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From Sean Owen <sro...@apache.org>
Subject Re: [VOTE] Release Spark 3.1.1 (RC2)
Date Tue, 09 Feb 2021 05:38:44 GMT
Same result as last time for me, +1. Tested with Java 11.
I fixed the two issues without assignee; one was WontFix though.

On Mon, Feb 8, 2021 at 7:43 PM Hyukjin Kwon <gurwls223@gmail.com> wrote:

> Let's set the assignees properly then. Shouldn't be a problem for the
> release.
>
> On Tue, 9 Feb 2021, 10:40 Yuming Wang, <wgyumg@gmail.com> wrote:
>
>>
>> Many tickets do not have correct assignee:
>>
>> https://issues.apache.org/jira/issues/?jql=project%20%3D%20SPARK%20AND%20status%20in%20(Resolved%2C%20Closed)%20AND%20fixVersion%20in%20(3.1.0%2C%203.1.1)%20AND%20(assignee%20is%20EMPTY%20or%20assignee%20%3D%20apachespark)
>>
>>
>> On Tue, Feb 9, 2021 at 9:05 AM Hyukjin Kwon <gurwls223@gmail.com> wrote:
>>
>>> +1 (binding) from myself too.
>>>
>>> 2021년 2월 9일 (화) 오전 9:28, Kent Yao <yaooqinn@qq.com>님이 작성:
>>>
>>>>
>>>> +1
>>>>
>>>> *Kent Yao *
>>>> @ Data Science Center, Hangzhou Research Institute, NetEase Corp.
>>>> *a spark enthusiast*
>>>> *kyuubi <https://github.com/yaooqinn/kyuubi>is a
>>>> unified multi-tenant JDBC interface for large-scale data processing and
>>>> analytics, built on top of Apache Spark <http://spark.apache.org/>.*
>>>> *spark-authorizer <https://github.com/yaooqinn/spark-authorizer>A Spark
>>>> SQL extension which provides SQL Standard Authorization for **Apache
>>>> Spark <http://spark.apache.org/>.*
>>>> *spark-postgres <https://github.com/yaooqinn/spark-postgres> A library
>>>> for reading data from and transferring data to Postgres / Greenplum with
>>>> Spark SQL and DataFrames, 10~100x faster.*
>>>> *spark-func-extras <https://github.com/yaooqinn/spark-func-extras>A
>>>> library that brings excellent and useful functions from various modern
>>>> database management systems to Apache Spark <http://spark.apache.org/>.*
>>>>
>>>>
>>>>
>>>> On 02/9/2021 08:24,Hyukjin Kwon<gurwls223@gmail.com>
>>>> <gurwls223@gmail.com> wrote:
>>>>
>>>> Please vote on releasing the following candidate as Apache Spark
>>>> version 3.1.1.
>>>>
>>>> The vote is open until February 15th 5PM PST and passes if a majority
>>>> +1 PMC votes are cast, with a minimum of 3 +1 votes.
>>>>
>>>> Note that it is 7 days this time because it is a holiday season in
>>>> several countries including South Korea (where I live), China etc., and I
>>>> would like to make sure people do not miss it because it is a holiday
>>>> season.
>>>>
>>>> [ ] +1 Release this package as Apache Spark 3.1.1
>>>> [ ] -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 v3.1.1-rc2 (commit
>>>> cf0115ac2d60070399af481b14566f33d22ec45e):
>>>> https://github.com/apache/spark/tree/v3.1.1-rc2
>>>>
>>>> The release files, including signatures, digests, etc. can be found at:
>>>> <https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc1-bin/>
>>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc2-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-1365
>>>>
>>>> The documentation corresponding to this release can be found at:
>>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc2-docs/
>>>>
>>>> The list of bug fixes going into 3.1.1 can be found at the following
>>>> URL:
>>>> https://s.apache.org/41kf2
>>>>
>>>> This release is using the release script of the tag v3.1.1-rc2.
>>>>
>>>> FAQ
>>>>
>>>> ===================
>>>> What happened to 3.1.0?
>>>> ===================
>>>>
>>>> There was a technical issue during Apache Spark 3.1.0 preparation, and
>>>> it was discussed and decided to skip 3.1.0.
>>>> Please see
>>>> https://spark.apache.org/news/next-official-release-spark-3.1.1.html for
>>>> more details.
>>>>
>>>> =========================
>>>> 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 via "pip install
>>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc2-bin/pyspark-3.1.1.tar.gz
>>>> "
>>>> 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 an out of date RC going forward).
>>>>
>>>> ===========================================
>>>> What should happen to JIRA tickets still targeting 3.1.1?
>>>> ===========================================
>>>>
>>>> The current list of open tickets targeted at 3.1.1 can be found at:
>>>> https://issues.apache.org/jira/projects/SPARK and search for "Target
>>>> Version/s" = 3.1.1
>>>>
>>>> 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.
>>>>
>>>>
>>>>

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