This repository contains the demo code for the Introducing Apache Airflow® 3.0 webinar.

This pipelines hows:

• @asset syntax
• data-aware scheduling
• event-driven scheduling and inference execution
• dynamic task mapping

The dags/syntax_examples folder contains simple dags showing Airflow 3.0 features.

1. Fork and clone this repository.
2. Make sure you have the Astro CLI installed and are at least on version 1.34.0. You can upgrade with brew upgrade astro.
3. To run the full demo DAGs you will need an OpenAI API key, copy the .env_example file to .env and add your OpenAI API key to the file. For the syntax examples you don't need any API keys or connections.
4. Run astro dev start to start the local Airflow instance.
5. Enjoy Airflow 3.0!

You can learn more about the new features in our Learn guides:

• DAG versioning
• @asset
• Event-driven scheduling
• Airflow 3 architecture

To learn how to upgrade from Airflow 2 to Airflow 3, check out the upgrade guide. Check out the release notes for a full list of new features improvements and changes.