Database Optimization Development Tutorials, Guides & Insights

• Use eager loading to eliminate N+1 issues.
• Process large datasets with chunking or lazy collections to avoid memory exhaustion.
• Optimize queries with indexes, caching, and query restructuring.
• Test and monitor queries regularly to ensure scalability and performance.

Optimizing large database queries in Laravel is essential for scalable applications. By leveraging tools like eager loading, chunking, and caching, and applying best practices like adding indexes and profiling queries, you can significantly improve performance and handle large datasets efficiently.

The EXPLAIN command provides insights into how MySQL executes a query. It helps identify performance bottlenecks and areas for improvement.

EXPLAIN SELECT * FROM users WHERE user_id = 1;