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Posted to issues@flink.apache.org by "Zhu Zhu (Jira)" <ji...@apache.org> on 2024/01/19 01:54:00 UTC

[jira] [Assigned] (FLINK-34143) Modify the effective strategy of `execution.batch.adaptive.auto-parallelism.default-source-parallelism`

     [ https://issues.apache.org/jira/browse/FLINK-34143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Zhu Zhu reassigned FLINK-34143:
-------------------------------

    Assignee: xingbe

> Modify the effective strategy of `execution.batch.adaptive.auto-parallelism.default-source-parallelism`
> -------------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-34143
>                 URL: https://issues.apache.org/jira/browse/FLINK-34143
>             Project: Flink
>          Issue Type: Improvement
>          Components: Runtime / Coordination
>    Affects Versions: 1.19.0
>            Reporter: xingbe
>            Assignee: xingbe
>            Priority: Major
>
> Currently, if users do not set the `{{{}execution.batch.adaptive.auto-parallelism.default-source-parallelism`{}}} configuration option, the AdaptiveBatchScheduler defaults to a parallelism of 1 for source vertices. In [FLIP-379|https://cwiki.apache.org/confluence/display/FLINK/FLIP-379%3A+Dynamic+source+parallelism+inference+for+batch+jobs#FLIP379:Dynamicsourceparallelisminferenceforbatchjobs-IntroduceDynamicParallelismInferenceinterfaceforSource], the value of `{{{}execution.batch.adaptive.auto-parallelism.default-source-parallelism`{}}} will act as the upper bound for inferring dynamic source parallelism, and continuing with the current policy is no longer appropriate.
> We plan to change the effectiveness strategy of `{{{}execution.batch.adaptive.auto-parallelism.default-source-parallelism`{}}}; when the user does not set this config option, we will use the value of `{{{}execution.batch.adaptive.auto-parallelism.max-parallelism`{}}} as the upper bound for source parallelism inference. If {{`execution.batch.adaptive.auto-parallelism.max-parallelism`}} is also not configured, the value of `{{{}parallelism.default`{}}} will be used as a fallback.



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