Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/6780#discussion_r32394261
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala ---
@@ -160,17 +166,22 @@ case class TakeOrdered(limit: Int, sortOrder:
Seq[SortOrder], child: SparkPlan)
private val ord: RowOrdering = new RowOrdering(sortOrder, child.output)
- private def collectData(): Array[InternalRow] =
- child.execute().map(_.copy()).takeOrdered(limit)(ord)
+ @transient private val projection = projectList.map(newProjection(_,
child.output))
--- End diff --
I'm confused here that we have to add `@transient` for it to avoid
`NotSerializableException` . It looks to me that `TakeOrderedAndProject` should
run on driver side and it doesn't pass its reference to RDD functions. Sorry if
I missed something here.
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