+1 (non-binding)

Built and tested on macOS and Ubuntu.


On Sun, Feb 18, 2018 at 3:19 PM Ricardo Almeida <
ricardo.alme...@actnowib.com> wrote:

> +1 (non-binding)
>
> Built and tested on macOS 10.12.6 Java 8 (build 1.8.0_111). No
> regressions detected so far.
>
>
> On 18 February 2018 at 16:12, Sean Owen <sro...@apache.org> wrote:
>
>> +1 from me as last time, same outcome.
>>
>> I saw one test fail, but passed on a second run, so just seems flaky.
>>
>> - subscribing topic by name from latest offsets (failOnDataLoss: true)
>> *** FAILED ***
>>   Error while stopping stream:
>>   query.exception() is not empty after clean stop:
>> org.apache.spark.sql.streaming.StreamingQueryException: Writing job failed.
>>   === Streaming Query ===
>>   Identifier: [id = cdd647ec-d7f0-437b-9950-ce9d79d691d1, runId =
>> 3a7cf7ec-670a-48b6-8185-8b6cd7e27f96]
>>   Current Committed Offsets: {KafkaSource[Subscribe[topic-4]]:
>> {"topic-4":{"2":1,"4":1,"1":0,"3":0,"0":2}}}
>>   Current Available Offsets: {}
>>
>>   Current State: TERMINATED
>>   Thread State: RUNNABLE
>>
>> On Sat, Feb 17, 2018 at 3:41 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 Thursday February 22, 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-rc4:
>>> https://github.com/apache/spark/tree/v2.3.0-rc4
>>> (44095cb65500739695b0324c177c19dfa1471472)
>>>
>>> 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-rc4-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-1265/
>>>
>>> The documentation corresponding to this release can be found at:
>>>
>>> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc4-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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