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https://issues.apache.org/jira/browse/FLINK-1006?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14064262#comment-14064262
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ASF GitHub Bot commented on FLINK-1006:
---------------------------------------

GitHub user warneke opened a pull request:

    https://github.com/apache/incubator-flink/pull/71

    [FLINK-1006] Added support for the MapR file system

    [FLINK-1006] Added support for the MapR file system.

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

    $ git pull https://github.com/warneke/incubator-flink mapr

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

    https://github.com/apache/incubator-flink/pull/71.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 #71
    
----
commit d88f24a443a6ca6fec53b79d679fe96d32c4f07c
Author: Daniel Warneke <[email protected]>
Date:   2014-07-16T19:55:51Z

    [FLINK-1006] Added support for the MapR file system

commit 860c24cf07b4297fefc78c0098c8c867786a5268
Author: Daniel Warneke <[email protected]>
Date:   2014-07-16T22:20:47Z

    Merge branch 'master' into mapr

----


> Add support for MapR file system
> --------------------------------
>
>                 Key: FLINK-1006
>                 URL: https://issues.apache.org/jira/browse/FLINK-1006
>             Project: Flink
>          Issue Type: Improvement
>          Components: Distributed Runtime
>    Affects Versions: 0.6-incubating
>            Reporter: Daniel Warneke
>            Assignee: Daniel Warneke
>            Priority: Minor
>
> I would like to add support for the MapR file system to Flink. The MapR file 
> system is a propriatory distributed file system which is interface-compatible 
> to HDFS and core to the MapR Hadoop distribution.
> Support for MapR FS would require one additional class 
> eu.stratosphere.runtime.fs.maprfs.MapRFileSystem which basically tells Flink 
> how to deal with the URL scheme name "maprfs://" and connect to the container 
> databases. For everything else, we could reuse the already existing HDFS 
> wrappers.



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