Cursor database

N+1 Query Problem After Cursor ORM Refactoring

After Cursor refactored your ORM queries, page load times increased dramatically. Database logs show hundreds of queries for operations that previously took just a few.

The AI-generated code is fetching related entities one-by-one instead of in batch, causing the classic N+1 problem.

Error Messages You Might See

Query timeout High database load Slow response time Too many queries
Query timeoutHigh database loadSlow response timeToo many queries

Common Causes

  1. Removed eager loading (include/joins), forcing lazy loading in loops
  2. Fetching parent objects, then accessing child collections in template/code loop
  3. Using ORM methods inside loops instead of batch operations
  4. Relationship configuration changed to lazy-load by default
  5. Query builder include statement removed during refactoring

How to Fix It

Use eager loading: User.findAll({include: ['Posts', 'Comments']}) or joins. Batch operations outside loops. Use dataloader pattern for GraphQL. Monitor with console.time() around queries and count DB hits.

Real developers can help you.

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Frequently Asked Questions

How do I detect N+1 problems?

Enable query logging and count queries. N+1 means 1 query + N more. Use DevTools to see query count.

Is it always better to use joins?

Joins are faster but more memory. Sometimes batch separate queries. Test both approaches.

Related Cursor Issues

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