Add Callbacks Section to Logging & Monitoring #18842
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Airflow users often ask for an easy way to monitor the success or failure of tasks and/or DAGs. The use of callbacks, such as on_success_callback, helps users monitor DAG runs in an easily configurable way.
potiuk
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Oct 9, 2021
Added following note: Callback functions are only invoked when the task state changes due to execution by a worker. As such, task changes set by the command line interface (CLI) or user interface (UI) do not execute callback functions.
potiuk
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Oct 9, 2021
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The PR is likely ready to be merged. No tests are needed as no important environment files, nor python files were modified by it. However, committers might decide that full test matrix is needed and add the 'full tests needed' label. Then you should rebase it to the latest main or amend the last commit of the PR, and push it with --force-with-lease. |
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Airflow users often ask for an easy way to monitor the success or failure of tasks and/or DAGs. The use of callbacks, such as on_success_callback, helps users monitor DAG runs in an easily configurable way. This document provides an overview of available callbacks, linked to the relevant section in the Tasks document. It also provides a simple example of calling a function on any task failure in the DAG, as well as a separate function that is called upon the success of the last task in the DAG. (cherry picked from commit eae7b2e)
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Airflow users often ask for an easy way to monitor the success or failure of tasks and/or DAGs. The use of callbacks, such as on_success_callback, helps users monitor DAG runs in an easily configurable way.
This document provides an overview of available callbacks, linked to the relevant section in the Tasks document. It also provides a simple example of calling a function on any task failure in the DAG, as well as a separate function that is called upon the success of the last task in the DAG.