airflow.operators.trigger_dagrun
¶
Module Contents¶
Classes¶
Operator link for TriggerDagRunOperator. It allows users to access |
|
Triggers a DAG run for a specified |
Attributes¶
- class airflow.operators.trigger_dagrun.TriggerDagRunLink[source]¶
Bases:
airflow.models.baseoperator.BaseOperatorLink
Operator link for TriggerDagRunOperator. It allows users to access DAG triggered by task using TriggerDagRunOperator.
- get_link(operator, *, ti_key)[source]¶
Link to external system.
Note: The old signature of this function was
(self, operator, dttm: datetime)
. That is still supported at runtime but is deprecated.- Parameters
operator (airflow.models.abstractoperator.AbstractOperator) – airflow operator
ti_key (airflow.models.taskinstance.TaskInstanceKey) – TaskInstance ID to return link for
- Returns
link to external system
- Return type
- class airflow.operators.trigger_dagrun.TriggerDagRunOperator(*, trigger_dag_id, trigger_run_id=None, conf=None, execution_date=None, reset_dag_run=False, wait_for_completion=False, poke_interval=60, allowed_states=None, failed_states=None, **kwargs)[source]¶
Bases:
airflow.models.baseoperator.BaseOperator
Triggers a DAG run for a specified
dag_id
- Parameters
trigger_dag_id (str) – The dag_id to trigger (templated).
trigger_run_id (Optional[str]) – The run ID to use for the triggered DAG run (templated). If not provided, a run ID will be automatically generated.
conf (Optional[Dict]) – Configuration for the DAG run (templated).
execution_date (Optional[Union[str, datetime.datetime]]) – Execution date for the dag (templated).
reset_dag_run (bool) – Whether or not clear existing dag run if already exists. This is useful when backfill or rerun an existing dag run. When reset_dag_run=False and dag run exists, DagRunAlreadyExists will be raised. When reset_dag_run=True and dag run exists, existing dag run will be cleared to rerun.
wait_for_completion (bool) – Whether or not wait for dag run completion. (default: False)
poke_interval (int) – Poke interval to check dag run status when wait_for_completion=True. (default: 60)
allowed_states (Optional[List]) – List of allowed states, default is
['success']
.failed_states (Optional[List]) – List of failed or dis-allowed states, default is
None
.