使用throng 运行express 应用
参考了heroku的一个demo，同时集成了perf
环境准备
- package.json
{
"name": "nodejs-throng",
"version": "1.0.0",
"main": "index.js",
"license": "MIT",
"dependencies": {
"crypto": "^1.0.1",
"express": "^4.17.1",
"throng": "^5.0.0"
}
}
- app.js
const throng = require('throng')
const WORKERS = process.env.WEB_CONCURRENCY || 2
const PORT = process.env.PORT || 8080
throng(WORKERS, start)
function start(workid) {
console.log('Starting:',workid)
const crypto = require('crypto')
const express = require('express')
const app = express()
app
.get('/cpu', cpuBound)
.get('/memory', memoryBound)
.get('/io', ioBound)
.get('/', hello)
.listen(PORT, onListen)
function hello(req, res, next) {
console.log('workid:',workid)
res.send('Hello, world')
}
function cpuBound(req, res, next) {
console.log('workid:',workid)
const key = Math.random() < 0.5 ? 'ninjaturtles' : 'powerrangers'
const hmac = crypto.createHmac('sha512WithRSAEncryption', key)
const date = Date.now() + ''
hmac.setEncoding('base64')
hmac.end(date, () => res.send('A hashed date for you! ' + hmac.read()))
}
function memoryBound(req, res, next) {
console.log('workid:',workid)
const large = Buffer.alloc(10 * 1024 * 1024, 'X')
setTimeout(() => {
const len = large.length // close over the Buffer for 1s to try to foil V8's optimizations and bloat memory
console.log(len)
}, 1000).unref()
res.send('Allocated 10 MB buffer')
}
function ioBound(req, res, next) {
console.log('workid:',workid)
setTimeout(function SimulateDb() {
res.send('Got response from fake db!')
}, 300).unref()
}
function onListen() {
console.log('Listening on', PORT)
}
}
perf
perf record -e cycles:u -g -- node --perf-basic-prof --perf-prof-unwinding-info app.js
火焰图
可以使用flamescope
运行的多进程效果
说明
最好的对比就是通过不同模式的对比火焰图
参考资料
https://github.com/rongfengliang/throng-express-perf
https://github.com/hunterloftis/throng
https://github.com/pioardi/poolifier
https://cube.dev/blog/jobber-runs-on-cubejs/
https://devcenter.heroku.com/articles/node-concurrency
https://github.com/godaddy/node-cluster-service
https://github.com/ql-io/cluster2
https://medium.com/tech-tajawal/clustering-in-nodejs-utilizing-multiple-processor-cores-75d78aeb0f4f
https://medium.com/yld-blog/cpu-and-i-o-performance-diagnostics-in-node-js-c85ea71738eb
