Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8030#discussion_r36659820
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala ---
@@ -312,7 +312,11 @@ private[sql] abstract class SparkStrategies extends
QueryPlanner[SparkPlan] {
throw new IllegalStateException(
"logical distinct operator should have been replaced by
aggregate in the optimizer")
case logical.Repartition(numPartitions, shuffle, child) =>
- execution.Repartition(numPartitions, shuffle, planLater(child)) ::
Nil
+ if (shuffle) {
+ execution.Exchange(HashPartitioning(child.output,
numPartitions), planLater(child)) :: Nil
+ } else {
+ execution.Repartition(numPartitions, shuffle, planLater(child))
:: Nil
--- End diff --
If the physical `Repartition` operator is now only used for `coalesce` then
it might make sense to just rename it to `Coalesce` and to omit the `shuffle`
parameter, always forcing it to `false.
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