Xiao If it doesn't apply/you've changed your mind if you can re-vote that
would be rad.

On Fri, Sep 15, 2017 at 2:22 PM, Felix Cheung <felixcheun...@hotmail.com>
wrote:

> Yes ;)
>
> ------------------------------
> *From:* Xiao Li <gatorsm...@gmail.com>
> *Sent:* Friday, September 15, 2017 2:22:03 PM
> *To:* Holden Karau
> *Cc:* Ryan Blue; Denny Lee; Felix Cheung; Sean Owen; dev@spark.apache.org
>
> *Subject:* Re: [VOTE] Spark 2.1.2 (RC1)
>
> Sorry, this release candidate is 2.1.2. The issue is in 2.2.1.
>
> 2017-09-15 14:21 GMT-07:00 Xiao Li <gatorsm...@gmail.com>:
>
>> -1
>>
>> See the discussion in https://github.com/apache/spark/pull/19074
>>
>> Xiao
>>
>>
>>
>> 2017-09-15 12:28 GMT-07:00 Holden Karau <hol...@pigscanfly.ca>:
>>
>>> That's a good question, I built the release candidate however the
>>> Jenkins scripts don't take a parameter for configuring who signs them
>>> rather it always signs them with Patrick's key. You can see this from
>>> previous releases which were managed by other folks but still signed by
>>> Patrick.
>>>
>>> On Fri, Sep 15, 2017 at 12:16 PM, Ryan Blue <rb...@netflix.com> wrote:
>>>
>>>> The signature is valid, but why was the release signed with Patrick
>>>> Wendell's private key? Did Patrick build the release candidate?
>>>>
>>>> rb
>>>>
>>>> On Fri, Sep 15, 2017 at 6:36 AM, Denny Lee <denny.g....@gmail.com>
>>>> wrote:
>>>>
>>>>> +1 (non-binding)
>>>>>
>>>>> On Thu, Sep 14, 2017 at 10:57 PM Felix Cheung <
>>>>> felixcheun...@hotmail.com> wrote:
>>>>>
>>>>>> +1 tested SparkR package on Windows, r-hub, Ubuntu.
>>>>>>
>>>>>> _____________________________
>>>>>> From: Sean Owen <so...@cloudera.com>
>>>>>> Sent: Thursday, September 14, 2017 3:12 PM
>>>>>> Subject: Re: [VOTE] Spark 2.1.2 (RC1)
>>>>>> To: Holden Karau <hol...@pigscanfly.ca>, <dev@spark.apache.org>
>>>>>>
>>>>>>
>>>>>>
>>>>>> +1
>>>>>> Very nice. The sigs and hashes look fine, it builds fine for me on
>>>>>> Debian Stretch with Java 8, yarn/hive/hadoop-2.7 profiles, and passes
>>>>>> tests.
>>>>>>
>>>>>> Yes as you say, no outstanding issues except for this which doesn't
>>>>>> look critical, as it's not a regression.
>>>>>>
>>>>>> SPARK-21985 PySpark PairDeserializer is broken for double-zipped RDDs
>>>>>>
>>>>>>
>>>>>> On Thu, Sep 14, 2017 at 7:47 PM Holden Karau <hol...@pigscanfly.ca>
>>>>>> wrote:
>>>>>>
>>>>>>> Please vote on releasing the following candidate as Apache Spark
>>>>>>> version 2.1.2. The vote is open until Friday September 22nd at
>>>>>>> 18:00 PST and passes if a majority of at least 3 +1 PMC votes are
>>>>>>> cast.
>>>>>>>
>>>>>>> [ ] +1 Release this package as Apache Spark 2.1.2
>>>>>>> [ ] -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 v2.1.2-rc1
>>>>>>> <https://github.com/apache/spark/tree/v2.1.2-rc1> (6f470323a036365
>>>>>>> 6999dd36cb33f528afe627c12)
>>>>>>>
>>>>>>> List of JIRA tickets resolved in this release can be found with
>>>>>>> this filter.
>>>>>>> <https://issues.apache.org/jira/browse/SPARK-20134?jql=project%20%3D%20SPARK%20AND%20fixVersion%20%3D%202.1.2>
>>>>>>>
>>>>>>> The release files, including signatures, digests, etc. can be found
>>>>>>> at:
>>>>>>> https://home.apache.org/~pwendell/spark-releases/spark-2.1.2
>>>>>>> -rc1-bin/
>>>>>>>
>>>>>>> Release artifacts are signed with the following key:
>>>>>>> https://people.apache.org/keys/committer/pwendell.asc
>>>>>>>
>>>>>>> The staging repository for this release can be found at:
>>>>>>> https://repository.apache.org/content/repositories/orgapache
>>>>>>> spark-1248/
>>>>>>>
>>>>>>> The documentation corresponding to this release can be found at:
>>>>>>> https://people.apache.org/~pwendell/spark-releases/spark-2.1
>>>>>>> .2-rc1-docs/
>>>>>>>
>>>>>>>
>>>>>>> *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 2.1.2?*
>>>>>>>
>>>>>>> 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 2.1.3.
>>>>>>>
>>>>>>> *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 2.1.1. That 
>>>>>>> being
>>>>>>> said if there is something which is a regression form 2.1.1 that has not
>>>>>>> been correctly targeted please ping a committer to help target the issue
>>>>>>> (you can see the open issues listed as impacting Spark 2.1.1 & 2.1.2
>>>>>>> <https://issues.apache.org/jira/browse/SPARK-21985?jql=project%20%3D%20SPARK%20AND%20status%20%3D%20OPEN%20AND%20(affectedVersion%20%3D%202.1.2%20OR%20affectedVersion%20%3D%202.1.1)>
>>>>>>> )
>>>>>>>
>>>>>>> *What are the unresolved* issues targeted for 2.1.2
>>>>>>> <https://issues.apache.org/jira/browse/SPARK-21985?jql=project%20%3D%20SPARK%20AND%20status%20in%20(Open%2C%20%22In%20Progress%22%2C%20Reopened)%20AND%20%22Target%20Version%2Fs%22%20%3D%202.1.2>
>>>>>>> ?
>>>>>>>
>>>>>>> At the time of the writing, there is one in progress major issue
>>>>>>> SPARK-21985 <https://issues.apache.org/jira/browse/SPARK-21985>, I
>>>>>>> believe Andrew Ray & HyukjinKwon are looking into this one.
>>>>>>>
>>>>>>> --
>>>>>>> Twitter: https://twitter.com/holdenkarau
>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>
>>>>
>>>> --
>>>> Ryan Blue
>>>> Software Engineer
>>>> Netflix
>>>>
>>>
>>>
>>>
>>> --
>>> Twitter: https://twitter.com/holdenkarau
>>>
>>
>>
>


-- 
Twitter: https://twitter.com/holdenkarau

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