) - Method in class org.apache.spark.mllib.feature.HashingTF: Returns the index of the input term.
indexOf(String) - Method in class org.apache.spark.ml.attribute.AttributeGroup: Index of an attribute specified by name.
indexOf(String) - Method in class org.apache.spark.ml.attribute.NominalAttribute: Index of a specific value.
indexToLevel(int) - Static method in class org.apache.spark.mllib.tree.model.Node: Return the level of a tree which the given node is in.
IndexToString - Class in org.apache.spark.ml.feature: A Transformer that maps a column of indices back to a new column of corresponding string values.
IndexToString() - Constructor for class org.apache.spark.ml.feature.IndexToString
IndexToString(String) - Constructor for class org.apache.spark.ml.feature.IndexToString
indexType() - Method in class org.apache.spark.sql.connector.catalog.index.TableIndex
indexUpperTriangular(int, int, int) - Static method in class org.apache.spark.ml.impl.Utils: Indexing in an array representing the upper triangular part of a matrix into an n * n array representing the full symmetric matrix (column major).
indices() - Method in class org.apache.spark.ml.feature.VectorSlicer: An array of indices to select features from a vector column.
indices() - Method in class org.apache.spark.ml.linalg.SparseVector
indices() - Method in class org.apache.spark.mllib.linalg.SparseVector
IndylambdaScalaClosures - Class in org.apache.spark.util
IndylambdaScalaClosures() - Constructor for class org.apache.spark.util.IndylambdaScalaClosures
inferNumPartitions(long) - Method in class org.apache.spark.ml.tree.DecisionTreeModelReadWrite.NodeData$: When save a tree model, infer the number of partitions based on number of nodes.
inferPartitioning(CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.catalog.TableProvider: Infer the partitioning of the table identified by the given options.
inferSchema(CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.catalog.TableProvider: Infer the schema of the table identified by the given options.
info() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.MiscellaneousProcessAdded
info() - Method in class org.apache.spark.scheduler.SparkListenerMiscellaneousProcessAdded
info() - Method in class org.apache.spark.status.LiveRDD
info() - Method in class org.apache.spark.status.LiveStage
info() - Method in class org.apache.spark.status.LiveTask
info() - Method in class org.apache.spark.storage.BlockInfoWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
INFO_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
infoChanged(SparkAppHandle) - Method in interface org.apache.spark.launcher.SparkAppHandle.Listener: Callback for changes in any information that is not the handle's state.
infoGain() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.NodeData
InformationGainStats - Class in org.apache.spark.mllib.tree.model: Information gain statistics for each split param: gain information gain value param: impurity current node impurity param: leftImpurity left node impurity param: rightImpurity right node impurity param: leftPredict left node predict param: rightPredict right node predict
InformationGainStats(double, double, double, double, Predict, Predict) - Constructor for class org.apache.spark.mllib.tree.model.InformationGainStats
init(FilterConfig) - Method in class org.apache.spark.ui.JWSFilter: Load and validate the configurtions: - IllegalArgumentException will happen if the user didn't provide this argument - WeakKeyException will happen if the user-provided value is insufficient
init(PluginContext, Map<String, String>) - Method in interface org.apache.spark.api.plugin.ExecutorPlugin: Initialize the executor plugin.
init(SparkContext, PluginContext) - Method in interface org.apache.spark.api.plugin.DriverPlugin: Initialize the plugin.
init(OutputMode, TimeMode) - Method in class org.apache.spark.sql.streaming.StatefulProcessor: Function that will be invoked as the first method that allows for users to initialize all their state variables and perform other init actions before handling data.
initcap(Column) - Static method in class org.apache.spark.sql.functions: Returns a new string column by converting the first letter of each word to uppercase.
initCoefficients(int) - Method in interface org.apache.spark.ml.regression.FactorizationMachines
initDaemon(Logger) - Static method in class org.apache.spark.util.Utils: Utility function that should be called early in main() for daemons to set up some common diagnostic state.
initialHash() - Method in class org.apache.spark.rdd.DefaultPartitionCoalescer
initialize() - Static method in class org.apache.spark.rdd.InputFileBlockHolder: Initializes thread local by explicitly getting the value.
initialize(boolean, SparkConf) - Method in interface org.apache.spark.broadcast.BroadcastFactory
initialize(double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Binomial$
initialize(double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gamma$
initialize(double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Gaussian$
initialize(double, double) - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegression.Poisson$
initialize(String, CaseInsensitiveStringMap) - Method in interface org.apache.spark.sql.connector.catalog.CatalogPlugin: Called to initialize configuration.
initialize(String, CaseInsensitiveStringMap) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
initialize(RDD<Tuple2<Object, Vector>>, LDA) - Method in interface org.apache.spark.mllib.clustering.LDAOptimizer: Initializer for the optimizer.
initialize(TaskScheduler, SchedulerBackend) - Method in interface org.apache.spark.scheduler.ExternalClusterManager: Initialize task scheduler and backend scheduler.
initialize(MutableAggregationBuffer) - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

Initializes the given aggregation buffer, i.e.
initializeApplication() - Method in interface org.apache.spark.shuffle.api.ShuffleDriverComponents: Called once in the driver to bootstrap this module that is specific to this application.
Initialized() - Static method in class org.apache.spark.rdd.CheckpointState
INITIALIZED - Enum constant in enum class org.apache.spark.streaming.StreamingContextState: The context has been created, but not been started yet.
initializeExecutor(String, String, Map<String, String>) - Method in interface org.apache.spark.shuffle.api.ShuffleExecutorComponents: Called once per executor to bootstrap this module with state that is specific to that executor, specifically the application ID and executor ID.
initialOffset() - Method in interface org.apache.spark.sql.connector.read.streaming.SparkDataStream: Returns the initial offset for a streaming query to start reading from.
initialState(JavaPairRDD<KeyType, StateType>) - Method in class org.apache.spark.streaming.StateSpec: Set the RDD containing the initial states that will be used by mapWithState
initialState(RDD<Tuple2<KeyType, StateType>>) - Method in class org.apache.spark.streaming.StateSpec: Set the RDD containing the initial states that will be used by mapWithState
initialValue - Static variable in interface org.apache.spark.sql.connector.metric.CustomMetric: The initial value of this metric.
initialValue() - Method in class org.apache.spark.partial.PartialResult
initialWeights() - Method in class org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel
initialWeights() - Method in class org.apache.spark.ml.classification.MultilayerPerceptronClassifier
initialWeights() - Method in interface org.apache.spark.ml.classification.MultilayerPerceptronParams: The initial weights of the model.
initiateFallbackFetchForPushMergedBlock(BlockId, BlockManagerId) - Method in class org.apache.spark.storage.PushBasedFetchHelper: This is executed by the task thread when the iterator.next() is invoked and the iterator processes a response of type: 1) ShuffleBlockFetcherIterator.SuccessFetchResult 2) ShuffleBlockFetcherIterator.FallbackOnPushMergedFailureResult 3) ShuffleBlockFetcherIterator.PushMergedRemoteMetaFailedFetchResult
initMetricsValues(CustomTaskMetric[]) - Method in interface org.apache.spark.sql.connector.read.PartitionReader: Sets the initial value of metrics before fetching any data from the reader.
initMode() - Method in class org.apache.spark.ml.clustering.KMeans
initMode() - Method in class org.apache.spark.ml.clustering.KMeansModel
initMode() - Method in interface org.apache.spark.ml.clustering.KMeansParams: Param for the initialization algorithm.
initMode() - Method in class org.apache.spark.ml.clustering.PowerIterationClustering
initMode() - Method in interface org.apache.spark.ml.clustering.PowerIterationClusteringParams: Param for the initialization algorithm.
initModel(DenseVector<Object>, Random) - Method in interface org.apache.spark.ml.ann.Layer: Returns the instance of the layer with random generated weights.
initStd() - Method in class org.apache.spark.ml.classification.FMClassificationModel
initStd() - Method in class org.apache.spark.ml.classification.FMClassifier
initStd() - Method in interface org.apache.spark.ml.regression.FactorizationMachinesParams: Param for standard deviation of initial coefficients
initStd() - Method in class org.apache.spark.ml.regression.FMRegressionModel
initStd() - Method in class org.apache.spark.ml.regression.FMRegressor
initSteps() - Method in class org.apache.spark.ml.clustering.KMeans
initSteps() - Method in class org.apache.spark.ml.clustering.KMeansModel
initSteps() - Method in interface org.apache.spark.ml.clustering.KMeansParams: Param for the number of steps for the k-means|| initialization mode.
injectCheckRule(Function1<SparkSession, Function1<LogicalPlan, BoxedUnit>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject an check analysis Rule builder into the SparkSession.
injectColumnar(Function1<SparkSession, ColumnarRule>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a rule that can override the columnar execution of an executor.
injectFunction(Tuple3<FunctionIdentifier, ExpressionInfo, Function1<Seq<Expression>, Expression>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Injects a custom function into the FunctionRegistry at runtime for all sessions.
injectHintResolutionRule(Function1<SparkSession, Rule<LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject an analyzer hint resolution rule builder into the SparkSession.
injectOptimizerRule(Function1<SparkSession, Rule<LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject an optimizer Rule builder into the SparkSession.
injectParser(Function2<SparkSession, ParserInterface, ParserInterface>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a custom parser into the SparkSession.
injectPlannerStrategy(Function1<SparkSession, SparkStrategy>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a planner Strategy builder into the SparkSession.
injectPlanNormalizationRule(Function1<SparkSession, Rule<LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a plan normalization Rule builder into the SparkSession.
injectPostHocResolutionRule(Function1<SparkSession, Rule<LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject an analyzer Rule builder into the SparkSession.
injectPreCBORule(Function1<SparkSession, Rule<LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject an optimizer Rule builder that rewrites logical plans into the SparkSession.
injectQueryPostPlannerStrategyRule(Function1<SparkSession, Rule<SparkPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a rule that applied between plannerStrategy and queryStagePrepRules, so it can get the whole plan before injecting exchanges.
injectQueryStageOptimizerRule(Function1<SparkSession, Rule<SparkPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a rule that can override the query stage optimizer phase of adaptive query execution.
injectQueryStagePrepRule(Function1<SparkSession, Rule<SparkPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a rule that can override the query stage preparation phase of adaptive query execution.
injectResolutionRule(Function1<SparkSession, Rule<LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject an analyzer resolution Rule builder into the SparkSession.
injectRuntimeOptimizerRule(Function1<SparkSession, Rule<LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Inject a runtime Rule builder into the SparkSession.
injectTableFunction(Tuple3<FunctionIdentifier, ExpressionInfo, Function1<Seq<Expression>, LogicalPlan>>) - Method in class org.apache.spark.sql.SparkSessionExtensions: Injects a custom function into the TableFunctionRegistry at runtime for all sessions.
inline(Column) - Static method in class org.apache.spark.sql.functions: Creates a new row for each element in the given array of structs.
inline(Column) - Method in class org.apache.spark.sql.TableValuedFunction: Creates a DataFrame containing a new row for each element in the given array of structs.
inline_outer(Column) - Static method in class org.apache.spark.sql.functions: Creates a new row for each element in the given array of structs.
inline_outer(Column) - Method in class org.apache.spark.sql.TableValuedFunction: Creates a DataFrame containing a new row for each element in the given array of structs.
inNative() - Method in class org.apache.spark.status.api.v1.ThreadStackTrace
INNER_JOIN - Enum constant in enum class org.apache.spark.sql.connector.join.JoinType
InnerClosureFinder - Class in org.apache.spark.util
InnerClosureFinder(Set<Class<?>>) - Constructor for class org.apache.spark.util.InnerClosureFinder
innerJoin(EdgeRDD<ED2>, Function4<Object, Object, ED, ED2, ED3>, ClassTag<ED2>, ClassTag<ED3>) - Method in class org.apache.spark.graphx.EdgeRDD: Inner joins this EdgeRDD with another EdgeRDD, assuming both are partitioned using the same PartitionStrategy.
innerJoin(EdgeRDD<ED2>, Function4<Object, Object, ED, ED2, ED3>, ClassTag<ED2>, ClassTag<ED3>) - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl
innerJoin(RDD<Tuple2<Object, U>>, Function3<Object, VD, U, VD2>, ClassTag, ClassTag<VD2>) - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
innerJoin(RDD<Tuple2<Object, U>>, Function3<Object, VD, U, VD2>, ClassTag, ClassTag<VD2>) - Method in class org.apache.spark.graphx.VertexRDD: Inner joins this VertexRDD with an RDD containing vertex attribute pairs.
innerZipJoin(VertexRDD, Function3<Object, VD, U, VD2>, ClassTag, ClassTag<VD2>) - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
innerZipJoin(VertexRDD, Function3<Object, VD, U, VD2>, ClassTag, ClassTag<VD2>) - Method in class org.apache.spark.graphx.VertexRDD: Efficiently inner joins this VertexRDD with another VertexRDD sharing the same index.
INOUT - Enum constant in enum class org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter.Mode
inPlace() - Method in interface org.apache.spark.ml.ann.Layer: If true, the memory is not allocated for the output of this layer.
InProcessLauncher - Class in org.apache.spark.launcher: In-process launcher for Spark applications.
InProcessLauncher() - Constructor for class org.apache.spark.launcher.InProcessLauncher
input() - Method in class org.apache.spark.ml.TransformStart
INPUT() - Static method in class org.apache.spark.ui.ToolTips
INPUT_BYTES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
INPUT_BYTES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
INPUT_BYTES_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
INPUT_BYTES_READ_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
input_file_block_length() - Static method in class org.apache.spark.sql.functions: Returns the length of the block being read, or -1 if not available.
input_file_block_start() - Static method in class org.apache.spark.sql.functions: Returns the start offset of the block being read, or -1 if not available.
input_file_name() - Static method in class org.apache.spark.sql.functions: Creates a string column for the file name of the current Spark task.
INPUT_METRICS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
INPUT_METRICS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
INPUT_METRICS_PREFIX() - Static method in class org.apache.spark.InternalAccumulator
INPUT_RECORDS() - Static method in class org.apache.spark.status.TaskIndexNames
INPUT_RECORDS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
INPUT_RECORDS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
INPUT_RECORDS_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
INPUT_RECORDS_READ_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
INPUT_ROWS_PER_SECOND_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
INPUT_SIZE() - Static method in class org.apache.spark.status.TaskIndexNames
input$() - Constructor for class org.apache.spark.InternalAccumulator.input$
inputBytes() - Method in class org.apache.spark.status.api.v1.ExecutorMetricsDistributions
inputBytes() - Method in class org.apache.spark.status.api.v1.ExecutorStageSummary
inputBytes() - Method in class org.apache.spark.status.api.v1.StageData
inputCol() - Method in class org.apache.spark.ml.feature.Binarizer
inputCol() - Method in class org.apache.spark.ml.feature.Bucketizer
inputCol() - Method in class org.apache.spark.ml.feature.CountVectorizer
inputCol() - Method in class org.apache.spark.ml.feature.CountVectorizerModel
inputCol() - Method in class org.apache.spark.ml.feature.HashingTF
inputCol() - Method in class org.apache.spark.ml.feature.IDF
inputCol() - Method in class org.apache.spark.ml.feature.IDFModel
inputCol() - Method in class org.apache.spark.ml.feature.Imputer
inputCol() - Method in class org.apache.spark.ml.feature.ImputerModel
inputCol() - Method in class org.apache.spark.ml.feature.IndexToString
inputCol() - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSH
inputCol() - Method in class org.apache.spark.ml.feature.BucketedRandomProjectionLSHModel
inputCol() - Method in class org.apache.spark.ml.feature.MaxAbsScaler
inputCol() - Method in class org.apache.spark.ml.feature.MaxAbsScalerModel
inputCol() - Method in class org.apache.spark.ml.feature.MinMaxScaler
inputCol() - Method in class org.apache.spark.ml.feature.MinMaxScalerModel
inputCol() - Method in class org.apache.spark.ml.feature.OneHotEncoder
inputCol() - Method in class org.apache.spark.ml.feature.OneHotEncoderModel
inputCol() - Method in class org.apache.spark.ml.feature.PCA
inputCol() - Method in class org.apache.spark.ml.feature.PCAModel
inputCol() - Method in class org.apache.spark.ml.feature.QuantileDiscretizer
inputCol() - Method in class org.apache.spark.ml.feature.RobustScaler
inputCol() - Method in class org.apache.spark.ml.feature.RobustScalerModel
inputCol() - Method in class org.apache.spark.ml.feature.StandardScaler
inputCol() - Method in class org.apache.spark.ml.feature.StandardScalerModel
inputCol() - Method in class org.apache.spark.ml.feature.StopWordsRemover
inputCol() - Method in class org.apache.spark.ml.feature.StringIndexer
inputCol() - Method in class org.apache.spark.ml.feature.StringIndexerModel
inputCol() - Method in class org.apache.spark.ml.feature.TargetEncoder
inputCol() - Method in class org.apache.spark.ml.feature.TargetEncoderModel
inputCol() - Method in class org.apache.spark.ml.feature.VectorIndexer
inputCol() - Method in class org.apache.spark.ml.feature.VectorIndexerModel
inputCol() - Method in class org.apache.spark.ml.feature.VectorSizeHint
inputCol() - Method in class org.apache.spark.ml.feature.VectorSlicer
inputCol() - Method in class org.apache.spark.ml.feature.Word2Vec
inputCol() - Method in class org.apache.spark.ml.feature.Word2VecModel
inputCol() - Method in interface org.apache.spark.ml.param.shared.HasInputCol: Param for input column name.
inputCol() - Method in class org.apache.spark.ml.UnaryTransformer
inputCols() - Method in class org.apache.spark.ml.feature.Binarizer
inputCols() - Method in class org.apache.spark.ml.feature.Bucketizer
inputCols() - Method in class org.apache.spark.ml.feature.FeatureHasher
inputCols() - Method in class org.apache.spark.ml.feature.Imputer
inputCols() - Method in class org.apache.spark.ml.feature.ImputerModel
inputCols() - Method in class org.apache.spark.ml.feature.Interaction
inputCols() - Method in class org.apache.spark.ml.feature.OneHotEncoder
inputCols() - Method in class org.apache.spark.ml.feature.OneHotEncoderModel
inputCols() - Method in class org.apache.spark.ml.feature.QuantileDiscretizer
inputCols() - Method in class org.apache.spark.ml.feature.StopWordsRemover
inputCols() - Method in class org.apache.spark.ml.feature.StringIndexer
inputCols() - Method in class org.apache.spark.ml.feature.StringIndexerModel
inputCols() - Method in class org.apache.spark.ml.feature.TargetEncoder
inputCols() - Method in class org.apache.spark.ml.feature.TargetEncoderModel
inputCols() - Method in class org.apache.spark.ml.feature.VectorAssembler
inputCols() - Method in interface org.apache.spark.ml.param.shared.HasInputCols: Param for input column names.
inputDStream() - Method in class org.apache.spark.streaming.api.java.JavaInputDStream
inputDStream() - Method in class org.apache.spark.streaming.api.java.JavaPairInputDStream
InputDStream<T> - Class in org.apache.spark.streaming.dstream: This is the abstract base class for all input streams.
InputDStream(StreamingContext, ClassTag<T>) - Constructor for class org.apache.spark.streaming.dstream.InputDStream
inputFeatures() - Method in interface org.apache.spark.ml.feature.TargetEncoderBase
InputFileBlockHolder - Class in org.apache.spark.rdd: This holds file names of the current Spark task.
InputFileBlockHolder() - Constructor for class org.apache.spark.rdd.InputFileBlockHolder
inputFiles() - Method in class org.apache.spark.sql.Dataset: Returns a best-effort snapshot of the files that compose this Dataset.
inputFormatClazz() - Method in class org.apache.spark.scheduler.InputFormatInfo
inputFormatClazz() - Method in class org.apache.spark.scheduler.SplitInfo
InputFormatInfo - Class in org.apache.spark.scheduler: :: DeveloperApi :: Parses and holds information about inputFormat (and files) specified as a parameter.
InputFormatInfo(Configuration, Class<?>, String) - Constructor for class org.apache.spark.scheduler.InputFormatInfo
InputMetricDistributions - Class in org.apache.spark.status.api.v1
inputMetrics() - Method in class org.apache.spark.status.api.v1.TaskMetricDistributions
inputMetrics() - Method in class org.apache.spark.status.api.v1.TaskMetrics
InputMetrics - Class in org.apache.spark.status.api.v1
InputPartition - Interface in org.apache.spark.sql.connector.read: A serializable representation of an input partition returned by Batch.planInputPartitions() and the corresponding ones in streaming .
inputRecords() - Method in class org.apache.spark.status.api.v1.ExecutorMetricsDistributions
inputRecords() - Method in class org.apache.spark.status.api.v1.ExecutorStageSummary
inputRecords() - Method in class org.apache.spark.status.api.v1.StageData
inputRowsPerSecond() - Method in class org.apache.spark.sql.streaming.SourceProgress
inputRowsPerSecond() - Method in class org.apache.spark.sql.streaming.StreamingQueryProgress: The aggregate (across all sources) rate of data arriving.
inputSchema() - Method in class org.apache.spark.sql.expressions.UserDefinedAggregateFunction: Deprecated.

A StructType represents data types of input arguments of this aggregate function.
inputSize() - Method in class org.apache.spark.status.api.v1.streaming.BatchInfo
inputStreamId() - Method in class org.apache.spark.streaming.scheduler.StreamInputInfo
inputTypes() - Method in interface org.apache.spark.sql.connector.catalog.functions.BoundFunction: Returns the required data types of the input values to this function.
inRange(double, double) - Static method in class org.apache.spark.ml.param.ParamValidators: Version of `inRange()` which uses inclusive be default: [lowerBound, upperBound]
inRange(double, double, boolean, boolean) - Static method in class org.apache.spark.ml.param.ParamValidators: Check for value in range lowerBound to upperBound.
insert(Dataset<Row>, boolean) - Method in interface org.apache.spark.sql.sources.InsertableRelation
insert(Map<String, Column>) - Method in class org.apache.spark.sql.WhenNotMatched: Specifies an action to insert non-matched rows into the DataFrame with the provided column assignments.
insert(T) - Method in interface org.apache.spark.sql.connector.write.DeltaWriter: Inserts a new row.
INSERT - Enum constant in enum class org.apache.spark.sql.connector.catalog.TableWritePrivilege: The privilege for adding rows to the table.
InsertableRelation - Interface in org.apache.spark.sql.sources: A BaseRelation that can be used to insert data into it through the insert method.
insertAll() - Method in class org.apache.spark.sql.WhenNotMatched: Specifies an action to insert all non-matched rows into the DataFrame.
insertInto(String) - Method in class org.apache.spark.sql.DataFrameWriter: Inserts the content of the DataFrame to the specified table.
insertIntoTable(String, StructField[]) - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Returns an Insert SQL statement template for inserting a row into the target table via JDBC conn.
insertIntoTable(String, StructField[]) - Static method in class org.apache.spark.sql.jdbc.NoopDialect
inShutdown() - Static method in class org.apache.spark.util.ShutdownHookManager: Detect whether this thread might be executing a shutdown hook.
inspect(Object) - Static method in class org.apache.spark.util.IndylambdaScalaClosures
instance() - Method in class org.apache.spark.ml.LoadInstanceEnd
instance() - Static method in class org.apache.spark.mllib.tree.impurity.Entropy: Get this impurity instance.
instance() - Static method in class org.apache.spark.mllib.tree.impurity.Gini: Get this impurity instance.
instance() - Static method in class org.apache.spark.mllib.tree.impurity.Variance: Get this impurity instance.
INSTANCE - Static variable in class org.apache.spark.serializer.DummySerializerInstance
INSTANT() - Static method in class org.apache.spark.sql.Encoders: Creates an encoder that serializes instances of the java.time.Instant class to the internal representation of nullable Catalyst's TimestampType.
instantiateSerializerFromConf(ConfigEntry<String>, SparkConf, boolean) - Static method in class org.apache.spark.util.Utils
instantiateSerializerOrShuffleManager(String, SparkConf, boolean) - Static method in class org.apache.spark.util.Utils
instr(Column, String) - Static method in class org.apache.spark.sql.functions: Locate the position of the first occurrence of substr column in the given string.
instr(Column, Column) - Static method in class org.apache.spark.sql.functions: Locate the position of the first occurrence of substr column in the given string.
INT() - Static method in class org.apache.spark.sql.Encoders: An encoder for nullable int type.
IntArrayParam - Class in org.apache.spark.ml.param: Specialized version of Param[Array[Int} for Java.
IntArrayParam(Params, String, String) - Constructor for class org.apache.spark.ml.param.IntArrayParam
IntArrayParam(Params, String, String, Function1<int[], Object>) - Constructor for class org.apache.spark.ml.param.IntArrayParam
intColumn(String[]) - Static method in class org.apache.parquet.filter2.predicate.SparkFilterApi
IntegerExactNumeric - Class in org.apache.spark.sql.types
IntegerExactNumeric() - Constructor for class org.apache.spark.sql.types.IntegerExactNumeric
IntegerType - Class in org.apache.spark.sql.types: The data type representing Int values.
IntegerType - Static variable in class org.apache.spark.sql.types.DataTypes: Gets the IntegerType object.
IntegerType() - Constructor for class org.apache.spark.sql.types.IntegerType
IntegerTypeExpression - Class in org.apache.spark.sql.types
IntegerTypeExpression() - Constructor for class org.apache.spark.sql.types.IntegerTypeExpression
IntegralTypeExpression - Class in org.apache.spark.sql.types
IntegralTypeExpression() - Constructor for class org.apache.spark.sql.types.IntegralTypeExpression
INTER_JOB_WAIT_MS() - Static method in class org.apache.spark.ui.UIWorkloadGenerator
interact(Term) - Static method in class org.apache.spark.ml.feature.Dot
interact(Term) - Static method in class org.apache.spark.ml.feature.EmptyTerm
interact(Term) - Method in interface org.apache.spark.ml.feature.InteractableTerm: Interactions of interactable terms.
interact(Term) - Method in interface org.apache.spark.ml.feature.Term: Default interactions of a Term
InteractableTerm - Interface in org.apache.spark.ml.feature: A term that may be part of an interaction, e.g.
Interaction - Class in org.apache.spark.ml.feature: Implements the feature interaction transform.
Interaction() - Constructor for class org.apache.spark.ml.feature.Interaction
Interaction(String) - Constructor for class org.apache.spark.ml.feature.Interaction
intercept() - Method in class org.apache.spark.ml.classification.FMClassificationModel
intercept() - Method in class org.apache.spark.ml.classification.LinearSVCModel
intercept() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel: The model intercept for "binomial" logistic regression.
intercept() - Method in class org.apache.spark.ml.regression.AFTSurvivalRegressionModel
intercept() - Method in class org.apache.spark.ml.regression.FMRegressionModel
intercept() - Method in class org.apache.spark.ml.regression.GeneralizedLinearRegressionModel
intercept() - Method in class org.apache.spark.ml.regression.LinearRegressionModel
intercept() - Method in class org.apache.spark.mllib.classification.impl.GLMClassificationModel.SaveLoadV1_0$.Data
intercept() - Method in class org.apache.spark.mllib.classification.LogisticRegressionModel
intercept() - Method in class org.apache.spark.mllib.classification.SVMModel
intercept() - Method in class org.apache.spark.mllib.regression.GeneralizedLinearModel
intercept() - Method in class org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0$.Data
intercept() - Method in class org.apache.spark.mllib.regression.LassoModel
intercept() - Method in class org.apache.spark.mllib.regression.LinearRegressionModel
intercept() - Method in class org.apache.spark.mllib.regression.RidgeRegressionModel
interceptVector() - Method in class org.apache.spark.ml.classification.LogisticRegressionModel
intermediateStorageLevel() - Method in class org.apache.spark.ml.recommendation.ALS
intermediateStorageLevel() - Method in interface org.apache.spark.ml.recommendation.ALSParams: Param for StorageLevel for intermediate datasets.
InternalAccumulator - Class in org.apache.spark: A collection of fields and methods concerned with internal accumulators that represent task level metrics.
InternalAccumulator() - Constructor for class org.apache.spark.InternalAccumulator
InternalAccumulator.input$ - Class in org.apache.spark
InternalAccumulator.output$ - Class in org.apache.spark
InternalAccumulator.shuffleRead$ - Class in org.apache.spark
InternalAccumulator.shuffleWrite$ - Class in org.apache.spark
internalError(String) - Static method in exception org.apache.spark.SparkException
internalError(String, String) - Static method in exception org.apache.spark.SparkException
internalError(String, Throwable) - Static method in exception org.apache.spark.SparkException
internalError(String, QueryContext[], String) - Static method in exception org.apache.spark.SparkException
internalError(String, QueryContext[], String, Option<String>) - Static method in exception org.apache.spark.SparkException
internalGetValueMap() - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel
internalGetValueMap() - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.JobExecutionStatus
internalGetValueMap() - Static method in enum class org.apache.spark.status.protobuf.StoreTypes.StageStatus
InternalKMeansModelWriter - Class in org.apache.spark.ml.clustering: A writer for KMeans that handles the "internal" (or default) format
InternalKMeansModelWriter() - Constructor for class org.apache.spark.ml.clustering.InternalKMeansModelWriter
InternalLinearRegressionModelWriter - Class in org.apache.spark.ml.regression: A writer for LinearRegression that handles the "internal" (or default) format
InternalLinearRegressionModelWriter() - Constructor for class org.apache.spark.ml.regression.InternalLinearRegressionModelWriter
InternalNode - Class in org.apache.spark.ml.tree: Internal Decision Tree node.
internOption(Option<Object>) - Static method in class org.apache.spark.util.AccumulatorContext: Naive way to reduce the duplicate Some objects for values 0 and -1 TODO: Eventually if this spreads out to more values then using Guava's weak interner would be a better solution.
interruptAll() - Method in class org.apache.spark.sql.SparkSession: Request to interrupt all currently running operations of this session.
InterruptibleIterator<T> - Class in org.apache.spark: :: DeveloperApi :: An iterator that wraps around an existing iterator to provide task killing functionality.
InterruptibleIterator(TaskContext, Iterator<T>) - Constructor for class org.apache.spark.InterruptibleIterator
interruptOperation(String) - Method in class org.apache.spark.sql.SparkSession: Request to interrupt an operation of this session, given its operation ID.
interruptTag(String) - Method in class org.apache.spark.sql.SparkSession: Request to interrupt all currently running operations of this session with the given job tag.
interruptThread() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.KillTask
interruptThread() - Method in class org.apache.spark.scheduler.local.KillTask
intersect(Dataset<T>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset containing rows only in both this Dataset and another Dataset.
intersectAll(Dataset<T>) - Method in class org.apache.spark.sql.Dataset: Returns a new Dataset containing rows only in both this Dataset and another Dataset while preserving the duplicates.
intersectInPlace(BloomFilter) - Method in class org.apache.spark.util.sketch.BloomFilter: Combines this bloom filter with another bloom filter by performing a bitwise AND of the underlying data.
intersection(JavaDoubleRDD) - Method in class org.apache.spark.api.java.JavaDoubleRDD: Return the intersection of this RDD and another one.
intersection(JavaPairRDD<K, V>) - Method in class org.apache.spark.api.java.JavaPairRDD: Return the intersection of this RDD and another one.
intersection(JavaRDD<T>) - Method in class org.apache.spark.api.java.JavaRDD: Return the intersection of this RDD and another one.
intersection(RDD<T>) - Method in class org.apache.spark.rdd.RDD: Return the intersection of this RDD and another one.
intersection(RDD<T>, int) - Method in class org.apache.spark.rdd.RDD: Return the intersection of this RDD and another one.
intersection(RDD<T>, Partitioner, Ordering<T>) - Method in class org.apache.spark.rdd.RDD: Return the intersection of this RDD and another one.
INTERVAL_DS() - Static method in class org.apache.spark.sql.jdbc.OracleDialect
INTERVAL_YM() - Static method in class org.apache.spark.sql.jdbc.OracleDialect
IntParam - Class in org.apache.spark.ml.param: Specialized version of Param[Int] for Java.
IntParam - Class in org.apache.spark.util: An extractor object for parsing strings into integers.
IntParam() - Constructor for class org.apache.spark.util.IntParam
IntParam(String, String, String) - Constructor for class org.apache.spark.ml.param.IntParam
IntParam(String, String, String, Function1<Object, Object>) - Constructor for class org.apache.spark.ml.param.IntParam
IntParam(Identifiable, String, String) - Constructor for class org.apache.spark.ml.param.IntParam
IntParam(Identifiable, String, String, Function1<Object, Object>) - Constructor for class org.apache.spark.ml.param.IntParam
INVALID - Enum constant in enum class org.apache.spark.sql.connector.catalog.constraints.Constraint.ValidationStatus
invalidateSerializedMapOutputStatusCache() - Method in class org.apache.spark.ShuffleStatus: Clears the cached serialized map output statuses.
invalidateSerializedMergeOutputStatusCache() - Method in class org.apache.spark.ShuffleStatus: Clears the cached serialized merge result statuses.
invalidateTable(Identifier) - Method in class org.apache.spark.sql.connector.catalog.DelegatingCatalogExtension
invalidateTable(Identifier) - Method in interface org.apache.spark.sql.connector.catalog.TableCatalog: Invalidate cached table metadata for an identifier.
invalidateView(Identifier) - Method in interface org.apache.spark.sql.connector.catalog.ViewCatalog: Invalidate cached view metadata for an identifier.
inverse() - Method in class org.apache.spark.ml.feature.DCT: Indicates whether to perform the inverse DCT (true) or forward DCT (false).
inverse(double[], int) - Static method in class org.apache.spark.mllib.linalg.CholeskyDecomposition: Computes the inverse of a real symmetric positive definite matrix A using the Cholesky factorization A = U**T*U.
Inverse$() - Constructor for class org.apache.spark.ml.regression.GeneralizedLinearRegression.Inverse$
invoke(Object, Method, Object[]) - Static method in class org.apache.spark.serializer.DummyInvocationHandler
invokeWriteReplace(Object) - Method in class org.apache.spark.serializer.SerializationDebugger.ObjectStreamClassMethods
ioEncryptionKey() - Method in class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.SparkAppConfig
IS_ACTIVE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
IS_ACTIVE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
IS_ACTIVE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
IS_BLACKLISTED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
IS_BLACKLISTED_FOR_STAGE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
IS_EXCLUDED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
IS_EXCLUDED_FOR_STAGE_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
IS_SHUFFLE_PUSH_ENABLED_FIELD_NUMBER - Static variable in class org.apache.spark.status.protobuf.StoreTypes.StageData
is_valid_utf8(Column) - Static method in class org.apache.spark.sql.functions: Returns true if the input is a valid UTF-8 string, otherwise returns false.
is_variant_null(Column) - Static method in class org.apache.spark.sql.functions: Check if a variant value is a variant null.
is32BitDecimalType(DataType) - Static method in class org.apache.spark.sql.types.DecimalType: Returns if dt is a DecimalType that fits inside an int
is64BitDecimalType(DataType) - Static method in class org.apache.spark.sql.types.DecimalType: Returns if dt is a DecimalType that fits inside a long
isActive() - Method in interface org.apache.spark.sql.streaming.StreamingQuery: Returns true if this query is actively running.
isActive() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
isActive() - Method in class org.apache.spark.status.api.v1.ProcessSummary
isActive() - Method in class org.apache.spark.status.api.v1.streaming.ReceiverInfo
isAddIntercept() - Method in class org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm: Get if the algorithm uses addIntercept
isAllowed(Enumeration.Value, Enumeration.Value) - Static method in class org.apache.spark.scheduler.TaskLocality
isAllowExplicitInsert() - Method in class org.apache.spark.sql.connector.catalog.IdentityColumnSpec
isBarrier() - Method in class org.apache.spark.storage.RDDInfo
isBatchingEnabled(SparkConf, boolean) - Static method in class org.apache.spark.streaming.util.WriteAheadLogUtils
isBindCollision(Throwable) - Static method in class org.apache.spark.util.Utils: Return whether the exception is caused by an address-port collision when binding.
isBlacklisted() - Method in class org.apache.spark.status.api.v1.ExecutorSummary: Deprecated.
use isExcluded instead. Since 3.1.0.
isBlacklistedForStage() - Method in class org.apache.spark.status.api.v1.ExecutorStageSummary: Deprecated.
use isExcludedForStage instead. Since 3.1.0.
isBlank(String) - Method in interface org.apache.spark.util.SparkStringUtils
isBlank(String) - Static method in class org.apache.spark.util.Utils
isBroadcast() - Method in class org.apache.spark.storage.BlockId
isBucket() - Method in class org.apache.spark.sql.catalog.Column
isByteArrayDecimalType(DataType) - Static method in class org.apache.spark.sql.types.DecimalType: Returns if dt is a DecimalType that doesn't fit inside a long
isCached() - Method in class org.apache.spark.storage.BlockStatus
isCached() - Method in class org.apache.spark.storage.RDDInfo
isCached(String) - Method in class org.apache.spark.sql.catalog.Catalog: Returns true if the table is currently cached in-memory.
isCached(String) - Method in class org.apache.spark.sql.SQLContext: Returns true if the table is currently cached in-memory.
isCancelled() - Method in class org.apache.spark.ComplexFutureAction
isCancelled() - Method in interface org.apache.spark.FutureAction: Returns whether the action has been cancelled.
isCancelled() - Method in class org.apache.spark.SimpleFutureAction
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.AggregatedDialect
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.DB2Dialect
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.DerbyDialect
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.JdbcDialect: Return Some[true] iff TRUNCATE TABLE causes cascading default.
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.MsSqlServerDialect
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.MySQLDialect
isCascadingTruncateTable() - Static method in class org.apache.spark.sql.jdbc.NoopDialect
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.OracleDialect
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.PostgresDialect
isCascadingTruncateTable() - Method in class org.apache.spark.sql.jdbc.TeradataDialect
isCheckpointed() - Method in interface org.apache.spark.api.java.JavaRDDLike: Return whether this RDD has been checkpointed or not
isCheckpointed() - Method in class org.apache.spark.graphx.Graph: Return whether this Graph has been checkpointed or not.
isCheckpointed() - Method in class org.apache.spark.graphx.impl.EdgeRDDImpl
isCheckpointed() - Method in class org.apache.spark.graphx.impl.GraphImpl
isCheckpointed() - Method in class org.apache.spark.graphx.impl.VertexRDDImpl
isCheckpointed() - Method in class org.apache.spark.rdd.RDD: Return whether this RDD is checkpointed and materialized, either reliably or locally.
isClientMode(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils
isCluster() - Method in class org.apache.spark.sql.catalog.Column
isColMajor() - Method in interface org.apache.spark.ml.linalg.Matrix: Indicates whether the values backing this matrix are arranged in column major order.
isCompatible(BloomFilter) - Method in class org.apache.spark.util.sketch.BloomFilter: Determines whether a given bloom filter is compatible with this bloom filter.
isCompleted() - Method in class org.apache.spark.BarrierTaskContext
isCompleted() - Method in class org.apache.spark.ComplexFutureAction
isCompleted() - Method in interface org.apache.spark.FutureAction: Returns whether the action has already been completed with a value or an exception.
isCompleted() - Method in class org.apache.spark.SimpleFutureAction
isCompleted() - Method in class org.apache.spark.TaskContext: Returns true if the task has completed.
isDaemon() - Method in class org.apache.spark.status.api.v1.ThreadStackTrace
isDataAvailable() - Method in class org.apache.spark.sql.streaming.StreamingQueryStatus
isDefined(Param<?>) - Method in interface org.apache.spark.ml.param.Params: Checks whether a param is explicitly set or has a default value.
isDeterministic() - Method in interface org.apache.spark.sql.connector.catalog.functions.BoundFunction: Returns whether this function result is deterministic.
isDeterministic() - Method in interface org.apache.spark.sql.connector.catalog.procedures.BoundProcedure: Indicates whether this procedure is deterministic.
isDistinct() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Avg
isDistinct() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Count
isDistinct() - Method in class org.apache.spark.sql.connector.expressions.aggregate.GeneralAggregateFunc
isDistinct() - Method in class org.apache.spark.sql.connector.expressions.aggregate.Sum
isDistinct() - Method in class org.apache.spark.sql.connector.expressions.aggregate.UserDefinedAggregateFunc
isDistributed() - Method in class org.apache.spark.ml.clustering.DistributedLDAModel
isDistributed() - Method in class org.apache.spark.ml.clustering.LDAModel: Indicates whether this instance is of type DistributedLDAModel
isDistributed() - Method in class org.apache.spark.ml.clustering.LocalLDAModel
isDriver() - Method in class org.apache.spark.storage.BlockManagerId
isDynamicAllocationEnabled(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils: Return whether dynamic allocation is enabled in the given conf.
isEmpty() - Method in interface org.apache.spark.api.java.JavaRDDLike
isEmpty() - Method in class org.apache.spark.rdd.RDD
isEmpty() - Method in class org.apache.spark.sql.Dataset: Returns true if the Dataset is empty.
isEmpty() - Method in class org.apache.spark.sql.types.Metadata: Tests whether this Metadata is empty.
isEmpty() - Method in class org.apache.spark.sql.util.CaseInsensitiveStringMap
isEmpty(String) - Method in interface org.apache.spark.util.SparkStringUtils
isEmpty(String) - Static method in class org.apache.spark.util.Utils
isEmpty(Map<K, V>) - Method in interface org.apache.spark.util.SparkCollectionUtils
isEncryptionEnabled(JavaSparkContext) - Static method in class org.apache.spark.api.r.RUtils
isExcluded() - Method in class org.apache.spark.status.api.v1.ExecutorSummary
isExcluded() - Method in class org.apache.spark.status.LiveExecutorStageSummary
isExcludedForStage() - Method in class org.apache.spark.status.api.v1.ExecutorStageSummary
IsExecutorAlive(String) - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.IsExecutorAlive
IsExecutorAlive(String) - Constructor for class org.apache.spark.storage.BlockManagerMessages.IsExecutorAlive
IsExecutorAlive$() - Constructor for class org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.IsExecutorAlive$
IsExecutorAlive$() - Constructor for class org.apache.spark.storage.BlockManagerMessages.IsExecutorAlive$
isExecutorStartupConf(String) - Static method in class org.apache.spark.SparkConf: Return whether the given config should be passed to an executor on start-up.
isExperiment() - Method in class org.apache.spark.mllib.stat.test.BinarySample
isFailed() - Method in class org.apache.spark.BarrierTaskContext
isFailed() - Method in class org.apache.spark.TaskContext: Returns true if the task has failed.
isFailed(Enumeration.Value) - Static method in class org.apache.spark.TaskState
isFatalError(Throwable) - Static method in class org.apache.spark.util.Utils: Returns true if the given exception was fatal.
isFile(Path) - Static method in class org.apache.spark.ml.image.SamplePathFilter
isFileSplittable(Path, CompressionCodecFactory) - Static method in class org.apache.spark.util.Utils: Check whether the file of the path is splittable.
isFinal() - Method in enum class org.apache.spark.launcher.SparkAppHandle.State: Whether this state is a final state, meaning the application is not running anymore once it's reached.
isFinished(Enumeration.Value) - Static method in class org.apache.spark.TaskState
isFunctionCatalog() - Method in class org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
isG1GC() - Static method in class org.apache.spark.util.Utils
isGeographyField(Field) - Static method in class org.apache.spark.sql.util.ArrowUtils
isGeometryField(Field) - Static method in class org.apache.spark.sql.util.ArrowUtils
isGlobalKrbDebugEnabled() - Static method in class org.apache.spark.util.SecurityUtils
isIgnorableException(Throwable) - Method in interface org.apache.spark.util.ListenerBus: Allows bus implementations to prevent error logging for certain exceptions.
isin(Object...) - Method in class org.apache.spark.sql.Column: A boolean expression that is evaluated to true if the value of this expression is contained by the evaluated values of the arguments.
isin(Dataset<?>) - Method in class org.apache.spark.sql.Column: A boolean expression that is evaluated to true if the value of this expression is contained by the provided Dataset/DataFrame.
isin(Seq<Object>) - Method in class org.apache.spark.sql.Column: A boolean expression that is evaluated to true if the value of this expression is contained by the evaluated values of the arguments.
isInCollection(Iterable<?>) - Method in class org.apache.spark.sql.Column: A boolean expression that is evaluated to true if the value of this expression is contained by the provided collection.
isInCollection(Iterable<?>) - Method in class org.apache.spark.sql.Column: A boolean expression that is evaluated to true if the value of this expression is contained by the provided collection.
isInDirectory(File, File) - Static method in class org.apache.spark.util.Utils: Return whether the specified file is a parent directory of the child file.
isIndylambdaScalaClosure(SerializedLambda) - Static method in class org.apache.spark.util.IndylambdaScalaClosures
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.AccumulableInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationAttemptInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationEnvironmentInfoWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ApplicationInfoWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.AppSummary
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.CachedQuantile
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorPeakMetricsDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorResourceRequest
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummary
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorStageSummaryWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetricDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.InputMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobData
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.JobDataWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.MemoryMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetricDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.OutputMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.PairStrings
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.PoolData
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummary
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDDataDistribution
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationClusterWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationEdge
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationGraphWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDOperationNode
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDPartitionInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RDDStorageInfoWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceInformation
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ResourceProfileWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.RuntimeInfo
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetricDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShufflePushReadMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetricDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleReadMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetricDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.ShuffleWriteMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SinkProgress
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SourceProgress
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphClusterWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphEdge
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNode
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummary
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SpeculationStageSummaryWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.SQLPlanMetric
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageData
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamBlockData
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryData
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskData
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskDataWrapper
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetricDistributions
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskMetrics
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest.Builder
isInitialized() - Method in class org.apache.spark.status.protobuf.StoreTypes.TaskResourceRequest
isInitialValueFinal() - Method in class org.apache.spark.partial.PartialResult
isInnerClassCtorCapturingOuter(int, String, String, String, String) - Static method in class org.apache.spark.util.IndylambdaScalaClosures: Check if the callee of a call site is a inner class constructor.
isInRunningSparkTask() - Static method in class org.apache.spark.util.Utils: Returns if the current codes are running in a Spark task, e.g., in executors.
isInternalError() - Method in interface org.apache.spark.SparkThrowable
isInternalError(String) - Static method in class org.apache.spark.SparkThrowableHelper
isInterrupted() - Method in class org.apache.spark.BarrierTaskContext
isInterrupted() - Method in class org.apache.spark.TaskContext: Returns true if the task has been killed.
isJavaVersionAtLeast21() - Method in interface org.apache.spark.util.SparkSystemUtils: Whether the underlying Java version is at least 21.
isJavaVersionAtLeast21() - Static method in class org.apache.spark.util.Utils
isJavaVersionAtMost17() - Method in interface org.apache.spark.util.SparkSystemUtils: Whether the underlying Java version is at most 17.
isJavaVersionAtMost17() - Static method in class org.apache.spark.util.Utils
isK8s(String) - Static method in class org.apache.spark.SparkMasterRegex
isK8s(Option<String>) - Static method in class org.apache.spark.SparkMasterRegex
isLambdaBodyCapturingOuter(Handle, String) - Static method in class org.apache.spark.util.IndylambdaScalaClosures: Check if the handle represents a target method that is: - a STATIC method that implements a Scala lambda body in the indylambda style - captures the enclosing this, i.e.
isLambdaMetafactory(Handle) - Static method in class org.apache.spark.util.IndylambdaScalaClosures: Check if the handle represents the LambdaMetafactory that indylambda Scala closures use for creating the lambda class and getting a closure instance.
isLargerBetter() - Method in class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
isLargerBetter() - Method in class org.apache.spark.ml.evaluation.ClusteringEvaluator
isLargerBetter() - Method in class org.apache.spark.ml.evaluation.Evaluator: Indicates whether the metric returned by evaluate should be maximized (true, default) or minimized (false).
isLargerBetter() - Method in class org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
isLargerBetter() - Method in class org.apache.spark.ml.evaluation.MultilabelClassificationEvaluator
isLargerBetter() - Method in class org.apache.spark.ml.evaluation.RankingEvaluator
isLargerBetter() - Method in class org.apache.spark.ml.evaluation.RegressionEvaluator
isLeaf() - Method in class org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.NodeData
isLeaf() - Method in class org.apache.spark.mllib.tree.model.Node
isLeftChild(int) - Static method in class org.apache.spark.mllib.tree.model.Node: Returns true if this is a left child.
isLinux() - Method in interface org.apache.spark.util.SparkSystemUtils: Whether the underlying operating system is Linux.
isLinux() - Static method in class org.apache.spark.util.Utils
isLocal() - Method in class org.apache.spark.api.java.JavaSparkContext
isLocal() - Method in class org.apache.spark.SparkContext
isLocal() - Method in class org.apache.spark.sql.Dataset: Returns true if the collect and take methods can be run locally (without any Spark executors).
isLocalMaster(ReadOnlySparkConf) - Static method in class org.apache.spark.util.Utils
isLocalPushMergedBlockAddress(BlockManagerId) - Method in class org.apache.spark.storage.PushBasedFetchHelper: Returns true if the address is of a push-merged-local block.
isLocalUri(String) - Static method in class org.apache.spark.util.Utils: Returns whether the URI is a "local:" URI.
isMac() - Method in interface org.apache.spark.util.SparkSystemUtils: Whether the underlying operating system is Mac OS X.
isMac() - Static method in class org.apache.spark.util.Utils
isMacOnAppleSilicon() - Method in interface org.apache.spark.util.SparkSystemUtils: Whether the underlying operating system is Mac OS X and processor is Apple Silicon.
isMacOnAppleSilicon() - Static method in class org.apache.spark.util.Utils
isMixedSrid() - Method in class org.apache.spark.sql.types.GeographyType: The GeographyType is a mixed SRID type iff the SRID is MIXED_SRID.
isMixedSrid() - Method in class org.apache.spark.sql.types.GeometryType: The GeometryType is a mixed SRID type iff the SRID is MIXED_SRID.
isModifiable(String) - Method in class org.apache.spark.sql.RuntimeConfig: Indicates whether the configuration property with the given key is modifiable in the current session.
isMoreConstrained(StringType, StringType) - Static method in class org.apache.spark.sql.types.StringHelper
isMulticlassClassification() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
isMulticlassWithCategoricalFeatures() - Method in class org.apache.spark.mllib.tree.configuration.Strategy
isMultipleOf(Duration) - Method in class org.apache.spark.streaming.Duration
isMultipleOf(Duration) - Method in class org.apache.spark.streaming.Time
isnan(Column) - Static method in class org.apache.spark.sql.functions: Return true iff the column is NaN.
isNaN() - Method in class org.apache.spark.sql.Column: True if the current expression is NaN.
isNominal() - Method in class org.apache.spark.ml.attribute.Attribute: Tests whether this attribute is nominal, true for NominalAttribute and BinaryAttribute.
isNominal() - Method in class org.apache.spark.ml.attribute.BinaryAttribute
isNominal() - Method in class org.apache.spark.ml.attribute.NominalAttribute
isNominal() - Method in class org.apache.spark.ml.attribute.NumericAttribute
isNominal() - Static method in class org.apache.spark.ml.attribute.UnresolvedAttribute
isNotBlank(String) - Method in interface org.apache.spark.util.SparkStringUtils
isNotBlank(String) - Static method in class org.apache.spark.util.Utils
isNotEmpty(String) - Method in interface org.apache.spark.util.SparkStringUtils
isNotEmpty(String) - Static method in class org.apache.spark.util.Utils
isNotEmpty(Map<K, V>) - Method in interface org.apache.spark.util.SparkCollectionUtils
isnotnull(Column) - Static method in class org.apache.spark.sql.functions: Returns true if col is not null, or false otherwise.
isNotNull() - Method in class org.apache.spark.sql.Column: True if the current expression is NOT null.
IsNotNull - Class in org.apache.spark.sql.sources: A filter that evaluates to true iff the attribute evaluates to a non-null value.
IsNotNull(String) - Constructor for class org.apache.spark.sql.sources.IsNotNull
isnull(Column) - Static method in class org.apache.spark.sql.functions: Return true iff the column is null.
isNull() - Method in class org.apache.spark.sql.Column: True if the current expression is null.
IsNull - Class in org.apache.spark.sql.sources: A filter that evaluates to true iff the attribute evaluates to null.
IsNull(String) - Constructor for class org.apache.spark.sql.sources.IsNull
isNullable() - Method in interface org.apache.spark.sql.connector.catalog.MetadataColumn
isNullable() - Method in class org.apache.spark.sql.connector.catalog.TableChange.AddColumn
isNullAt(int) - Method in interface org.apache.spark.sql.Row: Checks whether the value at position i is null.
isNullAt(int) - Method in class org.apache.spark.sql.vectorized.ArrowColumnVector
isNullAt(int) - Method in class org.apache.spark.sql.vectorized.ColumnarArray
isNullAt(int) - Method in class org.apache.spark.sql.vectorized.ColumnarBatchRow
isNullAt(int) - Method in class org.apache.spark.sql.vectorized.ColumnarRow
isNullAt(int) - Method in class org.apache.spark.sql.vectorized.ColumnVector: Returns whether the value at rowId is NULL.
isNumeric() - Method in class org.apache.spark.ml.attribute.Attribute: Tests whether this attribute is numeric, true for NumericAttribute and BinaryAttribute.
isNumeric() - Method in class org.apache.spark.ml.attribute.BinaryAttribute
isNumeric() - Method in class org.apache.spark.ml.attribute.NominalAttribute
isNumeric() - Method in class org.apache.spark.ml.attribute.NumericAttribute
isNumeric() - Static method in class org.apache.spark.ml.attribute.UnresolvedAttribute
isObjectNotFoundException(SQLException) - Method in class org.apache.spark.sql.jdbc.DatabricksDialect
isObjectNotFoundException(SQLException) - Method in class org.apache.spark.sql.jdbc.