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https://issues.apache.org/jira/browse/FLINK-23905?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17404288#comment-17404288
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Till Rohrmann commented on FLINK-23905:
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I think this is what Flink already supports if you enable HA and configure a
{{high-availability.storage-dir}}. If this is enabled, then a {{TaskExecutor}}
will first try to download the blob from {{high-availability.storage-dir}}
before asking the {{JobMaster}}.
> Reduce the load on JobManager when submitting large-scale job with a big user
> jar
> ---------------------------------------------------------------------------------
>
> Key: FLINK-23905
> URL: https://issues.apache.org/jira/browse/FLINK-23905
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Coordination
> Reporter: huntercc
> Priority: Major
>
> As described in FLINK-20612 and FLINK-21731, there are some time-consuming
> steps in the job startup phase. Recently, we found that when submitting a
> large-scale job with a large user jar, the time spent on changing the status
> of a task from deploying to running accounts for a high proportion of the
> total time-consuming.
> In the task initialization stage, the user jar needs to be pulled from the
> JobManager through BlobService. JobManager has to allocate a lot of computing
> power to distribute the files, which leads to a heavy load in the start-up
> stage. More generally, JobManager fails to respond to the RPC request sent by
> the TaskManager side in time due to high load, causing some timeout
> exceptions, such as akka timeout exception, which leads to job restart and
> further prolongs the start-up time of the job.
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