Packages

c

org.apache.spark.sql.catalyst.plans.physical

BroadcastPartitioning

case class BroadcastPartitioning(mode: BroadcastMode) extends Partitioning with Product with Serializable

Represents a partitioning where rows are collected, transformed and broadcasted to each node in the cluster.

Linear Supertypes
Serializable, Serializable, Product, Equals, Partitioning, AnyRef, Any
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  1. BroadcastPartitioning
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Partitioning
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new BroadcastPartitioning(mode: BroadcastMode)

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. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  8. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  9. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  10. val mode: BroadcastMode
  11. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  13. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  14. 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
    BroadcastPartitioning → Partitioning
  15. 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 does't match Distribution.requiredNumPartitions.

    Definition Classes
    Partitioning
  16. 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
    BroadcastPartitioning → Partitioning
  17. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  18. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Partitioning

Inherited from AnyRef

Inherited from Any

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