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Like `p-limit` or `fastq`, but smaller and faster. Optional [time-based rate limiting](#time-based-rate-limiting) also available. See [comparisons and benchmarks](#comparisons-and-benchmarks) below.\n\nWorks with: \"browsers\" \"Deno\" \"Node.js\" \"Cloudflare \"Bun\"\n\n## Usage\n\nCreate a queue with the `newQueue` function. Then add async functions - or promise returning functions - to your queue with the `add` method.\n\nYou can use `queue.done()` to wait for the queue to be empty.\n\n\n```ts\nimport { newQueue } from '@henrygd/queue'\n\n// create a new queue with a concurrency of 2\nconst queue = newQueue(2)\n\nconst pokemon = ['ditto', 'hitmonlee', 'pidgeot', 'poliwhirl', 'golem', 'charizard']\n\nfor (const name of pokemon) {\n queue.add(async () => {\n const res = await fetch(`https://pokeapi.co/api/v2/pokemon/${name}`)\n const json = await res.json()\n console.log(`${json.name}: ${json.height * 10}cm | ${json.weight / 10}kg`)\n })\n}\n\nconsole.log('running')\nawait queue.done()\nconsole.log('done')\n```\n\nThe return value of `queue.add` is the same as the return value of the supplied function.\n\n```ts\nconst response = await queue.add(() =>\n fetch(\"https://pokeapi.co/api/v2/pokemon\")\n);\nconsole.log(response.ok, response.status, response.headers);\n```\n\n`queue.all` is like `Promise.all` with concurrency control:\n\n```ts\nimport { newQueue } from \"@henrygd/queue\";\n\nconst queue = newQueue(2);\n\nconst tasks = [\"ditto\", \"hitmonlee\", \"pidgeot\", \"poliwhirl\"].map(\n (name) => async () => {\n const res = await fetch(`https://pokeapi.co/api/v2/pokemon/${name}`);\n return await res.json();\n }\n);\n\n// Process all tasks concurrently (limited by queue concurrency) and wait for all to complete\nconst results = await queue.all(tasks);\nconsole.log(results); // [{ name: 'ditto', ... }, { name: 'hitmonlee', ... }, ...]\n```\n\nYou can also mix existing promises and function wrappers.\n\n```ts\nconst existingPromise = fetch(\"https://pokeapi.co/api/v2/pokemon/ditto\").then(\n (r) => r.json()\n);\nconst results = await queue.all([\n existingPromise,\n () =>\n fetch(\"https://pokeapi.co/api/v2/pokemon/pidgeot\").then((r) => r.json()),\n]);\n```\n\nNote that only the wrapper functions are queued, since existing promises start running as soon as you create them.\n\n## Time-based rate limiting\n\nIf you need to limit not just concurrency (how many tasks run simultaneously) but also **rate** (how many tasks can start within a time window), use `@henrygd/queue/rl`.\n\nThis is useful when working with APIs that have rate limits.\n\n```ts\nimport { newQueue } from '@henrygd/queue/rl'\n\n// max 10 concurrent requests, but only 3 can start per second\nconst queue = newQueue(10, 3, 1000)\n\nconst start = Date.now()\n\nfor (let i = 1; i <= 10; i++) {\n queue.add(async () => console.log(`Task ${i} started at ${Date.now() - start}ms`))\n}\n\nawait queue.done()\n```\n\nThe signature is: `newQueue(concurrency, rate?, interval?)`.\n\n- **`concurrency`** - Maximum number of tasks running simultaneously\n- **`rate`** - Maximum number of tasks that can start within the `interval` (optional)\n- **`interval`** - Time window in milliseconds for rate limiting (optional)\n\nIf you omit `rate` and `interval`, it works exactly like the main package (just concurrency limiting).\n\n> [!TIP]\n> If you need support for Node's [AsyncLocalStorage](https://nodejs.org/api/async_context.html#introduction), import `@henrygd/queue/async-storage` instead.\n\n## Queue interface\n\n```ts\n/** Add an async function / promise wrapper to the queue */\nqueue.add(promiseFunction: () => PromiseLike): Promise\n/** Adds promises (or wrappers) to the queue and resolves like Promise.all */\nqueue.all(promiseFunctions: Array | (() => PromiseLike)>): Promise\n/** Returns a promise that resolves when the queue is empty */\nqueue.done(): Promise\n/** Empties the queue - pending promises are rejected, active promises continue */\nqueue.clear(): void\n/** Returns the number of promises currently running */\nqueue.active(): number\n/** Returns the total number of promises in the queue */\nqueue.size(): number\n```\n\n## Comparisons and benchmarks\n\n| Library | Version | Bundle size (B) | Weekly downloads |\n| :-------------------------------------------------------------- | :------ | :-------------- | :--------------- |\n| @henrygd/queue | 1.2.0 | 472 | hundreds :) |\n| @henrygd/queue/rl | 1.2.0 | 685 | - |\n| [p-limit](https://github.com/sindresorhus/p-limit) | 5.0.0 | 1,763 | 118,953,973 |\n| [async.queue](https://github.com/caolan/async) | 3.2.5 | 6,873 | 53,645,627 |\n| [fastq](https://github.com/mcollina/fastq) | 1.17.1 | 3,050 | 39,257,355 |\n| [queue](https://github.com/jessetane/queue) | 7.0.0 | 2,840 | 4,259,101 |\n| [promise-queue](https://github.com/promise-queue/promise-queue) | 2.2.5 | 2,200 | 1,092,431 |\n\n### Note on benchmarks\n\nAll libraries run the exact same test. Each operation measures how quickly the queue can resolve 1,000 async functions. The function just increments a counter and checks if it has reached 1,000.[^benchmark]\n\nWe check for completion inside the function so that `promise-queue` and `p-limit` are not penalized by having to use `Promise.all` (they don't provide a promise that resolves when the queue is empty).\n\n## Browser benchmark\n\nThis test was run in Chromium. Chrome and Edge are the same. Firefox and Safari are slower and closer, with `@henrygd/queue` just edging out `promise-queue`. I think both are hitting the upper limit of what those browsers will allow.\n\nYou can run or tweak for yourself here: https://jsbm.dev/TKyOdie0sbpOh\n\n![@henrygd/queue - 13,665 Ops/s. fastq - 7,661 Ops/s. promise-queue - 7,650 Ops/s. async.queue - 4,060 Ops/s. p-limit - 1,067 Ops/s. queue - 721 Ops/s](https://henrygd-assets.b-cdn.net/queue/106/browser-benchmark.png)\n\n## Node.js benchmarks\n\n> Note: `p-limit` 6.1.0 now places between `async.queue` and `queue` in Node and Deno.\n\nRyzen 5 4500U | 8GB RAM | Node 22.3.0\n\n![@henrygd/queue - 1.9x faster than fastq. 2.03x promise-queue. 3.86x async.queue. 20x queue. 86x p-limit.](https://henrygd-assets.b-cdn.net/queue/106/node-4500.png)\n\nRyzen 7 6800H | 32GB RAM | Node 22.3.0\n\n![@henrygd/queue - 1.9x faster than fastq. 2.01x promise-queue. 3.98x async.queue. 6.86x queue. 88x p-limit.](https://henrygd-assets.b-cdn.net/queue/106/node-6800h.png)\n\n## Deno benchmarks\n\n> Note: `p-limit` 6.1.0 now places between `async.queue` and `queue` in Node and Deno.\n\nRyzen 5 4500U | 8GB RAM | Deno 1.44.4\n\n![@henrygd/queue - 1.9x faster than fastq. 2.01x promise-queue. 4.7x async.queue. 7x queue. 28x p-limit.](https://henrygd-assets.b-cdn.net/queue/106/deno-4500.png)\n\nRyzen 7 6800H | 32GB RAM | Deno 1.44.4\n\n![@henrygd/queue - 1.82x faster than fastq. 1.91x promise-queue. 3.47x async.queue. 7x queue. 26x p-limit.](https://henrygd-assets.b-cdn.net/queue/106/deno-6800h.png)\n\n## Bun benchmarks\n\nRyzen 5 4500U | 8GB RAM | Bun 1.1.17\n\n![@henrygd/queue - 1.25x faster than promise-queue. 1.66x fastq. 2.73x async.queue. 5.44x p-limit. 12x queue.](https://henrygd-assets.b-cdn.net/queue/106/bun-4500.png)\n\nRyzen 7 6800H | 32GB RAM | Bun 1.1.17\n\n![@henrygd/queue - 1.17x faster than promise-queue. 1.51x fastq. 2.53x async.queue. 5.25x p-limit. 5.39x queue.](https://henrygd-assets.b-cdn.net/queue/106/bun-6800h.png)\n\n## Cloudflare Workers benchmark\n\nUses [oha](https://github.com/hatoo/oha) to make 1,000 requests to each worker. Each request creates a queue and resolves 5,000 functions.\n\nThis was run locally using [Wrangler](https://developers.cloudflare.com/workers/get-started/guide/) on a Ryzen 7 6800H laptop. Wrangler uses the same [workerd](https://github.com/cloudflare/workerd) runtime as workers deployed to Cloudflare, so the relative difference should be accurate. Here's the [repository for this benchmark](https://github.com/henrygd/async-queue-wrangler-benchmark).\n\n| Library | Requests/sec | Total (sec) | Average | Slowest |\n| :------------- | :----------- | :---------- | :------ | :------ |\n| @henrygd/queue | 816.1074 | 1.2253 | 0.0602 | 0.0864 |\n| promise-queue | 647.2809 | 1.5449 | 0.0759 | 0.1149 |\n| fastq | 336.7031 | 3.0877 | 0.1459 | 0.2080 |\n| async.queue | 198.9986 | 5.0252 | 0.2468 | 0.3544 |\n| queue | 85.6483 | 11.6757 | 0.5732 | 0.7629 |\n| p-limit | 77.7434 | 12.8628 | 0.6316 | 0.9585 |\n\n## Related\n\n[`@henrygd/semaphore`](https://github.com/henrygd/semaphore) - Fastest javascript inline semaphores and mutexes using async / await.\n\n## License\n\n[MIT license](/LICENSE)\n\n[^benchmark]: In real applications, you may not be running so many jobs at once, and your jobs will take much longer to resolve. So performance will depend more on the jobs themselves.","users":{}}