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.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
