Quick Notes: Apache Airflow^® 3.2

Apache Airflow® 3.2 introduces new features that make your pipelines more powerful and your development experience more productive. This quick notes guide covers the three biggest additions: partitioned Dag runs, native async Python support, and UI theming, plus a rundown of other notable changes.

You’ll learn how to:

• Use partitioned Dag runs and asset events to attach partition keys to scheduled and asset-triggered runs for more precise data-aware scheduling.
• Run native async Python in @task decorated functions and the PythonOperator, and when to choose async tasks over deferrable operators.
• Customize the Airflow UI with brand color and CSS overrides, and how to extend it with React-based plugins using the new base destination.