+1 (non-binding)

Bumping our build to 2.3.2 rc6 and Avro to 1.8.2 and Parquet to 1.8.3 works
for us, running on version 2.3.2 rc6 and older Spark versions.

https://github.com/bigdatagenomics/adam/pull/2055

   michael


On Thu, Sep 20, 2018 at 7:09 PM, Ryan Blue <rb...@netflix.com.invalid>
wrote:

> Changing my vote to +1 with this fixed.
>
> Here's what was going on -- and thanks to Owen O'Malley for debugging:
>
> The problem was that Iceberg contained a fix for a JVM bug for timestamps
> before the unix epoch where the timestamp was off by 1s. Owen moved this
> code into ORC as well and using the new version of Spark pulled in the
> newer version of ORC. That meant that the values were "fixed" twice and
> were wrong.
>
> Updating the Iceberg code to rely on the fix in the version of ORC that
> Spark includes fixes the problem.
>
> On Thu, Sep 20, 2018 at 2:38 PM Dongjoon Hyun <dongjoon.h...@gmail.com>
> wrote:
>
>> Hi, Ryan.
>>
>> Could you share the result on 2.3.1 since this is 2.3.2 RC? That would be
>> helpful to narrow down the scope.
>>
>> Bests,
>> Dongjoon.
>>
>> On Thu, Sep 20, 2018 at 11:56 Ryan Blue <rb...@netflix.com.invalid>
>> wrote:
>>
>>> -0
>>>
>>> My DataSourceV2 implementation for Iceberg is failing ORC tests when I
>>> run with the 2.3.2 RC that pass when I run with 2.3.0. I'm tracking down
>>> the cause and will report back, but I'm -0 on the release because there may
>>> be a behavior change.
>>>
>>> On Thu, Sep 20, 2018 at 10:37 AM Denny Lee <denny.g....@gmail.com>
>>> wrote:
>>>
>>>> +1
>>>>
>>>> On Thu, Sep 20, 2018 at 9:55 AM Xiao Li <gatorsm...@gmail.com> wrote:
>>>>
>>>>> +1
>>>>>
>>>>>
>>>>> John Zhuge <john.zh...@gmail.com> 于2018年9月19日周三 下午1:17写道:
>>>>>
>>>>>> +1 (non-binding)
>>>>>>
>>>>>> Built on Ubuntu 16.04 with Maven flags: -Phadoop-2.7 -Pmesos -Pyarn
>>>>>> -Phive-thriftserver -Psparkr -Pkinesis-asl -Phadoop-provided
>>>>>>
>>>>>> java version "1.8.0_181"
>>>>>> Java(TM) SE Runtime Environment (build 1.8.0_181-b13)
>>>>>> Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode)
>>>>>>
>>>>>>
>>>>>> On Wed, Sep 19, 2018 at 2:31 AM Takeshi Yamamuro <
>>>>>> linguin....@gmail.com> wrote:
>>>>>>
>>>>>>> +1
>>>>>>>
>>>>>>> I also checked `-Pyarn -Phadoop-2.7 -Pkinesis-asl -Phive
>>>>>>> -Phive-thriftserve` on the openjdk below/macOSv10.12.6
>>>>>>>
>>>>>>> $ java -version
>>>>>>> java version "1.8.0_181"
>>>>>>> Java(TM) SE Runtime Environment (build 1.8.0_181-b13)
>>>>>>> Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode)
>>>>>>>
>>>>>>>
>>>>>>> On Wed, Sep 19, 2018 at 10:45 AM Dongjoon Hyun <
>>>>>>> dongjoon.h...@gmail.com> wrote:
>>>>>>>
>>>>>>>> +1.
>>>>>>>>
>>>>>>>> I tested with `-Pyarn -Phadoop-2.7 -Pkinesis-asl -Phive
>>>>>>>> -Phive-thriftserve` on OpenJDK(1.8.0_181)/CentOS 7.5.
>>>>>>>>
>>>>>>>> I hit the following test case failure once during testing, but it's
>>>>>>>> not persistent.
>>>>>>>>
>>>>>>>>     KafkaContinuousSourceSuite
>>>>>>>>     ...
>>>>>>>>     subscribing topic by name from earliest offsets
>>>>>>>> (failOnDataLoss: false) *** FAILED ***
>>>>>>>>
>>>>>>>> Thank you, Saisai.
>>>>>>>>
>>>>>>>> Bests,
>>>>>>>> Dongjoon.
>>>>>>>>
>>>>>>>> On Mon, Sep 17, 2018 at 6:48 PM Saisai Shao <sai.sai.s...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> +1 from my own side.
>>>>>>>>>
>>>>>>>>> Thanks
>>>>>>>>> Saisai
>>>>>>>>>
>>>>>>>>> Wenchen Fan <cloud0...@gmail.com> 于2018年9月18日周二 上午9:34写道:
>>>>>>>>>
>>>>>>>>>> +1. All the blocker issues are all resolved in 2.3.2 AFAIK.
>>>>>>>>>>
>>>>>>>>>> On Tue, Sep 18, 2018 at 9:23 AM Sean Owen <sro...@apache.org>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> +1 . Licenses and sigs check out as in previous 2.3.x releases. A
>>>>>>>>>>> build from source with most profiles passed for me.
>>>>>>>>>>> On Mon, Sep 17, 2018 at 8:17 AM Saisai Shao <
>>>>>>>>>>> sai.sai.s...@gmail.com> wrote:
>>>>>>>>>>> >
>>>>>>>>>>> > Please vote on releasing the following candidate as Apache
>>>>>>>>>>> Spark version 2.3.2.
>>>>>>>>>>> >
>>>>>>>>>>> > The vote is open until September 21 PST and passes if a
>>>>>>>>>>> majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
>>>>>>>>>>> >
>>>>>>>>>>> > [ ] +1 Release this package as Apache Spark 2.3.2
>>>>>>>>>>> > [ ] -1 Do not release this package because ...
>>>>>>>>>>> >
>>>>>>>>>>> > To learn more about Apache Spark, please see
>>>>>>>>>>> http://spark.apache.org/
>>>>>>>>>>> >
>>>>>>>>>>> > The tag to be voted on is v2.3.2-rc6 (commit
>>>>>>>>>>> 02b510728c31b70e6035ad541bfcdc2b59dcd79a):
>>>>>>>>>>> > https://github.com/apache/spark/tree/v2.3.2-rc6
>>>>>>>>>>> >
>>>>>>>>>>> > The release files, including signatures, digests, etc. can be
>>>>>>>>>>> found at:
>>>>>>>>>>> > https://dist.apache.org/repos/dist/dev/spark/v2.3.2-rc6-bin/
>>>>>>>>>>> >
>>>>>>>>>>> > Signatures used for Spark RCs can be found in this file:
>>>>>>>>>>> > https://dist.apache.org/repos/dist/dev/spark/KEYS
>>>>>>>>>>> >
>>>>>>>>>>> > The staging repository for this release can be found at:
>>>>>>>>>>> > https://repository.apache.org/content/repositories/
>>>>>>>>>>> orgapachespark-1286/
>>>>>>>>>>> >
>>>>>>>>>>> > The documentation corresponding to this release can be found
>>>>>>>>>>> at:
>>>>>>>>>>> > https://dist.apache.org/repos/dist/dev/spark/v2.3.2-rc6-docs/
>>>>>>>>>>> >
>>>>>>>>>>> > The list of bug fixes going into 2.3.2 can be found at the
>>>>>>>>>>> following URL:
>>>>>>>>>>> > https://issues.apache.org/jira/projects/SPARK/versions/
>>>>>>>>>>> 12343289
>>>>>>>>>>> >
>>>>>>>>>>> >
>>>>>>>>>>> > FAQ
>>>>>>>>>>> >
>>>>>>>>>>> > =========================
>>>>>>>>>>> > How can I help test this release?
>>>>>>>>>>> > =========================
>>>>>>>>>>> >
>>>>>>>>>>> > If you are a Spark user, you can help us test this release by
>>>>>>>>>>> taking
>>>>>>>>>>> > an existing Spark workload and running on this release
>>>>>>>>>>> candidate, then
>>>>>>>>>>> > reporting any regressions.
>>>>>>>>>>> >
>>>>>>>>>>> > If you're working in PySpark you can set up a virtual env and
>>>>>>>>>>> install
>>>>>>>>>>> > the current RC and see if anything important breaks, in the
>>>>>>>>>>> Java/Scala
>>>>>>>>>>> > you can add the staging repository to your projects resolvers
>>>>>>>>>>> and test
>>>>>>>>>>> > with the RC (make sure to clean up the artifact cache
>>>>>>>>>>> before/after so
>>>>>>>>>>> > you don't end up building with a out of date RC going forward).
>>>>>>>>>>> >
>>>>>>>>>>> > ===========================================
>>>>>>>>>>> > What should happen to JIRA tickets still targeting 2.3.2?
>>>>>>>>>>> > ===========================================
>>>>>>>>>>> >
>>>>>>>>>>> > The current list of open tickets targeted at 2.3.2 can be
>>>>>>>>>>> found at:
>>>>>>>>>>> > https://issues.apache.org/jira/projects/SPARK and search for
>>>>>>>>>>> "Target Version/s" = 2.3.2
>>>>>>>>>>> >
>>>>>>>>>>> > Committers should look at those and triage. Extremely
>>>>>>>>>>> important bug
>>>>>>>>>>> > fixes, documentation, and API tweaks that impact compatibility
>>>>>>>>>>> should
>>>>>>>>>>> > be worked on immediately. Everything else please retarget to an
>>>>>>>>>>> > appropriate release.
>>>>>>>>>>> >
>>>>>>>>>>> > ==================
>>>>>>>>>>> > But my bug isn't fixed?
>>>>>>>>>>> > ==================
>>>>>>>>>>> >
>>>>>>>>>>> > In order to make timely releases, we will typically not hold
>>>>>>>>>>> the
>>>>>>>>>>> > release unless the bug in question is a regression from the
>>>>>>>>>>> previous
>>>>>>>>>>> > release. That being said, if there is something which is a
>>>>>>>>>>> regression
>>>>>>>>>>> > that has not been correctly targeted please ping me or a
>>>>>>>>>>> committer to
>>>>>>>>>>> > help target the issue.
>>>>>>>>>>>
>>>>>>>>>>> ------------------------------------------------------------
>>>>>>>>>>> ---------
>>>>>>>>>>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> ---
>>>>>>> Takeshi Yamamuro
>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> John
>>>>>>
>>>>>
>>>
>>> --
>>> Ryan Blue
>>> Software Engineer
>>> Netflix
>>>
>>
>
> --
> Ryan Blue
> Software Engineer
> Netflix
>

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