Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/19001#discussion_r183949990
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/SortMergeJoinExec.scala
---
@@ -39,7 +40,10 @@ case class SortMergeJoinExec(
joinType: JoinType,
condition: Option[Expression],
left: SparkPlan,
- right: SparkPlan) extends BinaryExecNode with CodegenSupport {
+ right: SparkPlan,
+ requiredNumPartitions: Option[Int] = None,
+ hashingFunctionClass: Class[_ <: HashExpression[Int]] =
classOf[Murmur3Hash])
--- End diff --
I think this can be done in a followup. For the first version we can just
add a `HiveHashPartitioning`, which can satisfy `ClusteredDistribution`(save
shuffle for aggregate) but not `HashClusteredDistribution`(can't save shuffle
for join).
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