Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/9383#discussion_r43827568
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
---
@@ -762,15 +679,7 @@ class TungstenAggregationIterator(
/**
* Start processing input rows.
*/
- testFallbackStartsAt match {
- case None =>
- processInputs()
- case Some(fallbackStartsAt) =>
- // This is the testing path. processInputsWithControlledFallback is
same as processInputs
- // except that it switches to sort-based aggregation after
`fallbackStartsAt` input rows
- // have been processed.
- processInputsWithControlledFallback(fallbackStartsAt)
- }
+ processInputs(testFallbackStartsAt.getOrElse(Int.MaxValue))
--- End diff --
Each record needs 30+ bytes, it needs to have more than 60G memory for
single task to trigger this spilling, I think that's fine.
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