realno commented on pull request #1560: URL: https://github.com/apache/arrow-datafusion/pull/1560#issuecomment-1017737467
> For k8s backed clusters, what if instead of running fixed set of executors ahead of time, we let the scheduler create and schedule new pod for each new task it needs to assign. This is what I am thinking too. > we can keep both modes for now and make the final decision on this when we are able to gather more data from running different real world workloads on larger clusters? This sounds good to me. -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
