+1 (binding) - I validated this with a few ML pipelines on the interactive and Dataflow runners.
Thanks, Danny On Fri, Feb 7, 2025 at 4:00 PM XQ Hu via dev <dev@beam.apache.org> wrote: > +1 (non-binding). Tested it with a simple Dataflow ML pipeline: > https://github.com/google/dataflow-ml-starter/actions/runs/13205730673/job/36868592036 > > On Fri, Feb 7, 2025 at 11:46 AM Jack McCluskey via dev < > dev@beam.apache.org> wrote: > >> Hi everyone, >> >> Please review and vote on the release candidate #1 for the version >> 2.63.0, as follows: >> [ ] +1, Approve the release >> [ ] -1, Do not approve the release (please provide specific comments) >> >> Reviewers are encouraged to test their own use cases with the release >> candidate, and vote +1 if no issues are found. Only PMC member votes will >> count towards the final vote, but votes from all community members are >> encouraged and helpful for finding regressions; you can either test your >> own use cases [13] or use cases from the validation sheet [10]. >> >> The complete staging area is available for your review, which includes: >> * GitHub Release notes [1], >> * the official Apache source release to be deployed to dist.apache.org >> [2], which is signed with the key with fingerprint FFFFFFFF >> (D20316F712213422 if automated) [3], >> * all artifacts to be deployed to the Maven Central Repository [4], >> * source code tag "v2.63.0-RC1" [5], >> * website pull request listing the release [6], the blog post [6], and >> publishing the API reference manual [7]. >> * Python artifacts are deployed along with the source release to >> dist.apache.org [2] and PyPI[8]. >> * Go artifacts and documentation are available at pkg.go.dev [9] >> * Validation sheet with a tab for 2.63.0 release to help with validation >> [10]. >> * Docker images published to Docker Hub [11]. >> * PR to run tests against release branch [12]. >> * Github Release pre-release page for v2.63.0-RC1 [13]. >> >> The vote will be open for at least 72 hours. Given that it is Friday, I >> will not be including the weekend in the vote period. It is adopted by >> majority approval, with at least 3 PMC affirmative votes. >> >> For guidelines on how to try the release in your projects, check out our >> RC testing guide [13]. >> >> Thanks, >> >> Jack McCluskey >> >> [1] https://github.com/apache/beam/milestone/27 >> [2] https://dist.apache.org/repos/dist/dev/beam/2.63.0/ >> [3] https://dist.apache.org/repos/dist/release/beam/KEYS >> [4] >> https://repository.apache.org/content/repositories/orgapachebeam-1399/ >> [5] https://github.com/apache/beam/tree/v2.63.0-RC1 >> [6] https://github.com/apache/beam/pull/33905 >> [7] https://github.com/apache/beam-site/pull/676 >> [8] https://pypi.org/project/apache-beam/2.63.0rc1/ >> [9] >> https://pkg.go.dev/github.com/apache/beam/sdks/v2@v2.63.0-RC1/go/pkg/beam >> [10] >> https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=1785697132 >> [11] https://hub.docker.com/search?q=apache%2Fbeam&type=image >> [12] https://github.com/apache/beam/pull/33870 >> [13] https://github.com/apache/beam/releases/tag/v2.63.0-RC1 >> [14] >> https://github.com/apache/beam/blob/master/contributor-docs/rc-testing-guide.md >> >> -- >> >> >> Jack McCluskey >> SWE - DataPLS PLAT/ Dataflow ML >> RDU >> jrmcclus...@google.com >> >> >>
