Astronomer's Debugging Apache Airflow® DAGs ebook provides a comprehensive guide to solving DAG issues during development and production. It highlights the use of dag.test() in Airflow 2.10+, allowing developers to run all DAG tasks in a single serialized Python process locally without a scheduler or executor, enabling fast iterative debugging and integration with IDE tools. The ebook covers setting up the test command, passing execution dates, variables, and connections, and leveraging proactive alerting and root cause analysis for production debugging. This method replaces the deprecated DebugExecutor, simplifying and accelerating DAG troubleshooting workflows.

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