Trigger and Monitor Airflow DAG Runs in Workflow Automation

• Automate the initiation of data processing tasks in Airflow.
• Monitor the status of DAG runs and handle errors effectively.
• Integrate Airflow with other applications for seamless data workflows.
• Customize DAG run configurations based on specific requirements.

Receive input parameters for the DAG run, including DAG ID and configuration. Trigger the DAG run in Airflow using an HTTP request. Monitor the state of the DAG run and wait for its completion. Handle different states such as queued, running, and success using conditional logic. Implement error handling for failed DAG runs and manage wait times.

1. 1
   Import the workflow template into your n8n instance.
2. 2
   Configure the Airflow credentials for authentication.
3. 3
   Set up the necessary input parameters for the DAG run.
4. 4
   Test the workflow to ensure it triggers and monitors DAG runs correctly.