GitHub user okram opened a pull request:
https://github.com/apache/incubator-tinkerpop/pull/282
TINKERPOP-1223: Allow jars in gremlin.distributedJars to be read from HDFS
https://issues.apache.org/jira/browse/TINKERPOP-1223
If a `HADOOP_GREMLIN_LIBS` directory does not reference a local directory,
then check for that directory in HDFS. If its there, copy it to a `java.io.tmp`
directory and then process the `jars` from there.
CHANGELOG
```
* `HADOOP_GREMLIN_LIBS` can now reference a directory in HDFS and will be
used if the directory does not exist locally.
```
`mvn clean install` and tested manually via the Gremlin Console.
VOTE +1.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/apache/incubator-tinkerpop TINKERPOP-1223
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-tinkerpop/pull/282.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 #282
----
commit c6b9bc7114aa77b69edf942486517c04794c7d45
Author: Marko A. Rodriguez <okramma...@gmail.com>
Date: 2016-03-28T20:18:01Z
If the HADOOP_GREMLIN_LIBS path does not exist locally, then search for it
in HDFS. If it exists there, copy it to a java.io.tmp directory and then pull
out the jars from there to upload to the DistributdCache (Giraph) or
SparkServer (Spark).
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