object OptimizeSkewInRebalancePartitions extends Rule[SparkPlan] with AQEShuffleReadRule
A rule to optimize the skewed shuffle partitions in RebalancePartitions based on the map output statistics, which can avoid data skew that hurt performance.
We use ADVISORY_PARTITION_SIZE_IN_BYTES size to decide if a partition should be optimized. Let's say we have 3 maps with 3 shuffle partitions, and assuming r1 has data skew issue. the map side looks like: m0:[b0, b1, b2], m1:[b0, b1, b2], m2:[b0, b1, b2] and the reduce side looks like: (without this rule) r1[m0-b1, m1-b1, m2-b1] / \ r0:[m0-b0, m1-b0, m2-b0], r1-0:[m0-b1], r1-1:[m1-b1], r1-2:[m2-b1], r2[m0-b2, m1-b2, m2-b2]
Note that, this rule is only applied with the SparkPlan whose top-level node is ShuffleQueryStageExec.
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Returns the list of ShuffleOrigins supported by this rule.
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