Github user okram commented on the pull request:
https://github.com/apache/incubator-tinkerpop/pull/172#issuecomment-162709345
I made it so that SparkGremlin works like Spark JobServer
(https://github.com/spark-jobserver/spark-jobserver/). It ensures that RDDs are
not garbage collected by maintaining a static `Spark` class that holds a
`ConcurrentHashMap` of RDDs. Thus, Spark is like a "file system" in that RDDs
can be `ls()`, `rm()`, etc. This was necessary to get "slow" `mvn clean
install` to build correctly where RDDs are NOT GC'd by Spark context cleaner.
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