database-review

To fix N+1 queries and database performance issues, review your code for inefficient loops triggering multiple queries, missing indexes on WHERE and JOIN columns, and poor transaction handling to pinpoint slow API response times.

Common query patterns causing slow API responses include N+1 queries in loops, missing indexes on filtered columns, unoptimized transaction handling, improper connection pooling, and inefficient practices like SELECT * or missing LIMIT clauses.

Yes, you can review both SQL and ORM layers for database optimization. The analysis assesses code-level query patterns across both layers to identify missing indexes, poor transaction management, and inefficient connection pooling configurations.

Yes, this database code review checks for missing indexes on WHERE, JOIN, and ORDER BY columns, and verifies that connection pooling is configured correctly to handle database load efficiently without deadlocks.

You should review transaction handling in your database code when preparing for scaling, debugging performance issues, or ensuring data integrity. Proper transaction management prevents deadlocks and optimizes slow database operations.