query-optimization

Slow queries often result from missing indexes, N+1 problems, or inefficient joins. Add indexes on frequently queried columns, use query logging to identify bottlenecks, and replace subqueries with joins to improve performance measurably.

An N+1 problem occurs when fetching one record triggers N additional queries for related data. Fix it by using joins or batch operations in Drizzle ORM to load all data in one or two queries instead of many separate calls.

Define indexes on columns used frequently in WHERE clauses and joins within your Drizzle schema. Run migrations to apply them to your database, then validate performance improvements using query timing logs.

Yes. Pagination with LIMIT and OFFSET reduces memory usage and network overhead by fetching smaller result sets. Combine it with indexes on sort columns to maintain fast query execution across large datasets.

Enable query logging in PostgreSQL to capture execution time and frequency. Profile slow queries using EXPLAIN ANALYZE, then prioritize optimization on the most frequently executed or slowest queries.

Yes. Drizzle ORM lets you select only the columns you need instead of fetching entire rows, reducing data transfer and improving query speed, especially on tables with many columns or large datasets.