在Airflow中,可以使用ShortCircuitOperator
和BranchPythonOperator
来实现在SLA未达成的情况下停止当前DAG的执行。下面是一个示例代码:
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import ShortCircuitOperator, BranchPythonOperator
default_args = {
'owner': 'airflow',
'start_date': datetime(2022, 1, 1),
'retries': 0,
}
def check_sla(execution_date, sla):
# 根据特定逻辑检查SLA是否达成,返回True或False
# 可以根据自己的需求修改此函数
return False
def stop_dag(execution_date, **kwargs):
# 在SLA未达成的情况下停止DAG的执行
dag_run = kwargs['dag_run']
dag_run.set_state('failed')
dag = DAG('my_dag', schedule_interval='@daily', default_args=default_args)
start = DummyOperator(task_id='start', dag=dag)
check_sla_task = ShortCircuitOperator(
task_id='check_sla',
python_callable=check_sla,
op_kwargs={'sla': timedelta(hours=1)}, # 设置SLA时间
provide_context=True,
dag=dag,
)
stop_dag_task = BranchPythonOperator(
task_id='stop_dag',
python_callable=stop_dag,
provide_context=True,
dag=dag,
)
end = DummyOperator(task_id='end', dag=dag)
start >> check_sla_task >> stop_dag_task >> end