Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/12040#discussion_r58112145
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/Window.scala ---
@@ -920,7 +931,7 @@ private[execution] object AggregateProcessor {
// Create the projections.
val initialProjection = newMutableProjection(
initialValues,
- Seq(SizeBasedWindowFunction.n))()
+ Seq(partitionSize))()
--- End diff --
@hvanhovell Why we only set a single column (partitionSize) as the input
schema? I guess I am missing something...
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