tgravescs commented on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-674069902
I was just saying, if you had one pool you took from you can't control it per queue. Unless of course you put in some sort of minimum or something per queue. In most of the applications I've seen the executor management queue is most important as it will mess up dynamic allocation and can results in application hangs, wasted resources etc. The other queues generally just drop events and lose history information. Obviously the use cases here for jupyter/zeppelin might be different though. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
