Class RFileReaderRDD
- java.lang.Object
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- org.apache.spark.rdd.RDD<Map.Entry<org.apache.accumulo.core.data.Key,org.apache.accumulo.core.data.Value>>
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- uk.gov.gchq.gaffer.sparkaccumulo.operation.rfilereaderrdd.RFileReaderRDD
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- All Implemented Interfaces:
Serializable
,org.apache.spark.internal.Logging
,scala.Serializable
public class RFileReaderRDD extends org.apache.spark.rdd.RDD<Map.Entry<org.apache.accumulo.core.data.Key,org.apache.accumulo.core.data.Value>>
- See Also:
- Serialized Form
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description scala.collection.Iterator<Map.Entry<org.apache.accumulo.core.data.Key,org.apache.accumulo.core.data.Value>>
compute(org.apache.spark.Partition split, org.apache.spark.TaskContext context)
org.apache.spark.Partition[]
getPartitions()
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Methods inherited from class org.apache.spark.rdd.RDD
$plus$plus, aggregate, barrier, cache, cartesian, checkpoint, checkpointData, checkpointData_$eq, clearDependencies, coalesce, coalesce$default$2, coalesce$default$3, coalesce$default$4, collect, collect, collectPartitions, computeOrReadCheckpoint, conf, context, count, countApprox, countApprox$default$2, countApproxDistinct, countApproxDistinct, countApproxDistinct$default$1, countByValue, countByValue$default$1, countByValueApprox, countByValueApprox$default$2, countByValueApprox$default$3, creationSite, dependencies, distinct, distinct, distinct$default$2, doCheckpoint, doubleRDDToDoubleRDDFunctions, elementClassTag, filter, first, firstParent, flatMap, fold, foreach, foreachPartition, getCheckpointFile, getCreationSite, getDependencies, getNarrowAncestors, getNumPartitions, getOrCompute, getOutputDeterministicLevel, getPreferredLocations, getStorageLevel, glom, groupBy, groupBy, groupBy, groupBy$default$4, id, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, intersection, intersection, intersection, intersection$default$3, isBarrier, isBarrier_, isCheckpointed, isCheckpointedAndMaterialized, isEmpty, isLocallyCheckpointed, isReliablyCheckpointed, isTraceEnabled, iterator, keyBy, localCheckpoint, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, map, mapPartitions, mapPartitions$default$2, mapPartitionsInternal, mapPartitionsInternal$default$2, mapPartitionsWithIndex, mapPartitionsWithIndex, mapPartitionsWithIndex$default$2, mapPartitionsWithIndexInternal, mapPartitionsWithIndexInternal$default$2, mapPartitionsWithIndexInternal$default$3, markCheckpointed, max, min, name, name_$eq, numericRDDToDoubleRDDFunctions, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, outputDeterministicLevel, parent, partitioner, partitions, persist, persist, pipe, pipe, pipe, pipe$default$2, pipe$default$3, pipe$default$4, pipe$default$5, pipe$default$6, pipe$default$7, preferredLocations, randomSampleWithRange, randomSplit, randomSplit$default$2, rddToAsyncRDDActions, rddToOrderedRDDFunctions, rddToPairRDDFunctions, rddToPairRDDFunctions$default$4, rddToSequenceFileRDDFunctions, reduce, repartition, repartition$default$2, retag, retag, sample, sample$default$3, saveAsObjectFile, saveAsTextFile, saveAsTextFile, scope, setName, sortBy, sortBy$default$2, sortBy$default$3, sparkContext, subtract, subtract, subtract, subtract$default$3, take, takeOrdered, takeSample, takeSample$default$3, toDebugString, toJavaRDD, toLocalIterator, top, toString, treeAggregate, treeAggregate$default$4, treeReduce, treeReduce$default$2, union, unpersist, unpersist$default$1, withScope, zip, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipPartitions, zipWithIndex, zipWithUniqueId
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Method Detail
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compute
public scala.collection.Iterator<Map.Entry<org.apache.accumulo.core.data.Key,org.apache.accumulo.core.data.Value>> compute(org.apache.spark.Partition split, org.apache.spark.TaskContext context)
- Specified by:
compute
in classorg.apache.spark.rdd.RDD<Map.Entry<org.apache.accumulo.core.data.Key,org.apache.accumulo.core.data.Value>>
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getPartitions
public org.apache.spark.Partition[] getPartitions()
- Specified by:
getPartitions
in classorg.apache.spark.rdd.RDD<Map.Entry<org.apache.accumulo.core.data.Key,org.apache.accumulo.core.data.Value>>
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