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Version: 1.3.0 (latest)

Google Cloud Composer setup

CI/CD setup

This setup will allow you to deploy the main branch of your Airflow project from GitHub to Cloud Composer.

  • Create a GitHub repository, for example, by following our how-to guide on deployment for Airflow.

  • In the Google Cloud web interface, go to Source Repositories and create a repository that mirrors your GitHub repository. This will simplify authentication by using this mirroring service.

  • In Cloud Build, add a trigger on commit to the main branch.

  • Point it to your Cloud Build file. In our example, we place our file at build/cloudbuild.yaml.

    trigger-config

  • Go to Cloud Composer, click on the dags folder, and get the bucket name.

    test-composer

  • In your cloudbuild.yaml, set the bucket name.

  • Make sure your repository code is pushed to the main branch.

  • Run the trigger you built (in Cloud Build).

  • Wait a minute, and check if your files have arrived in the bucket. In our case, we added a pipedrive folder, and we can see it appeared.

    bucket-details

Airflow setup

Adding the libraries needed

Assuming you have already spun up a Cloud Composer:

  • Make sure the user you added has rights to change the base image (add libraries). I already had these added; you may get away with fewer (not clear in docs):

    • Artifact Registry Administrator;
    • Artifact Registry Repository Administrator;
    • Remote Build Execution Artifact Admin;
  • Navigate to your composer environment and add the needed libraries. In the case of this example pipedrive pipeline, we only need the sdf library, so add the dlt library.

    add-package

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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