+1 (non-binding)

郑瑞峰 <ruife...@foxmail.com> 于2021年4月29日周四 上午10:50写道:
>
> +1 (non-binding)
>
> Thanks,
> ruifengz
>
> ------------------ 原始邮件 ------------------
> 发件人: "Hyukjin Kwon" <gurwls...@gmail.com>;
> 发送时间: 2021年4月29日(星期四) 上午8:14
> 收件人: "Sean Owen"<sro...@apache.org>;
> 抄送: "Liang-Chi Hsieh"<vii...@gmail.com>;"dev"<dev@spark.apache.org>;
> 主题: Re: [VOTE] Release Spark 2.4.8 (RC3)
>
> +1
>
> On Thu, 29 Apr 2021, 07:08 Sean Owen, <sro...@apache.org> wrote:
>>
>> +1 from me too, same result as last time.
>>
>> On Wed, Apr 28, 2021 at 11:33 AM Liang-Chi Hsieh <vii...@gmail.com> wrote:
>>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 2.4.8.
>>>
>>> The vote is open until May 4th at 9AM PST and passes if a majority +1 PMC
>>> votes are cast, with a minimum of 3 +1 votes.
>>>
>>> [ ] +1 Release this package as Apache Spark 2.4.8
>>> [ ] -1 Do not release this package because ...
>>>
>>> To learn more about Apache Spark, please see http://spark.apache.org/
>>>
>>> There are currently no issues targeting 2.4.8 (try project = SPARK AND
>>> "Target Version/s" = "2.4.8" AND status in (Open, Reopened, "In Progress"))
>>>
>>> The tag to be voted on is v2.4.8-rc3 (commit
>>> e89526d2401b3a04719721c923a6f630e555e286):
>>> https://github.com/apache/spark/tree/v2.4.8-rc3
>>>
>>> The release files, including signatures, digests, etc. can be found at:
>>> https://dist.apache.org/repos/dist/dev/spark/v2.4.8-rc3-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-1377/
>>>
>>> The documentation corresponding to this release can be found at:
>>> https://dist.apache.org/repos/dist/dev/spark/v2.4.8-rc3-docs/
>>>
>>> The list of bug fixes going into 2.4.8 can be found at the following URL:
>>> https://s.apache.org/spark-v2.4.8-rc3
>>>
>>> This release is using the release script of the tag v2.4.8-rc3.
>>>
>>> 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 an out of date RC going forward).
>>>
>>> ===========================================
>>> What should happen to JIRA tickets still targeting 2.4.8?
>>> ===========================================
>>>
>>> The current list of open tickets targeted at 2.4.8 can be found at:
>>> https://issues.apache.org/jira/projects/SPARK and search for "Target
>>> Version/s" = 2.4.8
>>>
>>> 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.
>>>
>>>
>>>
>>> --
>>> Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>>>


-- 

 Kent Yao
@ Data Science Center, Hangzhou Research Institute, NetEase Corp.
a spark enthusiast
kyuubiis a unified multi-tenant 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 A library for reading data from and transferring data
to Postgres / Greenplum with Spark SQL and DataFrames, 10~100x faster.
itatchiA library that brings useful functions from various modern
database management systems to Apache Spark.

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