Utkarsh and Jed,

Thank you for publishing this as scheduled.
Great way to follow through on the "If it hurts, do it more often"
principle.

It is great to see the list of "open items" reduced in each alpha.
Thank you to all the contributors, great job!

Best regards,
Vikram


On Thu, Feb 13, 2025 at 9:30β€―AM Utkarsh Sharma
<utkarsh.sha...@astronomer.io.invalid> wrote:

> Dear Airflow Community,
>
> I am thrilled to announce the availability of *Apache Airflow 3.0.0.alpha3*
> 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.
> First, a few caveats:
>
>    - This is an *alpha release*, so do not run it in production. It may
>    contain significant issues, and you will likely need to reset your
> database
>    between this and subsequent alpha, beta, or release candidate
> versions. *(Consider
>    yourself warned!)*
>    - This release is intended for *Airflow developers and early adopters*
>    to test the build and start preparing for Airflow 3.0.0. This is *not an
>    official release*β€”that will happen when we create a release candidate
>    and hold a vote.
>    - The *expected timeline* for the first release candidate is *the week
>    of 2025-03-31*, but we encourage early feedback to help stabilize the
>    release.
>
> What's New in 3.0.0.alpha3?
>
> Apache Airflow 3.0.0 introduces significant enhancements and breaking
> changes.
> *Notable Features* *DAG Versioning & Bundles*
>
>    - Airflow now tracks *DAG versions*, offering better visibility into
>    historical DAG changes and execution states.
>    - *DAG Bundles* ensure 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.
>    - 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*, *multi-language support*, enhanced
>    security, and better dependency management.
>    - The *Edge Executor* 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.
>    - This builds upon dataset scheduling and enhances integration with the
>    external data ecosystem.
>
> For a more comprehensive list of new features, see the 3.0.0.alpha3 release
> notes
> <
> https://github.com/apache/airflow/blob/3.0.0a2/RELEASE_NOTES.rst#airflow-300alpha2-2025-01-31
> >
> .
>
> For a list of the breaking changes, visit: Apache Airflow Breaking Changes
> <https://cwiki.apache.org/confluence/x/9pCMEw>
> *Known Issues in 3.0.0.alpha3* *AIP-72 - Task Execution Interface*
>
>    - *DB isolation in tasks* is not enforced yet.
>    - *KubernetesExecutor* does not yet use the Task Execution Interface.
>    - The following do not work on *LocalExecutor* or *CeleryExecutor*:
>       - Skip-based tasks (e.g. branch or skip operators).
>       - Task callbacks.
>
> *AIP-38 - Modern Web Application*
>
>    - The new UI has *limited functionality* at this time and is still being
>    enhanced until GA.
>    - *FastAPI API server* (including the new UI and public API) does not
>    yet have authentication.
>    - UI performance may degrade with a *large number of DAGs* or *very big
>    DAGs*.
>    - Notable areas of functionality *not yet implemented* in the UI:
>       - DAG Versioning, Data Assets, Backfills, DAG Gantt View.
>
> *AIP-82 - Event-Based Scheduling*
>
>    - Some triggers (e.g., *file-based triggers*) may lead to *duplicate DAG
>    runs*.
>
> *Where to Get It?*
>
> The *alpha snapshot* is available at: Apache Airflow 3.0.0.alpha3
> Distribution <https://dist.apache.org/repos/dist/dev/airflow/3.0.0a3/>
>
>    - *Binary Python "sdist" snapshot:* apache-airflow-3.0.0a3-bin.tar.gz
>    - *Binary Python wheel snapshot:*
> apache_airflow-3.0.0a3-py3-none-any.whl
>
> This snapshot has *not been published to PyPI*.
>
> Also present are *alpha releases* for:
>
>    - apache-airflow-task-sdk
>    - apache-airflow-providers-standard
>    - apache-airflow-providers-fab
>    - apache-airflow-providers-celery
>
> These *are also not published to PyPI*.
> *Public Keys & Verification*
>
> Public keys for verification are available at: Apache Airflow KEYS
> <https://www.apache.org/dist/airflow/KEYS>
> *Installation Instructions*
>
> To build a virtualenv that installs this alpha release and required
> packages:
>
> uv venv
>
> uv pip install --find-links
> https://dist.apache.org/repos/dist/dev/airflow/3.0.0a3/ \
> apache-airflow==3.0.0a3 \
> apache-airflow-task-sdk==1.0.0a3 \
> apache-airflow-providers-standard==0.1.0a3 \
> apache-airflow-providers-fab==2.0.0a3 \
> apache-airflow-providers-celery==3.11.0a3
>
> *Changes You’ll Need to Consider*
>
>    - The *standalone DAG processor* is now required, start it with:
>
>    airflow dag-processor
>
>    - The new UI and public API start with:
>
>    airflow fastapi-api
>
>    UI is available at http://localhost:9091/webapp.
>    - Depending on your deployment setup, you may need to set the [workers]
>    execution_api_server_url config option. Default:
>
>    http://localhost:9091/execution/
>
>
> *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*.
>
> A huge *thank you* to all the contributors who have worked on this
> milestone release!
>
> *Best,*
> Utkarsh and Jed
>

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