trek-router

trek-router

A fast HTTP router, inspired by Echo's Router.

Benchmarks

See benchmarks, use GitHub API Routes and Discourse API Routes.

VS

• path-to-regexp
• route-recognizer
• route-trie
• routington

$ npm run benchmark

GitHub API, 203 routes:
trek-router x 5,095 ops/sec ±2.26% (98 runs sampled)
memoryUsage: { rss: 42135552, heapTotal: 32478208, heapUsed: 18689464 }
path-to-regexp x 408 ops/sec ±1.58% (93 runs sampled)
memoryUsage: { rss: 60882944, heapTotal: 51053056, heapUsed: 16037648 }
route-recognizer x 323 ops/sec ±1.27% (90 runs sampled)
memoryUsage: { rss: 63623168, heapTotal: 54136832, heapUsed: 28968984 }
route-trie x 1,229 ops/sec ±1.12% (95 runs sampled)
memoryUsage: { rss: 65597440, heapTotal: 55168768, heapUsed: 27494288 }
routington x 1,201 ops/sec ±0.30% (98 runs sampled)
memoryUsage: { rss: 68001792, heapTotal: 59284480, heapUsed: 28473048 }
Fastest is trek-router

Discourse API, 359 routes:
trek-router x 3,801 ops/sec ±0.09% (101 runs sampled)
memoryUsage: { rss: 70402048, heapTotal: 61348352, heapUsed: 30221032 }
path-to-regexp x 59.41 ops/sec ±0.23% (78 runs sampled)
memoryUsage: { rss: 72286208, heapTotal: 63400192, heapUsed: 28175392 }
route-recognizer x 211 ops/sec ±1.14% (92 runs sampled)
memoryUsage: { rss: 75005952, heapTotal: 64432128, heapUsed: 21000584 }
route-trie x 1,131 ops/sec ±0.85% (97 runs sampled)
memoryUsage: { rss: 74936320, heapTotal: 64432128, heapUsed: 18404472 }
routington x 1,076 ops/sec ±0.45% (100 runs sampled)
memoryUsage: { rss: 74973184, heapTotal: 64432128, heapUsed: 25122008 }
Fastest is trek-router

Usage

import Router from 'trek-router';

let r = new Router();
// static route
r.add('GET', '/folders/files/bolt.gif', () => {});
// param route
r.add('GET', '/users/:id', () => {});
// match-any route
r.add('GET', '/books/*', () => {});

let result = r.find('GET', '/users/233')
// => [handler, params]
// => [()=>{}, [{name: id, value: 233}]]

// Not Found
let result = r.find('GET', '/photos/233')
// => [handler, params]
// => [undefined, []]

License

MIT