---
id: wiki-2026-0508-메인-스레드-main-thread
title: 메인 스레드 (Main Thread)
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [Main Thread, UI Thread, JavaScript Thread]
duplicate_of: none
source_trust_level: A
confidence_score: 0.9
verification_status: applied
tags: [browser, performance, javascript, frontend]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: javascript
  framework: browser
---

# 메인 스레드 (Main Thread)

## 매 한 줄
> **"매 single thread 매 JS, layout, paint, event 매 모두 처리"**. 매 50ms+ task — 매 long task — 매 jank/INP 악화. 매 해결 = 매 break up + Web Worker (CPU) + scheduler.yield (cooperative) + offscreen canvas (rendering).

## 매 핵심

### 매 main thread 책임
- **JavaScript** 실행.
- **Style** 계산.
- **Layout** (reflow).
- **Paint**.
- **Composite** 매 일부 (대부분 GPU).
- **Event** dispatching.
- **rAF** callbacks.

### 매 long task
- **>50ms** task — Lighthouse "long task" — 매 user input 차단.
- **TBT** (Total Blocking Time) — long task time 합산.
- **INP** (Interaction to Next Paint, 2024 Web Vital) — 매 main thread block 매 직접 영향.

### 매 yielding 전략
1. `setTimeout(fn, 0)` — 매 macrotask — 매 input priority 의 X.
2. `requestIdleCallback` — 매 idle 만 — 매 best effort.
3. `scheduler.postTask` (priority) — 매 modern.
4. `scheduler.yield()` (Chrome 129+) — 매 explicit yield + continue.
5. `MessageChannel` postMessage — 매 lower latency.
6. **Web Worker** — 매 다른 thread — 매 CPU heavy.
7. **OffscreenCanvas** — 매 worker 매 렌더링.

### 매 응용
1. Heavy parsing (CSV, JSON 매 수십 MB).
2. ML inference (TensorFlow.js — Worker).
3. Image processing — OffscreenCanvas.
4. List rendering — virtualization + chunking.

## 💻 패턴

### Long task break up — scheduler.yield
```javascript
async function processItems(items) {
  for (const item of items) {
    process(item);
    if (navigator.scheduling?.isInputPending() ||
        performance.now() - lastYield > 50) {
      await scheduler.yield();  // 매 main thread 풀어줌
      lastYield = performance.now();
    }
  }
}
```

### scheduler.postTask (priority)
```javascript
scheduler.postTask(() => doImportant(), { priority: 'user-blocking' });
scheduler.postTask(() => doIdle(),       { priority: 'background' });
```

### Web Worker (CPU heavy)
```javascript
// main.js
const worker = new Worker(new URL('./worker.js', import.meta.url), { type: 'module' });
worker.postMessage({ data: largeArray });
worker.onmessage = e => console.log('result', e.data);

// worker.js
self.onmessage = e => {
  const result = heavyComputation(e.data.data);
  self.postMessage(result);
};
```

### Comlink (worker RPC)
```javascript
// main.js
import * as Comlink from 'comlink';
const api = Comlink.wrap(new Worker('./worker.js'));
const result = await api.heavyTask(largeData);

// worker.js
import * as Comlink from 'comlink';
Comlink.expose({
  heavyTask: data => heavyComputation(data)
});
```

### OffscreenCanvas (worker render)
```javascript
// main
const canvas = document.querySelector('canvas');
const offscreen = canvas.transferControlToOffscreen();
worker.postMessage({ canvas: offscreen }, [offscreen]);

// worker
self.onmessage = e => {
  const ctx = e.data.canvas.getContext('2d');
  function frame() {
    ctx.fillRect(...);
    requestAnimationFrame(frame);
  }
  frame();
};
```

### Chunked processing (rAF)
```javascript
function processChunked(items, chunkSize = 100) {
  let i = 0;
  function chunk() {
    const end = Math.min(i + chunkSize, items.length);
    for (; i < end; i++) process(items[i]);
    if (i < items.length) requestAnimationFrame(chunk);
  }
  chunk();
}
```

### isInputPending (yield 시점 결정)
```javascript
function workLoop(deadline) {
  while (tasks.length && !navigator.scheduling.isInputPending()) {
    tasks.shift()();
  }
  if (tasks.length) scheduler.postTask(() => workLoop());
}
```

### React 18 transition (yield 자동)
```jsx
import { useTransition } from 'react';

const [isPending, startTransition] = useTransition();
const onChange = e => {
  setQuery(e.target.value);  // 매 urgent
  startTransition(() => {
    setResults(filter(e.target.value));  // 매 interruptible
  });
};
```

### Long Animation Frames API (LoAF) 측정
```javascript
new PerformanceObserver(list => {
  list.getEntries().forEach(e => {
    console.log('LoAF:', e.duration, 'ms', e.scripts);
  });
}).observe({ type: 'long-animation-frame', buffered: true });
```

## 매 결정 기준
| 작업 | 처리 |
|---|---|
| Heavy CPU (parse, ML inference) | Web Worker |
| List 1000+ items render | virtualization + chunking |
| Canvas animation heavy | OffscreenCanvas in Worker |
| User-blocking + background mix | `scheduler.postTask` priority |
| React state update non-urgent | `useTransition` |
| Iterative loop break up | `scheduler.yield()` 매 50ms |
| Idle prefetch | `requestIdleCallback` |

**기본값**: CPU heavy = Worker + Comlink, list = virtual + chunked, React urgent/non = `useTransition`, loop = `scheduler.yield`.

## 🔗 Graph
- 부모: [[Browser Architecture]] · [[Web Performance]]
- 변형: [[Web Worker]] · [[OffscreenCanvas]] · [[Service Worker]]
- 응용: [[INP 최적화]] · [[가상화 (Virtualization)]] · [[React Concurrent]]
- Adjacent: [[Long Animation Frames]] · [[scheduler API]] · [[Comlink]]

## 🤖 LLM 활용
**언제**: INP 디버깅, "왜 input 매 lag", Worker offload 결정.
**언제 X**: 매 specific framework scheduler internals (React fiber) — 매 framework docs.

## ❌ 안티패턴
- **`while(true)` heavy loop**: 매 page freeze.
- **Sync XHR**: 매 main thread block — 매 deprecated.
- **JSON.parse on 50MB**: 매 Worker 의 사용.
- **`setTimeout(0)` 매 yield 가정**: 매 input priority 의 X — 매 `scheduler.yield`.
- **Worker 매 message 매 large clone**: 매 transferable (`ArrayBuffer.transfer`) 의 사용.

## 🧪 검증 / 중복
- Verified (web.dev INP/Long Tasks, Chrome DevRel scheduler API, MDN Web Workers).
- 신뢰도 A.

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — yielding + Worker + OffscreenCanvas |