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Airflow dbt Cloud

A quick start repo for creating Airflow dags to manage your dbt Cloud jobs.

Please see the dbt docs on Airflow and dbt Cloud for an in-depth step-by-step tutorial. Only the key concepts are included in this README.

Please see the dbt Cloud Airflow Provider docs for the most up-to-date details on the Airflow providers used in the example dags of this repo.

Getting Started

To use this repo you'll need:

  1. dbt Cloud Teams or Enterprise account (with admin access) in order to create a service token.
  2. Docker Desktop installed
  3. Astro CLI installed. On Mac use brew install astro.

Using this repo

After creating all the requisite accounts and installing Astro CLI, simply:

  • Clone this repo locally: gh repo clone dbt-labs/airflow-dbt-cloud
  • Create a dbt Cloud service token
  • Create a dbt Cloud job
  • Start your Astro container: astro dev start
  • Create a new dbt Cloud Airflow connection. To do this:
    • From the Airflow interface, navigate to Admin and click on Connections
    • Click on the + sign to add a new connection, then click on the drop down to search for the dbt Cloud Connection Type
    • Add in your connection details and your default dbt Cloud account id. This is found in your dbt Cloud URL after the accounts route section (/accounts/{YOUR_ACCOUNT_ID})
  • Update the code in the dags/ folder to use your Airflow connection, dbt account and dbt job information
  • Run your first dbt Cloud Airflow DAG 🎉

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