确认MySQL数据库的连接参数是否正确。
确认在Airflow的DAG中使用的MySQL连接器是否存在,并确保该连接器已在Airflow中注册。
确保你的DAG文件中的路径和名称正确。
如果你的DAG文件中有如下代码:
# 将MySQL数据转移到CSV文件
def mysql_to_csv():
ti = kwargs['ti']
mysql_conn = MySqlHook(mysql_conn_id='mysql_conn_name').get_conn()
cursor = mysql_conn.cursor()
query = 'SELECT * FROM table_name'
cursor.execute(query)
results = cursor.fetchall()
csv_file = '/path/to/csv/file.csv'
with open(csv_file, 'w', newline='') as f:
writer = csv.writer(f)
writer.writerows(results)
ti.xcom_push(key='csv_file', value=csv_file)
你可以通过以下方法将其改为工作的代码:
# 将MySQL数据转移到CSV文件
def mysql_to_csv():
ti = kwargs['ti']
mysql_conn = MySqlHook(mysql_conn_id='mysql_conn_name').get_conn()
cursor = mysql_conn.cursor()
query = 'SELECT * FROM table_name'
cursor.execute(query)
results = cursor.fetchall()
csv_file = '/path/to/csv/file.csv'
with open(csv_file, 'w', newline='', encoding='utf-8') as f:
writer = csv.writer(f)
writer.writerows(results)
ti.xcom_push(key='csv_file', value=csv_file)
重点是添加了utf-8编码。