node.js中cluster的使用教程

一、使用NODE中cluster利用多核CPU

var cluster = require('cluster'); var http = require('http'); var numCPUs = require('os').cpus().length; if (cluster.isMaster) { // 创建工作进程 for (var i = 0; i < numCPUs; i++) { cluster.fork(); } cluster.on('death', function(worker) { console.log('worker ' + worker.pid + ' died'); cluster.fork();//重启子进程 }); } else { // 工作进程创建http 服务器 http.Server(function(req, res) { res.writeHead(200); res.end("hello world\n"); }).listen(8000); }

二、通过消息传递来监控工作进程状态

var cluster = require('cluster'); var http = require('http'); var numCPUs = require('os').cpus().length; var rssWarn = (12 * 1024 * 1024) , heapWarn = (10 * 1024 * 1024) if(cluster.isMaster) { for(var i=0; i<numCPUs; i++) { var worker = cluster.fork(); worker.on('message', function(m) { if (m.memory) { console.log(m.memory.rss,rssWarn) if(m.memory.rss > rssWarn) { console.log('Worker ' + m.process + ' using too much memory.') } } }) } } else { // 服务器 http.createServer(function(req,res) { res.writeHead(200); res.end('hello world\n') }).listen(8000) // 每秒报告一次状态 setInterval(function report(){ process.send({memory: process.memoryUsage(), process: process.pid}); }, 1000) }

三、杀死僵尸进程

var cluster = require('cluster'); var http = require('http'); var numCPUs = require('os').cpus().length; var rssWarn = (50 * 1024 * 1024) , heapWarn = (50 * 1024 * 1024) var workers = {} if(cluster.isMaster) { for(var i=0; i<numCPUs; i++) { createWorker() } setInterval(function() { var time = new Date().getTime() for(pid in workers) { if(workers.hasOwnProperty(pid) && workers[pid].lastCb + 5000 < time) { console.log('Long running worker ' + pid + ' killed') workers[pid].worker.kill() delete workers[pid] createWorker() } } }, 1000) } else { // 服务器 http.Server(function(req,res) { // 打乱200 个请求中的1 个 if (Math.floor(Math.random() * 200) === 4) { console.log('Stopped ' + process.pid + ' from ever finishing') while(true) { continue } } res.writeHead(200); res.end('hello world from ' + process.pid + '\n') }).listen(8000) // 每秒钟报告一次状态 setInterval(function report(){ process.send({cmd: "reportMem", memory: process.memoryUsage(), process: process.pid}) }, 1000) } function createWorker() { var worker = cluster.fork() console.log('Created worker: ' + worker.pid) // 允许开机时间 workers[worker.pid] = {worker:worker, lastCb: new Date().getTime()-1000} worker.on('message', function(m) { if(m.cmd === "reportMem") { workers[m.process].lastCb = new Date().getTime() if(m.memory.rss > rssWarn) { console.log('Worker ' + m.process + ' using too much memory.') } } }) }

总结

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