sunchao opened a new pull request, #5423: URL: https://github.com/apache/datafusion-comet/pull/5423
## Why are the changes needed? Native grouped aggregate spill and memory metrics are not exposed consistently in Spark SQL execution metrics, making memory-pressure diagnosis difficult. ## What changes were proposed in this PR? Expose native grouped aggregate spill count, spilled bytes, spilled rows, and peak memory usage. Attribute metrics to the correct aggregate operator and exclude sampling-only aggregates. ## How was this PR tested? Ran focused aggregate spill regression tests and Spotless formatting checks. -- 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]
