KafkaIO Parameter Issue | Runtime PipelineOptions | Apche Beam
Hello Beam Team, I am using apache beam for reading from Kafka using KafkaIO in Dataflow Runner. Here I am facing an issue to make KafkaIO Parameters (like -> Config, topics) dynamic. I mean, when I am making these parameters as a PipelineOptions using RuntimeValueProvider My Dataflow Template is not getting created and getting errors that KafkaIO does not support RuntimeValueProvider. So in this case can you please suggest or give any sample code to make these parameters as PipelineOptions. Thanks & Regards *Himanshu Singhal* M:- +917821076244 E:- singhal.himansh...@gmail.com
Re: [VOTE] Vendored Dependency guava 32.1.2-jre Release
+1 (binding) Verified the signature and checksum of artifacts. Thanks, Cham On Thu, Aug 3, 2023 at 12:02 PM Yi Hu via dev wrote: > Hi everyone, > > > Please review the release of the following artifacts that we vendor: > > > * beam-vendor-guava-32_1_2-jre > > > Please review and vote on the release candidate 1 for the version 0.1, as > follows: > [ ] +1, Approve the release > [ ] -1, Do not approve the release (please provide specific comments) > > > The complete staging area is available for your review, which includes: > * the official Apache source release to be deployed to dist.apache.org > [1], which is signed with the key with fingerprint 170405CB [2], > * all artifacts to be deployed to the Maven Central Repository [3], > * commit hash "ef2ca7a" [4], > > * Testing PR on the vendored dependency [5] > > The vote will be open for at least 72 hours. It is adopted by majority > approval, with at least 3 PMC affirmative votes. > > Thanks, > Release Manager > > [1] https://dist.apache.org/repos/dist/dev/beam/vendor/ > [2] https://dist.apache.org/repos/dist/release/beam/KEYS > [3] https://repository.apache.org/content/repositories/orgapachebeam-1350/ > [4] > https://github.com/apache/beam/commit/ef2ca7aa49ec75c3ab4e3a94b7ad8162e1c81c1e > [5] https://github.com/apache/beam/pull/27825 > > Regards, > Yi > > -- > > Yi Hu, (he/him/his) > > Software Engineer > > >
Beam High Priority Issue Report (38)
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/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/26981 [Bug]: Getting an error related to SchemaCoder after upgrading to 2.48 https://github.com/apache/beam/issues/26969 [Failing Test]: Python PostCommit is failing due to exceeded rate limits https://github.com/apache/beam/issues/26911 [Bug]: UNNEST ARRAY with a nested ROW (described below) https://github.com/apache/beam/issues/26354 [Bug]: BigQueryIO direct read not reading all rows when set --setEnableBundling=true 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/25975 [Bug]: Reducing parallelism in FlinkRunner leads to a data loss 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$BasicTests.testAfterProcessingTimeContinuationTriggerUsingState https://github.com/apache/beam/issues/22605 [Bug]: Beam Python failure for dataflow_exercise_metrics_pipeline_test.ExerciseMetricsPipelineTest.test_metrics_it https://github.com/apache/beam/issues/21714 PulsarIOTest.testReadFromSimpleTopic is very flaky https://github.com/apache/beam/issues/21708 beam_PostCommit_Java_DataflowV2, testBigQueryStorageWrite30MProto failing consistently https://github.com/apache/beam/issues/21706 Flaky timeout in github Python unit test action StatefulDoFnOnDirectRunnerTest.test_dynamic_timer_clear_then_set_timer https://github.com/apache/beam/issues/21643 FnRunnerTest with non-trivial (order 1000 elements) numpy input flakes in non-cython environment https://github.com/apache/beam/issues/21476 WriteToBigQuery Dynamic table destinations returns wrong tableId https://github.com/apache/beam/issues/21469 beam_PostCommit_XVR_Flink flaky: Connection refused https://github.com/apache/beam/issues/21424 Java VR (Dataflow, V2, Streaming) failing: ParDoTest$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/21121 apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT.test_streaming_wordcount_it flakey https://github.com/apache/beam/issues/21104 Flaky: apache_beam.runners.portability.fn_api_runner.fn_runner_test.FnApiRunnerTestWithGrpcAndMultiWorkers https://github.com/apache/beam/issues/20976 apache_beam.runners.portability.flink_runner_test.FlinkRunnerTestOptimized.test_flink_metrics is flaky https://github.com/apache/beam/issues/20108 Python direct runner doesn't emit empty pane when it should https://github.com/apache/beam/issues/19814 Flink streaming flakes in ParDoLifecycleTest.testTeardownCalledAfterExceptionInStartBundleStateful and ParDoLifecycleTest.testTeardownCalledAfterExceptionInProcessElementStateful P1 Issues with no update
