Lead Developer Advocate
This “Live with Astronomer” session covers how to use the new
dag.test() function to quickly test and debug your Airflow DAGs directly in your IDE. Using the
dag.test() function speeds up iterative development by running tasks in a single, serialized Python process that does not require running Airflow.
Questions covered in this session include:
- How does the
dag.test()function work and what version of Airflow do I need to use it?
- What are the prerequisites for the environment I run
- Which operators does
dag.test()work best with?
- How can I test argument-specific DAG runs with
Get Apache Airflow Certified
If you want to learn more about how to get started with Airflow, you can join the thousands of other data engineers who have received the Astronomer Certification for Apache Airflow Fundamentals. This exam assesses an understanding of the basics of the Airflow architecture and the ability to create simple data pipelines for scheduling and monitoring tasks.Learn More About Certification