progval opened a new pull request, #9640: URL: https://github.com/apache/arrow-datafusion/pull/9640
## Which issue does this PR close? Closes #9639. ## Rationale for this change This helps diagnostic whether a Bloom filter mismatches (because of high false-positive probability caused by suboptimal tuning) or is not used at all. ## What changes are included in this PR? Add the statistics and add corresponding assertions in tests. Given the increasing number of assertions, I made them print which one failed, so we don't have to refer to line numbers when reading test failures. ## Are these changes tested? It's mostly just additional tests. The UI change affects a test, which I updated accordingly. ## Are there any user-facing changes? This adds two metrics in the `EXPLAIN ANALYZE` output. -- 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]
