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. > > > > >
