On Fri, Jul 17, 2020 at 10:01 AM Robert Bradshaw <[email protected]>
wrote:

> Taking a step back, the goal of avoiding cherry-picks is to reduce
> risk and increase the velocity of our releases, as otherwise the
> release manager gets inundated by a never ending list of features
> people want to get in that puts the releases further and further
> behind (increasing the desire to get features in in a vicious cycle).
> On the flip side, the reason we have a release process with candidates
> and voting (as opposed to just declaring a commit id every N weeks to
> be "the release") is to give us the flexibility to achieve a level of
> quality and polish that may not ever occur in HEAD itself.
>
> With regards to this specific cross-langauge fix, the motivation is
> that those working on it at Google want to widely publish this feature
> as newly available on Dataflow. The question to answer here (Cham) is
> whether this bug is debilitating enough that were it not to be in the
> release we would want to hold off advertising this (and related)
> features until the next release. (In my understanding, it would result
> in a poor enough user experience that it is.)
>

Yes, I think we will have to either hold off on widely publishing the
feature or list this as a potential issue that will be fixed in the next
release for anybody who tries cross-language pipelines and runs into this.
Note that we are getting in a Python Kafka example [1]. So users will
potentially try this out anyways.

[1] https://github.com/apache/beam/pull/12188



>
> On the other hand, there's the question of the cost of getting this
> fix into the release. The change is simple and well contained, so I
> think the risk is low (and, in particular, the cost to include it here
> is low enough that it's worth the value provided above).
>
> Looking at the other proposals,
> https://github.com/apache/beam/pull/12196 also seems to meet this bar
> (there are possible xlang correctness issues at play here), as does
> https://github.com/apache/beam/pull/12175 (mostly due to its
> simplicity and the fact that doing it later would be a backwards
> compatible change). I'm on the fence about
> https://github.com/apache/beam/pull/12171 (if an RC2 is in the works
> anyway), and IMHO the others are less compelling as having to be done
> now.
>

+1


>
> (On the question of a point release, IMHO anything worth considering
> for an x.y.1 release definitely meets the bar for inclusion into an RC
> of an ongoing release.)
>
> - Robert
>
>
> On Thu, Jul 16, 2020 at 8:00 PM Chamikara Jayalath <[email protected]>
> wrote:
> >
> >
> >
> > On Thu, Jul 16, 2020 at 7:46 PM Chamikara Jayalath <[email protected]>
> wrote:
> >>
> >>
> >>
> >> On Thu, Jul 16, 2020 at 7:28 PM Valentyn Tymofieiev <
> [email protected]> wrote:
> >>>
> >>>
> >>>
> >>> On Thu, Jul 16, 2020, 19:07 Chamikara Jayalath <[email protected]>
> wrote:
> >>>>
> >>>>
> >>>>
> >>>> On Thu, Jul 16, 2020 at 6:16 PM Valentyn Tymofieiev <
> [email protected]> wrote:
> >>>>>
> >>>>> Thanks for the feedback, help with release validation, and for
> reaching out on dev@ regarding a cherry-pick request.
> >>>>>
> >>>>> BEAM-10397 pertains to new functionality (xlang support on
> Dataflow). Are there any reasons that this fix cannot wait until 2.24.0
> (release cut date 4 weeks from now)?
> >>>>>
> >>>>> For transparency, I would like to list other cherry-pick requests
> that I received off-the list (stakeholders bcc'ed):
> >>>>> - https://github.com/apache/beam/pull/12175
> >>>>> - https://github.com/apache/beam/pull/12196
> >>>>> - https://github.com/apache/beam/pull/12171
> >>>>> - https://issues.apache.org/jira/browse/BEAM-10492 (recently added)
> >>>>> - https://issues.apache.org/jira/browse/BEAM-10385
> >>>>> - https://github.com/apache/beam/pull/12187 (was available before
> any of RC1 artifacts were created and integrated)
> >>>>
> >>>>
> >>>> My main concern is Python changes in
> https://github.com/apache/beam/pull/12164. Other changes (at least
> related to x-lang) can wait.
> >>>>
> >>>>>
> >>>>>
> >>>>> My response to such requests is guided by the release guide [1]:
> >>>>>
> >>>>> - None of the issues were a regression from a previous release.
> >>>>> - Most are related to new or recently introduced functionality.
> >>>>> - 3 of the requests are related to xlang io, which is very exciting
> and important functionality, but arguably does not impact a large
> percentage of [existing] users.
> >>>>
> >>>>
> >>>> Agree that this is not a regression from the previous release but it
> may result in inconsistent behavior when users execute x-lang pipelines.
> Actually I think this is a pretty serious issue for portability (we are not
> setting the environment in WindowingStrategy) but for some reason we are
> not hitting this in other tests.
> >>>>
> >>>>>
> >>>>>
> >>>>> So they do not seem to be release-blocking according to the guide.
> >>>>>
> >>>>> At this point creating a new RC would delay 2.23.0 availability by
> at least a week. While a new RC will improve the stability of xlang IO, it
> will also delay the release of  features and bug fixes available in 2.23.0.
> It will also create a precedent of inconsistency with release policy.
> Should we delay the release if we discover another xlang issue during
> validation next week?
> >>>>
> >>>>
> >>>> To be honest, I don't think re-validating after the cherry-pick
> mentioned above will take a week (unless we find other issues). We just
> need to rebuild and re-validate the Python distribution and may be rebuild
> Dataflow containers. I'm volunteering to help you with this :)
> >>>
> >>>
> >>> I was taking 72hrs of voting Window into account that must happen
> outside of the weekend and the fact that I will be OOO for one day.
> >>
> >>
> >> Got it.
> >>
> >>>
> >>>
> >>> If the issue you mention seriously impacts (can cause data loss,
> pipeline failures) all of users on portable stack or other large user base
> (not just cross-language support in Dataflow (new user-base) ), this is
> definitely a candidate for an ASAP fix.
> >>>
> >>> What is your assessment of the size of the user base that is affected
> by the issue (large, medium, small, does not affect production for any of
> existing users)?
> >>
> >>
> >> Impact today I think is low but potential for impact in the future is
> high. For example, if we update Dataflow service or portable runners to
> require environment in WindowingStrategy, we'll have to either fork for
> this or require users to upgrade to a Beam version with the fix.
> >
> >
> > Actually, ignore the "portable runners" part. Seems like we already set
> "context.default_environment_id()" in the WindowingStrategy so impact is
> likely only for Dataflow where we do not set an environment_id in
> serialized WindowingStrategy that is set in GBK.
> >
> >>
> >>
> >> Thanks,
> >> Cham
> >>
> >>>
> >>>
> >>> Thanks!
> >>>
> >>>>
> >>>>>
> >>>>>
> >>>>> My preferred course of action is to continue with RC0, since release
> velocity is important for product health.
> >>>>>
> >>>>> Given that we are having this conversation, we can revise the
> cherry-pick policy if we think it does not adequately cover this situation.
> >>>>
> >>>>
> >>>> Agree. We have a very strong policy currently regarding cherry-picks
> but it's up to the release manager to look into requests on a case-by-case
> basis.
> >>>>
> >>>>>
> >>>>>
> >>>>> We can also propose a patch-version release  with urgent
> cherry-picks (release 2.23.1), or consider a faster release cadence if 6
> weeks is too slow.
> >>>>
> >>>>
> >>>> Honestly I don't think this is practical. Making a new patch release,
> validation, vote etc will take 2 weeks or so. We either should cherry-pick
> this into current release or wait till the next one. I think patch releases
> should be reserved for critical updates to LTS releases.
> >>>>
> >>>> Thanks,
> >>>> Cham
> >>>>
> >>>>>
> >>>>>
> >>>>> Thanks,
> >>>>> Valentyn
> >>>>>
> >>>>> [1]
> https://beam.apache.org/contribute/release-guide/#review-cherry-picks
> >>>>>
> >>>>>
> >>>>>
> >>>>> On Wed, Jul 15, 2020 at 5:41 PM Chamikara Jayalath <
> [email protected]> wrote:
> >>>>>>
> >>>>>> I agree. I think Dataflow x-lang users could run into flaky
> pipelines due to this. Valentyn, are you OK with creating a new RC that
> includes the fix (already merged -
> https://github.com/apache/beam/pull/12164) and preferably
> https://github.com/apache/beam/pull/12196 ?
> >>>>>>
> >>>>>> Thanks,
> >>>>>> Cham
> >>>>>>
> >>>>>> On Wed, Jul 15, 2020 at 5:27 PM Heejong Lee <[email protected]>
> wrote:
> >>>>>>>
> >>>>>>> I think we need to cherry-pick
> https://issues.apache.org/jira/browse/BEAM-10397 which fixes missing
> environment errors for Dataflow xlang pipelines. Internally, we have a
> flaky xlang kafkaio test because of missing environment errors and any
> xlang pipelines using GroupByKey could encounter this.
> >>>>>>>
> >>>>>>> On Wed, Jul 15, 2020 at 5:08 PM Ahmet Altay <[email protected]>
> wrote:
> >>>>>>>>
> >>>>>>>>
> >>>>>>>>
> >>>>>>>> On Wed, Jul 15, 2020 at 4:55 PM Robert Bradshaw <
> [email protected]> wrote:
> >>>>>>>>>
> >>>>>>>>> All the artifacts, signatures, and hashes look good.
> >>>>>>>>>
> >>>>>>>>> I would like to understand the severity of
> >>>>>>>>> https://issues.apache.org/jira/browse/BEAM-10397 before giving
> my
> >>>>>>>>> vote.
> >>>>>>>>
> >>>>>>>>
> >>>>>>>> +Heejong Lee to comment on this.
> >>>>>>>>
> >>>>>>>>>
> >>>>>>>>>
> >>>>>>>>> On Wed, Jul 15, 2020 at 10:51 AM Pablo Estrada <
> [email protected]> wrote:
> >>>>>>>>> >
> >>>>>>>>> > +1
> >>>>>>>>> > I was able to run the python 3.8 quickstart from wheels on
> DirectRunner.
> >>>>>>>>> > I verified hashes for Python files.
> >>>>>>>>> > -P.
> >>>>>>>>> >
> >>>>>>>>> > On Fri, Jul 10, 2020 at 4:34 PM Ahmet Altay <[email protected]>
> wrote:
> >>>>>>>>> >>
> >>>>>>>>> >> I validated the python 3 quickstarts. I had issues with
> running with python 3.8 wheel files, but did not have issues with source
> distributions, or other python wheel files. I have not tested python 2
> quickstarts.
> >>>>>>>>
> >>>>>>>>
> >>>>>>>> Did someone validate python 3.8 wheels on Dataflow? I was not
> able to run that.
> >>>>>>>>
> >>>>>>>>>
> >>>>>>>>> >>
> >>>>>>>>> >> On Thu, Jul 9, 2020 at 10:53 PM Valentyn Tymofieiev <
> [email protected]> wrote:
> >>>>>>>>> >>>
> >>>>>>>>> >>> Hi everyone,
> >>>>>>>>> >>>
> >>>>>>>>> >>> Please review and vote on the release candidate #1 for the
> version 2.23.0, 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:
> >>>>>>>>> >>> * JIRA release notes [1],
> >>>>>>>>> >>> * the official Apache source release to be deployed to
> dist.apache.org [2], which is signed with the key with fingerprint
> 1DF50603225D29A4 [3],
> >>>>>>>>> >>> * all artifacts to be deployed to the Maven Central
> Repository [4],
> >>>>>>>>> >>> * source code tag "v2.23.0-RС1" [5],
> >>>>>>>>> >>> * website pull request listing the release [6], publishing
> the API reference manual [7], and the blog post [8].
> >>>>>>>>> >>> * Java artifacts were built with Maven 3.6.0 and Oracle JDK
> 1.8.0_201-b09 .
> >>>>>>>>> >>> * Python artifacts are deployed along with the source
> release to the dist.apache.org [2].
> >>>>>>>>> >>> * Validation sheet with a tab for 2.23.0 release to help
> with validation [9].
> >>>>>>>>> >>> * Docker images published to Docker Hub [10].
> >>>>>>>>> >>>
> >>>>>>>>> >>> 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://jira.apache.org/jira/secure/ReleaseNote.jspa?projectId=12319527&version=12347145
> >>>>>>>>> >>> [2] https://dist.apache.org/repos/dist/dev/beam/2.23.0/
> >>>>>>>>> >>> [3] https://dist.apache.org/repos/dist/release/beam/KEYS
> >>>>>>>>> >>> [4]
> https://repository.apache.org/content/repositories/orgapachebeam-1105/
> >>>>>>>>> >>> [5] https://github.com/apache/beam/tree/v2.23.0-RC1
> >>>>>>>>> >>> [6] https://github.com/apache/beam/pull/12212
> >>>>>>>>> >>> [7] https://github.com/apache/beam-site/pull/605
> >>>>>>>>> >>> [8] https://github.com/apache/beam/pull/12213
> >>>>>>>>> >>> [9]
> https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=596347973
> >>>>>>>>> >>> [10]
> https://hub.docker.com/search?q=apache%2Fbeam&type=image
>

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