This is your 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/35847 The LoadTests Python CoGBK Flink
Batch job is flaky
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/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/25946 [Task]: Support more Beam portable
schema types as Python types
P1 Issues with no update in the last week:
https://github.com/apache/beam/issues/35832 The PreCommit Python Transforms job
is flaky
https://github.com/apache/beam/issues/35211 [Failing Test]:
:sdks:python:test-suites:tox:py39:testPython39 can be flaky
https://github.com/apache/beam/issues/32949 The PostCommit Java ValidatesRunner
Flink Java8 job is flaky
https://github.com/apache/beam/issues/30519 The PostCommit XVR GoUsingJava
Dataflow job is flaky
https://github.com/apache/beam/issues/25975 [Bug]: KinesisIO processing-time
watermarking can cause data loss
https://github.com/apache/beam/issues/24776 [Bug]: Race condition in Python SDK
Harness ProcessBundleProgress
https://github.com/apache/beam/issues/21298 Make cloudpickle the default pickle
library
