Github user ScrapCodes commented on the pull request:
https://github.com/apache/spark/pull/3402#issuecomment-63951951
Even after this fix someone can run into same errors if he suppose builds
spark with scala 2.10 and runs master first and then try to recover it with
spark built with scala 2.11. This is definitely not our case. But just
mentioning it since I observed it while testing.
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