Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/2217#issuecomment-54381921
This discussion probably belongs in the dev/user list, but a simple
workaround is to create an RDD of your 'mutable' state in the first iteration,
cache it while computing the partition and call zipPartitions on this RDD with
the data for the second iteration. Not sure if this completely covers your use
case, but I've seen this pattern work for a bunch of ML algorithms implemented
in the AMPLab.
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