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https://issues.apache.org/jira/browse/TINKERPOP3-925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14984023#comment-14984023
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ASF GitHub Bot commented on TINKERPOP3-925:
-------------------------------------------
Github user okram commented on the pull request:
https://github.com/apache/incubator-tinkerpop/pull/129#issuecomment-152743150
Full integration tests ran yet again and passed.
```
[INFO]
------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO]
------------------------------------------------------------------------
[INFO] Total time: 2:50:19.288s
[INFO] Finished at: Fri Oct 30 21:17:18 MDT 2015
[INFO] Final Memory: 89M/731M
[INFO]
------------------------------------------------------------------------
```
> Use persisted SparkContext to persist an RDD across Spark jobs.
> ---------------------------------------------------------------
>
> Key: TINKERPOP3-925
> URL: https://issues.apache.org/jira/browse/TINKERPOP3-925
> Project: TinkerPop 3
> Issue Type: Improvement
> Components: hadoop
> Affects Versions: 3.0.2-incubating
> Reporter: Marko A. Rodriguez
> Assignee: Marko A. Rodriguez
> Fix For: 3.1.0-incubating
>
>
> If a provider is using Spark, they are currently forced to have HDFS be used
> to store intermediate RDD data. However, if they plan on using that data in a
> {{GraphComputer}} "job chain," then they should be able to lookup a
> {{.cached()}} RDD by name.
> Create a {{inputGraphRDD.name}} and {{outputGraphRDD.name}} to make it so
> that the configuration references {{SparkContext.getPersitedRDDs()}}.
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