Github user rdblue commented on the issue:
https://github.com/apache/spark/pull/13482
@tgravescs, removing `notifyAll` doesn't solve the problem entirely, it
just removes one path that's causing the `allocate` call to be run too many
times. (Also, I haven't tested delaying loss reasons in our Spark jobs at
scale, other than for the 200ms introduced here.) Ensuring that `allocate` is
not called too often addresses the problem no matter what the immediate cause
is. That's why I think it's a good idea to fix the two separately: first ensure
that `allocate` will not run too often and starve other operations on the
`YarnAllocator` and, second, track down the cases that cause this.
Even if we were to fix the `YarnAllocator` so we don't have resource
contention, ensuring a min interval between calls to `allocate` is a good idea
so that Spark doesn't make too many useless calls to the resource manager. And,
I don't want to track down this same bug in 3 months because of a different
path trigger it.
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