GitHub user zjffdu opened a pull request:

    https://github.com/apache/flink/pull/6140

    [FLINK-9554] flink scala shell doesn't work in yarn mode

    ## What is the purpose of the change
    
    This PR is trying to fix the issue of scala-shell unable to run in yarn 
mode. 
    
    ## Brief change log
    
    The root cause is the options of CustomCommandLine is missed which cause 
the "-m yarn-cluster" can not be parsed correctly.
    
    ## Verifying this change
    
    I verify it manually on a single node hadoop cluster. I think it is better 
to add integration for that so that we can avoid the regression issue in 
future. If necessary, I can create a ticket for it and do it in another PR. 
    
    ## Does this pull request potentially affect one of the following parts:
    
      - Dependencies (does it add or upgrade a dependency): ( no)
      - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (no)
      - The serializers: (no)
      - The runtime per-record code paths (performance sensitive): (no)
      - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Yarn/Mesos, ZooKeeper: (no )
      - The S3 file system connector: (no)
    
    ## Documentation
    
      - Does this pull request introduce a new feature? (no)
      - If yes, how is the feature documented? ( not documented)


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/zjffdu/flink FLINK-9554

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/6140.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #6140
    
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commit f3d37d4799e51323fbbcd52cf972ac1d874d2514
Author: Jeff Zhang <zjffdu@...>
Date:   2018-06-07T09:47:32Z

    save

commit d65058133ce220e2d4212b906d521b38b9ef53dd
Author: Jeff Zhang <zjffdu@...>
Date:   2018-06-08T02:39:27Z

    [FLINK-9554] flink scala shell doesn't work in yarn mode

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