+1 (non-binding)

On Mon, Dec 1, 2025 at 12:07 PM Cameron Scholes <[email protected]>
wrote:

> +1 (non-binding)
> On 01/12/2025 09:54, Manu Zhang 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]> 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] 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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>> >
>> >
>>
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