要通過Airflow監(jiān)控MySQL數(shù)據(jù)庫狀態(tài),可以使用Airflow的Sensor來定期檢查數(shù)據(jù)庫的狀態(tài)。以下是一種可能的方法:
from airflow.sensors.base_sensor_operator import BaseSensorOperator
from airflow.hooks.mysql_hook import MySqlHook
from datetime import datetime
class MySQLSensor(BaseSensorOperator):
def __init__(self, mysql_conn_id, *args, **kwargs):
super(MySQLSensor, self).__init__(*args, **kwargs)
self.mysql_conn_id = mysql_conn_id
def poke(self, context):
mysql_hook = MySqlHook(mysql_conn_id=self.mysql_conn_id)
conn = mysql_hook.get_conn()
cursor = conn.cursor()
cursor.execute("SELECT 1")
result = cursor.fetchall()
cursor.close()
conn.close()
return bool(result)
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator
from datetime import datetime, timedelta
from MySQLSensor import MySQLSensor
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'start_date': datetime(2021, 1, 1),
'email_on_failure': False,
'email_on_retry': False,
'retries': 1,
'retry_delay': timedelta(minutes=5),
}
dag = DAG('monitor_mysql_database', default_args=default_args, schedule_interval=timedelta(minutes=5))
start = DummyOperator(task_id='start', dag=dag)
check_mysql = MySQLSensor(task_id='check_mysql', mysql_conn_id='mysql_conn', poke_interval=30, timeout=60, dag=dag)
end = DummyOperator(task_id='end', dag=dag)
start >> check_mysql >> end
在上面的例子中,我們創(chuàng)建了一個名為monitor_mysql_database
的DAG,其中包含了一個check_mysql
任務,該任務會定期檢查名為mysql_conn
的MySQL連接的狀態(tài)??梢愿鶕?jù)實際需求修改Sensor的邏輯和DAG的配置。