Hi, Mark.

Apache Spark 4.1.0 RC3 vote passed according to the ASF policy with the 
majority rule.

However, your comment is also a reasonable argument. I welcome any high level 
discussion about that always independently (as we did in the mailing before). 
Let's use the on-going thread like the following.

[DISCUSS] SPIP: Accelerating Apache Spark Release Cadence
https://lists.apache.org/thread/31rx0xmwbhloljsowc9ksl6kk5vbb3r4

To other people, Apache Spark community receives 3296 patches until now. 
Roughly 9 commits per day. And, we backport many bug fixes to 
branch-4.1/4.0/3.5. That's the reason why ASF and Apache Spark community 
carefully pre-defined the release blockers like Jira Issue Priority "Blocker" 
or regression check.

$ git log --oneline --since=2025-01-01 | wc -l
    3295

I believe "Having a release is better than no release at all". Apache Spark 
4.1.1 is already starting on branch-4.1.

Sincerely,
Dongjoon.


On 2025/12/16 18:17:00 Mark Hamstra wrote:
> On a little higher level, not restricted to just this issue/PR, there
> is a distinct difference between "if there is no regression, then we
> can release without fixing the issue" and "if there is no regression,
> then we must release without fixing the issue". I don't believe that
> the latter has ever been established as agreed upon policy in the
> Spark project. I also don't believe that it is a good policy: there
> are issues worth taking the time to fix (or at least carefully
> discuss) even if they are not regressions.
> 
> On Tue, Dec 16, 2025 at 5:54 AM Herman van Hovell via dev
> <[email protected]> wrote:
> >
> > Dongjoon,
> >
> > I have a couple of problems with this course of action:
> >
> > You seem to be favoring speed over quality here. Even if my vote were 
> > erroneous, you should give me more than two hours to respond. This is a 
> > global community, not everyone is awake at the same time. As far as I know 
> > we try to follow a consensus driven decision making process here; this 
> > seems to be diametrically opposed to that.
> > The problem itself is serious since it can cause driver crashes. In general 
> > I believe that we should not be in the business of shipping obviously 
> > broken things. The only thing you are doing now is increase toil by forcing 
> > us to release a patch version almost immediately.
> > The offending change was backported to a maintenance release. That is 
> > something different than it being a previously known problem.
> > I am not sure I follow the PR argument. You merged my initial PR without 
> > even checking in with me. That PR fixed the issue, it just needed proper 
> > tests and some touch-ups (again quality is important). I open a follow-up 
> > that contains proper testing, and yes this fails because of a change in 
> > error types, it happens, I will fix it. The statement that we don't have a 
> > fix is untrue, the fact that you state otherwise makes me seriously doubt 
> > your judgement here. You could have asked me or someone else, you could 
> > have leaned in and checked it yourself.
> >
> > I would like to understand why there is such a rush here.
> >
> > Kind regards,
> > Herman
> >
> > On Tue, Dec 16, 2025 at 7:27 AM Dongjoon Hyun <[email protected]> wrote:
> >>
> >> After rechecking, this vote passed.
> >>
> >> I'll send a vote result email.
> >>
> >> Dongjoon.
> >>
> >> On 2025/12/16 11:03:39 Dongjoon Hyun wrote:
> >> > Hi, All.
> >> >
> >> > I've been working with Herman's PRs so far.
> >> >
> >> > As a kind of fact checking, I need to correct two things in RC3 thread.
> >> >
> >> > First, Herman claimed that he found a regression of Apache Spark 4.1.0, 
> >> > but actually it's not true because Apache Spark 4.0.1 also has 
> >> > SPARK-53342 since 2025-09-06.
> >> >
> >> > Second, although Herman shared us a patch since last Friday, Herman also 
> >> > made another PR containing the main code change 9 hours ago. In 
> >> > addition, unfortunately, it also didn't pass our CIs yet. It simply 
> >> > means that there is no complete patch yet in the community for both 
> >> > Apache Spark 4.1.0 and 4.0.2.
> >> >
> >> > https://github.com/apache/spark/pull/53480
> >> > ([SPARK-54696][CONNECT] Clean-up Arrow Buffers - follow-up)
> >> >
> >> > In short, he seems to block RC3 as a mistake. I'm re-checking the 
> >> > situation around RC3 vote and `branch-4.1` situation.
> >> >
> >> > Dongjoon.
> >> >
> >> > > > >
> >> > > > > On 2025/12/15 14:59:32 Herman van Hovell via dev wrote:
> >> > > > > > I pasted a non-existing link for the root cause. The actual link 
> >> > > > > > is here:
> >> > > > > > https://issues.apache.org/jira/browse/SPARK-53342
> >> > > > > >
> >> > > > > >
> >> > > > > > On Mon, Dec 15, 2025 at 10:47 AM Herman van Hovell <
> >> > > > > [email protected]>
> >> > > > > > wrote:
> >> > > > > >
> >> > > > > > > Hey Dongjoon,
> >> > > > > > >
> >> > > > > > > Regarding your questions.
> >> > > > > > >
> >> > > > > > >    1. If you define a large-ish local relation (which makes us 
> >> > > > > > > cache it
> >> > > > > > >    on the serverside) and keep using it, then leak off-heap 
> >> > > > > > > memory
> >> > > > > every time
> >> > > > > > >    it is being used. At some point the OS will OOM kill the 
> >> > > > > > > driver.
> >> > > > > While I
> >> > > > > > >    have a repro, testing it like this in CI is not a good 
> >> > > > > > > idea. As an
> >> > > > > > >    alternative I am working on a test that checks buffer 
> >> > > > > > > clean-up.For
> >> > > > > the
> >> > > > > > >    record I don't appreciate the term `claim` here; I am not 
> >> > > > > > > blocking a
> >> > > > > > >    release without genuine concern.
> >> > > > > > >    2. The root cause is
> >> > > > > > >    https://databricks.atlassian.net/browse/SPARK-53342 and not 
> >> > > > > > > the
> >> > > > > large
> >> > > > > > >    local relations work.
> >> > > > > > >    3. A PR has been open since Friday:
> >> > > > > > >    https://github.com/apache/spark/pull/53452. I hope that I 
> >> > > > > > > can get
> >> > > > > it
> >> > > > > > >    merged today.
> >> > > > > > >    4. I don't see a reason why.
> >> > > > > > >
> >> > > > > > > Cheers,
> >> > > > > > > Herman
> >> > > > > > >
> >> > > > > > > On Mon, Dec 15, 2025 at 5:47 AM Dongjoon Hyun 
> >> > > > > > > <[email protected]>
> >> > > > > wrote:
> >> > > > > > >
> >> > > > > > >> How can we verify the regression, Herman?
> >> > > > > > >>
> >> > > > > > >> It's a little difficult for me to evaluate your claim so far 
> >> > > > > > >> due to
> >> > > > > the
> >> > > > > > >> lack of the shared information. Specifically, there is no 
> >> > > > > > >> update for
> >> > > > > last 3
> >> > > > > > >> days on "SPARK-54696 (Spark Connect LocalRelation support leak
> >> > > > > off-heap
> >> > > > > > >> memory)" after you created it.
> >> > > > > > >>
> >> > > > > > >> Could you provide us more technical information about your 
> >> > > > > > >> Spark
> >> > > > > Connect
> >> > > > > > >> issue?
> >> > > > > > >>
> >> > > > > > >> 1. How can we reproduce your claim? Do you have a test case?
> >> > > > > > >>
> >> > > > > > >> 2. For the root cause, I'm wondering if you are saying 
> >> > > > > > >> literally
> >> > > > > > >> SPARK-53917 (Support large local relations) or another JIRA 
> >> > > > > > >> issue.
> >> > > > > Which
> >> > > > > > >> commit is the root cause?
> >> > > > > > >>
> >> > > > > > >> 3. Since you assigned SPARK-54696 to yourself for last 3 
> >> > > > > > >> days, do you
> >> > > > > > >> want to provide a PR soon?
> >> > > > > > >>
> >> > > > > > >> 4. If you need more time, shall we simply revert the root 
> >> > > > > > >> cause from
> >> > > > > > >> Apache Spark 4.1.0 ?
> >> > > > > > >>
> >> > > > > > >> Thanks,
> >> > > > > > >> Dongjoon
> >> > > > > > >>
> >> > > > > > >> On 2025/12/14 23:29:59 Herman van Hovell via dev wrote:
> >> > > > > > >> > Yes. It is a regression in Spark 4.1. The root cause is a 
> >> > > > > > >> > change
> >> > > > > where
> >> > > > > > >> we
> >> > > > > > >> > fail to clean-up allocated (off-heap) buffers.
> >> > > > > > >> >
> >> > > > > > >> > On Sun, Dec 14, 2025 at 4:25 AM Dongjoon Hyun 
> >> > > > > > >> > <[email protected]>
> >> > > > > > >> wrote:
> >> > > > > > >> >
> >> > > > > > >> > > Hi, Herman.
> >> > > > > > >> > >
> >> > > > > > >> > > Do you mean that is a regression at Apache Spark 4.1.0?
> >> > > > > > >> > >
> >> > > > > > >> > > If then, do you know what was the root cause?
> >> > > > > > >> > >
> >> > > > > > >> > > Dongjoon.
> >> > > > > > >> > >
> >> > > > > > >> > > On 2025/12/13 23:09:02 Herman van Hovell via dev wrote:
> >> > > > > > >> > > > -1. We need to get
> >> > > > > > >> https://issues.apache.org/jira/browse/SPARK-54696
> >> > > > > > >> > > fixed.
> >> > > > > > >> > > >
> >> > > > > > >> > > > On Sat, Dec 13, 2025 at 11:07 AM Jules Damji <
> >> > > > > [email protected]
> >> > > > > > >> >
> >> > > > > > >> > > wrote:
> >> > > > > > >> > > >
> >> > > > > > >> > > > > +1 non-binding
> >> > > > > > >> > > > > —
> >> > > > > > >> > > > > Sent from my iPhone
> >> > > > > > >> > > > > Pardon the dumb thumb typos :)
> >> > > > > > >> > > > >
> >> > > > > > >> > > > > > On Dec 11, 2025, at 8:34 AM, [email protected] 
> >> > > > > > >> > > > > > wrote:
> >> > > > > > >> > > > > >
> >> > > > > > >> > > > > > Please vote on releasing the following candidate 
> >> > > > > > >> > > > > > as Apache
> >> > > > > > >> Spark
> >> > > > > > >> > > > > version 4.1.0.
> >> > > > > > >> > > > > >
> >> > > > > > >> > > > > > The vote is open until Sun, 14 Dec 2025 09:34:31 
> >> > > > > > >> > > > > > 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-rc3 (commit 
> >> > > > > > >> > > > > > e221b56be7b):
> >> > > > > > >> > > > > > https://github.com/apache/spark/tree/v4.1.0-rc3
> >> > > > > > >> > > > > >
> >> > > > > > >> > > > > > The release files, including signatures, digests, 
> >> > > > > > >> > > > > > etc. can
> >> > > > > be
> >> > > > > > >> found
> >> > > > > > >> > > at:
> >> > > > > > >> > > > > >
> >> > > > > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc3-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-1508/
> >> > > > > > >> > > > > >
> >> > > > > > >> > > > > > The documentation corresponding to this release can 
> >> > > > > > >> > > > > > be
> >> > > > > found at:
> >> > > > > > >> > > > > >
> >> > > > > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc3-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-rc3-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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