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¶
-
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: DAG, session: Optional[Session] = None, conf: Optional[Dict] = None, propagate_skipped_state: Optional[SkippedStatePropagationOptions] = 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 – the DAG object to run as a subdag of the current DAG.
session – sqlalchemy session
conf (dict) – Configuration for the subdag
propagate_skipped_state – 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.