Optimize MongoDB Query Performance

Approach: In this project, we discussed how to optimize MongoDB query performance for large collections. When collections grow large, APIs can become slow due to: full collection scans large payload sizes unnecessary document processing To improve performance, we implemented multiple optimization techniques: Indexes We added indexes on frequently queried fields like name and email. Pagination Instead of loading all users, we used skip() and limit() to fetch data page by page. Field Selection Using .select() helps fetch only required fields. lean() Using .lean() improves performance by returning plain JavaScript objects instead of full Mongoose documents. These optimizations improve: response speed memory usage scalability Tech Stack: MongoDB Mongoose Node.js Express.js Key Concepts Covered: MongoDB Indexing Pagination Query Optimization lean() Backend Performance GitHub: https://github.com/DhruvOzha85 Portfolio: https://dhruvozha-portfolio.vercel.app/ LinkedIn: https://www.linkedin.com/in/dhruv-ozha-bb378639b/ #mongodb #mongoose #backend #nodejs #queryoptimization #database #coding #webdevelopment #100daysofcode mongodb query optimization mongoose performance optimization mongodb indexing tutorial backend optimization large collection mongodb mongodb pagination lean mongoose example