Github user tgravescs commented on the pull request: https://github.com/apache/spark/pull/1462#issuecomment-49434048 Did you test it on a cluster? I unfortunately don't have access to one and am not an expert on mesos. Is there a race condition between when the scheduler backend increments totalExpectedExecutors and when we actually do the check to see if we have enough? Meaning in this case we increment it as they come in as resource offers, we start the executors, it registers, then we do the check, so its possible once we get 1 in that totalExpectedExecutors =1 * minRegisteredRatio (say 100) == executorActor.size() (1) even though we really expect say 10 to come in? I think the same thing actually applies in standalone mode too but I missed it in previous pr.
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