case class HashShuffleSpec(partitioning: HashPartitioning, distribution: ClusteredDistribution) extends ShuffleSpec with Product with Serializable
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- new HashShuffleSpec(partitioning: HashPartitioning, 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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- HashShuffleSpec → ShuffleSpec
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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.
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- HashShuffleSpec → ShuffleSpec
- isCompatibleWith returns false on the side where the
- val distribution: ClusteredDistribution
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- lazy val hashKeyPositions: Seq[BitSet]
A sequence where each element is a set of positions of the hash partition key to the cluster keys.
A sequence where each element is a set of positions of the hash partition key to the cluster keys. For instance, if cluster keys are [a, b, b] and hash partition keys are [a, b], the result will be [(0), (1, 2)].
This is useful to check compatibility between two
HashShuffleSpecs. If the cluster keys are [a, b, b] and [x, y, z] for the two join children, and the hash partition keys are [a, b] and [x, z], they are compatible. With the positions, we can do the compatibility check by looking at if the positions of hash partition keys from two sides have overlapping. - 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.
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- HashShuffleSpec → ShuffleSpec
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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
- HashShuffleSpec → ShuffleSpec
- val partitioning: HashPartitioning
- def productElementNames: Iterator[String]
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