Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/3994#issuecomment-70388163
@jongyoul the goal of fine-grained mode is to run many Spark tasks in the
same executor, which is why we're giving them all the same executor ID. Mesos
supports this in its concept of executors, and it has the benefit that Mesos
can account for the CPUs used by each task separately and give those CPUs to
other frameworks when Spark is not active. In contrast, coarse-grained mode
reserves the CPUs on the machine for the whole lifetime of the executor.
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