Thanks Ash and Kaxil.

On Wed, Apr 9, 2025 at 4:20 AM Kaxil Naik <kaxiln...@gmail.com> wrote:

> Thanks Ash.
>
> Cancelling the vote in light of those failures. I plan to cut rc2 tomorrow.
>
> On Wed, 9 Apr 2025 at 16:44, Ash Berlin-Taylor <a...@apache.org> wrote:
>
> > -1 (binding) I’m afraid.
> >
> > We’ve had a number of things we’ve had to fix over the last few days. A
> > small sample of the ones worthy of cancelling the RC over:
> >
> > https://github.com/apache/airflow/pull/48967
> > https://github.com/apache/airflow/pull/48880
> > https://github.com/apache/airflow/pull/48834
> >
> > Good news is that these are already fixed (and we’ve got a couple more
> > fixes we want to get in)
> >
> > -ash
> >
> >
> > > On 4 Apr 2025, at 10:25, Jarek Potiuk <ja...@potiuk.com> wrote:
> > >
> > > Cool.. Fantastic job :)
> > >
> > >
> > >
> > > On Fri, Apr 4, 2025 at 10:27 AM Amogh Desai <amoghdesai....@gmail.com>
> > > wrote:
> > >
> > >> Thanks Kaxil, Ash and others for the work and sleepless nights!!
> > >>
> > >>
> > >> Thanks & Regards,
> > >> Amogh Desai
> > >>
> > >>
> > >> On Fri, Apr 4, 2025 at 5:18 AM Kaxil Naik <kaxiln...@gmail.com>
> wrote:
> > >>
> > >>> Couldn’t sleep so there you go!
> > >>>
> > >>> Following image is now available
> > >>>
> > >>> docker pull apache/airflow:3.0.0.rc1.post4
> > >>> docker pull apache/airflow:3.0.0.rc1.post4-python3.12
> > >>> docker pull apache/airflow:3.0.0.rc1.post4-python3.11
> > >>> docker pull apache/airflow:3.0.0.rc1.post4-python3.10
> > >>>
> > >>>
> > >>> On Fri, 4 Apr 2025 at 03:37, Vikram Koka
> <vik...@astronomer.io.invalid
> > >
> > >>> wrote:
> > >>>
> > >>>> Thanks for the update, Ash!
> > >>>>
> > >>>> I am running RC1 based on the Python package above.
> > >>>>
> > >>>> Best regards,
> > >>>> Vikram
> > >>>>
> > >>>>
> > >>>> On Thu, Apr 3, 2025 at 2:30 PM Ash Berlin-Taylor <a...@apache.org>
> > >> wrote:
> > >>>>
> > >>>>> Anyone waiting for the docker images is going to have to wait until
> > >>>>> tomorrow, (or perhaps even Monday) as the build isn’t currently
> > >>> behaving
> > >>>>> itself after the split of airflow-core and the new meta package
> > >> airflow
> > >>>>>
> > >>>>>  #95 5.136 The conflict is caused by:
> > >>>>>  #95 5.136     The user requested
> > >> apache-airflow-core==3.0.0rc1.post1
> > >>>>>  #95 5.136     apache-airflow 3.0.0rc1.post1 depends on
> > >>>>> apache-airflow-core==3.0.0.rc1
> > >>>>>
> > >>>>> It’s a quirk of the RC naming, we’ll fix it and get the docker
> images
> > >>>>> build.
> > >>>>>
> > >>>>> -ash
> > >>>>>
> > >>>>>> On 3 Apr 2025, at 22:12, Vikram Koka <vik...@astronomer.io.INVALID
> > >>>
> > >>>>> wrote:
> > >>>>>>
> > >>>>>> Awesome!
> > >>>>>> Thank you Kaxil for all your work and also thank you to all the
> > >>>>>> contributors whose hard work and dedication made this release a
> > >>>> reality.
> > >>>>>>
> > >>>>>> Best regards,
> > >>>>>> Vikram
> > >>>>>>
> > >>>>>>
> > >>>>>> On Thu, Apr 3, 2025 at 2:08 PM Kaxil Naik <kaxiln...@gmail.com>
> > >>> wrote:
> > >>>>>>
> > >>>>>>> Docker images will be out soon too.
> > >>>>>>>
> > >>>>>>> On Fri, 4 Apr 2025 at 02:35, Kaxil Naik <kaxiln...@gmail.com>
> > >>> wrote:
> > >>>>>>>
> > >>>>>>>> Hey fellow Airflowers,
> > >>>>>>>>
> > >>>>>>>> I am thrilled to announce the availability of Apache Airflow
> > >>>> 3.0.0rc1 &
> > >>>>>>> *Task
> > >>>>>>>> SDK 1.0.0rc1* for testing! Airflow 3.0 marks a significant
> > >>> milestone
> > >>>> as
> > >>>>>>>> the first major release in over four years, introducing
> > >>> improvements
> > >>>>> that
> > >>>>>>>> enhance user experience, task execution, and system scalability.
> > >>>>>>>>
> > >>>>>>>> This email is calling for a vote on the release,
> > >>>>>>>> which will last at least 7 days until 10th April.
> > >>>>>>>> and until 3 binding +1 votes have been received.
> > >>>>>>>>
> > >>>>>>>> Consider this my (non-binding) +1.
> > >>>>>>>>
> > >>>>>>>> Airflow 3.0.0rc1 is available at:
> > >>>>>>>> https://dist.apache.org/repos/dist/dev/airflow/3.0.0rc1/
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>> "apache-airflow" Meta package:
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>>  - *apache-airflow-3.0.0-source.tar.gz* is a source release that
> > >>>> comes
> > >>>>>>>>  with INSTALL instructions.
> > >>>>>>>>  - *apache-airflow-3.0.0.tar.gz* is the binary Python "sdist"
> > >>>> release.
> > >>>>>>>>  - *apache_airflow-3.0.0-py3-none-any.whl* is the binary Python
> > >>>>>>>>  wheel "binary" release.
> > >>>>>>>>
> > >>>>>>>> "apache-airflow-core" package
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>>  - *apache_airflow_core-3.0.0.tar.gz* is the binary Python
> > >> "sdist"
> > >>>>>>>>  release.
> > >>>>>>>>  - *apache_airflow_3.0.0-py3-none-any.whl* is the binary Python
> > >>>>>>>>  wheel "binary" release.
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>> Task SDK 1.0.0rc1 is available at:
> > >>>>>>>>
> > >> https://dist.apache.org/repos/dist/dev/airflow/task-sdk/1.0.0rc1/
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>> "apache-airflow-task-sdk" package
> > >>>>>>>>
> > >>>>>>>>  - *apache-airflow-task-sdk-1.0.0-source.tar.gz* is a source
> > >>> release
> > >>>>>>>>  - *apache_airflow_task_sdk-1.0.0.tar.gz* is the binary Python
> > >>>> "sdist"
> > >>>>>>>>  release.
> > >>>>>>>>  - *apache_airflow_task_sdk-1.0.0-py3-none-any.whl* is the
> > >> binary
> > >>>>>>>>  Python wheel "binary" release.
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>> Public keys are available at:
> > >>>>>>>> https://dist.apache.org/repos/dist/release/airflow/KEYS
> > >>>>>>>>
> > >>>>>>>> Please vote accordingly:
> > >>>>>>>>
> > >>>>>>>> [ ] +1 approve
> > >>>>>>>> [ ] +0 no opinion
> > >>>>>>>> [ ] -1 disapprove with the reason
> > >>>>>>>>
> > >>>>>>>> Only votes from PMC members are binding, but all members of the
> > >>>>> community
> > >>>>>>>> are encouraged to test the release and vote with
> "(non-binding)".
> > >>>>>>>>
> > >>>>>>>> The test procedure for PMC members is described in:
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>
> > >>>>>
> > >>>>
> > >>>
> > >>
> >
> https://github.com/apache/airflow/blob/main/dev/README_RELEASE_AIRFLOW.md\#verify-the-release-candidate-by-pmc-members
> > >>>>>>>>
> > >>>>>>>> The test procedure for contributors and members of the community
> > >>> who
> > >>>>>>> would
> > >>>>>>>> like to test this RC is described in:
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>
> > >>>>>
> > >>>>
> > >>>
> > >>
> >
> https://github.com/apache/airflow/blob/main/dev/README_RELEASE_AIRFLOW.md\#verify-the-release-candidate-by-contributors
> > >>>>>>>>
> > >>>>>>>> Please note that the version number excludes the 'rcX' string,
> so
> > >>>> it's
> > >>>>>>> now
> > >>>>>>>> simply 3.0.0 for Airflow package and 1.0.0 for Task SDK. This
> > >> will
> > >>>>> allow
> > >>>>>>>> us to rename the artifact without modifying
> > >>>>>>>> the artifact checksums when we actually release.
> > >>>>>>>>
> > >>>>>>>> Release Notes:
> > >>>>>>>>
> > >> https://github.com/apache/airflow/blob/3.0.0rc1/RELEASE_NOTES.rst
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>> *Testing Instructions using PyPI*:
> > >>>>>>>>
> > >>>>>>>> You can build a virtualenv that installs this, and other
> required
> > >>>>>>> packages
> > >>>>>>>> (e.g. task sdk), like this:
> > >>>>>>>>
> > >>>>>>>> ```
> > >>>>>>>>
> > >>>>>>>> uv venv
> > >>>>>>>>
> > >>>>>>>> uv pip install apache-airflow
> > >>>>> apache-airflow-providers-standard==0.3.0rc1
> > >>>>>>>> --pre
> > >>>>>>>>
> > >>>>>>>> ```
> > >>>>>>>>
> > >>>>>>>> Get Involved
> > >>>>>>>>
> > >>>>>>>> We encourage the community to test this release and report any
> > >>> issues
> > >>>>> or
> > >>>>>>>> feedback. Your contributions help us ensure a stable and
> reliable
> > >>>>> Airflow
> > >>>>>>>> 3.0.0 release. Please report issues using Github at
> > >>>>>>>> https://github.com/apache/airflow/issues and mark that this is
> > >> an
> > >>>>> issue
> > >>>>>>>> in 3.0.0. For an updated list of all known issues in the beta
> can
> > >>>> also
> > >>>>> be
> > >>>>>>>> found in the above link with the label
> “affected_version:3.0.0rc”
> > >>>>>>>>
> > >>>>>>>> A huge thank you to all the contributors who have worked on this
> > >>>>>>> milestone
> > >>>>>>>> release!
> > >>>>>>>> Best,
> > >>>>>>>> Kaxil
> > >>>>>>>>
> > >>>>>>>> ---
> > >>>>>>>> What's new in 3.0.0?
> > >>>>>>>>
> > >>>>>>>> Notable Features
> > >>>>>>>>
> > >>>>>>>> DAG versioning & Bundles
> > >>>>>>>>
> > >>>>>>>> Airflow now tracks DAG versions, offering better visibility into
> > >>>>>>>> historical DAG changes and execution states. The introduction of
> > >>> DAG
> > >>>>>>>> Bundles ensures tasks run with the correct code version, even as
> > >>> DAGs
> > >>>>>>>> evolve.
> > >>>>>>>>
> > >>>>>>>> Modern Web Application
> > >>>>>>>>
> > >>>>>>>> The UI has been rebuilt using React and a complete API-driven
> > >>>>> structure,
> > >>>>>>>> improving maintainability and extensibility. It includes a new
> > >>>>>>>> component-based design system and an enhanced information
> > >>>>> architecture. A
> > >>>>>>>> new React-based plugin system supports custom widgets, improved
> > >>>>> workflow
> > >>>>>>>> visibility, and integration with external tools.
> > >>>>>>>>
> > >>>>>>>> Task Execution Interface
> > >>>>>>>>
> > >>>>>>>> Airflow 3.0 adopts a client / server architecture, decoupling
> > >> task
> > >>>>>>>> execution from the internal meta-database via API-based
> > >>> interaction.
> > >>>>> This
> > >>>>>>>> allows for remote execution across networks, multi-language
> > >>> support,
> > >>>>>>>> enhanced security, and better dependency management. The Edge
> > >>>> Executor
> > >>>>>>>> further enables seamless remote task execution without direct
> > >>>> database
> > >>>>>>>> connections.
> > >>>>>>>>
> > >>>>>>>> Data Assets & Asset-Centric Syntax
> > >>>>>>>>
> > >>>>>>>> Airflow 3.0 enhances dataset management by introducing Data
> > >> Assets,
> > >>>>>>>> expanding beyond tables and files to include ML models and more.
> > >>>> Assets
> > >>>>>>> can
> > >>>>>>>> be explicitly defined using the @asset decorator, simplifying
> > >>>> tracking
> > >>>>>>> and
> > >>>>>>>> dependencies.
> > >>>>>>>>
> > >>>>>>>> External Event-Driven Scheduling
> > >>>>>>>>
> > >>>>>>>> Airflow now supports event-driven DAG triggers from external
> > >>> sources
> > >>>>> like
> > >>>>>>>> message queues and blob stores. This builds upon dataset
> > >> scheduling
> > >>>> and
> > >>>>>>>> enhances integration with the external data ecosystem.
> > >>>>>>>>
> > >>>>>>>>
> > >>>>>>>
> > >>>>>
> > >>>>>
> > >>>>>
> ---------------------------------------------------------------------
> > >>>>> To unsubscribe, e-mail: dev-unsubscr...@airflow.apache.org
> > >>>>> For additional commands, e-mail: dev-h...@airflow.apache.org
> > >>>>>
> > >>>>>
> > >>>>
> > >>>
> > >>
> >
> >
>

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