+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 you don't end up building with an out of date RC going forward).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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