+1 (non-binding). Tested Go SDK with Dataflow on own use cases.
On Fri, Dec 29, 2023 at 2:57 AM Yi Hu via dev <dev@beam.apache.org> wrote: > +1 (non-binding) > > Tested with Beam GCP IOs benchmarking ( > https://github.com/GoogleCloudPlatform/DataflowTemplates/tree/main/it/google-cloud-platform > ) > > On Thu, Dec 28, 2023 at 11:36 AM Svetak Sundhar via dev < > dev@beam.apache.org> wrote: > >> +1 (non binding) >> >> Tested with Healthcare notebooks. >> >> >> Svetak Sundhar >> >> Data Engineer >> s <nellywil...@google.com>vetaksund...@google.com >> >> >> >> On Thu, Dec 28, 2023 at 3:52 AM Jan Lukavský <je...@seznam.cz> wrote: >> >>> +1 (binding) >>> >>> Tested Java SDK with Flink Runner. >>> >>> Jan >>> On 12/27/23 14:13, Danny McCormick via dev wrote: >>> >>> +1 (non-binding) >>> >>> Tested with some example ML notebooks. >>> >>> Thanks, >>> Danny >>> >>> On Tue, Dec 26, 2023 at 6:41 PM XQ Hu via dev <dev@beam.apache.org> >>> wrote: >>> >>>> +1 (non-binding) >>>> >>>> Tested with the simple RunInference pipeline: >>>> https://github.com/google/dataflow-ml-starter/actions/runs/7332832875/job/19967521369 >>>> >>>> On Tue, Dec 26, 2023 at 3:29 PM Jack McCluskey via dev < >>>> dev@beam.apache.org> wrote: >>>> >>>>> Happy holidays everyone, >>>>> >>>>> Please review and vote on the release candidate #2 for the version >>>>> 2.53.0, 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 DF3CBA4F3F4199F4 >>>>> (D20316F712213422 if automated) [3], >>>>> * all artifacts to be deployed to the Maven Central Repository [4], >>>>> * source code tag "v1.2.3-RC3" [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 the >>>>> dist.apache.org [2] and PyPI[8]. >>>>> * Go artifacts and documentation are available at pkg.go.dev [9] >>>>> * Validation sheet with a tab for 2.53.0 release to help with >>>>> validation [10]. >>>>> * Docker images published to Docker Hub [11]. >>>>> * PR to run tests against release branch [12]. >>>>> >>>>> The vote will be open for at least 72 hours. 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/17 >>>>> [2] https://dist.apache.org/repos/dist/dev/beam/2.53.0/ >>>>> [3] https://dist.apache.org/repos/dist/release/beam/KEYS >>>>> [4] >>>>> https://repository.apache.org/content/repositories/orgapachebeam-1365/ >>>>> [5] https://github.com/apache/beam/tree/v2.53.0-RC2 >>>>> [6] https://github.com/apache/beam/pull/29856 >>>>> [7] https://github.com/apache/beam-site/pull/657 >>>>> [8] https://pypi.org/project/apache-beam/2.53.0rc2/ >>>>> [9] >>>>> https://pkg.go.dev/github.com/apache/beam/sdks/v2@v2.53.0-RC2/go/pkg/beam >>>>> [10] >>>>> https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=1290249774 >>>>> [11] https://hub.docker.com/search?q=apache%2Fbeam&type=image >>>>> [12] https://github.com/apache/beam/pull/29758 >>>>> [13] >>>>> https://github.com/apache/beam/blob/master/contributor-docs/rc-testing-guide.md >>>>> >>>>> >>>>> -- >>>>> >>>>> >>>>> Jack McCluskey >>>>> SWE - DataPLS PLAT/ Dataflow ML >>>>> RDU >>>>> jrmcclus...@google.com >>>>> >>>>> >>>>>
