JUDO Query Optimization

About

The JUDO Query Optimization skill provides specialized guidance for improving the performance of the JUDO runtime. It helps developers diagnose slow queries by identifying the optimal use of embedded joins versus subselects, managing query caching for static and dynamic navigations, and tuning expression evaluation precision. By addressing common performance anti-patterns like N+1 queries and circular aggregations, this skill ensures that data-intensive applications built on the JUDO platform remain performant and scalable.

Key Features

• Expression optimization and efficient measure conversion scaling
• 0 GitHub stars
• Query caching management for transfer objects and static navigations
• Detection and resolution of N+1 query and circular aggregation patterns
• Automated join strategy selection between Embedded JOINs and SubSelects
• SubSelect aggregation placement to prevent row multiplication

Use Cases

• Tuning expression evaluation precision and scale for high-performance measure conversions
• Implementing complex data navigation paths using CustomJoinDefinitions and batch loading
• Diagnosing and resolving performance bottlenecks in slow JUDO database queries