xuanyuanking commented on a change in pull request #29724:
URL: https://github.com/apache/spark/pull/29724#discussion_r487229420
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinExec.scala
##########
@@ -189,11 +189,9 @@ case class StreamingSymmetricHashJoinExec(
override def outputPartitioning: Partitioning = joinType match {
case _: InnerLike =>
PartitioningCollection(Seq(left.outputPartitioning,
right.outputPartitioning))
- case LeftOuter => PartitioningCollection(Seq(left.outputPartitioning))
- case RightOuter => PartitioningCollection(Seq(right.outputPartitioning))
- case x =>
- throw new IllegalArgumentException(
- s"${getClass.getSimpleName} should not take $x as the JoinType")
+ case LeftOuter => left.outputPartitioning
+ case RightOuter => right.outputPartitioning
+ case _ => throwBadJoinTypeException()
Review comment:
Nich catch,
nit: let's remove the duplicate error string in
https://github.com/apache/spark/pull/29724/files#diff-e9db271d8593f070ba7096e758c8b89dR168
and
https://github.com/apache/spark/pull/29724/files#diff-e9db271d8593f070ba7096e758c8b89dR162
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinExec.scala
##########
@@ -246,13 +244,14 @@ case class StreamingSymmetricHashJoinExec(
// Join one side input using the other side's buffered/state rows. Here
is how it is done.
//
- // - `leftJoiner.joinWith(rightJoiner)` generates all rows from matching
new left input with
Review comment:
I think the original PR just wants to use pseudocode to explain, either
way is ok to me.
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