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https://issues.apache.org/jira/browse/FLINK-7125?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16077981#comment-16077981
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ASF GitHub Bot commented on FLINK-7125:
---------------------------------------

GitHub user tillrohrmann opened a pull request:

    https://github.com/apache/flink/pull/4280

    [FLINK-7125] [yarn] Remove Configuration loading from 
AbstractYarnClusterDescriptor

    Instead the AbstractYarnClusterDescriptor is passed in a Configuration 
instance which
    is sent to the started application master.

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

    $ git pull https://github.com/tillrohrmann/flink 
removeConfigLoadingFromYarnClusterDescriptor

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

    https://github.com/apache/flink/pull/4280.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 #4280
    
----
commit 0ea989cfac656cc1063411db9043d861bc8be39b
Author: Till Rohrmann <[email protected]>
Date:   2017-07-07T11:40:29Z

    [FLINK-7125] [yarn] Remove Configuration loading from 
AbstractYarnClusterDescriptor
    
    Instead the AbstractYarnClusterDescriptor is passed in a Configuration 
instance which
    is sent to the started application master.

----


> Remove configuration loading from AbstractYarnClusterDescriptor
> ---------------------------------------------------------------
>
>                 Key: FLINK-7125
>                 URL: https://issues.apache.org/jira/browse/FLINK-7125
>             Project: Flink
>          Issue Type: Improvement
>          Components: YARN
>            Reporter: Till Rohrmann
>            Assignee: Till Rohrmann
>              Labels: flip-6
>
> We should remove the explicit configuration loading from the 
> {{AbstractYarnClusterDescriptor}} and instead pass it to the class via the 
> constructor. This passed in configuration should then be sent to the 
> application master when being started. That way, we can easily configure the 
> started Yarn cluster.



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