Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5250#issuecomment-87788812
I'm fairly torn about this. I can see why it'd be much easier for users
with the introduction of a new config since this could be a common problem, but
at the same time as I said earlier, this is a much wider net that would catch
any exceptions -- e.g. maybe the data node was just down for a second, and then
suddenly Spark will return incorrect result.
Let's leave the discussion open for others to chime in.
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