andygrove commented on code in PR #7516: URL: https://github.com/apache/datafusion-comet/pull/7516#discussion_r4484478515
########## docs/source/contributor-guide/ci.md: ########## @@ -158,7 +160,9 @@ Some things to know: `main` that adds nothing to upstream, such as syncing your fork, selects no suite, so it warms nothing, and a branch run rebuilds the native library. A run of the PR tier on a fork with cold caches took about an hour of wall time and 240 runner-minutes, of which the native build alone was - 23 minutes. The same run with warm caches took 50 minutes and 213 runner-minutes. + 23 minutes. The same run with warm caches took 50 minutes and 213 runner-minutes. Those figures + predate the Spark SQL and Iceberg suites joining the PR tier; a change that routes to them adds + their shards, which run in parallel with the Linux build's test matrix. Review Comment: Thanks, applied your suggestion with the numbers from this PR's fork run (89 minutes, about 650 runner-minutes, 45 minutes for the Spark SQL build before its shards start) in d5b7569d98. -- 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]
