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Apache Spark commented on SPARK-37528: -------------------------------------- User 'ulysses-you' has created a pull request for this issue: https://github.com/apache/spark/pull/34791 > Support reorder tasks during scheduling by shuffle partition size in AQE > ------------------------------------------------------------------------ > > Key: SPARK-37528 > URL: https://issues.apache.org/jira/browse/SPARK-37528 > Project: Spark > Issue Type: New Feature > Components: Spark Core, SQL > Affects Versions: 3.3.0 > Reporter: XiDuo You > Priority: Major > > Reorder tasks by input size can save the whole stage execution time. Assume > the larger amount of input data takes longer to execute. Let's say we have > one stage with 4 tasks and the `defaultParallelism` is 2 and the 4 tasks have > differnt execution time with [1s, 3s, 2s, 4s]. > * in normal the execution time of the stage is: 7s > * after reorder the tasks, the execution time of the stage is: 5s > a new config `spark.scheduler.reorderTasks.enabled` to decide if we allow to > reorder tasks. > -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org