One more thing to add before we cut RC3: We are blocking TIME type by
default in 4.1 (PR <https://github.com/apache/spark/pull/53344>), as data
source support, one of the basic functionalities, is still in progress.

On Thu, Dec 4, 2025 at 10:14 AM Dongjoon Hyun <[email protected]> wrote:

> Thank you all for your new feedback.
>
> Unfortunately, I am concluding this RC2 vote as not passed again because
> it didn't meet the requirements.
>
> Dongjoon Hyun.
>
> On 2025/12/02 02:25:07 Jules Damji wrote:
> > +1 (non-binding)
> >
> > —
> >
> > Sent from my iPhone
> >
> > Pardon the dumb thumb typos :)
> >
> >
> >
> > > On Dec 1, 2025, at 1:55 AM, Manu Zhang <[email protected]>
> wrote:
> > >
> > >
> >
> > > 
> > >
> > > +1 (non-binding)
> > >
> > >
> > >
> > >
> > > All tests passed now for [Spark 4.1 support in
> > > Iceberg](https://github.com/apache/iceberg/pull/14155).
> > >
> > >
> > >
> > >
> >
> > >> FYI, RC2 has 41 commits after RC2.
> >
> > >
> > > You mean "after RC1", right? ;)
> > >
> > >
> > >
> > >
> > > Regards,
> > >
> > > Manu
> > >
> > >
> > >
> > >
> > > On Mon, Dec 1, 2025 at 8:46 AM Dongjoon Hyun
> > > <[[email protected]](mailto:[email protected])> wrote:
> > >
> > >
> >
> > >> I'll start with my +1 as a release manager.
> > >
> > >  FYI, RC2 has 41 commits after RC2.
> > >
> > >  $ git log --oneline v4.1.0-rc1...v4.1.0-rc2 | wc -l
> > >        41
> > >
> > >  Thank you in advance for all your feedback.
> > >
> > >  Dongjoon Hyun.
> > >
> > >  On 2025/12/01 00:42:51 [[email protected]](mailto:
> [email protected])
> > > wrote:
> > >  > Please vote on releasing the following candidate as Apache Spark
> version
> > > 4.1.0.
> > >  >
> > >  > The vote is open until Wed, 03 Dec 2025 17:42:51 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 4.1.0
> > >  > [ ] -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 v4.1.0-rc2 (commit 560c52d5dff):
> > >  > <https://github.com/apache/spark/tree/v4.1.0-rc2>
> > >  >
> > >  > The release files, including signatures, digests, etc. can be found
> at:
> > >  > <https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc2-bin/>
> > >  >
> > >  > Signatures used for Spark RCs can be found in this file:
> > >  > <https://downloads.apache.org/spark/KEYS>
> > >  >
> > >  > The staging repository for this release can be found at:
> > >  > <
> https://repository.apache.org/content/repositories/orgapachespark-1507/>
> > >  >
> > >  > The documentation corresponding to this release can be found at:
> > >  > <https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc2-docs/>
> > >  >
> > >  > The list of bug fixes going into 4.1.0 can be found at the
> following URL:
> > >  > <https://issues.apache.org/jira/projects/SPARK/versions/12355581>
> > >  >
> > >  > 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 via "pip install
> > > <
> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc2-bin/pyspark-4.1.0.tar.gz>"
>
> > >  > and see if anything important breaks.
> > >  > In the Java/Scala, you can add the staging repository to your
> project's
> > > 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).
> > >  >
> > >  >
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