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From "郑瑞峰" <ruife...@foxmail.com>
Subject 回复: [VOTE] Release Spark 3.1.1 (RC2)
Date Tue, 09 Feb 2021 06:57:41 GMT
+1 (non-binding)


Thank you, Hyukjin






------------------ 原始邮件 ------------------
发件人:                                                                               
                                        "Gengliang Wang"                                 
                                                  <ltnwgl@gmail.com&gt;;
发送时间:&nbsp;2021年2月9日(星期二) 中午1:50
收件人:&nbsp;"Sean Owen"<srowen@apache.org&gt;;
抄送:&nbsp;"Hyukjin Kwon"<gurwls223@gmail.com&gt;;"Yuming Wang"<wgyumg@gmail.com&gt;;"dev"<dev@spark.apache.org&gt;;
主题:&nbsp;Re: [VOTE] Release Spark 3.1.1 (RC2)



+1


On Tue, Feb 9, 2021 at 1:39 PM Sean Owen <srowen@apache.org&gt; wrote:

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&gt; 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&gt; 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&gt; wrote:

+1 (binding) from myself too.

2021년 2월 9일 (화) 오전 9:28, Kent Yao <yaooqinn@qq.com&gt;님이 작성:

            
     

         +1
                           
              
                                                                                        Kent
Yao 
@ Data Science Center, Hangzhou Research Institute, NetEase Corp.a spark enthusiast
kyuubiis a unified multi-tenant&nbsp;JDBC interface for large-scale data processing and
analytics, built on top of Apache Spark.

spark-authorizerA Spark SQL extension which provides SQL Standard Authorization for Apache
Spark.
spark-postgres&nbsp;A library for reading data from and transferring data to Postgres
/ Greenplum with Spark SQL and DataFrames, 10~100x faster.
spark-func-extrasA library that brings excellent and useful functions from various modern
database management systems to Apache Spark.








 
 
 
 
 
 
 
         
     
      
     
 
     On 02/9/2021 08:24,Hyukjin Kwon<gurwls223@gmail.com&gt; 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-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&nbsp;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&nbsp;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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