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https://issues.apache.org/jira/browse/FLINK-24150?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17793105#comment-17793105
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Alexis Sarda-Espinosa commented on FLINK-24150:
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Sorry, I don't follow. And just to be clear, I'm not a maintainer, if you can
work on a PR, you might want to write to the dev mailing list to discuss there
and get someone to assign you.
> Support to configure cpu resource request and limit in pod template
> -------------------------------------------------------------------
>
> Key: FLINK-24150
> URL: https://issues.apache.org/jira/browse/FLINK-24150
> Project: Flink
> Issue Type: New Feature
> Components: Deployment / Kubernetes
> Reporter: Yang Wang
> Priority: Major
>
> Why Flink needs to overwrite memory resource defined in pod template?
> The major reason is that Flink need to ensure the consistency between Flink
> configuration
> (\{{taskmanager.memory.process.size}} , {{kubernetes.taskmanager.cpu}}) and
> pod template resource settings. Since users could specify the total process
> memory or detailed memory[2], Flink will calculate the pod resource
> internally.
>
> For the CPU case the template’s requests/limits should have priority if they
> are specified. The factor could still be used if the template doesn’t specify
> anything. The logic could be something like this:
> # To choose CPU request
> # Read pod template first
> # If template doesn’t have anything, read from {{kubernetes.taskmanager.cpu}}
> # If configuration is not specified, fall back to default
> # To choose CPU limit
> # Read from template first
> # If template doesn’t have anything, apply factor to what was chosen in step
> 1, where the default factor is 1.
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