+1 One question I had though was how we think of long-running larger features developed in open-source ? If we merge them to master, are we ok to keep the APIs/features as experimental/hidden before we are ready for release ? Also - are we allowed to change these APIs across minor releases and do we need to wait for the next major release to make them available publicly?
Thanks, Anish On Mon, Dec 8, 2025 at 3:50 PM DB Tsai <[email protected]> wrote: > +1 > > DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1 > > On Dec 8, 2025, at 2:18 PM, Gengliang Wang <[email protected]> wrote: > > +1 for faster and predictable release. > > On Sun, Dec 7, 2025 at 1:58 PM Hyukjin Kwon <[email protected]> wrote: > >> PS: I would like to stop preview releases once this SPIP passes as we >> will have relatively quick releases. However, I plan to start another vote >> separately to avoid mixing this proposal with stopping previews. >> >> On Mon, 8 Dec 2025 at 06:52, 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 >>> <https://docs.google.com/document/d/1gBoZ4KH5zQUWpgK3M7zAN7p6Glz4S_e9bO3PvQA9sQs/edit?usp=sharing> >>> >>> Thanks! >>> >> >
