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https://issues.apache.org/jira/browse/FLINK-29501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17612668#comment-17612668
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Maximilian Michels commented on FLINK-29501:
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Good question. How would that work? The user application doesn't have access to
the JobGraph during the normal execution flow, at least not with significant
workarounds.
This feature is intended to be used for autoscaling Flink jobs, where we
observe utilization via task metrics and then redeploy the Flink JobGraph with
updated parallelisms. Not something that the user should have to with. It is
intended to be used together with the Flink operator.
> Allow overriding JobVertex parallelisms during job submission
> -------------------------------------------------------------
>
> Key: FLINK-29501
> URL: https://issues.apache.org/jira/browse/FLINK-29501
> Project: Flink
> Issue Type: New Feature
> Components: Runtime / Configuration, Runtime / REST
> Reporter: Maximilian Michels
> Assignee: Maximilian Michels
> Priority: Minor
>
> It is a common scenario that users want to make changes to the parallelisms
> in the JobGraph. For example, because they discover that the job needs more
> or less resources. There is the option to do this globally via the job
> parallelism. However, for fine-tuned jobs jobs with potentially many
> branches, tuning on the job vertex level is required.
> This is to propose a way such that users can apply a mapping \{{jobVertexId
> => parallelism}} before the job is submitted without having to modify the
> JobGraph manually.
> One way to achieving this would be to add an optional map field to the Rest
> API jobs endpoint. However, in deployment modes like the application mode,
> this might not make sense because users do not have control the rest endpoint.
> Similarly to how other job parameters are passed in the application mode, we
> propose to add the overrides as a configuration parameter.
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