> I put up a pr to reduce it to weekly if folks agree -
https://github.com/apache/beam/pull/33906

I went ahead and merged this since I got some positive feedback/approvals,
and there didn't seem to be objections. It is easily reversible if someone
disagrees.

On Thu, Feb 6, 2025 at 2:03 PM Ahmet Altay <al...@google.com> wrote:

>
>
> On Thu, Feb 6, 2025 at 10:00 AM Danny McCormick via dev <
> dev@beam.apache.org> wrote:
>
>> I do look at this most of the time and sometimes take action on it (maybe
>> once every week or 2). I agree that I mostly care about (a) the new issues
>> and (b) the ones which aren't just flaky tests.
>>
>> I'd probably vote we keep it, but reduce the frequency from daily to
>> weekly (or even monthly). I put up a pr to reduce it to weekly if folks
>> agree - https://github.com/apache/beam/pull/33906
>>
>
> Thank you for regularly reviewing this list!
>
> Changing to a weekly frequency sounds good to me.
>
>
>>
>> > I think getting an alert when a new high priority issue comes in is
>> valuable. If we could pare this down so that it was truly an alert rather
>> than a summary, I would pay attention.
>>
>> I agree, getting something like the diff between last week and this week
>> would be more helpful if someone wants to pick that up.
>>
>> On Thu, Feb 6, 2025 at 12:50 PM Robert Burke <rob...@frantil.com> wrote:
>>
>>> The content does strike me as a dashboard snapshot more than something
>>> for the list.
>>>
>>> Really, it feels like something we could have as a badge link on the
>>> main repo page, to see the latest results, instead of sending an email.
>>>
>>> The trick there is visibility. If we have a way to kick the results
>>> generation on demand, it should probably be documented somewhere related.
>>>
>>>
>>>
>>> On Thu, Feb 6, 2025, 9:17 AM Ahmet Altay via dev <dev@beam.apache.org>
>>> wrote:
>>>
>>>> I think these emails clutter the dev list. Not really a big problem,
>>>> those could be easily filtered out. I think for newcomers, this list might
>>>> easily look like a list for machine generated emails rather than a place
>>>> for discussion.
>>>>
>>>> On Thu, Feb 6, 2025 at 7:20 AM Kenneth Knowles <k...@apache.org> wrote:
>>>>
>>>>> I did use them for some time but now I am not. They are too frequent,
>>>>> and I think we have more high priority issues than we have bandwidth to
>>>>> take action on.
>>>>>
>>>>> I think getting an alert when a new high priority issue comes in is
>>>>> valuable. If we could pare this down so that it was truly an alert rather
>>>>> than a summary, I would pay attention.
>>>>>
>>>>
>>>> I agree.
>>>>
>>>>
>>>>>
>>>>> Kenn
>>>>>
>>>>> On Wed, Feb 5, 2025 at 6:59 PM Ahmet Altay via dev <
>>>>> dev@beam.apache.org> wrote:
>>>>>
>>>>>> Curiosity question: Is anyone using this email report or the beam
>>>>>> metrics email?
>>>>>>
>>>>>> On Wed, Feb 5, 2025 at 2:02 AM <beamacti...@gmail.com> wrote:
>>>>>>
>>>>>>> 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/33859 The PostCommit Java
>>>>>>> ValidatesRunner ULR job is flaky
>>>>>>> https://github.com/apache/beam/issues/33854 [Failing Test]:
>>>>>>> AttributeError for MaybeReshuffle in Python SDK
>>>>>>> https://github.com/apache/beam/issues/33853 [Failing Test]:
>>>>>>> Namespace error for prism_runner in Python STD
>>>>>>> https://github.com/apache/beam/issues/33852 [Failing Test]:
>>>>>>> ValueError in yaml for Python SDK
>>>>>>> https://github.com/apache/beam/issues/33851 [Failing Test]:
>>>>>>> portable_runner_test in Python SDK
>>>>>>> https://github.com/apache/beam/issues/33834 The Republish Released
>>>>>>> Docker Images job is flaky
>>>>>>> https://github.com/apache/beam/issues/33698 The finalize_release
>>>>>>> job is flaky
>>>>>>> https://github.com/apache/beam/issues/33407 [Bug]: tfrecordio does
>>>>>>> not work with snappy >= 0.7
>>>>>>> https://github.com/apache/beam/issues/32997 [Bug]: Non Retained
>>>>>>> Messages missing after MqttIO.Read checkpoint restore
>>>>>>> https://github.com/apache/beam/issues/32509 [Bug]: Unable to
>>>>>>> Restart Google Spanner Change Streams Consumer due to
>>>>>>> tableExists(table_name) bug
>>>>>>> https://github.com/apache/beam/issues/31254 [Failing Test]: Onnx
>>>>>>> inference unit tests are failing.
>>>>>>> https://github.com/apache/beam/issues/29971 [Bug]: FixedWindows not
>>>>>>> working for large Kafka topic
>>>>>>> https://github.com/apache/beam/issues/29515 [Bug]: WriteToFiles in
>>>>>>> python leave few records in temp directory when writing to large number
>>>>>>> (100+) of files
>>>>>>> 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/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
>>>>>>> https://github.com/apache/beam/issues/24776 [Bug]: Race condition
>>>>>>> in Python SDK Harness ProcessBundleProgress
>>>>>>> https://github.com/apache/beam/issues/23525 [Bug]: Default
>>>>>>> PubsubMessage coder will drop message id and orderingKey
>>>>>>> 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/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/21260 Python DirectRunner
>>>>>>> does not emit data at GC time
>>>>>>> https://github.com/apache/beam/issues/20108 Python direct runner
>>>>>>> doesn't emit empty pane when it should
>>>>>>>
>>>>>>>
>>>>>>> P1 Issues with no update in the last week:
>>>>>>>
>>>>>>> https://github.com/apache/beam/issues/33744 [Flaky Py SDK
>>>>>>> Snapshots]: Publish Beam SDK Snapshots is failing for Python distroless
>>>>>>> container
>>>>>>> https://github.com/apache/beam/issues/33065 The Python
>>>>>>> ValidatesContainer Dataflow ARM job is flaky
>>>>>>> https://github.com/apache/beam/issues/31931 The IcebergIO
>>>>>>> Integration Tests job is flaky
>>>>>>> https://github.com/apache/beam/issues/30507 The LoadTests Go GBK
>>>>>>> Flink Batch job is flaky
>>>>>>> https://github.com/apache/beam/issues/30502 The LoadTests Go CoGBK
>>>>>>> Flink Batch job is flaky
>>>>>>> https://github.com/apache/beam/issues/25975 [Bug]: KinesisIO
>>>>>>> processing-time watermarking can cause data loss
>>>>>>>
>>>>>>>
>>>>>>>

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