wForget commented on issue #3596: URL: https://github.com/apache/datafusion-comet/issues/3596#issuecomment-3970232665
> Thanks [@Shekharrajak](https://github.com/Shekharrajak) it actually sounds attractive, if talking about just replacing transport. However IMO the flow brings up some challenges: > > * less resilient, without disk it would be easier to run out of memory > * backpressure, so if the reducer is busy now, what mapper is supposed to do? buffer in memory? resend? if so we stumble on problem on step1 And this may break the Spark DRA feature. > nevertheless it would be nice having separate shuffle manager for lightweight jobs Introducing a spark remote shuffle service like Apache Celeborn/Uniffle is a good option. -- 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] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
