Release 2022.12.1

[jrbourbeau]

Release version	2022.12.1
Planned release date	2022-12-16
Status	On-track
Release manager	@jrbourbeau

Best effort

Try to close before the release but will not block the release

• Serialize all pyarrow extension arrays efficiently dask#9740
• Support dtype_backend="pandas|pyarrow" configuration dask#9719
• Support cupy.ndarray to cudf.DataFrame dispatching in dask.dataframe dask#9579
• Add support for Python 3.11 distributed#7249
• Add support for Python 3.11 dask#9708
• Make filesystem-backend configurable in read_parquet dask#9699

Blocker

Issues that would cause us to block and postpone the release if not fixed

• ...
• ...

Comments

As folks will probably start heading out for the holidays soon, I'll suggest this be the last planned release for the year.

cc @fjetter @quasiben @jakirkham @rjzamora

[jakirkham]

Is Python 3.11 something we are trying to support in this release?

[jrbourbeau]

Good point. I've added the 3.11 PRs to the "Best effort" section (it'd be nice to have, but shouldn't block)

[jrbourbeau]

Alright, all "Best effort" PRs are in. I'm going to start pushing out the release in ~45 minutes

[jrbourbeau]

2022.12.1 is out on PyPI and conda-forge PRs are open:

• Release 2022.12.1 conda-forge/dask-core-feedstock#156
• Release 2022.12.1 conda-forge/distributed-feedstock#236
• Release 2022.12.1 conda-forge/dask-feedstock#210

[jrbourbeau]

Docker images and conda-forge packages are out. Thanks all!

[jakirkham]

Thanks James! 🙏