Github user yhuai commented on a diff in the pull request: https://github.com/apache/spark/pull/9383#discussion_r43826631 --- 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 -- It still possible that we basically have lot of memory space to use, right?
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