Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/791#issuecomment-43484083
As far as I know, reasons for task failure may be: exception happens during
task execution, Executor lost and relaunch, stage cancelled by user. But I'm
not sure if I listed all the reasons. And I don't know the detail how spark
relaunch Executor and cancel stage and how to handle these when dropping memory
blocks. Is a try-catch enough for it? I want to reset the dropping flag if the
task is terminated.
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