dag = DAG('my_dag', start_date=datetime(2022, 1, 1), schedule_interval='@daily') 创建一个PythonOperator任务,将类的方法作为可调用函数传递给任务。 代码语言:txt 复制 def capture_return_value(): return_value = my_object.get_value() print(return_value) task = PythonOperator( task...
return_value = self.main() context[self.task_id].xcom_push(key='return_value', value=return_value) return puls # Defining the plugin class class PlusPlugin(AirflowPlugin): name = "plus_plugin" operators = [PlusOperator] 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. ...
PythonOperator-(airflow.operators.python.PythonOperator) 调用Python函数 EmailOperator-(airflow.operators.email_operator.EmailOperator) 发送邮件 MySqlOperator-(airflow.providers.mysql.operators.mysql.MySqlOperator) 在MySQL中执行SQL脚本 ... Sensor/传感器 TASK的一种特殊Operator类型,由时间或事件触发。 例如我...
虽然Guido 明确表明,Python 的目标不是变成函数式编程语言,但是得益于 operator 和 functools 等包的支持,函数式编程风格也可以信手拈来。接下来的两节分别介绍这两 个包。 1.functools 示例1 使用 reduce 函数和一个匿名函数计算阶乘 from functools import reduce def fact(n): return reduce(lambda a, b: a*...
BaseOperator中常用参数如下: task_id(str): 唯一task_id标记 owner(str):任务的所有者,建议使用linux用户名 email(str or list[str]):出问题时,发送报警Email的地址,可以填写多个,用逗号隔开。 email_on_retry(bool):当任务重试时是否发送电子邮件
process_task = PythonOperator( task_id='process_data', python_callable=process_data ) # 设置执行顺序 download_data >> process_task 实用技巧:使用XCom在任务间传递数据: def push_data(**context): context['task_instance'].xcom_push(key='data_key', value='some_value') ...
Fix param order in PythonOperator docstring (#40122) Update serializers.rst to mention that bytes are not supported (#40597) Miscellaneous Upgrade build installers and dependencies (#40177) Bump braces from 3.0.2 to 3.0.3 in /airflow/www (#40180) ...
{base_task_runner.py:115} INFO - Job759619: Subtask mongodb2hdfs_7d4ce1b2d8d84e82a6421472ce3bef48 /usr/local/lib/python3.7/site-packages/airflow/configuration.py:226: FutureWarning: The task_runner settingin[core] has the olddefaultvalue of'BashTaskRunner'. This value has been changed ...
=value_1:raiseValueError(f'The two values differ {pulled_value_1} and {value_1}')ifpulled_value_2 !=value_2:raiseValueError(f'The two values differ {pulled_value_2} and {value_2}') push1=PythonOperator( task_id='push', dag=dag,...
And inside run python operator which runs ProcessPoolExecutor from concurrent.futures Anything else we need to know: This problem occurs every time I run python operator with multiprocessing. I have searched everywhere without any luck. There seems to be a similar error when using Celery Executor ...