众所周知,Node.js 的出现造就了全栈工程师,因为它让 JavaScript 的舞台从浏览器扩大到了服务端
而 Node.js 的强大也得益于它庞大的模块库,所以学习 Node.js 第一步还得从模块开始~
一、安装 Node.js 和 npm
在 Node.js 中文网下载合适的安装包
安装的过程十分简单,只需要一直点 next 就行。安装 node.js 的同时会自带 npm (node package manager)
安装完成后,使用命令行工具输入 node -v 和 npm -v,如果能显示出版本号,就说明安装成功。
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然后输入 node 进入环境,就可以运行 JavaScript 语句了
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连按两次 Ctrl+C 就能退出 Node.js 环境
二、创建模块
上面只是在命令行中运行 Node 程序,在实际开发的时候需要一个集成开发环境
我一般使用 Visual Studio Code 作为开发工具,具体的环境搭建可以参考廖雪峰大神的视频讲解
手动创建一个项目结构:
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其中 app.js 是入口文件,wise_module 用来存放模块, .vscode 是开发工具生成的配置目录
然后在 wise_module 目录下创建 hello.js
// hello.js 'use strict'; function hello(name) {
console.log('hello', name);
} module.exports = hello;
这个 hello.js 就是一个模块,通过 module.exports 将函数 hello 作为输出结果暴露出来
别的模块就能够通过 require 引入 hello 函数:
// app.js 'use static'; let hello = require('./wise_module/hello');
hello('wise wrong');
运行结果:
aaarticlea/png;base64,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" alt="" />
三、深入解析 require
aaarticlea/png;base64,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" alt="" />
可以看到 app.js 中的 require 后面接的是相对路径
如果改成这样:
aaarticlea/png;base64,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" alt="" />
就会提示找不到对应模块
aaarticlea/png;base64,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" alt="" />
这是因为在没有具体路径的时候,require 会首先检查 node.js 核心模块(如 "fs"),
然后检查 node_modules,最后检查环境变量 NODE_PATH 指定的目录
这里我们可以新建一个 node_modules 文件夹,将 hello.js 挪过去
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rU0DTDcoKYVQest6OU6xDKHYPqbWkaPEKlE5BUdEpVodTRRmobzvokgnmb5gVDq4zkzUoNrJbZujq3IfxyKGD5xGKIS4/I85DpKMqMZqMtVRW7/EdR1u1HTJRyHeWO4TaHvUAAVYU6AzZTV10GMiEbWmXEt4HV5RyGhJRDActn+YZ49Yg+U2cCoNwxjE6ZZOqq9c8vHqvTQIhQrmOnqflXDuFPkb2TaM8RJmRDayiUO4ZPg+q885CQcihg+SzZkJs3b/7khyQFlvBwYOculNoGVaqCJUZbMichStX69YxQriOkLkIQSzbEfwi4kCGccihg+SRtT11qG9RoS0VZn4yti7JOdblY7hhMvEcp1zFfNM1mSGiVkaKse4ZF5lmTLs0uHCO/YEPm1B7MT9IMIeWOQTVF0aZxILUNqnY6BhtGUcp1mBvvncpsyzyzGRJeZaTcMVxTa6Ek6+xgr9wxnLfpnMk7HzL8cihg+STOELOQreNXtdwxDMMhSMRyHcWmRqmhyuX8FiFEyOxIdaUXkl53RkNCqowQa8l5ujxbqvcMTWOfEYLU1u0G3tVg1zCMWw4FLJ/EGWJOOJzVn80VWDZIo5brcBYAMRwVQPyZ1RDPRbzXYHcbzRt0dck20NV2pczfMQwuhwKWT/IMASBJwBAAeFxKQ4qyPSbCpgLgcykNASAyMAQAHjAEAB4wBAAeMAQAHjAEAB4wBAAeMAQAHjAEAB4wBAAeMAQAHjAEAB4wBAAeMAQAHsszRLh39fa9q8KN6ZGN+xuPDjbzB5uPHn/JHk8CF72+AlgVSzNEeDXItQa5V/uEEELubvzYedga5Kavj7c2lnWpZXDR6yuAVRGLIVcenXzXGuRag2zt/faLxvarjw/+Xrm6rCsBsEJiMeSrH09zrUHun78m6rEBwBzEYsi1Z5/NwdVfnj/7cuP6DL1k9+odNnMJW4fAStMmluWef2mA0AYskesrgMtNPPOQjadf/zKdhPz3q9cbEdO6Vdtap1bKZgRCBLHc1tk07FWFUkPTDCuzFNnKVzs6ZbK7hzZwXClSfQVw6Ylppk7Itezm848P7Jn6P0+E2YdcQq3HJBY1szo70hdOkn5mojVgiVJfAYD4DLG49eVf3/9Pa5BrDb4t3Zu5U0cytapCvSlwS+7E6LwGLFHqKwCwNEO+v/vLINcafHf4lBBCCDv32N9uDXKtwf39KIkBhUypfNxWlJ5mGIYzR4/vL31R1inVmjuRGrBEqK8AwOKGbJTeb79o/Ll2au5+bD+6Tgi58vjjw399vveiwbx1eveb0M6sHLha57hWlXbEbKbkfoZ4slmzudVDG7BEqK8AwMKG3Ltdm87Isy/2zU2PGy/YvcJBrnX658f3wzvL1N0FzTyGeMZLbAWb0AYsUeorALCoIdevZJ5u5g8288827txijt+4cvv7G/mDzfzB5oPvr1yL1pnn597MjegwxFntwFExMLwBS5T6CgAk6i8XhXLHoFST9zICETKlmqIbhuE0xDAMQ23uWVVlZdVgq86GNLC6b7LrV2H1FcClJ0mGECKU7DLmVO/JkuSdh0iSYz+wLE5DOaRBsCG8+grgkpMsQ7gEj4uiNnA39lniAsDJZTXELikKAJdLachW8Vg17PEWABwumSEVJewvGgFwcIEMAWANwBAAeMAQAHjAEAB4wBAAeMAQAHjAEAB4wBAAeMAQAHj8P5ShdM4WcguMAAAAAElFTkSuQmCC" alt="" />
aaarticlea/png;base64,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" alt="" />
这时就能正常运行了
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上面的 hello 模块是一个 js 文件,如果 hello 是一个文件夹,就需要在目录下创建一个 index.js 作为模块的入口
实际项目中,node_modules 是由 package.json 生成,里面用来存放第三方依赖库
自己开发的模块还是需要放到其他文件目录下,然后通过 require( /*相对路径*/ ) 引入
在 Node 这个由异步操作构成的环境中,require 是少有的几个同步 I/O 操作之一
为了避免堵塞,建议只在程序最初加载的时候使用 require,在程序中 I/O 密集的地方就要避免使用。
四、模块的两种导出方式
把上面示例中 hello.js 放回 wise_module 目录,然后把导出方式改写一下:
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" alt="" />
用 exports 这种方式导出的时候,将 hello 函数作为导出对象的一个键值给暴露出来
在 app.js 中调用的时候就需要这样调用:
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" alt="" />
如果把导出的代码改为下面这样,也能正常工作
aaarticlea/png;base64,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" alt="" />
看起来 exports 变量和 module.exports 变量似乎是同一个变量
但实际上还是有些区别,比如 exports 不能直接赋值
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" alt="" />
这是因为 exports 只是对 module.exports 的一个全局引用,会在程序加载时初始化为一个空对象
而这个对象 exports 不能被赋值或者重写,那样 exports 就不再指向 module.exports
不过 module.exports 就没有这个顾虑,可以随意的赋值重写
在需要导出多个模块的时候,还可以这么写:
aaarticlea/png;base64,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" alt="" />
exports 作为 module.exports 的衍生产物,虽然可以应对大多数情况,但仍有不足之处
所以模块导出的时候,建议使用 module.exports = * 这种方式来输出