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database
Cascade Generated N+1 Query Problem
Database performance degraded after Cascade refactored data access code. Logs show hundreds of individual SELECT queries being executed instead of efficient batch loading. A single parent query triggers N queries for children.
Cascade likely generated loops that fetch entities individually instead of using batch loading or join strategies.
Error Messages You Might See
Slow database query detected
Query timeout: SELECT took 30000ms
Duplicate entities in result set from join
Common Causes
- Cascade generated code that loops over results and calls repository methods inside loop
- Lazy-loaded collections accessed without join fetch in initial query
- Service methods iterate children without prefetching relationships
- Cascade removed .fetch(FetchType.JOIN) from existing JPQL queries
How to Fix It
Use JOIN FETCH in JPQL queries to eagerly load relationships. Replace loops with batch operations. Use @Query with explicit join strategies. Enable SQL logging to visualize query patterns. Consider pagination to limit data size.
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Get HelpFrequently Asked Questions
How do I detect N+1 queries?
Enable hibernate.generate_statistics and log SessionStatistics to count queries. Or use query profiling tools.
Should I use eager loading everywhere?
No, be selective. Use eager loading for data accessed in transaction, lazy for optional relationships.