public static class HadoopRDD.HadoopMapPartitionsWithSplitRDD<U,T> extends RDD<U>
MapPartitionsRDD
, but passes in an InputSplit to
the given function rather than the index of the partition.Constructor and Description |
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HadoopRDD.HadoopMapPartitionsWithSplitRDD(RDD<T> prev,
scala.Function2<org.apache.hadoop.mapred.InputSplit,scala.collection.Iterator<T>,scala.collection.Iterator<U>> f,
boolean preservesPartitioning,
scala.reflect.ClassTag<U> evidence$2,
scala.reflect.ClassTag<T> evidence$3) |
Modifier and Type | Method and Description |
---|---|
scala.collection.Iterator<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.
|
aggregate, cache, cartesian, checkpoint, checkpointData, coalesce, collect, collect, collectPartitions, 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
initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public HadoopRDD.HadoopMapPartitionsWithSplitRDD(RDD<T> prev, scala.Function2<org.apache.hadoop.mapred.InputSplit,scala.collection.Iterator<T>,scala.collection.Iterator<U>> f, boolean preservesPartitioning, scala.reflect.ClassTag<U> evidence$2, scala.reflect.ClassTag<T> evidence$3)
public scala.Option<Partitioner> partitioner()
RDD
partitioner
in class RDD<U>
public Partition[] getPartitions()
RDD