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From Dongjoon Hyun <dongjoon.h...@gmail.com>
Subject Re: [VOTE] Spark 2.3.0 (RC5)
Date Mon, 26 Feb 2018 17:33:09 GMT
+1 (non-binding).

Bests,
Dongjoon.


On Mon, Feb 26, 2018 at 9:14 AM, Ryan Blue <rblue@netflix.com.invalid>
wrote:

> +1 (non-binding)
>
> On Sat, Feb 24, 2018 at 4:17 PM, Xiao Li <gatorsmile@gmail.com> wrote:
>
>> +1 (binding) in Spark SQL, Core and PySpark.
>>
>> Xiao
>>
>> 2018-02-24 14:49 GMT-08:00 Ricardo Almeida <ricardo.almeida@actnowib.com>
>> :
>>
>>> +1 (non-binding)
>>>
>>> same as previous RC
>>>
>>> On 24 February 2018 at 11:10, Hyukjin Kwon <gurwls223@gmail.com> wrote:
>>>
>>>> +1
>>>>
>>>> 2018-02-24 16:57 GMT+09:00 Bryan Cutler <cutlerb@gmail.com>:
>>>>
>>>>> +1
>>>>> Tests passed and additionally ran Arrow related tests and did some
>>>>> perf checks with python 2.7.14
>>>>>
>>>>> On Fri, Feb 23, 2018 at 6:18 PM, Holden Karau <holden@pigscanfly.ca>
>>>>> wrote:
>>>>>
>>>>>> Note: given the state of Jenkins I'd love to see Bryan Cutler or
>>>>>> someone with Arrow experience sign off on this release.
>>>>>>
>>>>>> On Fri, Feb 23, 2018 at 6:13 PM, Cheng Lian <lian.cs.zju@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> +1 (binding)
>>>>>>>
>>>>>>> Passed all the tests, looks good.
>>>>>>>
>>>>>>> Cheng
>>>>>>>
>>>>>>> On 2/23/18 15:00, Holden Karau wrote:
>>>>>>>
>>>>>>> +1 (binding)
>>>>>>> PySpark artifacts install in a fresh Py3 virtual env
>>>>>>>
>>>>>>> On Feb 23, 2018 7:55 AM, "Denny Lee" <denny.g.lee@gmail.com>
wrote:
>>>>>>>
>>>>>>>> +1 (non-binding)
>>>>>>>>
>>>>>>>> On Fri, Feb 23, 2018 at 07:08 Josh Goldsborough <
>>>>>>>> joshgoldsboroughster@gmail.com> wrote:
>>>>>>>>
>>>>>>>>> New to testing out Spark RCs for the community but I
was able to
>>>>>>>>> run some of the basic unit tests without error so for
what it's worth, I'm
>>>>>>>>> a +1.
>>>>>>>>>
>>>>>>>>> On Thu, Feb 22, 2018 at 4:23 PM, Sameer Agarwal <
>>>>>>>>> sameerag@apache.org> wrote:
>>>>>>>>>
>>>>>>>>>> Please vote on releasing the following candidate
as Apache Spark
>>>>>>>>>> version 2.3.0. The vote is open until Tuesday February
27, 2018 at 8:00:00
>>>>>>>>>> am UTC and passes if a majority of at least 3 PMC
+1 votes are cast.
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> [ ] +1 Release this package as Apache Spark 2.3.0
>>>>>>>>>>
>>>>>>>>>> [ ] -1 Do not release this package because ...
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> To learn more about Apache Spark, please see
>>>>>>>>>> https://spark.apache.org/
>>>>>>>>>>
>>>>>>>>>> The tag to be voted on is v2.3.0-rc5:
>>>>>>>>>> https://github.com/apache/spark/tree/v2.3.0-rc5
>>>>>>>>>> (992447fb30ee9ebb3cf794f2d06f4d63a2d792db)
>>>>>>>>>>
>>>>>>>>>> List of JIRA tickets resolved in this release can
be found here:
>>>>>>>>>> https://issues.apache.org/jira/projects/SPARK/versions/12339551
>>>>>>>>>>
>>>>>>>>>> The release files, including signatures, digests,
etc. can be
>>>>>>>>>> found at:
>>>>>>>>>> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc5-bin/
>>>>>>>>>>
>>>>>>>>>> Release artifacts are signed with the following key:
>>>>>>>>>> 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/orgapache
>>>>>>>>>> spark-1266/
>>>>>>>>>>
>>>>>>>>>> The documentation corresponding to this release can
be found at:
>>>>>>>>>> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc5-docs
>>>>>>>>>> /_site/index.html
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> FAQ
>>>>>>>>>>
>>>>>>>>>> =======================================
>>>>>>>>>> What are the unresolved issues targeted for 2.3.0?
>>>>>>>>>> =======================================
>>>>>>>>>>
>>>>>>>>>> Please see https://s.apache.org/oXKi. At the time
of writing,
>>>>>>>>>> there are currently no known release blockers.
>>>>>>>>>>
>>>>>>>>>> =========================
>>>>>>>>>> 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
2.3.0?
>>>>>>>>>> ===========================================
>>>>>>>>>>
>>>>>>>>>> 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 2.3.1 or 2.4.0
>>>>>>>>>> as appropriate.
>>>>>>>>>>
>>>>>>>>>> ===================
>>>>>>>>>> Why is my bug not fixed?
>>>>>>>>>> ===================
>>>>>>>>>>
>>>>>>>>>> In order to make timely releases, we will typically
not hold the
>>>>>>>>>> release unless the bug in question is a regression
from 2.2.0. That being
>>>>>>>>>> said, if there is something which is a regression
from 2.2.0 and has not
>>>>>>>>>> been correctly targeted please ping me or a committer
to help target the
>>>>>>>>>> issue (you can see the open issues listed as impacting
Spark 2.3.0 at
>>>>>>>>>> https://s.apache.org/WmoI).
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> Twitter: https://twitter.com/holdenkarau
>>>>>>
>>>>>
>>>>>
>>>>
>>>
>>
>
>
> --
> Ryan Blue
> Software Engineer
> Netflix
>

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