Package org.apache.spark.api.r

Class BaseRRDD<T,U>

Object

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

org.apache.spark.api.r.BaseRRDD<T,U>

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging

Direct Known Subclasses:

PairwiseRRDD, RRDD, StringRRDD

public abstract class BaseRRDD<T,U>
extends RDD<U>
implements org.apache.spark.internal.Logging

See Also:

• Serialized Form

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
BaseRRDD(RDD<T> parent, int numPartitions, byte[] func, String deserializer, String serializer, byte[] packageNames, Broadcast<Object>[] broadcastVars, scala.reflect.ClassTag<T> evidence$1, scala.reflect.ClassTag<U> evidence$2)

Method Summary

Modifier and Type	Method	Description
scala.collection.Iterator<U>	compute(Partition partition, TaskContext context)	:: DeveloperApi :: Implemented by subclasses to compute a given partition.
Partition[]	getPartitions()

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, partitioner, 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

BaseRRDD

public BaseRRDD(RDD<T> parent,
 int numPartitions,
 byte[] func,
 String deserializer,
 String serializer,
 byte[] packageNames,
 Broadcast<Object>[] broadcastVars,
 scala.reflect.ClassTag<T> evidence$1,
 scala.reflect.ClassTag<U> evidence$2)

Method Details

compute

public scala.collection.Iterator<U> compute(Partition partition,
 TaskContext context)

Description copied from class: RDD

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

Specified by:

compute in class RDD<U>

Parameters:

partition - (undocumented)

context - (undocumented)

Returns:

(undocumented)

getPartitions

public Partition[] getPartitions()