Custom Deployment
While the Deployment via Makefile offers a structured and recommended approach for deploying S2V-generated SQL code, there might be scenarios where a custom deployment strategy is preferred or necessary.
Custom deployment typically involves executing the generated SQL files on an on-demand basis, outside the provided Makefile orchestration. This can be suitable for:
- Manual Execution: Directly running individual SQL scripts or batches of scripts using a SQL client like SnowSQL or your preferred database IDE. This might be used for quick fixes, targeted updates, or during initial development and testing phases.
- Integration with Existing CI/CD Pipelines: If you have an established CI/CD pipeline that uses tools other than Make (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions), you can integrate the execution of the S2V-generated SQL scripts into your existing workflows. This would involve scripting the deployment steps using your pipeline's native capabilities.
- Using Other Orchestration Tools: Employing different workflow orchestration tools (e.g., Apache Airflow, Prefect) to manage the sequence and execution of SQL scripts.
Considerations for Custom Deployment:
- Dependency Management: You will be responsible for ensuring that SQL scripts are executed in the correct order, especially when deploying objects with dependencies (e.g., Hubs before Links, base tables before views). The generated Makefile often handles this sequencing, which you would need to replicate.
- Configuration Management: Connection details, variable substitutions (like database names, warehouse names), and other configurations managed by the
.inifile in the Makefile approach will need to be handled by your custom process. - Error Handling and Logging: Implementing robust error handling and logging mechanisms will be crucial for troubleshooting and monitoring your custom deployments.
Custom deployment provides maximum flexibility but requires careful planning to ensure reliability and maintainability.