Task instantiation: Each task is defined by calling an operator and providing necessary task-level parameters.DAG instantiation: A DAG object is created and any DAG-level parameters such as the schedule interval are set.It can also include provider packages or other general Python packages. This always includes a dag function import (either the DAG class or the dag decorator). Imports: Any needed Python packages are imported at the top of the DAG script.Most DAGs follow this general flow within a Python script: If you are working with the Astro CLI, DAG code is placed in the dags folder. Airflow will execute the code in this folder to load any DAG objects. Writing a DAG ĭAGs in Airflow are defined in a Python script that is placed in an Airflow project's DAG_FOLDER. DAG runs can be started by the Airflow scheduler based on the DAG's defined schedule, or they can be started manually.
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