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threading as promises. Run CPU-intensive code in worker threads with a simple fluent API.","maintainers":[{"name":"samsantosb","email":"samsantosb@outlook.com"}],"readme":"# 🐝 bee-threads\n\n[![npm](https://img.shields.io/npm/v/bee-threads.svg)](https://www.npmjs.com/package/bee-threads)\n[![npm downloads](https://img.shields.io/npm/dw/bee-threads.svg)](https://www.npmjs.com/package/bee-threads)\n[![TypeScript](https://img.shields.io/badge/TypeScript-Ready-blue.svg)](https://www.typescriptlang.org/)\n[![Zero Dependencies](https://img.shields.io/badge/dependencies-0-brightgreen.svg)](https://www.npmjs.com/package/bee-threads)\n\n<div align=\"center\">\n\n### ⚡ THE BEST THREADS DX IN NODE.JS ⚡\n\n**Parallel programming made simple. Zero boilerplate. Zero dependencies.**\n\n</div>\n\n---\n\n## Install\n\n```bash\nnpm install bee-threads\n```\n\n```ts\nimport { bee, beeThreads } from 'bee-threads'\n\n// Anything inside bee() runs on a separate thread\nconst result = await bee((x: number) => x * 2)(21) // 42\n```\n\n---\n\n## `bee()` - Simple Curried API\n\n```ts\n// No arguments\nawait bee(() => 42)()\n\n// With arguments\nawait bee((a: number, b: number) => a + b)(10, 20) // 30\n\n// With closures\nconst TAX = 0.2\nawait bee((price: number) => price * (1 + TAX))(100, { beeClosures: { TAX } }) // 120\n```\n\n---\n\n## Fluent API Methods\n\n### `beeThreads.run()` - Full Control\n\n```ts\nawait beeThreads\n\t.run((a: number, b: number) => a + b)\n\t.usingParams(10, 20)\n\t.execute() // 30\n```\n\n### `.setContext()` - Inject Variables\n\n```ts\nconst TAX = 0.2\nawait beeThreads\n\t.run((price: number) => price * (1 + TAX))\n\t.usingParams(100)\n\t.setContext({ TAX })\n\t.execute() // 120\n```\n\n### `.signal()` - Cancellation\n\n```ts\nconst controller = new AbortController()\n\nconst promise = beeThreads\n\t.run(() => heavyComputation())\n\t.signal(controller.signal)\n\t.execute()\n\ncontroller.abort() // Cancel anytime\n```\n\n### `.retry()` - Auto-retry\n\n```ts\nawait beeThreads\n\t.run(() => fetchFromFlakyAPI())\n\t.retry({ maxAttempts: 5, baseDelay: 100, backoffFactor: 2 })\n\t.execute()\n```\n\n### `.priority()` - Queue Priority\n\n```ts\nawait beeThreads.run(() => processPayment()).priority('high').execute()\nawait beeThreads.run(() => generateReport()).priority('low').execute()\n```\n\n### `.transfer()` - Zero-copy ArrayBuffer\n\n```ts\nconst buffer = new Uint8Array(10_000_000)\nawait beeThreads\n\t.run((buf: Uint8Array) => processImage(buf))\n\t.usingParams(buffer)\n\t.transfer([buffer.buffer])\n\t.execute()\n```\n\n### `.reconstructBuffers()` - Buffer Reconstruction\n\n```ts\nconst buffer = await beeThreads\n\t.run((img: Buffer) => require('sharp')(img).resize(100).toBuffer())\n\t.usingParams(imageBuffer)\n\t.reconstructBuffers()\n\t.execute()\n\nBuffer.isBuffer(buffer) // true\n```\n\n---\n\n## `beeThreads.turbo()` - Parallel Arrays\n\nProcess arrays across **ALL CPU cores**. Non-blocking (main thread stays free).\n\n```ts\nconst numbers = [1, 2, 3, 4, 5, 6, 7, 8]\n\nconst squares = await beeThreads.turbo(numbers).map((x: number) => x * x)\nconst evens = await beeThreads.turbo(numbers).filter((x: number) => x % 2 === 0)\nconst sum = await beeThreads.turbo(numbers).reduce((a: number, b: number) => a + b, 0)\n\n// Custom worker count\nawait beeThreads.turbo(numbers).setWorkers(8).map((x: number) => x * x)\n\n// With context\nconst factor = 2.5\nawait beeThreads.turbo(data, { context: { factor } }).map((x: number) => x * factor)\n```\n\n> **Default workers:** `os.cpus().length - 1` (leaves one core for main thread)\n\n---\n\n## `beeThreads.worker()` - File Workers\n\nWhen you need **`require()`**, **database connections**, or **external modules**.\n\n```ts\n// workers/hash-password.js\nconst bcrypt = require('bcrypt')\nmodule.exports = async function (password) {\n\treturn bcrypt.hash(password, 12)\n}\n\n// main.ts - Just use relative path, it works! ✨\nconst hash = await beeThreads.worker('./workers/hash-password.js')('secret123')\n```\n\n### ✅ Smart Path Resolution\n\nRelative paths (`./` or `../`) are **automatically resolved from your file's location**, not from `process.cwd()`. No more `__dirname` boilerplate!\n\n```ts\n// ✅ Just works - resolved from YOUR file's directory\nbeeThreads.worker('./workers/task.js')\nbeeThreads.worker('../shared/worker.js')\n\n// ✅ Absolute paths also work\nbeeThreads.worker('/app/workers/task.js')\n```\n\n### TypeScript Workers\n\nFor TypeScript, point to the **compiled `.js` file**:\n\n```ts\n// src/workers/process.ts → compiled to dist/workers/process.js\n\n// ✅ Point to compiled JS\nbeeThreads.worker('./workers/process.js')  // if running from dist/\n\n// ✅ Or use explicit path to dist\nimport { join } from 'path'\nbeeThreads.worker(join(__dirname, '../dist/workers/process.js'))\n```\n\n### Worker File Format\n\n```js\n// workers/my-worker.js\nconst db = require('./database')\n\n// Option 1: Direct export (recommended)\nmodule.exports = async function (data) {\n\treturn db.process(data)\n}\n\n// Option 2: Default export\nmodule.exports.default = async function (data) {\n\treturn db.process(data)\n}\n```\n\n---\n\n## `worker().turbo()` - File Workers + Parallel Arrays\n\nProcess large arrays with **database access** across multiple workers.\n\n```ts\n// workers/process-users.js\nconst db = require('../database')\n\nmodule.exports = async function (users) {\n\treturn Promise.all(\n\t\tusers.map(async user => ({\n\t\t\t...user,\n\t\t\tscore: user.value * 10,\n\t\t\tdata: await db.fetch(user.id),\n\t\t}))\n\t)\n}\n\n// main.ts - 10,000 users across 8 workers\nconst results = await beeThreads.worker('./workers/process-users.js').turbo(users, { workers: 8 })\n```\n\n> **Default workers:** `os.cpus().length - 1`\n\n### When to Use\n\n| Need                            | Use                |\n| ------------------------------- | ------------------ |\n| Pure computation (no I/O)       | `turbo()`          |\n| Single DB call                  | `worker()`         |\n| **Batch processing + DB/API**   | `worker().turbo()` |\n| **ETL pipelines**               | `worker().turbo()` |\n| **Data enrichment at scale**    | `worker().turbo()` |\n\n---\n\n## Configuration\n\n```ts\nbeeThreads.configure({\n\tpoolSize: 8,\n\tminThreads: 2,\n\tmaxQueueSize: 1000,\n\tworkerIdleTimeout: 30000,\n\tdebugMode: true,\n\tlogger: console,\n})\n\nawait beeThreads.warmup(4)\nawait beeThreads.shutdown()\n```\n\n---\n\n## Error Handling\n\n```ts\nimport { TimeoutError, AbortError, QueueFullError, WorkerError } from 'bee-threads'\n\ntry {\n\tawait beeThreads.run(fn).execute()\n} catch (err) {\n\tif (err instanceof TimeoutError) { /* timeout */ }\n\tif (err instanceof AbortError) { /* cancelled */ }\n\tif (err instanceof WorkerError) { /* worker error */ }\n}\n\n// Safe mode - never throws\nconst result = await beeThreads.run(fn).safe().execute()\nif (result.status === 'fulfilled') console.log(result.value)\n```\n\n---\n\n## When to Use\n\n| Your Scenario | Best Choice | Why |\n|---------------|-------------|-----|\n| **Arrays** | `turbo()` | SharedArrayBuffer = zero-copy |\n| **Single heavy function** | `bee()` | Keeps main thread free |\n| **Light function** (`x * 2`) | Main thread | Overhead > benefit |\n| **Need `require()`/DB** | `worker()` | Full Node.js access |\n| **Batch processing with full import features** | `worker().turbo()` | Parallel + DB access |\n| **HTTP server** | `turbo()` | Non-blocking for requests |\n\n---\n\n## Limitations (Inline Functions)\n\nWhen using `bee()`, `beeThreads.run()`, or `turbo()` (without `worker()`), data is transferred via [Structured Clone Algorithm](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Structured_clone_algorithm).\n\n### ✅ What CAN be passed as parameters\n\n| Type | Works |\n|------|-------|\n| Primitives (`string`, `number`, `boolean`, `null`, `undefined`, `BigInt`) | ✅ |\n| Arrays, Objects (POJOs) | ✅ |\n| `Date`, `RegExp`, `Map`, `Set` | ✅ |\n| `ArrayBuffer`, TypedArrays (`Uint8Array`, `Float64Array`, etc.) | ✅ |\n| `Error` (with custom properties) | ✅ |\n| Nested objects | ✅ |\n\n### ❌ What CANNOT be passed as parameters\n\n| Type | Why |\n|------|-----|\n| **Functions** | Not cloneable (use `setContext` instead) |\n| **Symbols** | Not cloneable |\n| **Class instances** | Lose prototype and methods |\n| **WeakMap, WeakSet** | Not cloneable |\n| **Circular references** | Not supported |\n| **Streams** | Not cloneable |\n\n### ⚠️ Closures Must Be Explicit\n\nFunctions lose access to external variables when sent to workers:\n\n```ts\n// ❌ FAILS - x doesn't exist in worker\nconst x = 10\nawait bee((a) => a + x)(5) // ReferenceError: x is not defined\n\n// ✅ WORKS - pass x explicitly\nconst x = 10\nawait bee((a) => a + x)(5, { beeClosures: { x } }) // 15\n```\n\n```ts\n// ❌ FAILS - helper loses access to multiplier\nconst multiplier = 2\nconst helper = (n) => n * multiplier\n\nawait beeThreads.run((x) => helper(x))\n\t.setContext({ helper }) // helper is stringified, loses closure!\n\t.usingParams(5)\n\t.execute()\n\n// ✅ WORKS - pass all dependencies\nawait beeThreads.run((x) => helper(x))\n\t.setContext({ helper, multiplier })\n\t.usingParams(5)\n\t.execute() // 10\n```\n\n> **Need `require()`, database, or npm modules?** Use [`beeThreads.worker()`](#beethreadsworker---file-workers) instead.\n\n---\n\n## Why bee-threads?\n\n- **Zero dependencies** - Lightweight and secure\n- **Inline functions** - No separate worker files\n- **Worker pool** - Auto-managed, no cold-start\n- **Function caching** - LRU cache, 300-500x faster\n- **Worker affinity** - V8 JIT optimization\n- **Request coalescing** - Deduplicates identical calls\n- **Turbo mode** - Parallel array processing\n- **File workers** - External files with `require()` + turbo\n- **Full TypeScript** - Complete type inference\n\n---\n\nMIT © [Samuel Santos](https://github.com/samsantosb)\n","readmeFilename":"README.md"}