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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