Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/3238#issuecomment-65140058
Hey @jimjh the overall approach makes sense. However I think having a
config that is explicitly only for data nucleus jars is a little too specific.
Is it possible to generalize this in any way? Currently we already have
`spark.yarn.secondary.jars`. IIUC the reason why we can't just use this
directly is that this adds the jars to the user application's class path, not
Spark's. I wonder if there's an easy way to generalize that. @vanzin any
thoughts?
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