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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/12/03 06:10:00 UTC
[jira] [Assigned] (SPARK-37528) Support reorder tasks during scheduling by shuffle partition size in AQE
[ https://issues.apache.org/jira/browse/SPARK-37528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-37528:
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Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> 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.
>
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