Luckily, Airflow supports a handy parameter: on_failure_callback, which will trigger a user-provided callback function with a context dictionary full of task run information. For example, below is a callback function that sends a detailed Slack alert upon task failure:
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Nov 16, 2020 · In this article, I show how to use the SSHHook in a PythonOperator to connect to a remote server from Airflow using SSH and execute a command.. First, I have to define the SSH connection in Airflow because I will pass the connection parameters using the Airflow connection id instead of defining the host, port, username, and password in the Python code.
Apache Airflow is great for coordinating automated jobs, and it provides a simple interface for sending email alerts when these jobs fail. Typically, one can request these emails by setting email_on_failure to True in your operators.
on_failure_callback (callable) – a function to be called when a task instance of this task fails. a context dictionary is passed as a single parameter to this function. Context contains references to related objects to the task instance and is documented under the macros section of the API.
이전 python - Apache Airflow DAG는 on_success_callback 및 on_failure_callback을 호출하지 않습니다 다음 kubernetes - KONG에서 여러 서비스 등록 및 파일 경로 설정 관련 질문
:param on_failure_callback: A function to be called when a DagRun of this dag fails. A context dictionary is passed as a single parameter to this function.:type on_failure_callback: callable:param on_success_callback: Much like the ``on_failure_callback`` except: that it is executed when the dag succeeds.:type on_success_callback: callable
AIRFLOW-1490 In order to get details on exceptions thrown by tasks, the onfailure callback needs an enhancement. Resolved