Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

5.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... ) @native()

6.  def createShuffleSpec(distribution: ClusteredDistribution): ShuffleSpec

   Creates a shuffle spec for this partitioning and its required distribution.

   Creates a shuffle spec for this partitioning and its required distribution. The spec is used in the scenario where an operator has multiple children (e.g., join), and is used to decide whether this child is co-partitioned with others, therefore whether extra shuffle shall be introduced.

   distribution

   the required clustered distribution for this partitioning

   Definition Classes

   SinglePartition → Partitioning

7.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

8.  def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

9.  def finalize(): Unit

   Attributes

   protected[lang]

   Definition Classes

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   Annotations

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

10.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

11.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

12.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

13.  final def notify(): Unit

    Definition Classes

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    Annotations

    @native()

14.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

15.  val numPartitions: Int

    Returns the number of partitions that the data is split across

    Returns the number of partitions that the data is split across

    Definition Classes

    SinglePartition → Partitioning

16.  final def satisfies(required: Distribution): Boolean

    Returns true iff the guarantees made by this Partitioning are sufficient to satisfy the partitioning scheme mandated by the required Distribution, i.e.

    Returns true iff the guarantees made by this Partitioning are sufficient to satisfy the partitioning scheme mandated by the required Distribution, i.e. the current dataset does not need to be re-partitioned for the required Distribution (it is possible that tuples within a partition need to be reorganized).

    A Partitioning can never satisfy a Distribution if its numPartitions doesn't match Distribution.requiredNumPartitions.

    Definition Classes

    Partitioning

17.  def satisfies0(required: Distribution): Boolean

    The actual method that defines whether this Partitioning can satisfy the given Distribution, after the numPartitions check.

    The actual method that defines whether this Partitioning can satisfy the given Distribution, after the numPartitions check.

    By default a Partitioning can satisfy UnspecifiedDistribution, and AllTuples if the Partitioning only have one partition. Implementations can also overwrite this method with special logic.

    Definition Classes

    SinglePartition → Partitioning

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

    Definition Classes

    AnyRef

19.  final def wait(): Unit

    Definition Classes

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    Annotations

    @throws( ... )

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

    Definition Classes

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    Annotations

    @throws( ... )

21.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()