Class

com.datastax.spark.connector.rdd

CassandraMergeJoinRDD

Related Doc: package rdd

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class CassandraMergeJoinRDD[L, R] extends RDD[(Seq[L], Seq[R])]

A RDD which pulls from two separate CassandraTableScanRDDs which share partition keys and keyspaces. These tables will be joined on READ using a merge iterator. As long as we join on the token of the partition key the two iterators should be read in order.

Linear Supertypes
RDD[(Seq[L], Seq[R])], Logging, Serializable, Serializable, AnyRef, Any
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  1. CassandraMergeJoinRDD
  2. RDD
  3. Logging
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
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Instance Constructors

  1. new CassandraMergeJoinRDD(sc: SparkContext, leftScanRDD: CassandraTableScanRDD[L], rightScanRDD: CassandraTableScanRDD[R])(implicit leftClassTag: ClassTag[L], rightClassTag: ClassTag[R])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def ++(other: RDD[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. val TokenColumn: String

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  6. def aggregate[U](zeroValue: U)(seqOp: (U, (Seq[L], Seq[R])) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

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    Definition Classes
    RDD

  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. def barrier(): RDDBarrier[(Seq[L], Seq[R])]

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    Definition Classes
    RDD
    Annotations
    @Experimental() @Since( "2.4.0" )

  9. def cache(): CassandraMergeJoinRDD.this.type

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    Definition Classes
    RDD

  10. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((Seq[L], Seq[R]), U)]

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    Definition Classes
    RDD

  11. def checkValidMergeJoin(): Unit

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  12. def checkpoint(): Unit

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    Definition Classes
    RDD

  13. def clearDependencies(): Unit

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    Attributes
    protected
    Definition Classes
    RDD

  14. def clone(): AnyRef

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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  15. def coalesce(numPartitions: Int, shuffle: Boolean, partitionCoalescer: Option[PartitionCoalescer])(implicit ord: Ordering[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  16. def collect[U](f: PartialFunction[(Seq[L], Seq[R]), U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  17. def collect(): Array[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  18. def compute(split: Partition, context: TaskContext): Iterator[(Seq[L], Seq[R])]

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    Definition Classes
    CassandraMergeJoinRDD → RDD
    Annotations
    @DeveloperApi()

  19. val connector: CassandraConnector

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  20. def context: SparkContext

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    Definition Classes
    RDD

  21. def count(): Long

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    Definition Classes
    RDD

  22. def countApprox(timeout: Long, confidence: Double): PartialResult[BoundedDouble]

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    Definition Classes
    RDD

  23. def countApproxDistinct(relativeSD: Double): Long

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    RDD

  24. def countApproxDistinct(p: Int, sp: Int): Long

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    RDD

  25. def countByValue()(implicit ord: Ordering[(Seq[L], Seq[R])]): Map[(Seq[L], Seq[R]), Long]

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    RDD

  26. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[(Seq[L], Seq[R])]): PartialResult[Map[(Seq[L], Seq[R]), BoundedDouble]]

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    Definition Classes
    RDD

  27. final def dependencies: Seq[Dependency[_]]

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    Definition Classes
    RDD

  28. def distinct(): RDD[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  29. def distinct(numPartitions: Int)(implicit ord: Ordering[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  30. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  31. def equals(arg0: Any): Boolean

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    AnyRef → Any

  32. def filter(f: ((Seq[L], Seq[R])) ⇒ Boolean): RDD[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  33. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  34. def first(): (Seq[L], Seq[R])

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    Definition Classes
    RDD

  35. def firstParent[U](implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD

  36. def flatMap[U](f: ((Seq[L], Seq[R])) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  37. def fold(zeroValue: (Seq[L], Seq[R]))(op: ((Seq[L], Seq[R]), (Seq[L], Seq[R])) ⇒ (Seq[L], Seq[R])): (Seq[L], Seq[R])

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    Definition Classes
    RDD

  38. def foreach(f: ((Seq[L], Seq[R])) ⇒ Unit): Unit

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    Definition Classes
    RDD

  39. def foreachPartition(f: (Iterator[(Seq[L], Seq[R])]) ⇒ Unit): Unit

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    Definition Classes
    RDD

  40. def getCheckpointFile: Option[String]

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    Definition Classes
    RDD

  41. final def getClass(): Class[_]

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  42. def getDependencies: Seq[Dependency[_]]

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    Attributes
    protected
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    RDD

  43. final def getNumPartitions: Int

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    Definition Classes
    RDD
    Annotations
    @Since( "1.6.0" )

  44. def getOutputDeterministicLevel: org.apache.spark.rdd.DeterministicLevel.Value

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    protected
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    RDD
    Annotations
    @DeveloperApi()

  45. def getPartitionKey(connector: CassandraConnector, keyspaceName: String, tableName: String): Seq[ColumnDef]

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  46. def getPartitions: Array[Partition]

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    protected
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    CassandraMergeJoinRDD → RDD

  47. def getPreferredLocations(split: Partition): Seq[String]

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    Definition Classes
    CassandraMergeJoinRDD → RDD

  48. def getStorageLevel: StorageLevel

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    RDD

  49. def glom(): RDD[Array[(Seq[L], Seq[R])]]

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    RDD

  50. def groupBy[K](f: ((Seq[L], Seq[R])) ⇒ K, p: Partitioner)(implicit kt: ClassTag[K], ord: Ordering[K]): RDD[(K, Iterable[(Seq[L], Seq[R])])]

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    Definition Classes
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  51. def groupBy[K](f: ((Seq[L], Seq[R])) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[(Seq[L], Seq[R])])]

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    Definition Classes
    RDD

  52. def groupBy[K](f: ((Seq[L], Seq[R])) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[(Seq[L], Seq[R])])]

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    Definition Classes
    RDD

  53. def hashCode(): Int

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  54. val id: Int

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    RDD

  55. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
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    Logging

  56. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected
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    Logging

  57. def intersection(other: RDD[(Seq[L], Seq[R])], numPartitions: Int): RDD[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  58. def intersection(other: RDD[(Seq[L], Seq[R])], partitioner: Partitioner)(implicit ord: Ordering[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  59. def intersection(other: RDD[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    RDD

  60. lazy val isBarrier_: Boolean

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    protected
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    RDD

  61. def isCheckpointed: Boolean

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    RDD

  62. def isEmpty(): Boolean

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    RDD

  63. final def isInstanceOf[T0]: Boolean

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  64. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  65. final def iterator(split: Partition, context: TaskContext): Iterator[(Seq[L], Seq[R])]

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    Definition Classes
    RDD

  66. def keyBy[K](f: ((Seq[L], Seq[R])) ⇒ K): RDD[(K, (Seq[L], Seq[R]))]

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    Definition Classes
    RDD

  67. def localCheckpoint(): CassandraMergeJoinRDD.this.type

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    RDD

  68. def log: Logger

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    Logging

  69. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  70. def logDebug(msg: ⇒ String): Unit

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  71. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  72. def logError(msg: ⇒ String): Unit

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  73. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  74. def logInfo(msg: ⇒ String): Unit

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  75. def logName: String

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    Logging

  76. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  77. def logTrace(msg: ⇒ String): Unit

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    Logging

  78. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  79. def logWarning(msg: ⇒ String): Unit

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    Logging

  80. def map[U](f: ((Seq[L], Seq[R])) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  81. def mapPartitions[U](f: (Iterator[(Seq[L], Seq[R])]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  82. def mapPartitionsWithIndex[U](f: (Int, Iterator[(Seq[L], Seq[R])]) ⇒ Iterator[U], preservesPartitioning: Boolean)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  83. def max()(implicit ord: Ordering[(Seq[L], Seq[R])]): (Seq[L], Seq[R])

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    RDD

  84. def min()(implicit ord: Ordering[(Seq[L], Seq[R])]): (Seq[L], Seq[R])

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  85. var name: String

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    RDD

  86. final def ne(arg0: AnyRef): Boolean

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  87. final def notify(): Unit

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  88. final def notifyAll(): Unit

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  89. def parent[U](j: Int)(implicit arg0: ClassTag[U]): RDD[U]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    RDD

  90. val partitioner: Option[Partitioner]

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    RDD

  91. final def partitions: Array[Partition]

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    RDD

  92. def persist(): CassandraMergeJoinRDD.this.type

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    RDD

  93. def persist(newLevel: StorageLevel): CassandraMergeJoinRDD.this.type

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    Definition Classes
    RDD

  94. def pipe(command: Seq[String], env: Map[String, String], printPipeContext: ((String) ⇒ Unit) ⇒ Unit, printRDDElement: ((Seq[L], Seq[R]), (String) ⇒ Unit) ⇒ Unit, separateWorkingDir: Boolean, bufferSize: Int, encoding: String): RDD[String]

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    Definition Classes
    RDD

  95. def pipe(command: String, env: Map[String, String]): RDD[String]

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    RDD

  96. def pipe(command: String): RDD[String]

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    RDD

  97. final def preferredLocations(split: Partition): Seq[String]

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    RDD

  98. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[(Seq[L], Seq[R])]]

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    RDD

  99. def reduce(f: ((Seq[L], Seq[R]), (Seq[L], Seq[R])) ⇒ (Seq[L], Seq[R])): (Seq[L], Seq[R])

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    RDD

  100. def repartition(numPartitions: Int)(implicit ord: Ordering[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    RDD

  101. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[(Seq[L], Seq[R])]

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  102. def saveAsObjectFile(path: String): Unit

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  103. def saveAsTextFile(path: String, codec: Class[_ <: CompressionCodec]): Unit

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  104. def saveAsTextFile(path: String): Unit

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  105. def setName(_name: String): CassandraMergeJoinRDD.this.type

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  106. def sortBy[K](f: ((Seq[L], Seq[R])) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[(Seq[L], Seq[R])]

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  107. def sparkContext: SparkContext

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  108. def subtract(other: RDD[(Seq[L], Seq[R])], p: Partitioner)(implicit ord: Ordering[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    Definition Classes
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  109. def subtract(other: RDD[(Seq[L], Seq[R])], numPartitions: Int): RDD[(Seq[L], Seq[R])]

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    RDD

  110. def subtract(other: RDD[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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    RDD

  111. final def synchronized[T0](arg0: ⇒ T0): T0

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    AnyRef

  112. def take(num: Int): Array[(Seq[L], Seq[R])]

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    RDD

  113. def takeOrdered(num: Int)(implicit ord: Ordering[(Seq[L], Seq[R])]): Array[(Seq[L], Seq[R])]

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  114. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[(Seq[L], Seq[R])]

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  115. def toDebugString: String

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  116. def toJavaRDD(): JavaRDD[(Seq[L], Seq[R])]

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    RDD

  117. def toLocalIterator: Iterator[(Seq[L], Seq[R])]

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    RDD

  118. def toString(): String

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    RDD → AnyRef → Any

  119. def tokenExtractor(row: Row): Token

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  120. def top(num: Int)(implicit ord: Ordering[(Seq[L], Seq[R])]): Array[(Seq[L], Seq[R])]

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  121. def treeAggregate[U](zeroValue: U)(seqOp: (U, (Seq[L], Seq[R])) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U

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  122. def treeReduce(f: ((Seq[L], Seq[R]), (Seq[L], Seq[R])) ⇒ (Seq[L], Seq[R]), depth: Int): (Seq[L], Seq[R])

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  123. def union(other: RDD[(Seq[L], Seq[R])]): RDD[(Seq[L], Seq[R])]

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  124. def unpersist(blocking: Boolean): CassandraMergeJoinRDD.this.type

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  125. final def wait(): Unit

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    @throws( ... )

  126. final def wait(arg0: Long, arg1: Int): Unit

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  127. final def wait(arg0: Long): Unit

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  128. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((Seq[L], Seq[R]), U)]

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  129. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D])(f: (Iterator[(Seq[L], Seq[R])], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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  130. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D], preservesPartitioning: Boolean)(f: (Iterator[(Seq[L], Seq[R])], Iterator[B], Iterator[C], Iterator[D]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[D], arg3: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD

  131. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[(Seq[L], Seq[R])], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
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  132. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C], preservesPartitioning: Boolean)(f: (Iterator[(Seq[L], Seq[R])], Iterator[B], Iterator[C]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[C], arg2: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD

  133. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[(Seq[L], Seq[R])], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD

  134. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[(Seq[L], Seq[R])], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD

  135. def zipWithIndex(): RDD[((Seq[L], Seq[R]), Long)]

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    Definition Classes
    RDD

  136. def zipWithUniqueId(): RDD[((Seq[L], Seq[R]), Long)]

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    Definition Classes
    RDD

Inherited from RDD[(Seq[L], Seq[R])]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped