com.datastax.spark.connector.japi.rdd
CassandraJavaPairRDD
Related Doc:
package rdd
(cassandraJavaPairRDD: RDD[(K, V)]).aggregate(zeroValue)(seqOp, combOp)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).cache()
(cassandraJavaPairRDD: RDD[(K, V)]).cartesian(other)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).checkpoint()
(cassandraJavaPairRDD: RDD[(K, V)]).coalesce(numPartitions, shuffle)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).collect(f)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).collect()
(cassandraJavaPairRDD: RDD[(K, V)]).context
(cassandraJavaPairRDD: RDD[(K, V)]).count()
(cassandraJavaPairRDD: RDD[(K, V)]).countApprox(timeout, confidence)
(cassandraJavaPairRDD: RDD[(K, V)]).countApproxDistinct(relativeSD)
(cassandraJavaPairRDD: RDD[(K, V)]).countApproxDistinct(p, sp)
(cassandraJavaPairRDD: RDD[(K, V)]).countByValue()(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).countByValueApprox(timeout, confidence)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).distinct()
(cassandraJavaPairRDD: RDD[(K, V)]).distinct(numPartitions)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).filter(f)
(cassandraJavaPairRDD: RDD[(K, V)]).first()
(cassandraJavaPairRDD: RDD[(K, V)]).flatMap(f)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).fold(zeroValue)(op)
(cassandraJavaPairRDD: RDD[(K, V)]).foreach(f)
(cassandraJavaPairRDD: RDD[(K, V)]).foreachPartition(f)
(cassandraJavaPairRDD: RDD[(K, V)]).getCheckpointFile
(cassandraJavaPairRDD: RDD[(K, V)]).getStorageLevel
(cassandraJavaPairRDD: RDD[(K, V)]).glom()
(cassandraJavaPairRDD: RDD[(K, V)]).groupBy(f, p)(kt, ord)
(cassandraJavaPairRDD: RDD[(K, V)]).groupBy(f, numPartitions)(kt)
(cassandraJavaPairRDD: RDD[(K, V)]).groupBy(f)(kt)
(cassandraJavaPairRDD: RDD[(K, V)]).id
(cassandraJavaPairRDD: RDD[(K, V)]).intersection(other, numPartitions)
(cassandraJavaPairRDD: RDD[(K, V)]).intersection(other, partitioner)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).intersection(other)
(cassandraJavaPairRDD: RDD[(K, V)]).isCheckpointed
(cassandraJavaPairRDD: RDD[(K, V)]).isEmpty()
(cassandraJavaPairRDD: RDD[(K, V)]).iterator(split, context)
(cassandraJavaPairRDD: RDD[(K, V)]).keyBy(f)
(cassandraJavaPairRDD: RDD[(K, V)]).map(f)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).mapPartitions(f, preservesPartitioning)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).mapPartitionsWithIndex(f, preservesPartitioning)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).max()(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).min()(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).name
(cassandraJavaPairRDD: RDD[(K, V)]).partitioner
(cassandraJavaPairRDD: RDD[(K, V)]).partitions
(cassandraJavaPairRDD: RDD[(K, V)]).persist()
(cassandraJavaPairRDD: RDD[(K, V)]).persist(newLevel)
(cassandraJavaPairRDD: RDD[(K, V)]).pipe(command, env, printPipeContext, printRDDElement, separateWorkingDir)
(cassandraJavaPairRDD: RDD[(K, V)]).pipe(command, env)
(cassandraJavaPairRDD: RDD[(K, V)]).pipe(command)
(cassandraJavaPairRDD: RDD[(K, V)]).reduce(f)
(cassandraJavaPairRDD: RDD[(K, V)]).repartition(numPartitions)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).sample(withReplacement, fraction, seed)
(cassandraJavaPairRDD: RDD[(K, V)]).saveAsObjectFile(path)
(cassandraJavaPairRDD: RDD[(K, V)]).saveAsTextFile(path, codec)
(cassandraJavaPairRDD: RDD[(K, V)]).saveAsTextFile(path)
(cassandraJavaPairRDD: RDD[(K, V)]).setName(_name)
(cassandraJavaPairRDD: RDD[(K, V)]).subtract(other, p)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).subtract(other, numPartitions)
(cassandraJavaPairRDD: RDD[(K, V)]).subtract(other)
(cassandraJavaPairRDD: RDD[(K, V)]).take(num)
(cassandraJavaPairRDD: RDD[(K, V)]).takeOrdered(num)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).takeSample(withReplacement, num, seed)
(cassandraJavaPairRDD: RDD[(K, V)]).toDebugString
(cassandraJavaPairRDD: RDD[(K, V)]).toLocalIterator
(cassandraJavaPairRDD: RDD[(K, V)]).toString()
(cassandraJavaPairRDD: RDD[(K, V)]).top(num)(ord)
(cassandraJavaPairRDD: RDD[(K, V)]).treeAggregate(zeroValue)(seqOp, combOp, depth)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).treeReduce(f, depth)
(cassandraJavaPairRDD: RDD[(K, V)]).union(other)
(cassandraJavaPairRDD: RDD[(K, V)]).unpersist(blocking)
(cassandraJavaPairRDD: RDD[(K, V)]).zip(other)(arg0)
(cassandraJavaPairRDD: RDD[(K, V)]).zipPartitions(rdd2, rdd3, rdd4)(f)(arg0, arg1, arg2, arg3)
(cassandraJavaPairRDD: RDD[(K, V)]).zipPartitions(rdd2, rdd3, rdd4, preservesPartitioning)(f)(arg0, arg1, arg2, arg3)
(cassandraJavaPairRDD: RDD[(K, V)]).zipPartitions(rdd2, rdd3)(f)(arg0, arg1, arg2)
(cassandraJavaPairRDD: RDD[(K, V)]).zipPartitions(rdd2, rdd3, preservesPartitioning)(f)(arg0, arg1, arg2)
(cassandraJavaPairRDD: RDD[(K, V)]).zipPartitions(rdd2)(f)(arg0, arg1)
(cassandraJavaPairRDD: RDD[(K, V)]).zipPartitions(rdd2, preservesPartitioning)(f)(arg0, arg1)
(cassandraJavaPairRDD: RDD[(K, V)]).zipWithIndex()
(cassandraJavaPairRDD: RDD[(K, V)]).zipWithUniqueId()
(Since version 1.0.0) use mapPartitionsWithIndex and filter
(Since version 1.0.0) use mapPartitionsWithIndex and flatMap
(Since version 1.0.0) use mapPartitionsWithIndex and foreach
(Since version 1.2.0) use TaskContext.get
(Since version 0.7.0) use mapPartitionsWithIndex
(Since version 1.0.0) use mapPartitionsWithIndex
(Since version 1.1.0) Use partitions() instead.
(cassandraJavaPairRDD: RDD[(K, V)]).toArray()
(Since version 1.0.0) use collect
(Since version 1.0.0) use collect()