Package org.apache.spark.rdd

Class CoGroupedRDD<K>

Object

org.apache.spark.rdd.RDD<scala.Tuple2<K,scala.collection.Iterable<Object>[]>>

org.apache.spark.rdd.CoGroupedRDD<K>

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging

public class CoGroupedRDD<K>
extends RDD<scala.Tuple2<K,scala.collection.Iterable<Object>[]>>

:: DeveloperApi :: An RDD that cogroups its parents. For each key k in parent RDDs, the resulting RDD contains a tuple with the list of values for that key.

param: rdds parent RDDs. param: part partitioner used to partition the shuffle output

See Also:

• Serialized Form

Note:

This is an internal API. We recommend users use RDD.cogroup(...) instead of instantiating this directly.

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging

org.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter

Constructor Summary

Constructors

Constructor	Description
CoGroupedRDD(scala.collection.immutable.Seq<RDD<? extends scala.Product2<K,?>>> rdds, Partitioner part, scala.reflect.ClassTag<K> evidence$1)

Method Summary

Modifier and Type	Method	Description
void	clearDependencies()
scala.collection.Iterator<scala.Tuple2<K,scala.collection.Iterable<Object>[]>>	compute(Partition s, TaskContext context)	:: DeveloperApi :: Implemented by subclasses to compute a given partition.
scala.collection.immutable.Seq<Dependency<?>>	getDependencies()
Partition[]	getPartitions()
scala.Some<Partitioner>	partitioner()	Optionally overridden by subclasses to specify how they are partitioned.
scala.collection.immutable.Seq<RDD<? extends scala.Product2<K,?>>>	rdds()
CoGroupedRDD<K>	setSerializer(Serializer serializer)	Set a serializer for this RDD's shuffle, or null to use the default (spark.serializer)

Methods inherited from class org.apache.spark.rdd.RDD

aggregate, barrier, cache, cartesian, checkpoint, cleanShuffleDependencies, coalesce, collect, collect, context, count, countApprox, countApproxDistinct, countApproxDistinct, countByValue, countByValueApprox, dependencies, distinct, distinct, doubleRDDToDoubleRDDFunctions, filter, first, flatMap, fold, foreach, foreachPartition, getCheckpointFile, getNumPartitions, getResourceProfile, getStorageLevel, glom, groupBy, groupBy, groupBy, id, intersection, intersection, intersection, isCheckpointed, isEmpty, iterator, keyBy, localCheckpoint, map, mapPartitions, mapPartitionsWithEvaluator, mapPartitionsWithIndex, max, min, name, numericRDDToDoubleRDDFunctions, partitions, persist, persist, pipe, pipe, pipe, preferredLocations, randomSplit, rddToAsyncRDDActions, rddToOrderedRDDFunctions, rddToPairRDDFunctions, rddToSequenceFileRDDFunctions, reduce, repartition, sample, saveAsObjectFile, saveAsTextFile, saveAsTextFile, setName, sortBy, sparkContext, subtract, subtract, subtract, take, takeOrdered, takeSample, toDebugString, toJavaRDD, toLocalIterator, top, toString, treeAggregate, treeAggregate, treeReduce, union, unpersist, withResources, zip, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitionsWithEvaluator, zipWithIndex, zipWithUniqueId

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.spark.internal.Logging

initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContext

Constructor Details

CoGroupedRDD

public CoGroupedRDD(scala.collection.immutable.Seq<RDD<? extends scala.Product2<K,?>>> rdds,
 Partitioner part,
 scala.reflect.ClassTag<K> evidence$1)

Method Details

clearDependencies

public void clearDependencies()

compute

public scala.collection.Iterator<scala.Tuple2<K,scala.collection.Iterable<Object>[]>> compute(Partition s,
 TaskContext context)

Description copied from class: RDD

:: DeveloperApi :: Implemented by subclasses to compute a given partition.

Specified by:

compute in class RDD<scala.Tuple2<K,scala.collection.Iterable<Object>[]>>

Parameters:

s - (undocumented)

context - (undocumented)

Returns:

(undocumented)

getDependencies

public scala.collection.immutable.Seq<Dependency<?>> getDependencies()

getPartitions

public Partition[] getPartitions()

partitioner

public scala.Some<Partitioner> partitioner()

Description copied from class: RDD

Optionally overridden by subclasses to specify how they are partitioned.

Overrides:

partitioner in class RDD<scala.Tuple2<K,scala.collection.Iterable<Object>[]>>

rdds

public scala.collection.immutable.Seq<RDD<? extends scala.Product2<K,?>>> rdds()

setSerializer

public CoGroupedRDD<K> setSerializer(Serializer serializer)

Set a serializer for this RDD's shuffle, or null to use the default (spark.serializer)