Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1165#issuecomment-47424883
Instead of trying to fit data into memory which cant be - isnt the current
behavior of spark not better : simply fail if insufficient memory - user can
always run with MEMORY_AND_DISK or DISK_ONLY StorageLevel and get it to work.
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