airflow.models.dagrun¶
Module Contents¶
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class airflow.models.dagrun.DagRun[source]¶
- Bases: - airflow.models.base.Base,- airflow.utils.log.logging_mixin.LoggingMixin- DagRun describes an instance of a Dag. It can be created by the scheduler (for regular runs) or by an external trigger - 
refresh_from_db(self, session=None)[source]¶
- Reloads the current dagrun from the database :param session: database session 
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static find(dag_id=None, run_id=None, execution_date=None, state=None, external_trigger=None, no_backfills=False, session=None)[source]¶
- Returns a set of dag runs for the given search criteria. - Parameters
- run_id (str) – defines the the run id for this dag run 
- execution_date (datetime.datetime) – the execution date 
- state (str) – the state of the dag run 
- external_trigger (bool) – whether this dag run is externally triggered 
- no_backfills (bool) – return no backfills (True), return all (False). Defaults to False 
- session (sqlalchemy.orm.session.Session) – database session 
 
 
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get_task_instances(self, state=None, session=None)[source]¶
- Returns the task instances for this dag run 
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get_task_instance(self, task_id, session=None)[source]¶
- Returns the task instance specified by task_id for this dag run - Parameters
- task_id – the task id 
 
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get_previous_scheduled_dagrun(self, session=None)[source]¶
- The previous, SCHEDULED DagRun, if there is one 
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update_state(self, session=None)[source]¶
- Determines the overall state of the DagRun based on the state of its TaskInstances. - Returns
- State 
 
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verify_integrity(self, session=None)[source]¶
- Verifies the DagRun by checking for removed tasks or tasks that are not in the database yet. It will set state to removed or add the task if required. 
 
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