This webinar provides an overview of how to easily and effectively debug your Airflow DAGs when an error inevitably occurs. We cover everything from setting up a local environment for iterative development, to debugging DAG and task issues, to identifying issues with your Airflow infrastructure.
Questions covered in this session include:
- What do I do if my local AIrflow instance won’t start?
- What is the easiest way to implement local testing for Airflow DAGs?
- How do I find my task and scheduler logs, and what do I do if my logs aren’t showing up?
- Where can I get additional help and how do I file an issue in Airflow if I encounter a bug?
All of the code shown in this webinar can be found in this repo. Additional resources mentioned include: