+1, also test passed with spark-docker workflow (downloading rc4 tgz,
extract, build image, run K8s IT)

[1] https://github.com/Yikun/spark-docker/pull/9

Regards,
Yikun

On Wed, Oct 19, 2022 at 8:59 AM Wenchen Fan <cloud0...@gmail.com> wrote:

> +1
>
> On Wed, Oct 19, 2022 at 4:59 AM Chao Sun <sunc...@apache.org> wrote:
>
>> +1. Thanks Yuming!
>>
>> Chao
>>
>> On Tue, Oct 18, 2022 at 1:18 PM Thomas graves <tgra...@apache.org> wrote:
>> >
>> > +1. Ran internal test suite.
>> >
>> > Tom
>> >
>> > On Sun, Oct 16, 2022 at 9:14 PM Yuming Wang <wgy...@gmail.com> wrote:
>> > >
>> > > Please vote on releasing the following candidate as Apache Spark
>> version 3.3.1.
>> > >
>> > > The vote is open until 11:59pm Pacific time October 21th and passes
>> if a majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
>> > >
>> > > [ ] +1 Release this package as Apache Spark 3.3.1
>> > > [ ] -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 v3.3.1-rc4 (commit
>> fbbcf9434ac070dd4ced4fb9efe32899c6db12a9):
>> > > https://github.com/apache/spark/tree/v3.3.1-rc4
>> > >
>> > > The release files, including signatures, digests, etc. can be found
>> at:
>> > > https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc4-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-1430
>> > >
>> > > The documentation corresponding to this release can be found at:
>> > > https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc4-docs
>> > >
>> > > The list of bug fixes going into 3.3.1 can be found at the following
>> URL:
>> > > https://s.apache.org/ttgz6
>> > >
>> > > This release is using the release script of the tag v3.3.1-rc4.
>> > >
>> > >
>> > > FAQ
>> > >
>> > > ==================
>> > > What happened to v3.3.1-rc3?
>> > > ==================
>> > > A performance regression(SPARK-40703) was found after tagging
>> v3.3.1-rc3, which the Iceberg community hopes Spark 3.3.1 could fix.
>> > > So we skipped the vote on v3.3.1-rc3.
>> > >
>> > > =========================
>> > > 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 3.3.1?
>> > > ===========================================
>> > > The current list of open tickets targeted at 3.3.1 can be found at:
>> > > https://issues.apache.org/jira/projects/SPARK and search for "Target
>> Version/s" = 3.3.1
>> > >
>> > > 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.
>> > >
>> > >
>> >
>> > ---------------------------------------------------------------------
>> > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>> >
>>
>> ---------------------------------------------------------------------
>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>>
>>

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