+1
Thanks Peter for driving the release!

Huaxin

On Thu, Sep 18, 2025 at 8:54 AM kazuyuki tanimura
<ktanim...@apple.com.invalid> wrote:

> +1 (non-binding)
>
> Kazu
>
>
> On Sep 18, 2025, at 8:43 AM, Dongjoon Hyun <dongj...@apache.org> wrote:
>
> +1
>
> Thank you for leading Apache Spark 3.5.7 release, Peter.
>
> Dongjoon
>
> On 2025/09/18 04:41:46 Zhou Jiang wrote:
>
> + 1
>
>
> On Sep 17, 2025, at 16:14, pt...@apache.org wrote:
>
> Please vote on releasing the following candidate as Apache Spark version
> 3.5.7.
>
> The vote is open until Sat, 20 Sep 2025 17:13:14 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 3.5.7
> [ ] -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 v3.5.7-rc1 (commit ed00d046951):
> https://github.com/apache/spark/tree/v3.5.7-rc1
>
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.5.7-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-1502/
>
> The documentation corresponding to this release can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.5.7-rc1-docs/
>
> The list of bug fixes going into 3.5.7 can be found at the following URL:
> https://issues.apache.org/jira/projects/SPARK/versions/12355975
>
> 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/v3.5.7-rc1-bin/pyspark-3.5.7.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 you don't end up building with an out of date RC going forward).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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