Node.js Database Query Optimization

About

This skill provides specialized guidance for enhancing database efficiency within Node.js environments using popular ORMs like Prisma and Drizzle. It equips developers with strategies to eliminate N+1 query issues through DataLoader patterns, implement high-performance cursor-based pagination, and analyze query execution plans using EXPLAIN ANALYZE. By focusing on a 'measure first' approach, it helps reduce database CPU load and latency through strategic indexing, batch operations, and connection pooling best practices.

Key Features

• Efficient cursor-based pagination for high-performance data fetching
• N+1 query prevention with DataLoader and ORM-specific include patterns
• Strategic indexing strategies for WHERE, JOIN, and ORDER BY clauses
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• Query analysis and performance monitoring using EXPLAIN ANALYZE
• Optimized batch operations and connection pooling for high-throughput apps

Use Cases

• Refactoring slow-querying APIs to use scalable cursor pagination
• Implementing efficient data fetching patterns in GraphQL and REST services
• Reducing database CPU usage and latency in production Node.js backends