Best Practices for Syncraft Development

Syncraft's query engine offers a robust and flexible environment for data processing. Adhering to these best practices will help you harness its full potential while maintaining performance and readability.

1. Modularity and Reusability

• Design your pipelines to be modular and reusable. A modular design makes your pipelines easier to understand, test, and maintain.

2. Query Optimization

• Early Filtering: Apply filtering criteria as early as possible in your queries to minimize the data that needs to be processed.
• Selective Field Retrieval: Only retrieve the fields necessary for your use case to minimize data processing and transfer times.

3. Parallel Execution

• Whenever possible, prefer parallel execution over serial execution to improve performance and reduce query execution time.

4. Cross-Sync Joins

• Avoid many-to-one joins in cross-sync scenarios. Instead, try to reverse the query going one-to-many to ensure better performance and easier debugging.

5. Error Handling

• Implement comprehensive error handling within your pipelines to manage exceptions and unexpected scenarios gracefully.

6. Documentation

• Document your pipelines and queries inline to explain complex logic, assumptions, and other crucial information for team members.

7. Performance Monitoring

• Regularly benchmark your pipelines and optimize based on the benchmarking results for better performance and efficiency.

8. Continuous Improvement

• Stay updated with the latest features and optimizations in Synccraft, and continuously look for opportunities to refactor and optimize your pipelines.

By adhering to these best practices, you'll be well on your way to developing efficient, reliable, and maintainable data processing pipelines within Syncraft.