https://github.com/apache/spark/pull/58929
If I understand correctly about the issue, this is a blocker for 4.2 as it
can break checkpoint in stateful workloads (despite that v2 is not the
default format). The issue isn't framed well enough to emphasize the
severity; once we have a new JIRA ticket (or rewritten JIRA ticket), I'll
bump the severity to blocker.

On Thu, Oct 1, 2026 at 12:29 PM Szehon Ho <[email protected]> wrote:

> I took a look at the recent 4.3 fixes/blockers.  We fixed two for 4.2, but
> we decided not to do the other two for 4.2, as listed below.
>
>    - SPARK-59804 <https://issues.apache.org/jira/browse/SPARK-59804> — PR
>    #59074 <https://github.com/apache/spark/pull/59074> — *merged into 4.2*
>    - SPARK-51830 <https://issues.apache.org/jira/browse/SPARK-51830> — PR
>    #57994 <https://github.com/apache/spark/pull/57994>;    *merged into
>    4.2*
>    - SPARK-44462 <https://issues.apache.org/jira/browse/SPARK-44462> — PR
>    #55410 <https://github.com/apache/spark/pull/55410> — took a look.  it
>    is a complex fix with some risk, and there's some behavior change.  We are
>    leaning towards omitting it from 4.2.1.
>    - SPARK-59122 <https://issues.apache.org/jira/browse/SPARK-59122> — PR
>    #58419 <https://github.com/apache/spark/pull/58419> — took a look.  It
>    is also not so simple and also UNION codegen is disabled on 4.2, so also
>    leaning towards omitting it from 4.2.1.
>
> I am not sure we need to wait until 4.3 RC passes, as the scope of 4.2.1
> maintenance release should be a more focused fix for 4.2 users hitting
> obvious issues (example, on Iceberg side).  As we see from some examples,
> some 4.3 issues may not be appropriate for 4.2.  I would prefer to restart
> the process and halt only if there is an unresolved 4.2 blocker, unless
> someone feels strongly otherwise.
>
> Thanks,
> Szehon
>
> On Mon, Sep 28, 2026 at 7:01 PM Holden Karau <[email protected]>
> wrote:
>
>> I think it might be good to hold the point releases until the 4.3 RC
>> passes just incase we’ve got any blockers we discover and want to backport?
>> I don’t think it’s a “must” hold just it might make life easier.
>>
>>
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>> On Mon, Sep 28, 2026 at 6:20 PM Uroš Bojanić <[email protected]> wrote:
>>
>>> Hi folks, thank you for working on this! Please also let me know if any
>>> of the issues above are blockers for other releases (e.g. 4.1.4, 4.0.5) or
>>> not; there are separate threads for those releases as well.
>>>
>>> On 2026/09/28 09:11:21 [email protected] wrote:
>>> > Please vote on releasing the following candidate as Apache Spark
>>> version 4.2.1.
>>> >
>>> > The vote is open until Thu, 01 Oct 2026 03:11:20 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 4.2.1
>>> > [ ] -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 v4.2.1-rc1 (commit 72c18760854):
>>> > https://github.com/apache/spark/tree/v4.2.1-rc1
>>> >
>>> > The release files, including signatures, digests, etc. can be found at:
>>> > https://dist.apache.org/repos/dist/dev/spark/v4.2.1-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-1531/
>>> >
>>> > The documentation corresponding to this release can be found at:
>>> > https://dist.apache.org/repos/dist/dev/spark/v4.2.1-rc1-docs/
>>> >
>>> > The list of bug fixes going into 4.2.1 can be found at the following
>>> URL:
>>> > https://issues.apache.org/jira/projects/SPARK/versions/12357191
>>> >
>>> > 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/v4.2.1-rc1-bin/pyspark-4.2.1.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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