+1

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On Sun, Oct 26, 2025 at 8:01 PM Wenchen Fan <[email protected]> wrote:

> +1
>
> On Mon, Oct 27, 2025 at 10:49 AM Yang Jie <[email protected]> wrote:
>
>> +1,thank you Hyukjin
>>
>> On 2025/10/27 02:37:01 Dongjoon Hyun wrote:
>> > +1
>> >
>> > Thank you so much, Hyukjin.
>> >
>> > Dongjoon.
>> >
>> > On 2025/10/27 02:09:27 Hyukjin Kwon wrote:
>> > > Starting with my own +1
>> > >
>> > > On Mon, 27 Oct 2025 at 11:07, <[email protected]> wrote:
>> > >
>> > > > Please vote on releasing the following candidate as Apache Spark
>> version
>> > > > 4.1.0-preview3.
>> > > >
>> > > > The vote is open until Wed, 29 Oct 2025 20:07:25 PDT 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-preview3
>> > > > [ ] -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-preview3-rc1 (commit cdeb3b4f237):
>> > > > https://github.com/apache/spark/tree/v4.1.0-preview3-rc1
>> > > >
>> > > > The release files, including signatures, digests, etc. can be found
>> at:
>> > > >
>> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview3-rc1-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-1504/
>> > > >
>> > > > The documentation corresponding to this release can be found at:
>> > > >
>> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview3-rc1-docs/
>> > > >
>> > > > The list of bug fixes going into 4.1.0-preview3 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-preview3-rc1-bin/pyspark-4.1.0.dev3.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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>> > > >
>> > > >
>> > >
>> >
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>> >
>>
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