(python36) [root@localhost airflow]# airflow config get-value shard_code_upper_limit usage: airflow config get-value [-h] section option Print the value of the configuration positional arguments: section The section name option The option name optional arguments: -h, --help show this help ...
schedule_interval='0 1 * * *', catchup=False, description='Stream random names to Kafka topic', max_active_runs=1 ) as dag: # Defining the data streaming task using PythonOperator kafka_stream_task = PythonOperator( task_id='stream_to_kafka_task', python_callable=initiate_stream, dag=...
这是代码: dag_name = platform + "_" + report['table'] dag = DAG( dag_name, catchup=True, default_args=default_args, schedule_interval=report['schedule'] ) with dag: trigger_report = PythonOperator( task_id=dag.dag_id + '_trigger_report', python_callable=trigger_report, provide_cont...
问AirFlowException - Python_Callable必须是可调用的EN我对现有的工作流做了一个小小的修改，它破坏了...
callable的函数名有括号，也会发生这个错误，所以，如果你的函数是abc（），你应该传递python_callable=...
callable的函数名有括号，也会发生这个错误，所以，如果你的函数是abc（），你应该传递python_callable=...
5.tgz #进入解压后的文件目录下 cd /root/Python-3.6.5 #检测及校验平台 ./configure --with-ssl --prefix=/service/python3 #编译Python源代码 make #安装Python make install #备份原来的Python软连接 mv /usr/bin/python /usr/bin/python2.backup #制作新的指向Python3的软连接 ln -s /service/python...
python_callable = get_datasets, dag = dag ) t5 = PythonOperator( task_id = 'job', python_callable run_job, dag = dag ) for element in instance_v: t4 = PythonOperator ( task_id = 'create_job_' + str(element), op_kwargs={"org":org_. ,"team": team_, "ace": ac...
(element))}, python_callable=create_job, dag = dag ) t1 >> t2 >> t3 >> t4 >> t5 Key functions being used in the tasks include: def find_api_key(ti): expanded_conf_file_path = os.path.expanduser("~/.ngc/config") if os.path.exists(expanded_conf_file_path): print("Config ...
在airflow 2.0以后,因为task的函数跟python常规函数的写法一样,operator之间可以传递参数,但本质上还是使用XComs,只是不需要在语法上具体写XCom的相关代码。 Trigger Rules:指task的触发条件。默认情况下是task的直接上游执行成功后开始执行,airflow允许更复杂的依赖设置,包括all_success(所有的父节点执行成功),all_...