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https://issues.apache.org/jira/browse/SPARK-37528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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XiDuo You updated SPARK-37528:
------------------------------
    Description: 
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.

[design 
doc|https://docs.google.com/document/d/1vPcuEADUokO4XpqBV1rFH90Zi4rKdsgZtZMYX80c2gw/edit?usp=sharing]

  was:
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.

[design 
doc|[https://docs.google.com/document/d/1vPcuEADUokO4XpqBV1rFH90Zi4rKdsgZtZMYX80c2gw/edit?usp=sharing]]


> 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.
> [design 
> doc|https://docs.google.com/document/d/1vPcuEADUokO4XpqBV1rFH90Zi4rKdsgZtZMYX80c2gw/edit?usp=sharing]



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