Re: [VOTE] Release 2.54.0, release candidate #1
+1 validated by running the simple RunInference ML pipeline: https://github.com/google/dataflow-ml-starter/actions/runs/7761835540/job/21171080332 On Fri, Feb 2, 2024 at 4:10 PM Robert Burke wrote: > Hi everyone, > Please review and vote on the release candidate #1 for the version 2.54.0, > 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 is 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 D20316F712213422 [3], > * all artifacts to be deployed to the Maven Central Repository [4], > * source code tag "v2.54.0-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 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 2.54.0 release to help with validation > [10]. > * Docker images published to Docker Hub [11]. > * PR to run tests against release branch [12]. > * Legacy Dataflow Java Worker image has been published, so the failing > tests are being re-run. > > 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, > Robert Burke > Beam 2.54.0 Release Manager > > [1] https://github.com/apache/beam/milestone/18?closed=1 > [2] https://dist.apache.org/repos/dist/dev/beam/2.54.0/ > [3] https://dist.apache.org/repos/dist/release/beam/KEYS > [4] https://repository.apache.org/content/repositories/orgapachebeam-1367/ > [5] https://github.com/apache/beam/tree/v2.54.0-RC1 > [6] https://github.com/apache/beam/pull/30201 > [7] https://github.com/apache/beam-site/pull/658 > [8] https://pypi.org/project/apache-beam/2.54.0rc1/ > [9] > https://pkg.go.dev/github.com/apache/beam/sdks/v2@v2.54.0-RC1/go/pkg/beam > [10] > https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=28763708 > [11] https://hub.docker.com/search?q=apache%2Fbeam&type=image > [12] https://github.com/apache/beam/pull/30104 > [13] > https://github.com/apache/beam/blob/master/contributor-docs/rc-testing-guide.md >
[VOTE] Release 2.54.0, release candidate #1
Hi everyone, Please review and vote on the release candidate #1 for the version 2.54.0, 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 is 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 D20316F712213422 [3], * all artifacts to be deployed to the Maven Central Repository [4], * source code tag "v2.54.0-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 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 2.54.0 release to help with validation [10]. * Docker images published to Docker Hub [11]. * PR to run tests against release branch [12]. * Legacy Dataflow Java Worker image has been published, so the failing tests are being re-run. 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, Robert Burke Beam 2.54.0 Release Manager [1] https://github.com/apache/beam/milestone/18?closed=1 [2] https://dist.apache.org/repos/dist/dev/beam/2.54.0/ [3] https://dist.apache.org/repos/dist/release/beam/KEYS [4] https://repository.apache.org/content/repositories/orgapachebeam-1367/ [5] https://github.com/apache/beam/tree/v2.54.0-RC1 [6] https://github.com/apache/beam/pull/30201 [7] https://github.com/apache/beam-site/pull/658 [8] https://pypi.org/project/apache-beam/2.54.0rc1/ [9] https://pkg.go.dev/github.com/apache/beam/sdks/v2@v2.54.0-RC1/go/pkg/beam [10] https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=28763708 [11] https://hub.docker.com/search?q=apache%2Fbeam&type=image [12] https://github.com/apache/beam/pull/30104 [13] https://github.com/apache/beam/blob/master/contributor-docs/rc-testing-guide.md
Beam High Priority Issue Report (49)
This is your daily summary of Beam's current high priority issues that may need attention. See https://beam.apache.org/contribute/issue-priorities for the meaning and expectations around issue priorities. Unassigned P1 Issues: https://github.com/apache/beam/issues/30165 [Bug]: Need to update outdated node before website tools break. https://github.com/apache/beam/issues/30159 [Failing Test]: PostCommit Python Xlang Gcp Direct and Dataflow failing due to #30059 https://github.com/apache/beam/issues/29971 [Bug]: FixedWindows not working for large Kafka topic https://github.com/apache/beam/issues/29926 [Bug]: FileIO: lack of timeouts may cause the pipeline to get stuck indefinitely https://github.com/apache/beam/issues/29902 [Bug]: Messages are not ACK on Pubsub starting Beam 2.52.0 on Flink Runner in detached mode https://github.com/apache/beam/issues/29099 [Bug]: FnAPI Java SDK Harness doesn't update user counters in OnTimer callback functions https://github.com/apache/beam/issues/28760 [Bug]: EFO Kinesis IO reader provided by apache beam does not pick the event time for watermarking https://github.com/apache/beam/issues/28383 [Failing Test]: org.apache.beam.runners.dataflow.worker.StreamingDataflowWorkerTest.testMaxThreadMetric https://github.com/apache/beam/issues/28339 Fix failing "beam_PostCommit_XVR_GoUsingJava_Dataflow" job https://github.com/apache/beam/issues/28326 Bug: apache_beam.io.gcp.pubsublite.ReadFromPubSubLite not working https://github.com/apache/beam/issues/27892 [Bug]: ignoreUnknownValues not working when using CreateDisposition.CREATE_IF_NEEDED https://github.com/apache/beam/issues/27648 [Bug]: Python SDFs (e.g. PeriodicImpulse) running in Flink and polling using tracker.defer_remainder have checkpoint size growing indefinitely https://github.com/apache/beam/issues/27616 [Bug]: Unable to use applyRowMutations() in bigquery IO apache beam java https://github.com/apache/beam/issues/27486 [Bug]: Read from datastore with inequality filters https://github.com/apache/beam/issues/27314 [Failing Test]: bigquery.StorageApiSinkCreateIfNeededIT.testCreateManyTables[1] https://github.com/apache/beam/issues/27238 [Bug]: Window trigger has lag when using Kafka and GroupByKey on Dataflow Runner https://github.com/apache/beam/issues/26911 [Bug]: UNNEST ARRAY with a nested ROW (described below) https://github.com/apache/beam/issues/26343 [Bug]: apache_beam.io.gcp.bigquery_read_it_test.ReadAllBQTests.test_read_queries is flaky https://github.com/apache/beam/issues/26329 [Bug]: BigQuerySourceBase does not propagate a Coder to AvroSource https://github.com/apache/beam/issues/26041 [Bug]: Unable to create exactly-once Flink pipeline with stream source and file sink https://github.com/apache/beam/issues/24776 [Bug]: Race condition in Python SDK Harness ProcessBundleProgress https://github.com/apache/beam/issues/24389 [Failing Test]: HadoopFormatIOElasticTest.classMethod ExceptionInInitializerError ContainerFetchException https://github.com/apache/beam/issues/24313 [Flaky]: apache_beam/runners/portability/portable_runner_test.py::PortableRunnerTestWithSubprocesses::test_pardo_state_with_custom_key_coder https://github.com/apache/beam/issues/23944 beam_PreCommit_Python_Cron regularily failing - test_pardo_large_input flaky https://github.com/apache/beam/issues/23709 [Flake]: Spark batch flakes in ParDoLifecycleTest.testTeardownCalledAfterExceptionInProcessElement and ParDoLifecycleTest.testTeardownCalledAfterExceptionInStartBundle https://github.com/apache/beam/issues/23525 [Bug]: Default PubsubMessage coder will drop message id and orderingKey https://github.com/apache/beam/issues/22913 [Bug]: beam_PostCommit_Java_ValidatesRunner_Flink is flakes in org.apache.beam.sdk.transforms.GroupByKeyTest$BasicTests.testAfterProcessingTimeContinuationTriggerUsingState https://github.com/apache/beam/issues/22605 [Bug]: Beam Python failure for dataflow_exercise_metrics_pipeline_test.ExerciseMetricsPipelineTest.test_metrics_it https://github.com/apache/beam/issues/21714 PulsarIOTest.testReadFromSimpleTopic is very flaky https://github.com/apache/beam/issues/21706 Flaky timeout in github Python unit test action StatefulDoFnOnDirectRunnerTest.test_dynamic_timer_clear_then_set_timer https://github.com/apache/beam/issues/21643 FnRunnerTest with non-trivial (order 1000 elements) numpy input flakes in non-cython environment https://github.com/apache/beam/issues/21476 WriteToBigQuery Dynamic table destinations returns wrong tableId https://github.com/apache/beam/issues/21469 beam_PostCommit_XVR_Flink flaky: Connection refused https://github.com/apache/beam/issues/21424 Java VR (Dataflow, V2, Streaming) failing: ParDoTest$TimestampTests/OnWindowExpirationTests https://github.com/apache/beam/issues/21262 Python AfterAny, AfterAll do not follow spec https://github.com/apache/beam/issues/21260 Python DirectRunner does not emit data at GC time https://github.com/apache/beam/issues/21
