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.
> >>>
> >>>
> >>
>
>
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