airflow.operators.subdag¶
This module is deprecated. Please use airflow.utils.task_group.
The module which provides a way to nest your DAGs and so your levels of complexity.
Module Contents¶
Classes¶
| Available options for skipped state propagation of subdag's tasks to parent dag tasks. | |
| This class is deprecated. | 
- class airflow.operators.subdag.SkippedStatePropagationOptions[source]¶
- Bases: - enum.Enum- Available options for skipped state propagation of subdag’s tasks to parent dag tasks. 
- class airflow.operators.subdag.SubDagOperator(*, subdag, session=NEW_SESSION, conf=None, propagate_skipped_state=None, **kwargs)[source]¶
- Bases: - airflow.sensors.base.BaseSensorOperator- This class is deprecated. Please use airflow.utils.task_group.TaskGroup. - This runs a sub dag. By convention, a sub dag’s dag_id should be prefixed by its parent and a dot. As in parent.child. Although SubDagOperator can occupy a pool/concurrency slot, user can specify the mode=reschedule so that the slot will be released periodically to avoid potential deadlock. - Parameters
- subdag (airflow.models.dag.DAG) – the DAG object to run as a subdag of the current DAG. 
- session (sqlalchemy.orm.session.Session) – sqlalchemy session 
- conf (dict | None) – Configuration for the subdag 
- propagate_skipped_state (SkippedStatePropagationOptions | None) – by setting this argument you can define whether the skipped state of leaf task(s) should be propagated to the parent dag’s downstream task. 
 
 
