case class CoalescedHashShuffleSpec(from: ShuffleSpec, partitions: Seq[CoalescedBoundary]) extends ShuffleSpec with Product with Serializable
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- new CoalescedHashShuffleSpec(from: ShuffleSpec, partitions: Seq[CoalescedBoundary])
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- final def !=(arg0: Any): Boolean
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- def canCreatePartitioning: Boolean
Whether this shuffle spec can be used to create partitionings for the other children.
Whether this shuffle spec can be used to create partitionings for the other children.
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- CoalescedHashShuffleSpec → ShuffleSpec
- def clone(): AnyRef
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def createPartitioning(clustering: Seq[Expression]): Partitioning
Creates a partitioning that can be used to re-partition the other side with the given clustering expressions.
Creates a partitioning that can be used to re-partition the other side with the given clustering expressions.
This will only be called when:
- isCompatibleWith returns false on the side where the
clusteringis from.
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- ShuffleSpec
- isCompatibleWith returns false on the side where the
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- val from: ShuffleSpec
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- def isCompatibleWith(other: ShuffleSpec): Boolean
Returns true iff this spec is compatible with the provided shuffle spec.
Returns true iff this spec is compatible with the provided shuffle spec.
A true return value means that the data partitioning from this spec can be seen as co-partitioned with the
other, and therefore no shuffle is required when joining the two sides.Note that Spark assumes this to be reflexive, symmetric and transitive.
- Definition Classes
- CoalescedHashShuffleSpec → ShuffleSpec
- final def isInstanceOf[T0]: Boolean
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- final def ne(arg0: AnyRef): Boolean
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- def numPartitions: Int
Returns the number of partitions of this shuffle spec
Returns the number of partitions of this shuffle spec
- Definition Classes
- CoalescedHashShuffleSpec → ShuffleSpec
- val partitions: Seq[CoalescedBoundary]
- def productElementNames: Iterator[String]
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- Product
- final def synchronized[T0](arg0: => T0): T0
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- final def wait(): Unit
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