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 > > > > > > > > >
