avantgardnerio commented on PR #23167: URL: https://github.com/apache/datafusion/pull/23167#issuecomment-4794793949
> Spark plans a shuffle join initially, lets the input shuffle map stages actually run, reads the byte counts that came out of those stages, and then re-runs the optimizer... Spark's shuffle is a pipeline breaker; this PR is stating that any pipeline breaker gives us the same epistemic guarantee, just at finer granularity than full-stage shuffles -- 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]
