[
https://issues.apache.org/jira/browse/SPARK-37528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
XiDuo You updated SPARK-37528:
------------------------------
Affects Version/s: 3.4.0
(was: 3.3.0)
> Schedule Tasks By Input Size
> ----------------------------
>
> Key: SPARK-37528
> URL: https://issues.apache.org/jira/browse/SPARK-37528
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core, SQL
> Affects Versions: 3.4.0
> Reporter: XiDuo You
> Priority: Major
>
> In general, the larger input data size means longer running time. So ideally,
> we can let DAGScheduler submit bigger input size task first. It can reduce
> the whole stage running time. For example, we have one stage with 4 tasks and
> the defaultParallelism is 2 and the 4 tasks have different running time [1s,
> 3s, 2s, 4s].
> - in normal, the running time of the stage is: 7s
> - if big task first, the running time of the stage is: 5s
--
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
