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/24021 [Bug]: SparkReceriverIO and KafkaIO
performance tests failing due to unschedulable pods on k8s
https://github.com/apache/beam/issues/24016 Failure in test:
"beam_PerformanceTests_Kafka_IO" - timed out waiting for the condition on
jobs/kafka-config
https://github.com/apache/beam/issues/23982 [Bug]: Could not find a version
that matches protobuf
https://github.com/apache/beam/issues/23974 [Bug]: The top tesult for "Beam
godocs" in Google points to an old Godocs page of Beam
https://github.com/apache/beam/issues/23944 beam_PreCommit_Python_Cron
regularily failing - test_pardo_large_input flaky
https://github.com/apache/beam/issues/23815 [Bug]: Neo4j tests failing
https://github.com/apache/beam/issues/23745 [Bug]: Samza
AsyncDoFnRunnerTest.testSimplePipeline is flaky
https://github.com/apache/beam/issues/23709 [Flake]: Spark batch flakes in
ParDoLifecycleTest.testTeardownCalledAfterExceptionInProcessElement and
ParDoLifecycleTest.testTeardownCalledAfterExceptionInStartBundle
https://github.com/apache/beam/issues/22969 Discrepancy in behavior of
`DoFn.process()` when `yield` is combined with `return` statement, or vice versa
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/22321
PortableRunnerTestWithExternalEnv.test_pardo_large_input is regularly failing
on jenkins
https://github.com/apache/beam/issues/21713 404s in BigQueryIO don't get output
to Failed Inserts PCollection
https://github.com/apache/beam/issues/21561
ExternalPythonTransformTest.trivialPythonTransform flaky
https://github.com/apache/beam/issues/21469 beam_PostCommit_XVR_Flink flaky:
Connection refused
https://github.com/apache/beam/issues/21462 Flake in
org.apache.beam.sdk.io.mqtt.MqttIOTest.testReadObject: Address already in use
https://github.com/apache/beam/issues/21261
org.apache.beam.runners.dataflow.worker.fn.logging.BeamFnLoggingServiceTest.testMultipleClientsFailingIsHandledGracefullyByServer
is flaky
https://github.com/apache/beam/issues/21260 Python DirectRunner does not emit
data at GC time
https://github.com/apache/beam/issues/21123 Multiple jobs running on Flink
session cluster reuse the persistent Python environment.
https://github.com/apache/beam/issues/21113
testTwoTimersSettingEachOtherWithCreateAsInputBounded flaky
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/20975
org.apache.beam.runners.flink.ReadSourcePortableTest.testExecution[streaming:
false] is flaky
https://github.com/apache/beam/issues/20974 Python GHA PreCommits flake with
grpc.FutureTimeoutError on SDK harness startup
https://github.com/apache/beam/issues/20689 Kafka commitOffsetsInFinalize OOM
on Flink
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
https://github.com/apache/beam/issues/19734
WatchTest.testMultiplePollsWithManyResults flake: Outputs must be in timestamp
order (sickbayed)
https://github.com/apache/beam/issues/19241 Python Dataflow integration tests
should export the pipeline Job ID and console output to Jenkins Test Result
section
P1 Issues with no update in the last week:
https://github.com/apache/beam/issues/23906 [Bug]: Dataflow jpms tests fail on
the 2.43.0 release branch
https://github.com/apache/beam/issues/23875 [Bug]: beam.Row.__eq__ returns true
for unequal rows
https://github.com/apache/beam/issues/23855 [FLAKY-WORKFLOW] [10535797]: THIS
IS A TEST, PLEASE IGNORE #1
https://github.com/apache/beam/issues/23627 [Bug]: Website precommit flaky
https://github.com/apache/beam/issues/23525 [Bug]: Default PubsubMessage coder
will drop message id and orderingKey
https://github.com/apache/beam/issues/23489 [Bug]: add DebeziumIO to the
connectors page
https://github.com/apache/beam/issues/23306 [Bug]: BigQueryBatchFileLoads in
python loses data when using WRITE_TRUNCATE
https://github.com/apache/beam/issues/23286 [Bug]:
beam_PerformanceTests_InfluxDbIO_IT Flaky > 50 % Fail
https://github.com/apache/beam/issues/22891 [Bug]:
beam_PostCommit_XVR_PythonUsingJavaDataflow is flaky
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/22299 [Bug]: JDBCIO Write freeze at
getConnection() in WriteFn
https://github.com/apache/beam/issues/22115 [Bug]:
apache_beam.runners.portability.portable_runner_test.PortableRunnerTestWithSubprocesses
is flaky
https://github.com/apache/beam/issues/22011 [Bug]:
org.apache.beam.sdk.io.aws2.kinesis.KinesisIOWriteTest.testWriteFailure flaky
https://github.com/apache/beam/issues/21893 [Bug]: BigQuery Storage Write API
implementation does not support table partitioning
https://github.com/apache/beam/issues/21714
PulsarIOTest.testReadFromSimpleTopic is very flaky
https://github.com/apache/beam/issues/21711 Python Streaming job failing to
drain with BigQueryIO write errors
https://github.com/apache/beam/issues/21709
beam_PostCommit_Java_ValidatesRunner_Samza Failing
https://github.com/apache/beam/issues/21708 beam_PostCommit_Java_DataflowV2,
testBigQueryStorageWrite30MProto failing consistently
https://github.com/apache/beam/issues/21707 GroupByKeyTest BasicTests
testLargeKeys100MB flake (on ULR)
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/21700
--dataflowServiceOptions=use_runner_v2 is broken
https://github.com/apache/beam/issues/21696 Flink Tests failure :
java.lang.NoClassDefFoundError: Could not initialize class
org.apache.beam.runners.core.construction.SerializablePipelineOptions
https://github.com/apache/beam/issues/21695 DataflowPipelineResult does not
raise exception for unsuccessful states.
https://github.com/apache/beam/issues/21645
beam_PostCommit_XVR_GoUsingJava_Dataflow fails on some test transforms
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/21474 Flaky tests: Gradle build daemon
disappeared unexpectedly
https://github.com/apache/beam/issues/21424 Java VR (Dataflow, V2, Streaming)
failing: ParDoTest$TimestampTests/OnWindowExpirationTests
https://github.com/apache/beam/issues/21368 Reduce number of Gax related
threads, likely by providing common executor to GAX clients
https://github.com/apache/beam/issues/21333 Flink testParDoRequiresStableInput
flaky
https://github.com/apache/beam/issues/21262 Python AfterAny, AfterAll do not
follow spec
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/21111 Java creates an incorrect pipeline
proto when core-construction-java jar is not in the CLASSPATH
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/20814 JmsIO is not acknowledging messages
correctly
https://github.com/apache/beam/issues/20812 Cross-language consistency
(RequiresStableInputs) is quietly broken (at least on portable flink runner)
https://github.com/apache/beam/issues/20528 python
CombineGlobally().with_fanout() cause duplicate combine results for sliding
windows
