+1

Turns out we broke DOUBLE on purpose. Updated the demo to use DECIMAL and
it doesn't hard fail. This is a docs bug.

On Wed, Dec 12, 2018 at 3:55 PM Scott Wegner <sc...@apache.org> wrote:

> +1
>
> I verified the Java examples succeed on DirectRunner.
>
> On Wed, Dec 12, 2018 at 3:30 PM Chamikara Jayalath <chamik...@google.com>
> wrote:
>
>> Thanks Andrew. Please make this a blocker and -1 the thread if you think
>> we need a new RC.
>>
>> - Cham
>>
>> On Wed, Dec 12, 2018 at 3:27 PM Andrew Pilloud <apill...@google.com>
>> wrote:
>>
>>> I was just running the Beam SQL demo. I found one query fails with "the
>>> keyCoder of a GroupByKey must be deterministic" and another just hangs. I
>>> opened an issue: https://issues.apache.org/jira/browse/BEAM-6224 Not
>>> sure if this calls for canceling the release or just a release note (SQL is
>>> still experimental). I'm continuing to track down the root cause, but am
>>> tied up with the Beam Meetup in SFO today.
>>>
>>> Andrew
>>>
>>> On Tue, Dec 11, 2018 at 3:32 PM Ruoyun Huang <ruo...@google.com> wrote:
>>>
>>>> +1,  Looking forward to the release!
>>>>
>>>> On Tue, Dec 11, 2018 at 11:09 AM Chamikara Jayalath <
>>>> chamik...@google.com> wrote:
>>>>
>>>>> Hi All,
>>>>>
>>>>> I ran Beam RC verification script [1] and updated the validation
>>>>> spreadsheet [2]. I think the current release candidate looks good.
>>>>>
>>>>> So +1 for the release.
>>>>>
>>>>> Thanks,
>>>>> Cham
>>>>>
>>>>> [1]
>>>>> https://github.com/apache/beam/blob/master/release/src/main/scripts/run_rc_validation.sh
>>>>> [2]
>>>>> https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=2053422529
>>>>>
>>>>> On Fri, Dec 7, 2018 at 7:19 AM Ismaël Mejía <ieme...@gmail.com> wrote:
>>>>>
>>>>>> Looking at the dates on the Spark runner git log there was a PR
>>>>>> merged to change Spark translation from classes to URNs. I cannot see how
>>>>>> this can impact performance. Looking at the other queries in the
>>>>>> dashboards, there seems to be a great variability in the executions of 
>>>>>> the
>>>>>> Spark runner to the point of feeling we don't have guarantees anymore. I
>>>>>> wonder if this was because of other loads shared in the server(s), or
>>>>>> because our sample is too small for the standard deviation.
>>>>>>
>>>>>> I would proceed with the release, the real question is if we can
>>>>>> somehow constraint the execution of this tests to have a more consistent
>>>>>> output.
>>>>>>
>>>>>>
>>>>>> On Fri, Dec 7, 2018 at 4:10 PM Etienne Chauchot <echauc...@apache.org>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi all,
>>>>>>> Regarding query7 in spark:
>>>>>>> - there doesn't seem to be a functional regression: query passes and
>>>>>>> output size is still the same
>>>>>>>
>>>>>>> - Also the performance degradation seems to be only on spark, the
>>>>>>> other runners do not seem to suffer from it.
>>>>>>>
>>>>>>> - performance degradation seems to be constant from 11/12 so we can
>>>>>>> eliminate temporary load on the jenkins server that would generate 
>>>>>>> delays
>>>>>>> in Max transform.
>>>>>>>
>>>>>>> => query7 uses Max transform, fanout and side inputs, has one of
>>>>>>> these parts recently (11/12/18) changed in spark?
>>>>>>>
>>>>>>> Etienne
>>>>>>>
>>>>>>> Le jeudi 06 décembre 2018 à 21:32 -0800, Chamikara Jayalath a écrit :
>>>>>>>
>>>>>>> Udi or anybody else who is familiar about Nexmark,  please -1 the
>>>>>>> vote thread if you think this particular performance regression for
>>>>>>> Spark/Direct runners is a blocker. Otherwise I think we can continue the
>>>>>>> vote.
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Cham
>>>>>>>
>>>>>>> On Thu, Dec 6, 2018 at 6:19 PM Chamikara Jayalath <
>>>>>>> chamik...@google.com> wrote:
>>>>>>>
>>>>>>> Are either of these regressions due to known issues ? If not should
>>>>>>> they be considered release blockers ?
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Cham
>>>>>>>
>>>>>>> On Thu, Dec 6, 2018 at 6:11 PM Udi Meiri <eh...@google.com> wrote:
>>>>>>>
>>>>>>> For DirectRunner there are regressions in query 7 sql direct runner
>>>>>>> batch mode
>>>>>>> <https://apache-beam-testing.appspot.com/explore?dashboard=5084698770407424&widget=732741424&container=411089194>
>>>>>>>  (2x)
>>>>>>> and streaming mode (5x).
>>>>>>>
>>>>>>>
>>>>>>> On Thu, Dec 6, 2018 at 5:59 PM Udi Meiri <eh...@google.com> wrote:
>>>>>>>
>>>>>>> I see a regression for query 7 spark runner batch mode
>>>>>>> <https://apache-beam-testing.appspot.com/explore?dashboard=5138380291571712&widget=1782465104&container=462502368>
>>>>>>>  on
>>>>>>> about 2018-11-13.
>>>>>>> [image: image.png]
>>>>>>>
>>>>>>> On Thu, Dec 6, 2018 at 2:46 AM Chamikara Jayalath <
>>>>>>> chamik...@google.com> wrote:
>>>>>>>
>>>>>>> Hi everyone,
>>>>>>>
>>>>>>> Please review and vote on the release candidate #1 for the version
>>>>>>> 2.9.0, 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
>>>>>>> EEAC70DF3D0BC23B [3],
>>>>>>> * all artifacts to be deployed to the Maven Central Repository [4],
>>>>>>> * source code tag "v2.9.0-RC1" [5],
>>>>>>> * website pull request listing the release [6] and publishing the
>>>>>>> API reference manual [7].
>>>>>>> * Python artifacts are deployed along with the source release to the
>>>>>>> dist.apache.org [2].
>>>>>>> * Validation sheet with a tab for 2.9.0 release to help with
>>>>>>> validation [7].
>>>>>>>
>>>>>>> The vote will be open for at least 72 hours. It is adopted by
>>>>>>> majority approval, with at least 3 PMC affirmative votes.
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Cham
>>>>>>>
>>>>>>> [1]
>>>>>>> https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12319527&version=12344258
>>>>>>> [2] https://dist.apache.org/repos/dist/dev/beam/2.9.0/
>>>>>>> [3] https://dist.apache.org/repos/dist/release/beam/KEYS
>>>>>>> [4]
>>>>>>> https://repository.apache.org/content/repositories/orgapachebeam-1054/
>>>>>>> [5] https://github.com/apache/beam/tree/v2.9.0-RC1
>>>>>>> [6] https://github.com/apache/beam/pull/7215
>>>>>>> [7] https://github.com/apache/beam-site/pull/584
>>>>>>> [8]
>>>>>>> https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=2053422529
>>>>>>>
>>>>>>>
>>>>
>>>> --
>>>> ================
>>>> Ruoyun  Huang
>>>>
>>>>
>
> --
>
>
>
>
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