Indexing Strategies for Read-Heavy Apps
A practical guide to indexing Strategies for Read-Heavy Apps — tips, best practices, and real-world examples.
# Indexing Strategies for Read-Heavy Apps
Proper indexing can make your app 100x faster.
## When to Index
- Columns in WHERE clauses
- Columns in JOIN conditions
- Columns in ORDER BY
- Columns in GROUP BY
## Index Types
### Single Column
```sql
CREATE INDEX idx_users_email ON users(email);
```
### Composite
```sql
CREATE INDEX idx_posts_author_status ON posts(user_id, status);
```
### Covering
Include all queried columns:
```sql
CREATE INDEX idx_posts_covering ON posts(user_id, status, published_at);
```
## Common Mistakes
1. **Too many indexes** — slow writes
2. **Wrong order** — composite indexes need proper column order
3. **Unused indexes** — monitor and remove
## Monitoring
```sql
-- Find unused indexes (PostgreSQL)
SELECT * FROM pg_stat_user_indexes WHERE idx_scan = 0;
```
## Conclusion
Strategic indexing is essential for read-heavy applications. Measure, don't guess!
Proper indexing can make your app 100x faster.
## When to Index
- Columns in WHERE clauses
- Columns in JOIN conditions
- Columns in ORDER BY
- Columns in GROUP BY
## Index Types
### Single Column
```sql
CREATE INDEX idx_users_email ON users(email);
```
### Composite
```sql
CREATE INDEX idx_posts_author_status ON posts(user_id, status);
```
### Covering
Include all queried columns:
```sql
CREATE INDEX idx_posts_covering ON posts(user_id, status, published_at);
```
## Common Mistakes
1. **Too many indexes** — slow writes
2. **Wrong order** — composite indexes need proper column order
3. **Unused indexes** — monitor and remove
## Monitoring
```sql
-- Find unused indexes (PostgreSQL)
SELECT * FROM pg_stat_user_indexes WHERE idx_scan = 0;
```
## Conclusion
Strategic indexing is essential for read-heavy applications. Measure, don't guess!
Database
Performance