Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/15843
From the Py4J documentation it seems like we could be leaking memory with
the first option, although perhaps not a lot of memory, but if it was being
used in an iterative Python algorithm for training many models it could start
to have some impact. I'd be in favor of option 2, but that could be done as a
follow up issue if the required copy methods aren't generally available.
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