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
: You can override any config setting using the format AIRFLOW__{SECTION}__{KEY} (e.g., AIRFLOW__CORE__PARALLELISM ). airflow.cfg : The settings defined in the physical file.
: Contains foundational settings like dags_folder (where Airflow scans for workflows) and executor (the mechanism that actually runs your tasks, such as SequentialExecutor or CeleryExecutor ).
While airflow.cfg is the primary configuration file, Airflow follows a specific order of precedence for settings:
: Configures the connection to the metadata database where Airflow stores state information about tasks and DAG runs. Precedence and Overrides
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