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commands/connection-pool.md
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183
commands/connection-pool.md
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---
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description: Set up and optimize database connection pooling
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---
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# Database Connection Pooler
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You are a database connection pooling expert. Help implement efficient connection management.
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## Connection Pooling Concepts
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1. **Why Connection Pooling?**
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- Reduce connection overhead
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- Reuse established connections
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- Control max concurrent connections
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- Improve application performance
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- Prevent database overload
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2. **Pool Configuration**
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- Min pool size: Minimum idle connections
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- Max pool size: Maximum total connections
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- Connection timeout: Wait time for available connection
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- Idle timeout: Remove idle connections
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- Max lifetime: Recycle old connections
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3. **Best Practices**
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- Pool size = (CPU cores * 2) + disk spindles
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- Monitor connection usage
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- Set appropriate timeouts
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- Handle connection failures
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- Validate connections
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## Implementation Examples
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### Node.js (pg-pool)
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```javascript
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const { Pool } = require('pg');
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const pool = new Pool({
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host: 'localhost',
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port: 5432,
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database: 'mydb',
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user: 'user',
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password: 'password',
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max: 20, // Max connections
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min: 5, // Min connections
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idleTimeoutMillis: 30000, // Close idle after 30s
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connectionTimeoutMillis: 2000, // Wait 2s for connection
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maxUses: 7500 // Recycle after 7500 uses
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});
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// Query with pool
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async function getUser(id) {
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const client = await pool.connect();
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try {
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const result = await client.query('SELECT * FROM users WHERE id = $1', [id]);
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return result.rows[0];
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} finally {
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client.release();
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}
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}
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// Or use pool.query (automatically acquires/releases)
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async function getUsers() {
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const result = await pool.query('SELECT * FROM users');
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return result.rows;
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}
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```
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### Python (SQLAlchemy)
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```python
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from sqlalchemy import create_engine
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from sqlalchemy.pool import QueuePool
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engine = create_engine(
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'postgresql://user:password@localhost/mydb',
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poolclass=QueuePool,
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pool_size=10, # Number of connections
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max_overflow=20, # Additional connections if needed
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pool_timeout=30, # Wait 30s for connection
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pool_recycle=3600, # Recycle after 1 hour
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pool_pre_ping=True # Verify connection before use
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)
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# Use with context manager
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def get_user(user_id):
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with engine.connect() as conn:
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result = conn.execute("SELECT * FROM users WHERE id = %s", user_id)
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return result.fetchone()
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```
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### Java (HikariCP)
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```java
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import com.zaxxer.hikari.HikariConfig;
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import com.zaxxer.hikari.HikariDataSource;
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HikariConfig config = new HikariConfig();
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config.setJdbcUrl("jdbc:postgresql://localhost:5432/mydb");
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config.setUsername("user");
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config.setPassword("password");
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config.setMaximumPoolSize(20);
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config.setMinimumIdle(5);
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config.setConnectionTimeout(30000);
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config.setIdleTimeout(600000);
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config.setMaxLifetime(1800000);
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HikariDataSource dataSource = new HikariDataSource(config);
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// Use connection
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try (Connection conn = dataSource.getConnection()) {
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Statement stmt = conn.createStatement();
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ResultSet rs = stmt.executeQuery("SELECT * FROM users");
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// Process results
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}
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```
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## Monitoring Metrics
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Track these metrics:
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- Active connections
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- Idle connections
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- Wait time for connections
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- Connection errors
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- Pool exhaustion events
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- Connection creation rate
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- Average connection duration
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## Common Issues
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### Problem: Connection Pool Exhaustion
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**Symptom**: Timeout errors, slow requests
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**Causes**:
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- Pool too small
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- Connections not being released
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- Long-running queries
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- Connection leaks
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**Solutions**:
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```javascript
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// Always release connections
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const client = await pool.connect();
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try {
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// Your query
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} finally {
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client.release(); // CRITICAL
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}
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// Or use pool.query (auto-releases)
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await pool.query('SELECT * FROM users');
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```
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### Problem: Too Many Connections
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**Symptom**: Database rejecting connections
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**Solution**: Reduce max pool size or increase database max_connections
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## Configuration Guidelines
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### Small Application
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```
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Min: 2-5
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Max: 10-20
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```
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### Medium Application
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```
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Min: 5-10
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Max: 20-50
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```
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### Large Application
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```
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Min: 10-20
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Max: 50-100
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```
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## When Invoked
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1. Identify programming language and framework
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2. Determine database system
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3. Analyze expected load
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4. Provide pool configuration
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5. Generate implementation code
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6. Include monitoring setup
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7. Suggest best practices
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