node cluster模块的使用和测试
首先安装async包
用到的有http、cluster包
http和cluster都会node自带的包，无需安装
1：创建cluster.js，代码如下，更具cpu创建多个进程
var cluster = require("cluster");
var http = require("http");
var numCPUs = require('os').cpus().length;
if(cluster.isMaster){
console.log("[master] " + "start master......");
var data = 0;
for(var i=0; i<numCPUs; i++){
var work_process = cluster.fork();
}
cluster.on("listening", function(worker, address){
console.log("[master] " + "listening: worker "+worker.id + ", pid:"+worker.process.pid + ",Address:" + address.address + ":" + address.port);
});
cluster.on("exit", function(worker, code, signal){
console.log('worker ' + worker.process.pid + ' died');
});
}else{
http.createServer(function(req, res){
console.log("worker" + cluster.worker.id);
res.end("worker" + cluster.worker.id);
}).listen(30001);
}
执行该文件会看到有多个进程现在
2：创建httpClient.js用来请求刚才创建的30001端口的服务
var http = require("http");
var options = {
hostname: 'localhost',
port: 30001,
path: '/',
method: 'GET'
};
module.exports = function(callback){
var req = http.request(options, function(res) {
res.on('data', function (chunk) {
callback(chunk.toString());
});
});
req.on('error', function(e) {
console.log('problem with request: ' + e.message);
});
req.end();
};
3：创建test.js测试同步跑多个请求，最后统计出各个进程走的请求数量
var async = require("async");
var httpClient = require("./httpClient");
var sum = 10;
var t = {"1":0, "2":0,"3":0, "4":0};
var c=0;
for(var i=0; i<sum; i++){
async.series([
function(cb){
httpClient(function(str){
if(str === "worker1")
t["1"] = parseInt(t["1"] || 0) + 1;
if(str === "worker2")
t["2"] = parseInt(t["2"] || 0) + 1;
if(str === "worker3")
t["3"] = parseInt(t["3"] || 0) + 1;
if(str === "worker4")
t["4"] = parseInt(t["4"] || 0) + 1;
cb();
});
}
], function(err, result){
if(err){
console.log(err);
}
c++;
if(c == sum){
console.log(t);
}
});
}
其中Express和cluster结合使用
创建clusterMaster.js
var http = require("http");
var cluster = require("cluster");
var numCPUs = require("os").cpus().length;
var workerList = [];
function createWorker(){
var worker = cluster.fork();
worker.on("message", function(data){
console.log("the worker " + worker.id + "|" + worker.process.pid + " accept data: " + JSON.stringify(data));
if(data.type && data.type === "broadcast"){
workerList.forEach(function(wk){
wk.send(data.body);
});
}
});
return worker;
};
if(cluster.isMaster){
console.log("master process start...");
for (var i = 0; i < numCPUs; i++) {
workerList.push(createWorker());
}
cluster.on('listening',function(worker, address){
console.log("A worker with #" + worker.id + " pid " + worker.process.pid +
" is now connected to " + address.address + ":" + address.port);
});
cluster.on('exit', function(worker, code, signal) {
console.log('worker ' + worker.process.pid + ' died');
process.nextTick(function(){ cluster.fork(); });
});
}else{
require("./app.js");
}
以上cluster的功能就完成了，在app.js中添加监听message
process.on("message", function(data){
console.log("the process %s accept data: %s", process.pid, JSON.stringify(data));
});
在路由方法这种可以实现发送消息到master，master在.on("message")中收到消息后做操作
process.send({type: "broadcast", body:"ssssssss"});
以上就是node下cluster和express结合实现合理利用CPU
