Analysis of nodejs database web page requirements

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Release: 2023-05-18 09:03:37
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1. Background introduction
Node.js is a platform that allows JavaScript to run on the server side. Compared with the traditional back-end framework based on the MVC model, Node.js has very different advantages, such as asynchronous I /O, event driven, etc. Therefore, Node.js has become extremely advantageous when implementing large-scale, high-concurrency, and real-time web applications. In the development process of Node.js, data CRUD (create, read, update, delete) is a very important link, which is usually implemented using various databases.

2. Requirements Analysis
Against this background, this article will explore how to use Node.js to implement database-based web applications. We assume that we now need to develop a web application that meets the following requirements:

  1. For ordinary users, they can use a browser to access the page and query the published data;
  2. For administrators , they need to log in before they can add, delete or modify data.
    Based on this requirement, we will consider the following points:
  3. Select an appropriate database;
  4. How to receive request data from the client;
  5. How to connect the server to The data is rendered to the client.

3. Choose the appropriate database
For Node.js, almost all types of databases can be used, such as relational databases such as MySQL and PostgreSQL, or NoSQL databases such as MongoDB and Redis. wait. Different database types have their own advantages and disadvantages, so you should carefully consider your application scenarios and needs when choosing a database.
In this requirement, the data table involved is not very complex, so we can choose to use MongoDB as the back-end database. MongoDB is a NoSQL database that is tightly integrated with JavaScript and can easily handle large and distributed data sets. In addition, MongoDB has high performance and scalability, which can meet this demand.

4. Receive request data from the client
In Node.js, the HTTP module receives requests. We can write programs to listen to HTTP requests and process request data to implement CRUD operations on data.
In this requirement, we need to process HTTP requests from the client, so we can use the help of the Express.js framework. Through Express.js, we can easily implement request routing, process request data and other operations.
The following is a basic example code of Express.js capabilities:

var express = require('express');
var app = express();

// 处理根路径的GET请求
app.get('/', function (req, res) {
  res.send('Hello World!');
});

// 处理/login路径的POST请求
app.post('/login', function (req, res) {
  res.send('POST request to /login');
});

app.listen(8080, function () {
  console.log('Example app listening on port 8080!');
});
Copy after login

With the above code, we can implement a simple HTTP request routing very quickly. In this requirement, we also need to parse the data in the HTTP request and process it accordingly according to the requirements.

5. Render server-side data to the client
In Node.js development, common template engines include Pug, EJS, etc. These template engines enable developers to build dynamic content in a templated manner.
In this requirement, we can use the template engine to easily render server-side data to the client. The following is a code example rendered using the Pug template engine:

var express = require('express');
var app = express();

app.set('views', './views'); // 指定模板目录
app.set('view engine', 'pug'); // 指定模板引擎为Pug

app.get('/', function(req, res) {
  res.render('index', { title: 'Express', message: 'Hello World!' }); // 指定视图文件和相关数据
});

app.listen(8080, function() {
  console.log('Example app listening on port 8080!');
});
Copy after login

In the above example, we define a view template named index.pug, which will be rendered into HTML and returned to the client. In this template, we can use template language-like syntax, such as #{title} and #{message}, to embed data into the template and finally output it to HTML.

6. Summary
This article shares how to use Node.js to implement database-based web applications, including selecting the appropriate database type, HTTP request processing, and data rendering methods. In the actual development process, other issues will also be involved, which require continuous learning and thinking. I hope that readers can have a deeper understanding of Node.js-related development through the introduction of this article, and then be able to better apply it to actual projects.

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