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https://issues.apache.org/jira/browse/FLINK-1006?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14081375#comment-14081375
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ASF GitHub Bot commented on FLINK-1006:
---------------------------------------
Github user rmetzger commented on the pull request:
https://github.com/apache/incubator-flink/pull/71#issuecomment-50811704
So when adding the mapr dependency, it pulls the following MapR specific
files:
```
./hadoop-hdfs-2.3.0-mapr-4.0.0-FCS.jar
./zookeeper-3.4.5-mapr-1401.jar
./hadoop-annotations-2.3.0-mapr-4.0.0-FCS.jar
./hadoop-common-2.3.0-mapr-4.0.0-FCS.jar
./hadoop-auth-2.3.0-mapr-4.0.0-FCS.jar
./maprfs-2.3.0-mapr-4.0.0-FCS.jar
```
I think the regular hadoop dependencies with `mapr` versions are fine, but
I'm not quite sure about the `maprfs` package. The contained namespaces are not
`org.apache.` but `com.mapr`.
Sadly, non of the license tags inside the `pom.xml` is stating anything
about the license.
http://repository.mapr.com/nexus/content/repositories/mapr-public/com/mapr/hadoop/maprfs/2.3.0-mapr-4.0.0-FCS/
So I will not add a MapR distribution for the 0.6 release to our download
page. The licensing situation is just too uncertain. I'll ask on their user's
forum.
> 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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