Using Node for web page development is basically to connect to the non-relational database mongodb. Here I tried to connect to the mysql database first, because mongodb is too unfamiliar compared to mysql, and I wanted to get the page out quickly, so I chose Relatively familiar with some mysql.
1. Install mysql
Download MySQL:MySQL Downloads and install it. After installation, you will be guided to configure the database, set the root password and create a normal user and password.
2. Install Node-mysql
Install the mysql software package through npm, which allows you to quickly call functions to connect to the mysql database. Enter the project folder and execute npm install mysql --save.
After installation, the mysql directory will be generated in the node_modules directory of the project folder.
3. View readme document
Enter the mysql directory and view the README document. This step is very important. Do not search on Baidu and Google for how to use it, because due to different versions, the answer you get may not allow you to successfully connect to the database. After all, Node is developing so fast.
If you read the README document carefully, you don’t need to read the next steps to avoid misleading you due to inconsistent versions.
4. Connect to mysql database
Enter the project document, create a new TestMysql.js example, and write the following code:
var mysql = require('mysql'); var connection = mysql.createConnection({ host : 'localhost', user : 'me', password : 'secret', database : 'my_db' }); connection.connect(); connection.query('SELECT 1 + 1 AS solution', function(err, rows, fields) { if (err) throw err; console.log('The solution is: ', rows[0].solution); }); connection.end();
Basic connection parameters
- host host name, localhost represents local
- user Mysql user
- password password
- database connected database
client.connect() connects to the database
client.query() executes SQL statement
client.end() closes the connection.
Then execute the program through node TestMysql.js, making sure you have started the Mysql service before executing.
5. Add, delete, modify and check
Using a database is nothing more than adding, deleting, modifying, and checking. The following example may be helpful to you.
var mysql = require('mysql'); var connection = mysql.createConnection({ host : 'localhost', user : 'me', password : 'secret', database : 'my_db' }); connection.connect(); // 增加记录 client.query('insert into test (username ,password) values ("lupeng" , "123456")'); // 删除记录 client.query('delete from test where username = "lupeng"'); // 修改记录 client.query('update test set username = "pengloo53" where username = "lupeng"'); // 查询记录 client.query("select * from test" , function selectTable(err, rows, fields){ if (err){ throw err; } if (rows){ for(var i = 0 ; i < rows.length ; i++){ console.log("%d\t%s\t%s", rows[i].id,rows[i].username,rows[i].password); } } }); connection.end();
At this point, the initial connection to the Mysql database has come to an end, and you can then use it in the Node project.
Hope everyone will continue to pay attention.

JavaScript core data types are consistent in browsers and Node.js, but are handled differently from the extra types. 1) The global object is window in the browser and global in Node.js. 2) Node.js' unique Buffer object, used to process binary data. 3) There are also differences in performance and time processing, and the code needs to be adjusted according to the environment.

JavaScriptusestwotypesofcomments:single-line(//)andmulti-line(//).1)Use//forquicknotesorsingle-lineexplanations.2)Use//forlongerexplanationsorcommentingoutblocksofcode.Commentsshouldexplainthe'why',notthe'what',andbeplacedabovetherelevantcodeforclari

The main difference between Python and JavaScript is the type system and application scenarios. 1. Python uses dynamic types, suitable for scientific computing and data analysis. 2. JavaScript adopts weak types and is widely used in front-end and full-stack development. The two have their own advantages in asynchronous programming and performance optimization, and should be decided according to project requirements when choosing.

Whether to choose Python or JavaScript depends on the project type: 1) Choose Python for data science and automation tasks; 2) Choose JavaScript for front-end and full-stack development. Python is favored for its powerful library in data processing and automation, while JavaScript is indispensable for its advantages in web interaction and full-stack development.

Python and JavaScript each have their own advantages, and the choice depends on project needs and personal preferences. 1. Python is easy to learn, with concise syntax, suitable for data science and back-end development, but has a slow execution speed. 2. JavaScript is everywhere in front-end development and has strong asynchronous programming capabilities. Node.js makes it suitable for full-stack development, but the syntax may be complex and error-prone.

JavaScriptisnotbuiltonCorC ;it'saninterpretedlanguagethatrunsonenginesoftenwritteninC .1)JavaScriptwasdesignedasalightweight,interpretedlanguageforwebbrowsers.2)EnginesevolvedfromsimpleinterpreterstoJITcompilers,typicallyinC ,improvingperformance.

JavaScript can be used for front-end and back-end development. The front-end enhances the user experience through DOM operations, and the back-end handles server tasks through Node.js. 1. Front-end example: Change the content of the web page text. 2. Backend example: Create a Node.js server.

Choosing Python or JavaScript should be based on career development, learning curve and ecosystem: 1) Career development: Python is suitable for data science and back-end development, while JavaScript is suitable for front-end and full-stack development. 2) Learning curve: Python syntax is concise and suitable for beginners; JavaScript syntax is flexible. 3) Ecosystem: Python has rich scientific computing libraries, and JavaScript has a powerful front-end framework.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Zend Studio 13.0.1
Powerful PHP integrated development environment

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
