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Database Optimization Strategies

Improve your application performance with these database optimization techniques for PostgreSQL and MySQL.

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Database Optimization Strategies

Database Optimization Strategies

Improve your application performance with these database optimization techniques.

Indexing Strategies

B-Tree Indexes

The most common index type, ideal for equality and range queries:

CREATE INDEX idx_users_email ON users (email);
CREATE INDEX idx_posts_published ON posts (published_at DESC) WHERE status = 'published';

Composite Indexes

For queries that filter on multiple columns:

CREATE INDEX idx_orders_user_date ON orders (user_id, created_at DESC);

Query Optimization

EXPLAIN ANALYZE

Always analyze your queries:

EXPLAIN ANALYZE
SELECT p.*, u.name as author_name
FROM posts p
JOIN users u ON p.author_id = u.id
WHERE p.status = 'published'
ORDER BY p.published_at DESC
LIMIT 10;

Avoid N+1 Queries

Use JOIN or batch loading:

// ❌ N+1 problem
const posts = await db.select().from(postsTable)
for (const post of posts) {
  const author = await db.select().from(users).where(eq(users.id, post.authorId))
}

// βœ… Single query with JOIN
const postsWithAuthors = await db
  .select()
  .from(postsTable)
  .leftJoin(users, eq(postsTable.authorId, users.id))

Connection Pooling

Configure your connection pool based on your workload:

const pool = new Pool({
  max: 20,                    // Max connections
  idleTimeoutMillis: 30000,   // Close idle connections after 30s
  connectionTimeoutMillis: 5000, // Wait max 5s for connection
})

Caching Strategies

Application-Level Caching

import { Redis } from 'ioredis'

const redis = new Redis(process.env.REDIS_URL)

async function getPost(slug: string) {
  const cached = await redis.get(`post:${slug}`)
  if (cached) return JSON.parse(cached)

  const post = await db.select().from(posts).where(eq(posts.slug, slug))
  await redis.setex(`post:${slug}`, 3600, JSON.stringify(post))
  return post
}

Conclusion

Database optimization is an ongoing process. Start with proper indexing, analyze your queries, eliminate N+1 problems, use connection pooling, and add caching where appropriate. These strategies will significantly improve your application's performance and scalability.

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