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https://issues.apache.org/jira/browse/FLINK-2326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14714422#comment-14714422
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ASF GitHub Bot commented on FLINK-2326:
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GitHub user rmetzger opened a pull request:
https://github.com/apache/flink/pull/1062
[FLINK-2326] Write yarn properties file to temp directory
Flink's YARN client is writing a `.yarn-properties` file to the `conf/`
directory containing the JobManager's host and port.
It seems that at least two users were installing Flink into a read only
location, thus Flink was unable to write the properties file to `conf/`.
With this change, the file is written into the `/tmp/` directory with the
current user's name.
This will allow to use a shared Flink installation with different users at
the same time.
I also introduced a configuration value to change the location of the
properties file.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/rmetzger/flink flink2326
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/1062.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 #1062
----
commit 473940eda06e2874d6b2cec5e50ee07d6054f438
Author: Robert Metzger <[email protected]>
Date: 2015-08-26T14:11:30Z
[FLINK-2326] Write yarn properties file to temp directory
----
> Mutitenancy on Yarn
> -------------------
>
> Key: FLINK-2326
> URL: https://issues.apache.org/jira/browse/FLINK-2326
> Project: Flink
> Issue Type: Improvement
> Components: YARN Client
> Affects Versions: 0.9
> Environment: Centos 6.6
> Hadoop 2.7 secured with kerberos
> Flink 0.9
> Reporter: LINTE
> Assignee: Robert Metzger
>
> When a user launch a Flink cluster on yarn, i .yarn-properties file is
> created in the conf directory.
> In multiuser environnement the configuration directory is read only.
> Even with write permission for all user on conf directory, then just on user
> can run a Flink cluster.
> Regards
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