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JavaScript Web Workers Cheat Sheet

JavaScript Web Workers Cheat Sheet

Covers creating dedicated workers, message passing with postMessage, transferable objects, and the limits of the worker global scope.

2 PagesIntermediateApr 10, 2026

Creating & Messaging a Worker

Spawn a worker and exchange messages from the main thread.

javascript
// main.js - create and communicate with a workerconst worker = new Worker('worker.js');worker.postMessage({ cmd: 'start', payload: 42 }); // send data to workerworker.onmessage = (event) => {  console.log('Result from worker:', event.data); // receive data};worker.onerror = (err) => {  console.error('Worker error:', err.message);};

Inside the Worker Script

The worker's own scope has no DOM but can compute and respond.

javascript
// worker.js - runs on a separate threadself.onmessage = (event) => {  const { cmd, payload } = event.data;  if (cmd === 'start') {    const result = payload * 2; // heavy computation here    self.postMessage(result);  }};self.onerror = (err) => console.error(err);

Module Workers

Load ES modules inside a worker with the type option.

javascript
// Module worker (ES modules inside a worker)const worker = new Worker('worker.js', { type: 'module' });// worker.jsimport { heavyCalc } from './math.js';self.onmessage = (e) => self.postMessage(heavyCalc(e.data));

Worker Types & Scope

Key APIs and worker categories you'll encounter.

  • Dedicated Worker- Single script owned by one main thread; created with new Worker(url)
  • Shared Worker- Can be accessed by multiple scripts/tabs from the same origin via SharedWorker(url)
  • Service Worker- Proxy between app and network, enables offline caching and push notifications
  • self- Reference to the worker's own global scope (WorkerGlobalScope)
  • importScripts()- Synchronously loads one or more scripts into a classic (non-module) worker
  • postMessage()- Sends a structured-cloned message to the other side of the channel
  • terminate()- Immediately stops a worker from the main thread; no cleanup runs
  • close()- Called inside a worker to stop itself
  • No DOM access- Workers cannot touch window, document, or the DOM directly

Transferable Objects

Move large binary data between threads without copying.

javascript
// Transferable objects avoid copying large binary dataconst buffer = new ArrayBuffer(1024 * 1024); // 1MBworker.postMessage({ buf: buffer }, [buffer]); // ownership transferred, not copied// buffer.byteLength is now 0 in the main thread after transfer

SharedWorker Across Multiple Tabs

Use a SharedWorker to coordinate state between tabs from the same origin via MessagePort.

javascript
// main.js - each tab connects to the same shared workerconst worker = new SharedWorker('shared-worker.js');worker.port.start(); // must call start() explicitly for SharedWorkerworker.port.postMessage({ type: 'register', tab: location.pathname });worker.port.onmessage = (e) => {  console.log('Broadcast from other tabs:', e.data);};// shared-worker.jsconst ports = [];self.onconnect = (event) => {  const port = event.ports[0];  ports.push(port);  port.onmessage = (e) => {    // fan out to every connected tab    ports.forEach(p => p.postMessage(e.data));  };};

Worker Pool for Parallel Tasks

Distribute CPU-bound jobs across a fixed pool of workers to avoid spawning one per task.

javascript
class WorkerPool {  constructor(url, size = navigator.hardwareConcurrency || 4) {    this.queue = [];    this.workers = Array.from({ length: size }, () => {      const w = new Worker(url);      w.busy = false;      return w;    });  }  run(payload) {    return new Promise((resolve, reject) => {      this.queue.push({ payload, resolve, reject });      this._dispatch();    });  }  _dispatch() {    const worker = this.workers.find(w => !w.busy);    if (!worker || this.queue.length === 0) return;    const { payload, resolve, reject } = this.queue.shift();    worker.busy = true;    worker.onmessage = (e) => { worker.busy = false; resolve(e.data); this._dispatch(); };    worker.onerror = (e) => { worker.busy = false; reject(e); this._dispatch(); };    worker.postMessage(payload);  }}const pool = new WorkerPool('crunch.js');const results = await Promise.all([1, 2, 3].map(n => pool.run(n)));

SharedArrayBuffer & Atomics

Share raw memory between threads and coordinate access without message copying.

javascript
// Requires cross-origin isolation headers (COOP/COEP) to be enabledconst sab = new SharedArrayBuffer(4);const view = new Int32Array(sab);worker.postMessage(sab); // buffer itself is shared, not transferred// Main thread increments atomicallyAtomics.add(view, 0, 1);// Block the calling thread (only safe inside a worker) until notifiedconst result = Atomics.wait(view, 0, 0, 1000); // 'ok' | 'not-equal' | 'timed-out'Atomics.notify(view, 0, 1); // wake one waiter

OffscreenCanvas for Off-Main-Thread Rendering

Move canvas drawing work to a worker so it never blocks the main thread's frame budget.

javascript
// main.jsconst canvas = document.querySelector('canvas');const offscreen = canvas.transferControlToOffscreen(); // canvas becomes worker-ownedconst worker = new Worker('render-worker.js');worker.postMessage({ canvas: offscreen }, [offscreen]);// render-worker.jsself.onmessage = (e) => {  const ctx = e.data.canvas.getContext('2d');  function frame() {    ctx.clearRect(0, 0, 300, 150);    ctx.fillRect(Math.random() * 300, 40, 10, 10);    requestAnimationFrame(frame); // rAF works inside workers too  }  frame();};

Lifecycle & Error Propagation Gotchas

Edge cases that trip people up once past the basic postMessage flow.

  • messageerror event- Fires instead of onmessage when structured cloning fails to deserialize the payload
  • Uncaught worker exceptions- Bubble up as an ErrorEvent on worker.onerror; call event.preventDefault() to stop it also logging to the console
  • terminate() is abrupt- No finally blocks or cleanup handlers run inside the worker; prefer a self.close() message for graceful shutdown
  • Structured clone limits- Functions, DOM nodes, and Symbols cannot be posted; they throw a DataCloneError
  • Nested workers- A worker can spawn its own sub-workers, but debugging and termination cascades get harder to reason about
  • Same-origin scripts only- new Worker(url) requires the script to be same-origin unless served with permissive CORS and loaded as a module
  • No synchronous XHR blocking main- Workers can use synchronous XHR without freezing the UI, since they run off the main thread
Pro Tip

Prefer transferable objects (like ArrayBuffer) over structured cloning for large binary payloads - postMessage(data, [buffer]) moves ownership instead of copying, which is dramatically faster for big datasets.

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