Github user hvanhovell commented on a diff in the pull request: https://github.com/apache/spark/pull/18843#discussion_r132156490 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala --- @@ -844,24 +844,39 @@ object SQLConf { .stringConf .createWithDefaultFunction(() => TimeZone.getDefault.getID) + val WINDOW_EXEC_BUFFER_IN_MEMORY_THRESHOLD = + buildConf("spark.sql.windowExec.buffer.in.memory.threshold") + .internal() + .doc("Threshold for number of rows guaranteed to be held in memory by the window operator") + .intConf + .createWithDefault(4096) + val WINDOW_EXEC_BUFFER_SPILL_THRESHOLD = buildConf("spark.sql.windowExec.buffer.spill.threshold") .internal() - .doc("Threshold for number of rows buffered in window operator") + .doc("Threshold for number of rows to be spilled by window operator") .intConf - .createWithDefault(4096) + .createWithDefault(UnsafeExternalSorter.DEFAULT_NUM_ELEMENTS_FOR_SPILL_THRESHOLD.toInt) + + val SORT_MERGE_JOIN_EXEC_BUFFER_IN_MEMORY_THRESHOLD = + buildConf("spark.sql.sortMergeJoinExec.buffer.in.memory.threshold") + .internal() + .doc("Threshold for number of rows guaranteed to be held in memory by the sort merge " + + "join operator") + .intConf + .createWithDefault(Int.MaxValue) --- End diff -- It is the current value. I suppose you want to be able to tune it if you have to. Not all of us are running Spark at FB scale :)...
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org