snowflake.core.task.dagv1.DAGOperation¶
- class snowflake.core.task.dagv1.DAGOperation(schema: SchemaResource)¶
- Bases: - object- APIs to manage task graph child task operations. - Methods - deploy(dag: DAG, mode: CreateMode = CreateMode.error_if_exists) None¶
- Deploys (create) this task graph including all child tasks under a specific schema in Snowflake. - Parameters:
- dag (The - DAGinstance.)
- mode (CreateMode, optional) – - One of the following strings. - CreateMode.error_if_exists: Throw an- snowflake.core.exceptions.ConflictErrorif the task already exists in Snowflake. Equivalent to SQL- create task <name> ....- CreateMode.or_replace: Replace if the task already exists in Snowflake. Equivalent to SQL- create or replace task <name> ....- CreateMode.if_not_exists: Do nothing if the task already exists in Snowflake. Equivalent to SQL- create task <name> if not exists...- Default value is - CreateMode.error_if_exists.
 
 
 - drop(dag: DAG | str, *, drop_finalizer: bool = False) None¶
- Remove a task graph and all child tasks. - Parameters:
- dag (Union[DAG, str]) – Name of the task graph to be dropped or a - DAGinstance.
- drop_finalizer (bool) – If true, a finalizer task will also be dropped if it exists. 
 
 - Examples - Drop a task graph: - >>> dag_op.drop("your-dag-name") 
 - get_complete_dag_runs(dag: DAG | str, *, error_only: bool = True) list[DAGRun]¶
- Get the complete task graph runs within 60 minutes in Snowflake. - Parameters:
- dag (Union[DAG, str]) – The task graph to get the task graph runs. 
- error_only (bool, optional) – If True, only return the task graph runs that have failed. Default is True. 
 
 - Examples - Get the complete task graph runs: - >>> dag_op.get_complete_dag_runs("your-dag-name") 
 - get_current_dag_runs(dag: DAG | str) list[DAGRun]¶
- Get the current task graph runs or next schedule dag run for next 8 days in Snowflake. - Parameters:
- dag (Union[DAG, str]) – The task graph to get the task graph runs. 
 - Examples - Get the current task graph runs: - >>> dag_op.get_current_dag_runs("your-dag-name") 
 - iter_dags(*, like: str) list[str]¶
- Return the task graph names under this schema. - Parameters:
- like (str) – A case-insensitive string functioning as a filter, with support for SQL wildcard characters (% and _). 
 - Examples - Get all task graph names under the schema: - >>> dags = dag_op.iter_dags(like="your-dag-name") 
 - run(dag: DAG | str, *, retry_last: bool = False) None¶
- Execute the task graph once without waiting for the schedule. - It resumes the task graph then executes it. - Parameters:
- retry_last (bool, optional) – Re-execute the last failed task of the task graph. Default is False. 
 - Examples - Run a task graph: - >>> dag_op.run("your-dag-name")