Class/Object

com.tresata.spark.sorted

GroupSorted

Related Docs: object GroupSorted | package sorted

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class GroupSorted[K, V] extends RDD[(K, V)]

GroupSorted is a partitioned key-value RDD where the values for a given key are consecutive and within a single partition. The keys are sorted within a partition (using a custom hash based Ordering). The values can also be optionally sorted per key.

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RDD[(K, V)], Logging, Serializable, Serializable, AnyRef, Any
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  1. GroupSorted
  2. RDD
  3. Logging
  4. Serializable
  5. Serializable
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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[(K, V)]): RDD[(K, V)]

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    Definition Classes
    RDD

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

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    Definition Classes
    AnyRef → Any

  5. def aggregate[U](zeroValue: U)(seqOp: (U, (K, V)) ⇒ U, combOp: (U, U) ⇒ U)(implicit arg0: ClassTag[U]): U

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    Definition Classes
    RDD

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def barrier(): RDDBarrier[(K, V)]

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

  8. def cache(): GroupSorted.this.type

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    Definition Classes
    RDD

  9. def cartesian[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((K, V), U)]

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    Definition Classes
    RDD

  10. def checkpoint(): Unit

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    Definition Classes
    RDD

  11. def clearDependencies(): Unit

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    protected
    Definition Classes
    RDD

  12. def clone(): AnyRef

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

  13. def coalesce(numPartitions: Int, shuffle: Boolean, partitionCoalescer: Option[PartitionCoalescer])(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

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    Definition Classes
    RDD

  14. def collect[U](f: PartialFunction[(K, V), U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  15. def collect(): Array[(K, V)]

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    Definition Classes
    RDD

  16. def compute(split: Partition, context: TaskContext): Iterator[(K, V)]

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    Definition Classes
    GroupSorted → RDD

  17. def context: SparkContext

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    Definition Classes
    RDD

  18. def count(): Long

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    Definition Classes
    RDD

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

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    Definition Classes
    RDD

  20. def countApproxDistinct(relativeSD: Double): Long

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    RDD

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

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    Definition Classes
    RDD

  22. def countByValue()(implicit ord: Ordering[(K, V)]): Map[(K, V), Long]

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    Definition Classes
    RDD

  23. def countByValueApprox(timeout: Long, confidence: Double)(implicit ord: Ordering[(K, V)]): PartialResult[Map[(K, V), BoundedDouble]]

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    RDD

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

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    RDD

  25. def distinct(): RDD[(K, V)]

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    RDD

  26. def distinct(numPartitions: Int)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

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    Definition Classes
    RDD

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

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    AnyRef

  28. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  29. def filter(f: ((K, V)) ⇒ Boolean): GroupSorted[K, V]

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    Definition Classes
    GroupSorted → RDD

  30. def finalize(): Unit

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

  31. def first(): (K, V)

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    Definition Classes
    RDD

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

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

  33. def flatMap[U](f: ((K, V)) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  34. def flatMapValues[W](f: (V) ⇒ TraversableOnce[W])(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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  35. def fold(zeroValue: (K, V))(op: ((K, V), (K, V)) ⇒ (K, V)): (K, V)

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    Definition Classes
    RDD

  36. def foldLeftByKey[W](w: W)(f: (W, V) ⇒ W)(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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  37. def foreach(f: ((K, V)) ⇒ Unit): Unit

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    Definition Classes
    RDD

  38. def foreachPartition(f: (Iterator[(K, V)]) ⇒ Unit): Unit

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    Definition Classes
    RDD

  39. def getCheckpointFile: Option[String]

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    Definition Classes
    RDD

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

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
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    RDD

  42. final def getNumPartitions: Int

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    Definition Classes
    RDD
    Annotations
    @Since( "1.6.0" )

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

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    protected
    Definition Classes
    RDD
    Annotations
    @DeveloperApi()

  44. def getPartitions: Array[Partition]

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    Definition Classes
    GroupSorted → RDD

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

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    protected
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    RDD

  46. def getStorageLevel: StorageLevel

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    RDD

  47. def glom(): RDD[Array[(K, V)]]

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    Definition Classes
    RDD

  48. def groupBy[K](f: ((K, V)) ⇒ K, p: Partitioner)(implicit kt: ClassTag[K], ord: Ordering[K]): RDD[(K, Iterable[(K, V)])]

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    Definition Classes
    RDD

  49. def groupBy[K](f: ((K, V)) ⇒ K, numPartitions: Int)(implicit kt: ClassTag[K]): RDD[(K, Iterable[(K, V)])]

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    Definition Classes
    RDD

  50. def groupBy[K](f: ((K, V)) ⇒ K)(implicit kt: ClassTag[K]): RDD[(K, Iterable[(K, V)])]

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    RDD

  51. def hashCode(): Int

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    AnyRef → Any

  52. val id: Int

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    RDD

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

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    Attributes
    protected
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    Logging

  54. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected
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    Logging

  55. def intersection(other: RDD[(K, V)], numPartitions: Int): RDD[(K, V)]

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    Definition Classes
    RDD

  56. def intersection(other: RDD[(K, V)], partitioner: Partitioner)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

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    Definition Classes
    RDD

  57. def intersection(other: RDD[(K, V)]): RDD[(K, V)]

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    RDD

  58. lazy val isBarrier_: Boolean

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    protected
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    RDD

  59. def isCheckpointed: Boolean

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    RDD

  60. def isEmpty(): Boolean

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    RDD

  61. final def isInstanceOf[T0]: Boolean

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    Any

  62. def isTraceEnabled(): Boolean

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    protected
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    Logging

  63. final def iterator(split: Partition, context: TaskContext): Iterator[(K, V)]

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    Definition Classes
    RDD

  64. def keyBy[K](f: ((K, V)) ⇒ K): RDD[(K, (K, V))]

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    Definition Classes
    RDD

  65. val keyOrdering: Ordering[K]

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  66. def localCheckpoint(): GroupSorted.this.type

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    Definition Classes
    RDD

  67. def log: Logger

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  74. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    protected
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    Logging

  79. def map[U](f: ((K, V)) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

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    Definition Classes
    RDD

  80. def mapKeyValuesToValues[W](f: ((K, V)) ⇒ W)(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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

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    Definition Classes
    RDD

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

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    Definition Classes
    RDD

  83. def mapStreamByKey[W, C](c: () ⇒ C)(f: (C, Iterator[V]) ⇒ TraversableOnce[W])(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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  84. def mapStreamByKey[W](f: (Iterator[V]) ⇒ TraversableOnce[W])(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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  85. def mapValues[W](f: (V) ⇒ W)(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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  86. def max()(implicit ord: Ordering[(K, V)]): (K, V)

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    Definition Classes
    RDD

  87. def mergeJoin[W](other: GroupSorted[K, W], bufferLeft: Boolean = false)(implicit arg0: ClassTag[W]): GroupSorted[K, (Option[V], Option[W])]

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  88. def mergeJoin[W, U](other: GroupSorted[K, W], f: (Iterator[V], Iterator[W]) ⇒ TraversableOnce[U])(implicit arg0: ClassTag[W], arg1: ClassTag[U]): GroupSorted[K, U]

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  89. def mergeJoinInner[W](other: GroupSorted[K, W], bufferLeft: Boolean = false)(implicit arg0: ClassTag[W]): GroupSorted[K, (V, W)]

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  90. def mergeJoinLeftOuter[W](other: GroupSorted[K, W], bufferLeft: Boolean = false)(implicit arg0: ClassTag[W]): GroupSorted[K, (V, Option[W])]

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  91. def mergeJoinRightOuter[W](other: GroupSorted[K, W], bufferLeft: Boolean = false)(implicit arg0: ClassTag[W]): GroupSorted[K, (Option[V], W)]

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  92. def mergeUnion(other: GroupSorted[K, V]): GroupSorted[K, V]

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  93. def min()(implicit ord: Ordering[(K, V)]): (K, V)

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    Definition Classes
    RDD

  94. var name: String

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    RDD

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

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  96. final def notify(): Unit

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  97. final def notifyAll(): Unit

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

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

  99. val partitioner: Option[Partitioner]

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    GroupSorted → RDD

  100. final def partitions: Array[Partition]

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    RDD

  101. def persist(): GroupSorted.this.type

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    RDD

  102. def persist(newLevel: StorageLevel): GroupSorted.this.type

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    RDD

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

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    Definition Classes
    RDD

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

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    RDD

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

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    RDD

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

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    RDD

  107. def randomSplit(weights: Array[Double], seed: Long): Array[RDD[(K, V)]]

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    RDD

  108. def reduce(f: ((K, V), (K, V)) ⇒ (K, V)): (K, V)

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    RDD

  109. def reduceLeftByKey[W >: V](f: (W, V) ⇒ W)(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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  110. def repartition(numPartitions: Int)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

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    RDD

  111. def sample(withReplacement: Boolean, fraction: Double, seed: Long): RDD[(K, V)]

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    RDD

  112. def saveAsObjectFile(path: String): Unit

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    RDD

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

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    RDD

  114. def saveAsTextFile(path: String): Unit

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    RDD

  115. def scanLeftByKey[W](w: W)(f: (W, V) ⇒ W)(implicit arg0: ClassTag[W]): GroupSorted[K, W]

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  116. def setName(_name: String): GroupSorted.this.type

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    RDD

  117. def sortBy[K](f: ((K, V)) ⇒ K, ascending: Boolean, numPartitions: Int)(implicit ord: Ordering[K], ctag: ClassTag[K]): RDD[(K, V)]

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    RDD

  118. def sparkContext: SparkContext

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    RDD

  119. def subtract(other: RDD[(K, V)], p: Partitioner)(implicit ord: Ordering[(K, V)]): RDD[(K, V)]

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    RDD

  120. def subtract(other: RDD[(K, V)], numPartitions: Int): RDD[(K, V)]

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    RDD

  121. def subtract(other: RDD[(K, V)]): RDD[(K, V)]

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    RDD

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

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    AnyRef

  123. def take(num: Int): Array[(K, V)]

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    RDD

  124. def takeOrdered(num: Int)(implicit ord: Ordering[(K, V)]): Array[(K, V)]

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    RDD

  125. def takeSample(withReplacement: Boolean, num: Int, seed: Long): Array[(K, V)]

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    RDD

  126. def toDebugString: String

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    RDD

  127. def toJavaRDD(): JavaRDD[(K, V)]

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    RDD

  128. def toLocalIterator: Iterator[(K, V)]

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    RDD

  129. def toString(): String

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    RDD → AnyRef → Any

  130. def top(num: Int)(implicit ord: Ordering[(K, V)]): Array[(K, V)]

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    Definition Classes
    RDD

  131. def treeAggregate[U](zeroValue: U)(seqOp: (U, (K, V)) ⇒ U, combOp: (U, U) ⇒ U, depth: Int)(implicit arg0: ClassTag[U]): U

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  132. def treeReduce(f: ((K, V), (K, V)) ⇒ (K, V), depth: Int): (K, V)

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    RDD

  133. def union(other: RDD[(K, V)]): RDD[(K, V)]

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    RDD

  134. def unpersist(blocking: Boolean): GroupSorted.this.type

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    RDD

  135. val valueOrdering: Option[Ordering[V]]

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  136. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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  139. def zip[U](other: RDD[U])(implicit arg0: ClassTag[U]): RDD[((K, V), U)]

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  140. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D])(f: (Iterator[(K, V)], 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

  141. def zipPartitions[B, C, D, V](rdd2: RDD[B], rdd3: RDD[C], rdd4: RDD[D], preservesPartitioning: Boolean)(f: (Iterator[(K, V)], 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

  142. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C])(f: (Iterator[(K, V)], 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

  143. def zipPartitions[B, C, V](rdd2: RDD[B], rdd3: RDD[C], preservesPartitioning: Boolean)(f: (Iterator[(K, V)], 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

  144. def zipPartitions[B, V](rdd2: RDD[B])(f: (Iterator[(K, V)], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD

  145. def zipPartitions[B, V](rdd2: RDD[B], preservesPartitioning: Boolean)(f: (Iterator[(K, V)], Iterator[B]) ⇒ Iterator[V])(implicit arg0: ClassTag[B], arg1: ClassTag[V]): RDD[V]

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    Definition Classes
    RDD

  146. def zipWithIndex(): RDD[((K, V), Long)]

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    Definition Classes
    RDD

  147. def zipWithUniqueId(): RDD[((K, V), Long)]

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    Definition Classes
    RDD

Inherited from RDD[(K, V)]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped