case class KeyGroupedShuffleSpec(partitioning: KeyGroupedPartitioning, distribution: ClusteredDistribution) extends ShuffleSpec with Product with Serializable
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Instance Constructors
- new KeyGroupedShuffleSpec(partitioning: KeyGroupedPartitioning, distribution: ClusteredDistribution)
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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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- KeyGroupedShuffleSpec → ShuffleSpec
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def
clone(): AnyRef
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- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
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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.
- Definition Classes
- ShuffleSpec
- isCompatibleWith returns false on the side where the
- val distribution: ClusteredDistribution
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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
- KeyGroupedShuffleSpec → ShuffleSpec
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final
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isInstanceOf[T0]: Boolean
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lazy val
keyPositions: Seq[BitSet]
A sequence where each element is a set of positions of the partition expression to the cluster keys.
A sequence where each element is a set of positions of the partition expression to the cluster keys. For instance, if cluster keys are [a, b, b] and partition expressions are [bucket(4, a), years(b)], the result will be [(0), (1, 2)].
Note that we only allow each partition expression to contain a single partition key. Therefore the mapping here is very similar to that from
HashShuffleSpec. -
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notify(): Unit
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notifyAll(): Unit
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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
- KeyGroupedShuffleSpec → ShuffleSpec
- val partitioning: KeyGroupedPartitioning
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