org.apache.spark.rdd

Class ZippedPartitionsBaseRDD<V>

Object

org.apache.spark.rdd.RDD<V>

org.apache.spark.rdd.ZippedPartitionsBaseRDD<V>

All Implemented Interfaces:

java.io.Serializable, Logging

Direct Known Subclasses:

ZippedPartitionsRDD2, ZippedPartitionsRDD3, ZippedPartitionsRDD4

public abstract class ZippedPartitionsBaseRDD<V>
extends RDD<V>

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ZippedPartitionsBaseRDD(SparkContext sc, scala.collection.Seq<RDD<?>> rdds, boolean preservesPartitioning, scala.reflect.ClassTag<V> evidence$1)

Method Summary

Methods

Modifier and Type	Method and Description
void	clearDependencies() Clears the dependencies of this RDD.
Partition[]	getPartitions() Implemented by subclasses to return the set of partitions in this RDD.
scala.collection.Seq<String>	getPreferredLocations(Partition s) Optionally overridden by subclasses to specify placement preferences.
scala.Option<Partitioner>	partitioner() Optionally overridden by subclasses to specify how they are partitioned.
scala.collection.Seq<RDD<?>>	rdds()

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

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

ZippedPartitionsBaseRDD

public ZippedPartitionsBaseRDD(SparkContext sc,
                       scala.collection.Seq<RDD<?>> rdds,
                       boolean preservesPartitioning,
                       scala.reflect.ClassTag<V> evidence$1)

Method Detail

rdds

public scala.collection.Seq<RDD<?>> rdds()

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<V>

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.

getPreferredLocations

public scala.collection.Seq<String> getPreferredLocations(Partition s)

Description copied from class: RDD

Optionally overridden by subclasses to specify placement preferences.

clearDependencies

public void clearDependencies()

Description copied from class: RDD

Clears the dependencies of this RDD. This method must ensure that all references to the original parent RDDs is removed to enable the parent RDDs to be garbage collected. Subclasses of RDD may override this method for implementing their own cleaning logic. See UnionRDD for an example.