The airflow.cfg file is the central command center for , a Python-based platform used to author, schedule, and monitor complex workflows. This configuration file dictates everything from how many tasks can run simultaneously to where your DAGs (Directed Acyclic Graphs) are stored. Core Purpose and Location
: Controls how the scheduler identifies and kicks off tasks. Important settings include dag_dir_list_interval , which determines how often the scheduler scans for new DAG files. airflow cfg.zip
: The hardcoded defaults within the Airflow source code if no other value is provided. Performance Tuning data-engineering/airflow/airflow.cfg at main - GitHub The airflow
