org.apache.spark.rdd

Class FlatMappedValuesRDD<K,V,U>

Object

org.apache.spark.rdd.RDD<scala.Tuple2<K,U>>

org.apache.spark.rdd.FlatMappedValuesRDD<K,V,U>

All Implemented Interfaces:

java.io.Serializable, Logging

public class FlatMappedValuesRDD<K,V,U>
extends RDD<scala.Tuple2<K,U>>

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
FlatMappedValuesRDD(RDD<? extends scala.Product2<K,V>> prev, scala.Function1<V,scala.collection.TraversableOnce<U>> f)

Method Summary

Methods

Modifier and Type	Method and Description
scala.collection.Iterator<scala.Tuple2<K,U>>	compute(Partition split, TaskContext context) :: DeveloperApi :: Implemented by subclasses to compute a given partition.
Partition[]	getPartitions() Implemented by subclasses to return the set of partitions in this RDD.
scala.Option<Partitioner>	partitioner() Optionally overridden by subclasses to specify how they are partitioned.

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

aggregate, cache, cartesian, checkpoint, checkpointData, coalesce, collect, collect, collectPartitions, computeOrReadCheckpoint, conf, context, count, countApprox, countApproxDistinct, countApproxDistinct, countByValue, countByValueApprox, creationSite, dependencies, distinct, distinct, doCheckpoint, elementClassTag, filter, filterWith, first, flatMap, flatMapWith, fold, foreach, foreachPartition, foreachWith, getCheckpointFile, getCreationSite, getNarrowAncestors, getStorageLevel, glom, groupBy, groupBy, groupBy, id, intersection, intersection, intersection, isCheckpointed, iterator, keyBy, map, mapPartitions, mapPartitionsWithContext, mapPartitionsWithIndex, mapPartitionsWithSplit, mapWith, markCheckpointed, max, min, name, partitions, persist, persist, pipe, pipe, pipe, preferredLocations, randomSplit, reduce, repartition, retag, retag, sample, saveAsObjectFile, saveAsTextFile, saveAsTextFile, setName, sortBy, sparkContext, subtract, subtract, subtract, take, takeOrdered, takeSample, toArray, toDebugString, toJavaRDD, toLocalIterator, top, toString, union, unpersist, zip, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipWithIndex, zipWithUniqueId

Methods inherited from class Object

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

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

FlatMappedValuesRDD

public FlatMappedValuesRDD(RDD<? extends scala.Product2<K,V>> prev,
                   scala.Function1<V,scala.collection.TraversableOnce<U>> f)

Method Detail

getPartitions

public Partition[] getPartitions()

Description copied from class: RDD

Implemented by subclasses to return the set of partitions in this RDD. This method will only be called once, so it is safe to implement a time-consuming computation in it.

partitioner

public scala.Option<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,U>>

compute

public scala.collection.Iterator<scala.Tuple2<K,U>> compute(Partition split,
                                                   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,U>>