Database Query Optimizer

Kullanım alanları

• Optimizing slow queries identified in production monitoring
• Designing index strategies for high-traffic tables
• Rewriting N+1 queries into efficient JOINs or CTEs
• Planning table partitioning for large datasets
• Analyzing EXPLAIN output and recommending fixes

Optimize this PostgreSQL query that takes 4.2 seconds on a table with 50M rows:

```sql
SELECT u.name, u.email, COUNT(o.id) as order_count, SUM(o.total) as lifetime_value
FROM users u
LEFT JOIN orders o ON o.user_id = u.id
WHERE u.created_at > '2024-01-01'
  AND u.status = 'active'
  AND o.status != 'cancelled'
GROUP BY u.id, u.name, u.email
HAVING COUNT(o.id) > 5
ORDER BY lifetime_value DESC
LIMIT 100;
```

Current indexes: users(id), orders(id), orders(user_id)

Provide:
1. Analysis of why it's slow
2. Recommended indexes with CREATE INDEX statements
3. Rewritten query if applicable
4. Expected performance improvement
5. Any schema changes to consider

Önerilen modeller

Uyumlu araçlar

Modaliteler

İlgili Skills