FYI: looks like Python tests are failing for Windows. JIRA is
https://issues.apache.org/jira/browse/BEAM-4535.

I don't think this is a release blocker but this should probably go in
release notes (for any user that tries to run tests on Python source
build). And we should try to incorporate a fix if we happen to cut another
release candidate for some reason.

Thanks,
Cham

On Mon, Jun 11, 2018 at 5:46 PM Pablo Estrada <[email protected]> wrote:

> Thanks everyone who has pitched in to validate the release!
>
> Boyuan Zhang and I have also run a few pipelines, and verified that they
> work properly (see release validation spreadsheet[1]).
>
> We have also found that the Game Stats pipeline is failing in Python
> Streaming Dataflow. I have filed BEAM-4534[2]. This is not a blocker, since
> Python streaming is not yet fully supported.
>
> It seems that the uploaded artifacts look good.
>
> We have noticed that the Python artifacts are still missing Python wheel
> files (compare [3] and [4]). JB, could you please add the wheel files?
> Boyuan and I can try to help you prepare them / upload them if necessary.
> Please let us know.
>
> Thanks again!
> -P.
>
> [1]
> https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit#gid=152451807
> [2] https://issues.apache.org/jira/browse/BEAM-4534
> [3] https://dist.apache.org/repos/dist/dev/beam/2.4.0/
> [4] https://dist.apache.org/repos/dist/dev/beam/2.5.0/
>
> On Mon, Jun 11, 2018 at 12:37 PM Alan Myrvold <[email protected]> wrote:
>
>> +1 (non-binding)
>>
>> tested some of the quickstarts
>>
>> On Sun, Jun 10, 2018 at 1:39 AM Tim <[email protected]> wrote:
>>
>>> Tested by our team:
>>> - mvn inclusion
>>> - Avro, ES, Hadoop IF IO
>>> - Pipelines run on Spark (Cloudera 5.12.0 YARN cluster)
>>> - Reviewed release notes
>>>
>>> +1
>>>
>>> Thanks also to everyone who helped get over the gradle hurdle and in
>>> particular to JB.
>>>
>>> Tim
>>>
>>> > On 9 Jun 2018, at 05:56, Jean-Baptiste Onofré <[email protected]> wrote:
>>> >
>>> > No problem Pablo.
>>> >
>>> > The vote period is a minimum, it can be extended as requested or if we
>>> > don't have the minimum of 3 binding votes.
>>> >
>>> > Regards
>>> > JB
>>> >
>>> >> On 09/06/2018 01:54, Pablo Estrada wrote:
>>> >> Hello all,
>>> >> I'd like to request an extension of the voting period until Monday
>>> >> evening (US time, so later in other geographical regions). This is
>>> >> because we were only now able to publish Dataflow Workers, and have
>>> not
>>> >> had the chance to run release validation tests on them. The extension
>>> >> will allow us to validate and vote by Monday.
>>> >> Is this acceptable to the community?
>>> >>
>>> >> Best
>>> >> -P.
>>> >>
>>> >> On Fri, Jun 8, 2018 at 6:20 AM Alexey Romanenko
>>> >> <[email protected] <mailto:[email protected]>> wrote:
>>> >>
>>> >>    Thank you JB for your work!
>>> >>
>>> >>    I tested running simple streaming (/KafkaIO/) and batch (/TextIO /
>>> >>    HDFS/) pipelines with SparkRunner on YARN cluster - it works fine.
>>> >>
>>> >>    WBR,
>>> >>    Alexey
>>> >>
>>> >>
>>> >>>    On 8 Jun 2018, at 10:00, Etienne Chauchot <[email protected]
>>> >>>    <mailto:[email protected]>> wrote:
>>> >>>
>>> >>>    I forgot to vote:
>>> >>>    +1 (non binding).
>>> >>>    What I tested:
>>> >>>    - no functional or performance regression comparing to v2.4
>>> >>>    - dependencies in the poms are ok
>>> >>>
>>> >>>    Etienne
>>> >>>>    Le vendredi 08 juin 2018 à 08:27 +0200, Romain Manni-Bucau a
>>> écrit :
>>> >>>>    +1 (non-binding), mainstream usage is not broken by the pom
>>> >>>>    changes and runtime has no known regression compared to the 2.4.0
>>> >>>>
>>> >>>>    (side note: kudo to JB for this build tool change release, I know
>>> >>>>    how it can hurt ;))
>>> >>>>
>>> >>>>    Romain Manni-Bucau
>>> >>>>    @rmannibucau <https://twitter.com/rmannibucau> |  Blog
>>> >>>>    <https://rmannibucau.metawerx.net/> | Old Blog
>>> >>>>    <http://rmannibucau.wordpress.com/> | Github
>>> >>>>    <https://github.com/rmannibucau> | LinkedIn
>>> >>>>    <https://www.linkedin.com/in/rmannibucau> | Book
>>> >>>>    <
>>> https://www.packtpub.com/application-development/java-ee-8-high-performance
>>> >
>>> >>>>
>>> >>>>
>>> >>>>    Le jeu. 7 juin 2018 à 16:17, Jean-Baptiste Onofré
>>> >>>>    <[email protected] <mailto:[email protected]>> a écrit :
>>> >>>>>    Thanks for the details Etienne !
>>> >>>>>
>>> >>>>>    The good news is that the artifacts seem OK and the overall
>>> Nexmark
>>> >>>>>    results are consistent with the 2.4.0 release ones.
>>> >>>>>
>>> >>>>>    I'm starting a complete review using the beam-samples as well.
>>> >>>>>
>>> >>>>>    Regards
>>> >>>>>    JB
>>> >>>>>
>>> >>>>>>    On 07/06/2018 16:14, Etienne Chauchot wrote:
>>> >>>>>> Hi,
>>> >>>>>> I've just run the nexmark queries on v2.5.0-RC1 tag
>>> >>>>>> What we can notice:
>>> >>>>>> - query 3 (exercises CoGroupByKey, state and timer) shows
>>> >>>>>    different
>>> >>>>>> output with DR between batch and streaming and with the other
>>> >>>>>    runners =>
>>> >>>>>> I compared with v2.4 there were still these differences but with
>>> >>>>>> different output size numbers
>>> >>>>>>
>>> >>>>>> - query 6 (exercises specialized combiner) shows different output
>>> >>>>>> between the runners => the correct output is 401. strange that
>>> >>>>>    in batch
>>> >>>>>> mode some runners output les Sellers. I compared with v2.4
>>> >>>>>    same output
>>> >>>>>>
>>> >>>>>> - response time of query 7 (exercices Max transform, fanout
>>> >>>>>    and side
>>> >>>>>> input) is very slow on DR => I compared with v2.4 , comparable
>>> >>>>>    execution
>>> >>>>>> times
>>> >>>>>>
>>> >>>>>> I'm not comparing q10 because it is a write to GCS so it is
>>> >>>>>    very specific.
>>> >>>>>>
>>> >>>>>> => Basically no regression comparing to v2.4
>>> >>>>>>
>>> >>>>>> For the record here is the output (waiting for ongoing perfkit
>>> >>>>>    integration):
>>> >>>>>>
>>> >>>>>>
>>> >>>>>> 1. DR batch
>>> >>>>>>
>>> >>>>>> Performance:
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    Conf  Runtime(sec)    (Baseline)  Events(/sec)    (Baseline)
>>>    Results    (Baseline)
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0000           5,8                     17283,1
>>>     100000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0001           3,2                     31104,2
>>>      92000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0002           1,2                     82918,7
>>>        351
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0003           2,2                     46210,7
>>>        458
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0004           1,2                      8503,4
>>>         40
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0005           4,0                     25220,7
>>>         12
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0006           0,9                     11148,3
>>>        401
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0007          13,2                      7580,9
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0008           1,5                     67340,1
>>>       6000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0009           0,7                     14025,2
>>>        298
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0010          12,8                      7793,0
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0011           2,4                     42319,1
>>>       1919
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0012           1,6                     61462,8
>>>       1919
>>> >>>>>>
>>> >>>>>
>>> ==========================================================================================
>>> >>>>>>
>>> >>>>>> 2. DR streaming
>>> >>>>>>
>>> >>>>>> Performance:
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    Conf  Runtime(sec)    (Baseline)  Events(/sec)    (Baseline)
>>>    Results    (Baseline)
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0000           6,5                     15285,8
>>>     100000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0001           3,7                     27397,3
>>>      92000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0002           1,4                     69108,5
>>>        351
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0003           3,2                     31181,8
>>>        447
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0004           1,2                      8361,2
>>>         40
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0005           5,3                     18903,6
>>>         12
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0006           0,9                     11111,1
>>>        401
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0007          82,5                      1212,2
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0008           2,0                     51072,5
>>>       6000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0009           0,8                     12903,2
>>>        298
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0010          49,5                      2021,8
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0011           3,9                     25667,4
>>>       1919
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0012           2,4                     41067,8
>>>       1919
>>> >>>>>>
>>> >>>>>
>>> ==========================================================================================
>>> >>>>>>
>>> >>>>>> 3. Flink batch
>>> >>>>>> Performance:
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    Conf  Runtime(sec)    (Baseline)  Events(/sec)    (Baseline)
>>>    Results    (Baseline)
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0000           1,0                     97656,3
>>>     100000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0001           0,7                    141643,1
>>>      92000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0002           0,4                    228310,5
>>>        351
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0003           1,6                     64020,5
>>>        580
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0004           0,7                     13831,3
>>>         40
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0005           1,4                     72939,5
>>>         12
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0006           0,5                     20491,8
>>>        103
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0007           1,3                     74239,0
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0008           0,8                    121506,7
>>>       6000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0009           0,6                     17953,3
>>>        298
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0010           1,3                     74682,6
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0011           1,1                     92936,8
>>>       1919
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0012           0,8                    123001,2
>>>       1919
>>> >>>>>>
>>> >>>>>
>>> ==========================================================================================
>>> >>>>>>
>>> >>>>>> 4. Flink streaming
>>> >>>>>> Performance:
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    Conf  Runtime(sec)    (Baseline)  Events(/sec)    (Baseline)
>>>    Results    (Baseline)
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0000           5,4                     18677,6
>>>     100000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0001           2,8                     35511,4
>>>      92000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0002           1,8                     54318,3
>>>        351
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0003           2,4                     41614,6
>>>        580
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0004           1,0                     10341,3
>>>         40
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0005           3,4                     29568,3
>>>         12
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0006           0,7                     13369,0
>>>        401
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0007           2,8                     36192,5
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0008           1,8                     54854,6
>>>       6000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0009           0,7                     13369,0
>>>        298
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0010           3,4                     29841,8
>>>          2
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0011           5,0                     19932,2
>>>       1919
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0012           2,6                     38835,0
>>>       1919
>>> >>>>>>
>>> >>>>>
>>> ==========================================================================================
>>> >>>>>>
>>> >>>>>> 5. Spark batch
>>> >>>>>> Performance:
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    Conf  Runtime(sec)    (Baseline)  Events(/sec)    (Baseline)
>>>    Results    (Baseline)
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0000           1,5                     65445,0
>>>     100000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0001           1,3                     79491,3
>>>      92000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0002           0,9                    112107,6
>>>        351
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0003           2,0                     48804,3
>>>        580
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0004           1,2                      8382,2
>>>         40
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0005           2,0                     50838,8
>>>         12
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0006           1,0                      9699,3
>>>        103
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0007           2,3                     43308,8
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0008           2,1                     46794,6
>>>       6000
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0009           1,1                      8976,7
>>>        298
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0010           1,6                     62111,8
>>>          1
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0011           2,1                     46598,3
>>>       1919
>>> >>>>>>
>>> >>>>>>
>>> >>>>>    0012           2,3                     43687,2
>>>       1919
>>> >>>>>>
>>> >>>>>
>>> ==========================================================================================
>>> >>>>>>
>>> >>>>>>> Le mercredi 06 juin 2018 à 10:50 +0200, Etienne Chauchot a écrit
>>> :
>>> >>>>>>> Thanks JB for all your work ! I believe doing the first
>>> >>>>>    gradle release
>>> >>>>>>> must have been hard.
>>> >>>>>>> I'll run Nexmark on the release and keep you posted.
>>> >>>>>>>
>>> >>>>>>> Best
>>> >>>>>>> Etienne
>>> >>>>>>>
>>> >>>>>>>
>>> >>>>>>> Le mercredi 06 juin 2018 à 10:44 +0200, Jean-Baptiste Onofré
>>> >>>>>    a écrit :
>>> >>>>>>>> Hi everyone,
>>> >>>>>>>>
>>> >>>>>>>> Please review and vote on the release candidate #1 for the
>>> >>>>>    version
>>> >>>>>>>> 2.5.0, as follows:
>>> >>>>>>>>
>>> >>>>>>>> [ ] +1, Approve the release
>>> >>>>>>>> [ ] -1, Do not approve the release (please provide specific
>>> >>>>>    comments)
>>> >>>>>>>>
>>> >>>>>>>> NB: this is the first release using Gradle, so don't be too
>>> >>>>>    harsh ;) A
>>> >>>>>>>> PR about the release guide will follow thanks to this release.
>>> >>>>>>>>
>>> >>>>>>>> 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 <http://dist.apache.org/>
>>> >>>>>>>> [2], which is signed with the key with fingerprint C8282E76 [3],
>>> >>>>>>>> * all artifacts to be deployed to the Maven Central
>>> >>>>>    Repository [4],
>>> >>>>>>>> * source code tag "v2.5.0-RC1" [5],
>>> >>>>>>>> * website pull request listing the release and publishing
>>> >>>>>    the API
>>> >>>>>>>> reference manual [6].
>>> >>>>>>>> * Java artifacts were built with Gradle 4.7 (wrapper) and
>>> >>>>>    OpenJDK/Oracle
>>> >>>>>>>> JDK 1.8.0_172 (Oracle Corporation 25.172-b11).
>>> >>>>>>>> * Python artifacts are deployed along with the source
>>> >>>>>    release to the
>>> >>>>>>>> dist.apache.org <http://dist.apache.org/> [2].
>>> >>>>>>>>
>>> >>>>>>>> The vote will be open for at least 72 hours. It is adopted
>>> >>>>>    by majority
>>> >>>>>>>> approval, with at least 3 PMC affirmative votes.
>>> >>>>>>>>
>>> >>>>>>>> Thanks,
>>> >>>>>>>> JB
>>> >>>>>>>>
>>> >>>>>>>> [1]
>>> >>>>>>>>
>>> >>>>>
>>> https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12319527&version=12342847
>>> >>>>>>>> [2] https://dist.apache.org/repos/dist/dev/beam/2.5.0/
>>> >>>>>>>> [3] https://dist.apache.org/repos/dist/release/beam/KEYS
>>> >>>>>>>> [4]
>>> >>>>>
>>> https://repository.apache.org/content/repositories/orgapachebeam-1041/
>>> >>>>>>>> [5] https://github.com/apache/beam/tree/v2.5.0-RC1
>>> >>>>>>>> [6] https://github.com/apache/beam-site/pull/463
>>> >>>>>>>>
>>> >>>>>
>>> >>
>>> >> --
>>> >> Got feedback? go/pabloem-feedback
>>> <https://goto.google.com/pabloem-feedback>
>>> >
>>> > --
>>> > Jean-Baptiste Onofré
>>> > [email protected]
>>> > http://blog.nanthrax.net
>>> > Talend - http://www.talend.com
>>>
>> --
> Got feedback? go/pabloem-feedback
> <https://goto.google.com/pabloem-feedback>
>

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