org.apache.spark.rdd

Class NewHadoopRDD<K,V>

Object

org.apache.spark.rdd.RDD<scala.Tuple2<K,V>>

org.apache.spark.rdd.NewHadoopRDD<K,V>

All Implemented Interfaces:

java.io.Serializable, Logging

public class NewHadoopRDD<K,V>
extends RDD<scala.Tuple2<K,V>>
implements Logging

:: DeveloperApi :: An RDD that provides core functionality for reading data stored in Hadoop (e.g., files in HDFS, sources in HBase, or S3), using the new MapReduce API (org.apache.hadoop.mapreduce).

Note: Instantiating this class directly is not recommended, please use org.apache.spark.SparkContext.newAPIHadoopRDD()

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NewHadoopRDD(SparkContext sc, Class<? extends org.apache.hadoop.mapreduce.InputFormat<K,V>> inputFormatClass, Class<K> keyClass, Class<V> valueClass, org.apache.hadoop.conf.Configuration conf)

Method Summary

Methods

Modifier and Type	Method and Description
InterruptibleIterator<scala.Tuple2<K,V>>	compute(Partition theSplit, TaskContext context) :: DeveloperApi :: Implemented by subclasses to compute a given partition.
org.apache.hadoop.conf.Configuration	getConf()
Partition[]	getPartitions() Implemented by subclasses to return the set of partitions in this RDD.
scala.collection.Seq<String>	getPreferredLocations(Partition split) Optionally overridden by subclasses to specify placement preferences.

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

aggregate, cache, cartesian, checkpoint, checkpointData, coalesce, collect, collect, context, count, countApprox, countApproxDistinct, countByValue, countByValueApprox, creationSiteInfo, dependencies, distinct, distinct, filter, filterWith, first, flatMap, flatMapWith, fold, foreach, foreachPartition, foreachWith, getCheckpointFile, getStorageLevel, glom, groupBy, groupBy, groupBy, id, intersection, intersection, intersection, isCheckpointed, iterator, keyBy, map, mapPartitions, mapPartitionsWithContext, mapPartitionsWithIndex, mapPartitionsWithSplit, mapWith, max, min, name, partitioner, partitions, persist, persist, pipe, pipe, pipe, preferredLocations, randomSplit, reduce, repartition, sample, saveAsObjectFile, saveAsTextFile, saveAsTextFile, setName, sparkContext, subtract, subtract, subtract, take, takeOrdered, takeSample, toArray, toDebugString, toJavaRDD, toLocalIterator, top, toString, 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

initialized, initializeIfNecessary, initializeLogging, initLock, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logTrace, logTrace, logWarning, logWarning

Constructor Detail

NewHadoopRDD

public NewHadoopRDD(SparkContext sc,
            Class<? extends org.apache.hadoop.mapreduce.InputFormat<K,V>> inputFormatClass,
            Class<K> keyClass,
            Class<V> valueClass,
            org.apache.hadoop.conf.Configuration conf)

Method Detail

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.

compute

public InterruptibleIterator<scala.Tuple2<K,V>> compute(Partition theSplit,
                                               TaskContext context)

Description copied from class: RDD

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

Specified by:

compute in class RDD<scala.Tuple2<K,V>>

getPreferredLocations

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

Description copied from class: RDD

Optionally overridden by subclasses to specify placement preferences.

getConf

public org.apache.hadoop.conf.Configuration getConf()