☁️dbt Cloud integration

Import your dbt Cloud models into Count

Create and configure a dbt Cloud integration

In an existing database connection, select Manage connection, then select the dbt tab.

To connect you will need:

• An Access URL for your dbt Cloud account
• An API token for a user/service account with the following permissions

  • Read-only

  • Metadata only

• An account that conforms to the dbt Cloud metadata API prerequisites

Generate a Service token in dbt Cloud with the appropriate permissions.

Once your credentials have been verified, you will first need to select a dbt Cloud account to use, after which your dbt Cloud jobs will be listed.

For each job, Count can extract dbt metadata by reading the manifest.json and/or run_results.json files for a particular step in that job. These files are referred to by dbt as Artifacts, and contain information about your models and tests.

Your dbt Cloud jobs, steps and artifacts.

You should select artifacts for each job depending on the information you would like to view in Count:

• If the step involves dbt build or dbt compile (for example) then Count will have access to raw and compiled SQL if you select manifest.json.

• If the step involves dbt build or dbt test (for example) then Count will have access to test results if you select run_results.json.

In most cases, it will probably suffice to find the single step that performs dbt build and select both the manifest and run results from that step.

Once you have selected the appropriate artifacts, click Finish setup and Count will request these files from dbt Cloud. When the metadata has been retrieved successfully, a message will be displayed at the bottom of the page:

Troubleshooting

See our Learn centre for frequently asked questions & how to guides on our dbt integrations.