From 349b9ce51a53b9d1af3bf959ae5f39c367dd3d7b Mon Sep 17 00:00:00 2001 From: Tim Paine <3105306+timkpaine@users.noreply.github.com> Date: Sat, 24 Aug 2024 17:52:00 -0400 Subject: [PATCH] add docs --- README.md | 57 +++++++++++++++++++++++++++++++++++++++++++++++ docs/src/top.png | Bin 0 -> 160181 bytes 2 files changed, 57 insertions(+) create mode 100644 docs/src/top.png diff --git a/README.md b/README.md index 46fd9fb..98ad663 100644 --- a/README.md +++ b/README.md @@ -9,6 +9,63 @@ High Availability (HA) DAG Utility ## Overview +This library provides an operator called `HighAvailabilityOperator`, which inherits from `PythonSensor` and does the following: + +- runs a user-provided `python_callable` as a sensor + - if this returns `"done"`, mark the DAG as passed and finish + - if this returns `"running"`, keep checking + - if this returns `"failed"`, mark the DAG as failed and re-run +- if the sensor times out, mark the DAG as passed and re-run + +Consider the following DAG: + +```python +from datetime import datetime, timedelta +from random import choice + +from airflow import DAG +from airflow.operators.python import PythonOperator +from airflow_ha import HighAvailabilityOperator + + +with DAG( + dag_id="test-high-availability", + description="Test HA Operator", + schedule=timedelta(days=1), + start_date=datetime(2024, 1, 1), + catchup=False, +): + ha = HighAvailabilityOperator( + task_id="ha", + timeout=30, + poke_interval=5, + python_callable=lambda **kwargs: choice(("done", "failed", "running", "")) + ) + + pre = PythonOperator(task_id="pre", python_callable=lambda **kwargs: "test") + pre >> ha + + fail = PythonOperator(task_id="fail", python_callable=lambda **kwargs: "test") + ha.failed >> fail + + passed = PythonOperator(task_id="passed", python_callable=lambda **kwargs: "test") + ha.passed >> passed + + done = PythonOperator(task_id="done", python_callable=lambda **kwargs: "test") + ha.done >> done +``` + +This produces a DAG with the following topology: + + + +This DAG exhibits cool behavior. +If a check fails or the interval elapses, the DAG will re-trigger itself. +If the check passes, the DAG will finish. +This allows the one to build "always-on" DAGs without having individual long blocking tasks. + +This library is used to build [airflow-supervisor](https://github.com/airflow-laminar/airflow-supervisor), which uses [supervisor](http://supervisord.org) as a process-monitor while checking and restarting jobs via `airflow-ha`. + ## License This software is licensed under the Apache 2.0 license. 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