Yea +1 to Liang-Chi's question as well.

So, if we merge to master, will it only go to the next major release ?
Whereas if we want to merge to branch-5.3 for eg - assuming that branch-5.2
is the current latest released version, we have to merge to branch-5.x and
the next minor version for that branch will then include our change ? If we
want to do this, this might require some CI changes on github actions than
we do today ?

Thanks,
Anish

On Mon, Dec 8, 2025 at 5:04 PM L. C. Hsieh <[email protected]> wrote:

> I see.
>
> In the "Code Merging Principle" section,
> > For non-behavior changes, always merge to master and the latest .x
> branch. This change will be released with the next minor release
>
> Is this .x branch meaning a branch of a major branch like branch-4.x?
>
> Also, looks like master and the latest .x branch basically have the
> same codebase?
>
> On Mon, Dec 8, 2025 at 4:37 PM Hyukjin Kwon <[email protected]> wrote:
> >
> > I actually intentionally disabled the commenter access so the discussion
> can happen here :-). Otherwise, we would end up with multiple places to
> discuss this.
> >
> > On Tue, 9 Dec 2025 at 09:33, L. C. Hsieh <[email protected]> wrote:
> >>
> >> Can you open comment access to the google doc?
> >> So it will be easier to ask questions directly on the SPIP doc.
> >>
> >> On Sun, Dec 7, 2025 at 1:53 PM Hyukjin Kwon <[email protected]>
> wrote:
> >> >
> >> > Hi all,
> >> >
> >> > I would like to start a discussion on accelerating the Apache Spark
> release cadence. Over the past four months, we have been running preview
> releases, and the process has been smooth and effective. As mentioned in
> the preview release discussion thread, I’d now like to extend this approach
> to official releases.
> >> >
> >> > During this period, I also looked into how other large projects, such
> as Kubernetes and Python, manage their release timelines. Based on that
> research and our own recent experience, I’ve drafted a proposal for an
> updated Apache Spark release plan.
> >> >
> >> > TL;DR:
> >> >
> >> > Introduce a predictable release schedule: annual major releases and
> quarterly minor releases, so users can benefit from new features earlier.
> >> > With a faster cadence for minor releases, we should take a more
> conservative approach toward behavior changes in minor versions, while
> still allowing new features and improvements.
> >> >
> >> > I’d love to hear your thoughts and feedback.
> >> >
> >> > More details can be found in SPIP: Accelerating Apache Spark Release
> Cadence
> >> >
> >> > Thanks!
> >>
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