Github user tgravescs commented on the issue:
https://github.com/apache/spark/pull/19046
there are other options, like change the default for max executors to
something reasonable.
I'm not sure if its related or not but we are also looking at adding a
config to limit # of tasks in parallel. When that gets implemented it also
limits the # of containers needed. https://github.com/apache/spark/pull/18950
Oh I think the other reason for the exponential increase in dynamic
allocation was for those really short tasks when you wouldn't need all the
containers because they finish so quickly.
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