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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/09/11 18:54:19 UTC

[GitHub] [spark] xuanyuanking commented on a change in pull request #29724: [SPARK-32854][SS] Minor code and doc improvement for stream-stream join

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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