For a quick note, I would also want to include pyspark behavioral changes
notes
- https://github.com/apache/spark/pull/58436 (this one also reverts a behavior 
change flag flip)
- https://github.com/apache/spark/pull/58320

So that we can make sure 4.2 -> 4.3 is documented correctly.

Best,
Yicong

On 2026/08/31 20:26:38 Holden Karau wrote:
> Bit more context: I think we jumped the gun on the release candidate even
> though it is past the time we are scheduled to do that, and I've got
> another thread so just trying to keep the discussion together in one place.
> 
> On Mon, Aug 31, 2026 at 1:23 PM Holden Karau <[email protected]> wrote:
> 
> > -1, discuss on private
> >
> > On Mon, Aug 31, 2026 at 1:15 PM Szehon Ho <[email protected]> wrote:
> >
> >> Hi Jungtaek,
> >>
> >> I would like to to get https://github.com/apache/spark/pull/58412 in.
> >> It's not the most major one, but we recently added a DSV2 API and it'd be
> >> great to avoid behavior change in future releases by fixing the behavior.
> >>
> >> But that being said, signature, sha-512, and basic verifications look
> >> good to me.
> >>
> >> Thanks for driving the release!
> >> Szehon
> >>
> >> On Mon, Aug 31, 2026 at 6:37 AM Jungtaek Lim <[email protected]> wrote:
> >>
> >>> Folks, please do not hesitate to test this RC; we generally did not make
> >>> RC1 pass, but we should use the RC1 to descope the defects and critical
> >>> fixes, to verify less things in the next RC, and iterate till we 
> >>> eventually
> >>> have consensus of OK sign on specific RC.
> >>>
> >>> On Mon, Aug 31, 2026 at 6:51 PM <[email protected]> wrote:
> >>>
> >>>> Please vote on releasing the following candidate as Apache Spark
> >>>> version 4.3.0.
> >>>>
> >>>> The vote is open until Thu, 03 Sep 2026 03:51:35 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 4.3.0
> >>>> [ ] -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 v4.3.0-rc1 (commit 3db813416c8):
> >>>> https://github.com/apache/spark/tree/v4.3.0-rc1
> >>>>
> >>>> The release files, including signatures, digests, etc. can be found at:
> >>>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-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-1530/
> >>>>
> >>>> The documentation corresponding to this release can be found at:
> >>>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc1-docs/
> >>>>
> >>>> The list of bug fixes going into 4.3.0 can be found at the following
> >>>> URL:
> >>>> https://issues.apache.org/jira/projects/SPARK/versions/12356944
> >>>>
> >>>> 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/v4.3.0-rc1-bin/pyspark-4.3.0.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).
> >>>>
> >>>> ---------------------------------------------------------------------
> >>>> To unsubscribe e-mail: [email protected]
> >>>>
> >>>>
> >
> > --
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> 
> 
> -- 
> Twitter: https://twitter.com/holdenkarau
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