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https://issues.apache.org/jira/browse/FLINK-18362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17140322#comment-17140322
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Yang Wang commented on FLINK-18362:
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Maybe {{yarn.ship-archives}} make more senses. Multiple archives will be
separated with semicolon. Registering these files as
{{LocalResourecType.ARCHIVE}} is the right direction.
Glad to hear that you want to contribute your work to the community and i could
help with review.
> Shipping jdk by shipping archive
> --------------------------------
>
> Key: FLINK-18362
> URL: https://issues.apache.org/jira/browse/FLINK-18362
> Project: Flink
> Issue Type: Wish
> Affects Versions: 1.10.1
> Reporter: Noah
> Priority: Minor
>
> Hello,
> Our team are running flink cluster on YARN, and it works so well 👍
> h4. Functional requirements
> Is there any option to ship archive to YARN applications?
> h4. Backgrounds
> Recently, one of job has been shut down with jdk8 version related issues.
> https://bugs.java.com/bugdatabase/view_bug.do?bug_id=6675699
> It's easy problem if we could set latest jdk on
> `containerized.taskmanager.env.JAVA_HOME`.
> However, cluster administrator said it's difficult to install the latest jdk
> on all cluster machines.
>
> So, we planned to run a job on latest jdk that is shipped via shared
> resources.
> There's an option `yarn.ship-directories` but it's quite slow because jdk has
> large number of files.
> If Flink supports to ship archive such as `yarn.ship-archive`, we can ship
> jdk archive to remote machines and use shipped jdk location as JAVA_HOME
> (using `yarn.container-start-command-template` )
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