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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2954) Not able to pass custom environment variables in cluster to processes that spawning TaskManager
Date Thu, 26 Nov 2015 11:30:11 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2954?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15028592#comment-15028592
] 

ASF GitHub Bot commented on FLINK-2954:
---------------------------------------

GitHub user rmetzger opened a pull request:

    https://github.com/apache/flink/pull/1409

    [FLINK-2954] Add config parameter for passing environment variables to YARN

    

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

    $ git pull https://github.com/rmetzger/flink flink2954

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

    https://github.com/apache/flink/pull/1409.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 #1409
    
----
commit 74044d75b931b217f33816a7c9ed6f2ab085cb07
Author: Robert Metzger <rmetzger@apache.org>
Date:   2015-11-26T10:47:25Z

    [FLINK-2954] Add config parameter for passing environment variables to YARN

----


> Not able to pass custom environment variables in cluster to processes that spawning TaskManager
> -----------------------------------------------------------------------------------------------
>
>                 Key: FLINK-2954
>                 URL: https://issues.apache.org/jira/browse/FLINK-2954
>             Project: Flink
>          Issue Type: Bug
>          Components: Command-line client, Distributed Runtime
>    Affects Versions: 0.10.0
>            Reporter: Jian Jiang
>            Assignee: Robert Metzger
>            Priority: Critical
>             Fix For: 1.0.0
>
>
> There are programs that rely on custom environment variables. In hadoop mapreduce job
we can use -Dmapreduce.map.env and - Dmapreduce.reduce.env to do pass them. Similarly in Spark
> we can use --conf 'spark.executor.XXX=value for XXX'. There is no such feature yet in
Flink.
> This has given Flink a serious disadvantage when customers need such feature.



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