当Airflow DAG的触发失败时,有几种可能的解决方法。以下是一些常见的解决方案,包括代码示例:
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
with DAG('my_dag', description='My Airflow DAG') as dag:
    task_1 = DummyOperator(task_id='task_1')
    task_2 = DummyOperator(task_id='task_2')
    
    task_1 >> task_2
import psycopg2
def check_database_connection():
    try:
        conn = psycopg2.connect(host="localhost", database="my_database", user="my_user", password="my_password")
        cursor = conn.cursor()
        cursor.execute("SELECT 1")
        result = cursor.fetchone()
        print("Database connection successful")
    except Exception as e:
        print("Database connection failed:", str(e))
check_database_connection()
airflow scheduler
可以使用以下命令检查Airflow执行器的运行情况:
airflow worker
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
with DAG('my_dag', description='My Airflow DAG', schedule_interval='@daily', start_date=datetime(2022, 1, 1)) as dag:
    task_1 = DummyOperator(task_id='task_1')
    task_2 = DummyOperator(task_id='task_2')
    
    task_1 >> task_2
airflow logs  --task_id  --dag_id  --execution_date 
    以上是一些常见的解决方法,可以帮助您解决Airflow DAG触发失败的问题。根据具体情况,您可能需要进一步调查和排除故障。