+1 (non-binding)

On Fri, Feb 23, 2018 at 07:08 Josh Goldsborough <
joshgoldsboroughs...@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 <samee...@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/orgapachespark-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 building with a out of date RC going forward).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).
>>
>
>

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