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:

java.io.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.SparkShellLoggingFilter

Constructor Summary

Constructors

Constructor and 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 and Description
scala.collection.Iterator<U>	compute(Partition partition, 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.

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 Object

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

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

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

Constructor Detail

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 Detail

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()

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.

The partitions in this array must satisfy the following property: rdd.partitions.zipWithIndex.forall { case (partition, index) => partition.index == index }

Returns:

(undocumented)