Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/8943#issuecomment-145873474
Container priority is different. container priority is honored right now
and its for the application to say one container must be allocated before
another. An example is MapReduce where maps may be higher priority because the
reducer can't run until all the maps are finished. At this point I don't see
this useful to Spark as all the executors are the same importance.
@xiaowen147 can you update based on the feedback?
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