Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/2026#issuecomment-52580506
Do you think it's better to disable compression of the command or to update
the Spark SQL code to use the compressing serializer? The latter might buy us
a small benefit if we expect task closures to be large; on the other hand,
maybe the compression wouldn't be worth it for small closures (will it add a
lot of time overhead)?
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