Database Optimization Tips for High-Traffic PHP Applications
When Queries Slow Down
As your application grows, database performance becomes critical. Here are battle-tested optimization techniques.
Indexing Strategy
- Add indexes on columns used in WHERE clauses
- Use composite indexes for multi-column queries
- Avoid over-indexing (slows down writes)
Query Optimization
-- Use EXPLAIN to analyze queries
EXPLAIN SELECT * FROM users WHERE email = "test@example.com";
-- Avoid SELECT *
SELECT id, name, email FROM users WHERE active = 1;
-- Use LIMIT for pagination
SELECT * FROM posts ORDER BY created_at DESC LIMIT 10 OFFSET 20;
Caching Strategies
- Query Cache: Cache frequent query results
- Redis/Memcached: In-memory caching
- Application Cache: Cache computed values
Connection Pooling
Use persistent connections for high-traffic applications:
$pdo = new PDO($dsn, $user, $pass, [
PDO::ATTR_PERSISTENT => true
]);
A well-optimized database is the foundation of a fast application.
Tags:
mysql
database
performance
optimization
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