public static class SourceRDD.Bounded<T>
extends org.apache.spark.rdd.RDD<org.apache.beam.sdk.util.WindowedValue<T>>
SourceRDD.Bounded reads input from a BoundedSource and creates a Spark RDD. This is the default way for the SparkRunner to read data from Beam's BoundedSources.| Constructor and Description |
|---|
Bounded(org.apache.spark.SparkContext sc,
BoundedSource<T> source,
org.apache.beam.runners.core.construction.SerializablePipelineOptions options,
java.lang.String stepName) |
| Modifier and Type | Method and Description |
|---|---|
scala.collection.Iterator<org.apache.beam.sdk.util.WindowedValue<T>> |
compute(org.apache.spark.Partition split,
org.apache.spark.TaskContext context) |
org.apache.spark.Partition[] |
getPartitions() |
$plus$plus, aggregate, barrier, cache, cartesian, checkpoint, checkpointData_$eq, checkpointData, cleanShuffleDependencies, cleanShuffleDependencies$default$1, clearDependencies, coalesce, coalesce$default$2, coalesce$default$3, coalesce$default$4, collect, collect, collectPartitions, computeOrReadCheckpoint, conf, context, count, countApprox, countApprox$default$2, countApproxDistinct, countApproxDistinct, countApproxDistinct$default$1, countByValue, countByValue$default$1, countByValueApprox, countByValueApprox$default$2, countByValueApprox$default$3, creationSite, dependencies, distinct, distinct, distinct$default$2, doCheckpoint, doubleRDDToDoubleRDDFunctions, elementClassTag, filter, first, firstParent, flatMap, fold, foreach, foreachPartition, getCheckpointFile, getCreationSite, getDependencies, getNarrowAncestors, getNumPartitions, getOrCompute, getOutputDeterministicLevel, getPreferredLocations, getResourceProfile, getStorageLevel, glom, groupBy, groupBy, groupBy, groupBy$default$4, id, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, intersection, intersection, intersection, intersection$default$3, isBarrier_, isBarrier, isCheckpointed, isCheckpointedAndMaterialized, isEmpty, isLocallyCheckpointed, isReliablyCheckpointed, isTraceEnabled, iterator, keyBy, localCheckpoint, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, map, mapPartitions, mapPartitions$default$2, mapPartitionsInternal, mapPartitionsInternal$default$2, mapPartitionsWithIndex, mapPartitionsWithIndex, mapPartitionsWithIndex$default$2, mapPartitionsWithIndexInternal, mapPartitionsWithIndexInternal$default$2, mapPartitionsWithIndexInternal$default$3, markCheckpointed, max, min, name_$eq, name, numericRDDToDoubleRDDFunctions, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, outputDeterministicLevel, parent, partitioner, partitions, persist, persist, pipe, pipe, pipe, pipe$default$2, pipe$default$3, pipe$default$4, pipe$default$5, pipe$default$6, pipe$default$7, preferredLocations, randomSampleWithRange, randomSplit, randomSplit$default$2, rddToAsyncRDDActions, rddToOrderedRDDFunctions, rddToPairRDDFunctions, rddToPairRDDFunctions$default$4, rddToSequenceFileRDDFunctions, reduce, repartition, repartition$default$2, retag, retag, sample, sample$default$3, saveAsObjectFile, saveAsTextFile, saveAsTextFile, scope, setName, sortBy, sortBy$default$2, sortBy$default$3, sparkContext, subtract, subtract, subtract, subtract$default$3, take, takeOrdered, takeSample, takeSample$default$3, toDebugString, toJavaRDD, toLocalIterator, top, toString, treeAggregate, treeAggregate$default$4, treeReduce, treeReduce$default$2, union, unpersist, unpersist$default$1, withResources, withScope, zip, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipWithIndex, zipWithUniqueIdpublic Bounded(org.apache.spark.SparkContext sc,
BoundedSource<T> source,
org.apache.beam.runners.core.construction.SerializablePipelineOptions options,
java.lang.String stepName)
public org.apache.spark.Partition[] getPartitions()
getPartitions in class org.apache.spark.rdd.RDD<org.apache.beam.sdk.util.WindowedValue<T>>