Database-forbindelsespooling

-- Node.js med pg (PostgreSQL) connection pooling
const { Pool } = require('pg');

// Opret connection pool
const pool = new Pool({
  host: 'localhost',
  port: 5432,
  database: 'mydb',
  user: 'postgres',
  password: 'password',
  
  // Pool configuration
  min: 2,                    // Minimum connections
  max: 10,                   // Maximum connections
  idleTimeoutMillis: 30000,  // Close idle connections efter 30s
  connectionTimeoutMillis: 2000, // Vent max 2s på available connection
});

// Brug connection fra pool
async function getUser(userId) {
  // Låner connection fra pool
  const client = await pool.connect();
  
  try {
    const result = await client.query(
      'SELECT * FROM users WHERE id = $1',
      [userId]
    );
    return result.rows[0];
  } finally {
    // VIGTIGT: Returner connection til pool
    client.release();
  }
}

// Eller brug pool.query direkte (automatic release)
async function getUser(userId) {
  const result = await pool.query(
    'SELECT * FROM users WHERE id = $1',
    [userId]
  );
  return result.rows[0];
}

// Graceful shutdown
process.on('SIGTERM', async () => {
  await pool.end();
  console.log('Pool closed');
});

-- MySQL connection pooling
const mysql = require('mysql2/promise');

const pool = mysql.createPool({
  host: 'localhost',
  user: 'root',
  password: 'password',
  database: 'mydb',
  waitForConnections: true,
  connectionLimit: 10,
  queueLimit: 0
});

// Brug connection
async function query() {
  const [rows] = await pool.execute(
    'SELECT * FROM users WHERE age > ?',
    [25]
  );
  return rows;
}

// Connection kan også lånes explicit
const connection = await pool.getConnection();
try {
  await connection.beginTransaction();
  await connection.query('INSERT INTO users VALUES (?, ?)', [1, 'Peter']);
  await connection.query('INSERT INTO posts VALUES (?, ?)', [1, 'Title']);
  await connection.commit();
} catch (error) {
  await connection.rollback();
  throw error;
} finally {
  connection.release();
}

-- Python med SQLAlchemy
from sqlalchemy import create_engine
from sqlalchemy.pool import QueuePool

# Engine med connection pooling
engine = create_engine(
    'postgresql://user:password@localhost/mydb',
    poolclass=QueuePool,
    pool_size=5,        # Normal pool size
    max_overflow=10,    # Extra connections hvis nødvendigt
    pool_timeout=30,    # Wait max 30s for connection
    pool_recycle=3600   # Recycle connections efter 1 time
)

# Brug connection fra pool
with engine.connect() as conn:
    result = conn.execute(
        "SELECT * FROM users WHERE id = %s",
        (user_id,)
    )
    user = result.fetchone()

-- Java med HikariCP (fastest connection pool)
import com.zaxxer.hikari.HikariConfig;
import com.zaxxer.hikari.HikariDataSource;

HikariConfig config = new HikariConfig();
config.setJdbcUrl("jdbc:postgresql://localhost:5432/mydb");
config.setUsername("postgres");
config.setPassword("password");
config.setMaximumPoolSize(10);
config.setMinimumIdle(2);
config.setConnectionTimeout(30000);
config.setIdleTimeout(600000);
config.setMaxLifetime(1800000);

HikariDataSource dataSource = new HikariDataSource(config);

// Brug connection
try (Connection conn = dataSource.getConnection();
     PreparedStatement stmt = conn.prepareStatement("SELECT * FROM users WHERE id = ?")) {
    
    stmt.setInt(1, userId);
    ResultSet rs = stmt.executeQuery();
    
    while (rs.next()) {
        String name = rs.getString("name");
        System.out.println(name);
    }
}

-- Connection pool monitoring
// Node.js pool stats
console.log('Total connections:', pool.totalCount);
console.log('Idle connections:', pool.idleCount);
console.log('Waiting requests:', pool.waitingCount);

pool.on('connect', (client) => {
  console.log('New client connected');
});

pool.on('error', (err, client) => {
  console.error('Pool error:', err);
});

-- Pool sizing guidelines
// Formula: pool_size = ((core_count * 2) + effective_spindle_count)
// For SSD: pool_size = core_count * 2
// For cloud: start small (5-10) og tune baseret på metrics

// Eksempel med 4 CPU cores og SSD:
const pool = new Pool({
  min: 2,
  max: 8  // 4 cores * 2
});

-- Connection leaks (BAD!)
// WRONG: Connection ikke released
async function leakyFunction() {
  const client = await pool.connect();
  const result = await client.query('SELECT * FROM users');
  return result.rows;
  // client.release() MANGLER! Connection lost!
}

// CORRECT: Always release
async function correctFunction() {
  const client = await pool.connect();
  try {
    const result = await client.query('SELECT * FROM users');
    return result.rows;
  } finally {
    client.release(); // Always executes
  }
}

-- Connection pool exhaustion
// Hvis alle connections er i brug:
try {
  const client = await pool.connect();
  // ... use connection
} catch (error) {
  if (error.message.includes('timeout')) {
    console.error('Pool exhausted! No available connections');
  }
}

-- Best practices
// 1. Release connections ASAP
// 2. Use try-finally to ensure release
// 3. Don't hold connections during long operations
// 4. Monitor pool metrics
// 5. Set appropriate timeouts
// 6. Configure pool size based on workload

-- Serverless considerations (AWS Lambda)
// Problem: Lambda kan spawn mange instances
// Each med egen pool = too many DB connections!

// Solution 1: Small pool size per instance
const pool = new Pool({
  max: 1  // Only 1 connection per Lambda
});

// Solution 2: Use RDS Proxy (connection pooling service)
const pool = new Pool({
  host: 'rds-proxy-endpoint',
  max: 5
});

// Solution 3: Serverless-friendly databases
// (Aurora Serverless, PlanetScale, Supabase)