[G1-Sync] Manual knowledge update
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---
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id: backend-connection-handling
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title: Connection Handling — Pool / Reuse / Timeout
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category: Coding
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status: draft
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source_trust_level: B
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verification_status: conceptual
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created_at: 2026-05-09
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updated_at: 2026-05-09
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tags: [backend, connection, pool, vibe-coding]
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tech_stack: { language: "TS", applicable_to: ["Backend"] }
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applied_in: []
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aliases: [HTTP keep-alive, agent, pgbouncer, connection pool, idle timeout, EADDRINUSE]
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---
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# Connection Handling
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> 매 request 새 connection = 느림 + resource. **Pool + keep-alive + 적절 timeout**. Database / HTTP / Redis / TCP 모두 적용. Lambda / serverless 는 다른 패턴.
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## 📖 핵심 개념
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- Pool: 미리 N 개 connection 보관.
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- Keep-alive: 같은 conn 다중 request.
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- Idle timeout: 안 쓰면 close.
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- Acquire timeout: pool exhausted 시 wait.
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## 💻 코드 패턴
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### HTTP keep-alive (Node fetch)
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```ts
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import { Agent } from 'undici';
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const agent = new Agent({
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keepAliveTimeout: 60_000,
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keepAliveMaxTimeout: 600_000,
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connections: 100, // per host
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pipelining: 10,
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});
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import { fetch as undiciFetch } from 'undici';
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const r = await undiciFetch('https://api.example.com', { dispatcher: agent });
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```
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→ 매 request 가 같은 TCP 재사용.
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### Native fetch (Node 18+)
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```ts
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// 자동 keep-alive (default).
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// 그러나 default agent — 작은 limit.
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// 큰 throughput = undici Agent.
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```
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### Postgres pool (pg)
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```ts
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import { Pool } from 'pg';
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const pool = new Pool({
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connectionString: process.env.DB_URL,
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max: 20, // max connections
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min: 2, // 항상 ready
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idleTimeoutMillis: 30_000, // 30s 후 close
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connectionTimeoutMillis: 5_000, // 5s acquire timeout
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statement_timeout: 30_000, // 30s query timeout
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query_timeout: 30_000,
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application_name: 'my-app',
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});
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// 사용
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const client = await pool.connect();
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try {
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const r = await client.query('SELECT * FROM users');
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} finally {
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client.release();
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}
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// 또는 단일 query
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const r = await pool.query('SELECT * FROM users');
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```
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### Postgres pool — Drizzle / Prisma
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```ts
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// Drizzle
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import { drizzle } from 'drizzle-orm/node-postgres';
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const db = drizzle(pool);
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// Prisma
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const prisma = new PrismaClient({
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datasources: { db: { url: process.env.DB_URL } },
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});
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// Prisma 자체 pool 관리 — connection_limit URL param
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// postgresql://...?connection_limit=20
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```
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### PgBouncer (외부 connection pool)
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```ini
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# pgbouncer.ini
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[databases]
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app = host=primary-db port=5432 dbname=app
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[pgbouncer]
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pool_mode = transaction # transaction / session / statement
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max_client_conn = 1000 # client → pgbouncer
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default_pool_size = 25 # pgbouncer → DB
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reserve_pool_size = 5
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server_idle_timeout = 600
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```
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→ 1000 client → 25 DB connection. PG 의 connection limit 회피.
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### Pool 크기 결정
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```
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규칙:
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max = (CPU cores × 2) + effective_spindles
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일반 DB: 10-30 connections per app instance
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큰 cluster: pgbouncer 로 multiplexing
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너무 큼: DB OOM, lock contention
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너무 적음: queue 늘어남, 502
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```
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### Acquire timeout 처리
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```ts
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try {
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const client = await pool.connect();
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// ...
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} catch (e) {
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if (e.message.includes('connection terminated')) {
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// DB down — circuit breaker
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}
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if (e.code === 'ETIMEDOUT') {
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// Pool exhausted — overload
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return res.status(503).end();
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}
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throw e;
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}
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```
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### Connection leak detection
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```ts
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// 모든 connection 사용 중 + acquire 무한 wait
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pool.on('error', (err, client) => {
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log.error('pool error', err);
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});
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// 주기적 stats
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setInterval(() => {
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log.info('pool stats', {
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total: pool.totalCount,
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idle: pool.idleCount,
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waiting: pool.waitingCount,
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});
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}, 30_000);
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```
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→ waiting > 0 자주 = pool 부족 / leak.
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### Lambda / serverless 패턴
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```
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Lambda 매 invocation = 새 container 가능.
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→ Pool 의 의미 적음.
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해결:
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1. Connection 가까이 — RDS Proxy / Hyperdrive (CF)
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2. HTTP 기반 DB driver (Neon, Supabase)
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3. 재사용 (warm container)
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```
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```ts
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// Lambda — global scope (warm reuse)
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import { Pool } from 'pg';
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let pool: Pool | null = null;
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export const handler = async (event) => {
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if (!pool) pool = new Pool({ max: 1, ...config });
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const r = await pool.query('SELECT * FROM users WHERE id = $1', [event.id]);
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return r.rows[0];
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};
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```
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→ Same container 재사용 시 pool 재사용.
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### Neon / Supabase HTTP driver
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```ts
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import { neon } from '@neondatabase/serverless';
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const sql = neon(process.env.DATABASE_URL);
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const users = await sql`SELECT * FROM users WHERE id = ${id}`;
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```
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→ HTTP — connection pool 불필요. Edge / serverless 친화.
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### Redis pool
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```ts
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import Redis from 'ioredis';
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const redis = new Redis({
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host: 'redis',
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port: 6379,
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maxRetriesPerRequest: 3,
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enableReadyCheck: true,
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lazyConnect: false,
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// 자동 connection pool — 한 instance OK
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});
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// Cluster
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const cluster = new Redis.Cluster([{ host: 'r1' }, { host: 'r2' }], {
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scaleReads: 'slave',
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});
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```
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### MySQL pool (mysql2)
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```ts
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import mysql from 'mysql2/promise';
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const pool = mysql.createPool({
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host: 'db',
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user: 'app',
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database: 'app',
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connectionLimit: 20,
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queueLimit: 0,
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enableKeepAlive: true,
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keepAliveInitialDelay: 10000,
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});
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```
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### HTTP outbound — global agent
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```ts
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import http from 'node:http';
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import https from 'node:https';
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// Default agents
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http.globalAgent.keepAlive = true;
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http.globalAgent.maxSockets = 100;
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https.globalAgent.keepAlive = true;
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https.globalAgent.maxSockets = 100;
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```
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### Connection retry / circuit breaker
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```ts
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import { CircuitBreaker } from 'opossum';
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const breaker = new CircuitBreaker(async (id: string) => {
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return await fetch(`http://upstream/users/${id}`);
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}, {
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timeout: 5000,
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errorThresholdPercentage: 50,
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resetTimeout: 30000,
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});
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const r = await breaker.fire('u1');
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```
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### Idle timeout 의 함정
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```
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NAT / load balancer 가 60s+ idle conn close.
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App 의 pool idle 60s+ 면 — stale conn.
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해결:
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- pool idle < LB idle (e.g. 30s pool, 60s LB).
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- 또는 ping every N seconds.
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```
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### Database connection death (zombie)
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```ts
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// PG 가 connection 살아있다 가정 — 사실 dead
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pool.on('connect', (client) => {
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client.query('SET application_name = "my-app"');
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});
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// Health check 시 ping
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async function checkPool() {
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try {
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await pool.query('SELECT 1');
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} catch {
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// Pool 재시작
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}
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}
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```
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### EADDRINUSE / port 재사용
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```ts
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// 빠른 restart 시 port still LISTEN
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server.listen(3000, () => { ... });
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server.on('error', (err) => {
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if (err.code === 'EADDRINUSE') {
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log.error('port 3000 in use');
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process.exit(1);
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}
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});
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// SO_REUSEPORT (Linux) — 여러 process 같은 port
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// Node cluster 자동.
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```
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### 측정
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```
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PostgreSQL stats:
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SELECT count(*) FROM pg_stat_activity WHERE state = 'active';
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SELECT count(*) FROM pg_stat_activity WHERE state = 'idle in transaction';
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```
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```ts
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// App level
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metrics.gauge('pool.total', pool.totalCount);
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metrics.gauge('pool.idle', pool.idleCount);
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metrics.gauge('pool.waiting', pool.waitingCount);
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```
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## 🤔 의사결정 기준
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| 환경 | 추천 |
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| 일반 server | Pool (10-30) |
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| Serverless | HTTP driver / RDS Proxy |
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| Edge | Neon / Hyperdrive |
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| 1000+ client | PgBouncer |
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| HTTP outbound | undici Agent |
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| Redis | ioredis (자체 pool) |
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## ❌ 안티패턴
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- **매 request 새 connection**: 슬로우.
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- **Pool 너무 큰 (100+)**: DB OOM.
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- **Pool 너무 작은 (3)**: queue.
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- **Idle timeout 길음 LB 보다**: zombie conn.
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- **Lambda 새 client 매번**: 재사용 X — global scope.
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- **Connection release 안 함**: leak.
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- **Statement timeout 없음**: hang.
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## 🤖 LLM 활용 힌트
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- Pool max = (CPU × 2) + 적절.
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- Idle timeout < LB idle.
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- Lambda = HTTP driver / RDS Proxy.
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- Stats 모니터링 — waiting > 0 alarm.
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## 🔗 관련 문서
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- [[DB_Connection_Pool]]
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- [[Backend_Service_Discovery]]
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- [[DB_Lock_Analysis]]
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