org.apache.spark

ShuffleDependency

class ShuffleDependency[K, V, C] extends Dependency[Product2[K, V]]

:: DeveloperApi :: Represents a dependency on the output of a shuffle stage. Note that in the case of shuffle, the RDD is transient since we don't need it on the executor side.

Annotations
@DeveloperApi()
Linear Supertypes
Dependency[Product2[K, V]], Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new ShuffleDependency(_rdd: RDD[_ <: Product2[K, V]], partitioner: Partitioner, serializer: Option[Serializer] = scala.None, keyOrdering: Option[Ordering[K]] = scala.None, aggregator: Option[Aggregator[K, V, C]] = scala.None, mapSideCombine: Boolean = false)

    _rdd

    the parent RDD

    partitioner

    partitioner used to partition the shuffle output

    serializer

    Serializer to use. If set to None, the default serializer, as specified by spark.serializer config option, will be used.

    keyOrdering

    key ordering for RDD's shuffles

    aggregator

    map/reduce-side aggregator for RDD's shuffle

    mapSideCombine

    whether to perform partial aggregation (also known as map-side combine)

Value Members

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

    Definition Classes
    AnyRef

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

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  3. final def ##(): Int

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

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

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    Any

  6. val aggregator: Option[Aggregator[K, V, C]]

    map/reduce-side aggregator for RDD's shuffle

  7. final def asInstanceOf[T0]: T0

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    Any

  8. def clone(): AnyRef

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

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  15. val keyOrdering: Option[Ordering[K]]

    key ordering for RDD's shuffles

  16. val mapSideCombine: Boolean

    whether to perform partial aggregation (also known as map-side combine)

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

    Definition Classes
    AnyRef

  18. final def notify(): Unit

    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

    Definition Classes
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  20. val partitioner: Partitioner

    partitioner used to partition the shuffle output

  21. def rdd: RDD[Product2[K, V]]

    Definition Classes
    ShuffleDependency → Dependency

  22. val serializer: Option[Serializer]

    Serializer to use.

    Serializer to use. If set to None, the default serializer, as specified by spark.serializer config option, will be used.

  23. val shuffleHandle: ShuffleHandle

  24. val shuffleId: Int

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

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  26. def toString(): String

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  27. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Dependency[Product2[K, V]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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