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The main DAG file is located at aiinfraexample/exampledag.py. This DAG is comprised of 4 tasks/stages each comprised of Python source you will find in the aiinfraexample/utils folder. The aiinfraexample/exampleconf.json is the base configuration that is passed to each of the task/stages from the main DAG file. Open ODSU Info. In the Airflow console, switch the DAG called example_bash_operator to "On" state and click the <<Trigger now>> button under the links on the right side to trigger the workflow. As you trigger the DAG, Airflow will create pods to execute the code included in the DAG. You can see pods running on the Spot-backed managed node group using kubectl:. Search: Airflow Dag Examples Github. The script ended with success, Airflow DAG reported success Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks subdag # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements A Dag consists of operators Among those DAGs, we gonna particularly focus on the one named example_kubernetes.