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ASF GitHub Bot commented on TINKERPOP-1223: ------------------------------------------- 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). ---- > Allow jars in gremlin.distributedJars to be read from HDFS > ---------------------------------------------------------- > > Key: TINKERPOP-1223 > URL: https://issues.apache.org/jira/browse/TINKERPOP-1223 > Project: TinkerPop > Issue Type: Improvement > Components: hadoop > Affects Versions: 3.2.0-incubating > Reporter: Matthias Broecheler > Assignee: Marko A. Rodriguez > Fix For: 3.2.0-incubating > > > in addition to the local file system as it currently stands. That makes it > possible for users to include custom VertexPrograms in their OLAP traversals > when they don't have local file access to the compute machines. -- This message was sent by Atlassian JIRA (v6.3.4#6332)