Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/2746#issuecomment-60279252
BTW I'm pretty sure the Spark allocator handles those over-allocation
scenarios (see ~L258 in YarnAllocator.scala, `if (numExecutorsRunningNow >
maxExecutors) {`).
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