Github user wesolowskim commented on the issue:
https://github.com/apache/spark/pull/14137
I added unpersists to additionally created caches and checked performance.
scc.run is slightly longer, but returned graph is cached (both vertices and
edges).
To fully optimize it and remove all unused graphs I'd have to carefully
check everything on large graph since sometimes it's easy to remove cache to
early and in this case effect will be seen after some materialization on graph
outside scc.
I hope to get it accepted in current state (that is much more performant at
least for larger graphs).
Later on I'll try to further optimize it(it is tricky to do it elegantly
because sccWorkGraph gets overwritten twice before it is materialized, and one
loop get's executed at least once).
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