Github user li-zhihui commented on the pull request:
https://github.com/apache/spark/pull/1462#issuecomment-49572335
@tgravescs
I tested it on a cluster with mesos-0.18.1(fine-grained and
coarse-grained), it work well.
I think you are right. In fact, user don't have any idea about expected
executors in mesos mode (and standalone mode), they only expect CPU
cores(<code>spark.cores.max</code>). So we need check total registered
executors' cores and <code>spark.cores.max</code> to judge whether
SchedulerBackend is ready, and modify
<code>spark.scheduler.minRegisteredExecutorsRatio</code> to
<code>spark.scheduler.minRegisteredResourcesRatio</code>.
How do you think about it?
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