也就是说,如果系统有8核,单个Node实例只能使用其中1核,可以利用cluster包的workers概念来充分利用所有的核。有趣的是,它们可以共享同一个端口。
该模块还处于实验阶段。
- var cluster = require('cluster');
- var http = require('http');
- var numCPUs = require('os').cpus().length;
- if (cluster.isMaster) {
- // Fork workers.
- require('os').cpus().forEach(function(){
- cluster.fork();
- });
- // In case the worker dies!
- cluster.on('exit', function(worker, code, signal) {
- console.log('worker ' + worker.process.pid + ' died');
- });
- // As workers come up.
- cluster.on('listening', function(worker, address) {
- console.log("A worker with #"+worker.id+" is now connected to " +\
- address.address +\
- ":" + address.port);
- });
- // When the master gets a msg from the worker increment the request count.
- var reqCount = 0;
- Object.keys(cluster.workers).forEach(function(id) {
- cluster.workers[id].on('message',function(msg){
- if(msg.info && msg.info == 'ReqServMaster'){
- reqCount += 1;
- }
- });
- });
- // Track the number of request served.
- setInterval(function() {
- console.log("Number of request served = ",reqCount);
- }, 1000);
- } else {
- // Workers can share the same port!
- require('http').Server(function(req, res) {
- res.writeHead(200);
- res.end("Hello from Cluster!");
- // Notify the master about the request.
- process.send({ info : 'ReqServMaster' });
- }).listen(8000);
- }
在一个4核的计算机上,输出如下:
- Number of request served = 0
- A worker with #2 is now connected to 0.0.0.0:8000
- A worker with #4 is now connected to 0.0.0.0:8000
- A worker with #1 is now connected to 0.0.0.0:8000
- A worker with #3 is now connected to 0.0.0.0:8000
- Number of request served = 0
- ...
- Number of request served = 2
- ..
- Number of request served = 4
- ...
- Number of request served = 6