muti-thread
v2.0.6
Published
A framework let node support multi threads
Downloads
7
Readme
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A framework let node support multi threads
Getting Started
This section contains guides for understanding and mastering features that this module offers.
If we let fast-diff run in a thread, we should
1 npm install fast-diff
2 create export.js
'use strict';
const fastDiff = require('fast-diff');
(function($) {
$.fastDiff = function(good, bad, position) {
var r;
if(arguments.length === 2) {
r = fastDiff(good, bad);
} else {
r = fastDiff(good, bad, position);
}
return JSON.stringify(r);
}
})(global);
3 create webpack.config.js
'use strict';
var webpack = require('webpack');
var path = require('path');
module.exports = {
target: 'web',
entry: {
app: './export.js',
},
output: {
path: path.join(__dirname, 'out'),
filename: 'export.js'
},
resolve: {
extensions: ['.js', '.json'],
modules: [
'node_modules'
],
},
externals:{},
module: {
loaders: [
]
}
};
4 webpack --config webpack.config.js
5 the output file can be used
'use strict'
const co = require('co')
const Thread = require('muti-thread').Thread
const randomstring = require('randomstring')
const path = require('path')
// create a new thread
var thread = new Thread(path.join(__dirname, 'test', 'out', 'export.js'))
co(function* () {
for(;;) {
var good = randomstring.generate(1000)
var bad = randomstring.generate(1000)
var r = yield thread.execute('fastDiff', new Buffer(good), new Buffer(bad))
}
})
Platform Support
OS X, Windows and Linux
Node engine
>=4.0.0
Cpu architectures
Not support arm , mips
Installation
Unix
GCC 4.9.4 or newer
Clang 3.4.2 or newer
Python 2.6 or 2.7
Windows
Building native add-ons: Visual Studio 2013 or Visual C++ Build Tools 2015 or newer
Python 2.6 or 2.7
Once you have Node.js installed:
npm install -g node-gyp
npm install muti-thread
OS X
xcodebuild
Having installation troubles? Check out Supported toolchains
APIs
close 通知线程对象管理的线程退出,即从线程的消息循环中退出,结束线程的运行。线程对象以后不再使用,应该调用这个函数,及时的释放系统资源。如果没有调用这个函数,而线程对象满足 V8 垃圾回收的条件被回收的时候,会自动释放底层资源。因此,这个函数的调用不是必须的。但我们建议,由于线程是系统资源,如果确定不再使用,应该手动调用 close 及时释放底层资源。
isRunning 判断这个线程对象是否存在可用线程。线程对象创建成功后,内部的线程已经就绪,调用这个函数返回 true。close 函数调用之后,isRunning 返回 false。
numOfTasks 交给线程对象执行的任务队列中的个数。即排队中的,还没来得及执行的任务个数。程序中可以创建多个线程对象,可以用这个函数做负载均衡,将任务交给 numOfTasks 个数最小的线程对象。
execute 让线程对象执行一个函数,每个函数就是一个任务,线程对象内部有一个消息队列,抛给线程对象执行的任务以队列的方式按序执行。这样的函数,execute 支持向它传递 [0, 8] 个参数,参数类型为 Buffer,如果是字符串,则自动转为 Buffer。
A simple test report
License
Apache-2.0