Github user ueshin commented on a diff in the pull request: https://github.com/apache/spark/pull/21977#discussion_r208449418 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/python/AggregateInPandasExec.scala --- @@ -137,13 +135,12 @@ case class AggregateInPandasExec( val columnarBatchIter = new ArrowPythonRunner( pyFuncs, - bufferSize, - reuseWorker, PythonEvalType.SQL_GROUPED_AGG_PANDAS_UDF, argOffsets, aggInputSchema, sessionLocalTimeZone, - pythonRunnerConf).compute(projectedRowIter, context.partitionId(), context) + pythonRunnerConf, + sparkContext.conf).compute(projectedRowIter, context.partitionId(), context) --- End diff -- Seems like this is in executor side, but can we get `sparkContext`?
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