doExecute(): RDD[InternalRow]
ShuffleExchange Physical Operator
ShuffleExchange is a unary physical operator. It corresponds to Repartition (with shuffle enabled) and RepartitionByExpression logical operators (as translated in BasicOperators strategy).
When created, ShuffleExchange takes a Partitioning, a single child physical operator and an optional ExchangeCoordinator.
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data size total (min, med, max) |
nodeName is computed based on the optional ExchangeCoordinator with Exchange prefix and possibly (coordinator id: [coordinator-hash-code]).
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Caution
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FIXME A screenshot with the node in execution DAG in web UI. |
outputPartitioning is the input Partitioning.
While preparing execution (using doPrepare), ShuffleExchange registers itself with the ExchangeCoordinator if available.
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Caution
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FIXME When could ExchangeCoordinator not be available?
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When doExecute, ShuffleExchange computes a ShuffledRowRDD and caches it (to reuse avoiding possibly expensive executions).
doExecute Method
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Note
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doExecute is a part of the SparkPlan contract.
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Caution
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FIXME |
prepareShuffleDependency Internal Method
prepareShuffleDependency(): ShuffleDependency[Int, InternalRow, InternalRow]
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Caution
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FIXME |
prepareShuffleDependency Helper Method
prepareShuffleDependency(
rdd: RDD[InternalRow],
outputAttributes: Seq[Attribute],
newPartitioning: Partitioning,
serializer: Serializer): ShuffleDependency[Int, InternalRow, InternalRow]
prepareShuffleDependency creates a ShuffleDependency dependency.
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Note
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prepareShuffleDependency is used when ShuffleExchange prepares a ShuffleDependency (as part of…FIXME), CollectLimitExec and TakeOrderedAndProjectExec physical operators are executed.
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