<aside> 📚 📁 Category: Backend

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Overview

Database optimization improves query performance, reduces resource usage, and ensures your application can scale. Learn indexing, query optimization, and schema design best practices.

<aside> ℹ️ Why It Matters: Understanding Database Optimization is essential for building robust, scalable, and secure modern applications.

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Key Concepts

• [x] Index Optimization - B-Tree, Hash, Full-Text indexes
• [x] Query Optimization - Execution plans and query rewriting
• [x] Normalization vs Denormalization tradeoffs
• [x] Connection Pooling - Reuse database connections
• [x] Database Partitioning - Horizontal and vertical
• [x] Sharding - Distribute data across multiple databases
• [x] Read Replicas - Scale read operations
• [x] Query Caching - Cache frequent queries

Common Use Cases

<aside> 💡 Where to Apply Database Optimization

                        Slow query optimization
                        Handling millions of records
                        High-traffic applications
                        Real-time analytics
                        E-commerce product catalogs
                        Social media feeds
                        Reporting and dashboards

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Best Practices

• [x] Index columns used in WHERE, JOIN, ORDER BY
• [x] Avoid SELECT * - query only needed columns
• [x] Use EXPLAIN/EXPLAIN ANALYZE to analyze queries
• [x] Batch insert operations when possible