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This template creates a Bolt schedule that automatically executes dbt™ model builds and tests when a new pull request is opened against your main branch. It builds and tests only the models affected by your code changes in a temporary schema, ensuring data quality before merging into production.
Key Benefits
  • Automatically validate dbt™ model changes in a pull request
  • Build and test only modified models and their downstream dependencies
  • Run validation in a temporary schema to avoid impacting production
  • Get immediate feedback on pull request status through Paradime integration
Prerequisites
  • Scheduler Environment is connected to your data warehouse provider with a dedicated target named ci
  • Paradime Github app is installed and authorize access to the dbt™️ repository used in Paradime. Not on GitHub? Check our Turbo CI guide for other Git Provider providers.

Default Configuration

Schedule Settings

Command Settings

The template uses a single command optimized for pull request validation:
  • dbt build --select state:modified+ --target ci: This builds only the models that have been modified in the pull request, along with their downstream dependencies, in the “ci” target environment.

Trigger Type

  • Type: Scheduled Run (Cron)
  • Cron Schedule: OFF (This schedule will be triggered by a new pull request event, not a cron schedule)
For custom Trigger configurations, see Trigger Types documentation.

Notification Settings

  • Email Alerts:
    • Success: Confirms models built and tested successfully
    • Failure: Alerts when models fail to build or tests fail
    • SLA Breach: Alerts if the run takes longer than 120 minutes
For custom notification configurations, see Notification Settings documentation.

When to Customize

Tailor this template to your specific needs:
  • Adjust Deferred Schedule to the production schedule you want Turbo CI to compare against for state changes.
    • Hourly checks for frequent data updates (0 * * * *)
    • Daily checks for standard reporting (0 0 * * *)
  • Modify command settings with the dbt™ commands to suit your testing requirements, such as running specific model selectors or additional tests.
  • Add more notifications destinations (Slack, MS Teams) to match your team’s workflows.
  • Customize Temporary Schema Naming via the dbt generate_schema_name.sql macro to handle the temporary schema prefix.