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https://issues.apache.org/jira/browse/FLINK-24897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yang Wang reassigned FLINK-24897:
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Assignee: Biao Geng
> Enable application mode on YARN to use usrlib
> ---------------------------------------------
>
> Key: FLINK-24897
> URL: https://issues.apache.org/jira/browse/FLINK-24897
> Project: Flink
> Issue Type: Improvement
> Components: Deployment / YARN
> Reporter: Biao Geng
> Assignee: Biao Geng
> Priority: Major
>
> Hi there,
> I am working to utilize application mode to submit flink jobs to YARN cluster
> but I find that currently there is no easy way to ship my user-defined
> jars(e.g. some custom connectors or udf jars that would be shared by some
> jobs) and ask the FlinkUserCodeClassLoader to load classes in these jars.
> I checked some relevant jiras, like FLINK-21289. In k8s mode, there is a
> solution that users can use `usrlib` directory to store their user-defined
> jars and these jars would be loaded by FlinkUserCodeClassLoader when the job
> is executed on JM/TM.
> But on YARN mode, `usrlib` does not work as that:
> In this method(org.apache.flink.yarn.YarnClusterDescriptor#addShipFiles), if
> I want to use `yarn.ship-files` to ship `usrlib` from my flink client(in my
> local machine) to remote cluster, I must not set UserJarInclusion to
> DISABLED due to the checkArgument(). However, if I do not set that option to
> DISABLED, the user jars to be shipped will be added into systemClassPaths. As
> a result, classes in those user jars will be loaded by AppClassLoader.
> But if I do not ship these jars, there is no convenient way to utilize these
> jars in my flink run command. Currently, all I can do seems to use `-C`
> option, which means I have to upload my jars to some shared store first and
> then use these remote paths. It is not so perfect as we have already make it
> possible to ship jars or files directly and we also introduce `usrlib` in
> application mode on YARN. It would be more user-friendly if we can allow
> shipping `usrlib` from local to remote cluster while using
> FlinkUserCodeClassLoader to load classes in the jars in `usrlib`.
>
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