A brief introduction to the webpack packager
Concept
Webpack is a module packager for modern javascript applications.
When webpack processes your application, it recursively builds a dependency graph (containing every module your application needs), and then packages these modules into a handful of Budle files (usually There is only one, which will be loaded by the browser, depending on the project situation).
This is an incredible configuration, but before you get started, you only need to understand four core concepts: entry, output, loaders, and plugins.
Configuration Object Options
webpack.config.js
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 |
|
The purpose of this document is to provide a high-level outline of these concepts , while providing links to specified use cases for detailed concepts.
Entry
webpack creates a dependency graph of all your applications. The starting point of this dependency graph is the known entry point. This entry point tells webpack where to start and package it based on a known dependency graph. You can think of your application's entry point as the context root or the first file that starts your application.
Define the entry point in the entry attribute of the webpack configuration object. A simple example is as follows:
1 2 3 |
|
There are several ways to declare the entry attribute:
1. Single entry syntax
1 2 3 4 5 |
|
2. Object syntax
1 2 3 4 5 6 |
|
3. Multi-page application
1 2 3 4 5 6 7 |
|
Output
Once you package all the code, you still need to tell webpack where to package it. The output attribute tells webpack how to treat your code.
1 2 3 4 5 6 7 8 9 |
|
In the above example, we use the output.filename
and output.path
properties to tell webpack the packaged file name and path
More configuration items
Loaders
The purpose of this configuration item is to let webpack focus on all the code of your project instead of the browser (this does not mean that they will be packaged together). webpack treats each file (.css, .html, .scss, .jpg, etc.) as a module. However, webpack only knows javascript.
Loaders in webpack will convert these files into modules and add them to your dependency graph.
At a high level, there are two purposes in your webpack configuration:
1. Identify what files should be converted with a certain loader.
2. The converted files can be added to your dependency graph.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
|
The above configuration defines a rulues attribute for a separate module. This module has two attributes: test and use. This tells webpack to compile the following things:
When using require() or import statements, files with a .js or .jsx suffix in the path are converted and packaged using babel-loader.
More configuration items
Plugins
Because the loader only performs conversions on a per-file basis, plug-ins are the most commonly used (but not limited to) optimization behavior, and you Custom functions can be defined in editors or blocks of your packaged modules (etc.).
The webpack plug-in system is extremely powerful and customizable.
To use a plugin, you just require() and add it to the plugins array. More plugins can be customized with options. Since you can use a plugin multiple times in a configuration for different purposes, you will need to create a new instance.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
|
webpack provides many out-of-the-box plugins! More information can be obtained from our plugin list.
Using plugins in a webpack configuration is simple, however there are many usages worth exploring further.
More configuration items
Simple example
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 |
|
The above is the detailed content of A brief introduction to the webpack packager. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics





The hard disk serial number is an important identifier of the hard disk and is usually used to uniquely identify the hard disk and identify the hardware. In some cases, we may need to query the hard drive serial number, such as when installing an operating system, finding the correct device driver, or performing hard drive repairs. This article will introduce some simple methods to help you check the hard drive serial number. Method 1: Use Windows Command Prompt to open the command prompt. In Windows system, press Win+R keys, enter "cmd" and press Enter key to open the command

Diffusion can not only imitate better, but also "create". The diffusion model (DiffusionModel) is an image generation model. Compared with the well-known algorithms such as GAN and VAE in the field of AI, the diffusion model takes a different approach. Its main idea is a process of first adding noise to the image and then gradually denoising it. How to denoise and restore the original image is the core part of the algorithm. The final algorithm is able to generate an image from a random noisy image. In recent years, the phenomenal growth of generative AI has enabled many exciting applications in text-to-image generation, video generation, and more. The basic principle behind these generative tools is the concept of diffusion, a special sampling mechanism that overcomes the limitations of previous methods.

Kimi: In just one sentence, in just ten seconds, a PPT will be ready. PPT is so annoying! To hold a meeting, you need to have a PPT; to write a weekly report, you need to have a PPT; to make an investment, you need to show a PPT; even when you accuse someone of cheating, you have to send a PPT. College is more like studying a PPT major. You watch PPT in class and do PPT after class. Perhaps, when Dennis Austin invented PPT 37 years ago, he did not expect that one day PPT would become so widespread. Talking about our hard experience of making PPT brings tears to our eyes. "It took three months to make a PPT of more than 20 pages, and I revised it dozens of times. I felt like vomiting when I saw the PPT." "At my peak, I did five PPTs a day, and even my breathing was PPT." If you have an impromptu meeting, you should do it

In the early morning of June 20th, Beijing time, CVPR2024, the top international computer vision conference held in Seattle, officially announced the best paper and other awards. This year, a total of 10 papers won awards, including 2 best papers and 2 best student papers. In addition, there were 2 best paper nominations and 4 best student paper nominations. The top conference in the field of computer vision (CV) is CVPR, which attracts a large number of research institutions and universities every year. According to statistics, a total of 11,532 papers were submitted this year, and 2,719 were accepted, with an acceptance rate of 23.6%. According to Georgia Institute of Technology’s statistical analysis of CVPR2024 data, from the perspective of research topics, the largest number of papers is image and video synthesis and generation (Imageandvideosyn

We know that LLM is trained on large-scale computer clusters using massive data. This site has introduced many methods and technologies used to assist and improve the LLM training process. Today, what we want to share is an article that goes deep into the underlying technology and introduces how to turn a bunch of "bare metals" without even an operating system into a computer cluster for training LLM. This article comes from Imbue, an AI startup that strives to achieve general intelligence by understanding how machines think. Of course, turning a bunch of "bare metal" without an operating system into a computer cluster for training LLM is not an easy process, full of exploration and trial and error, but Imbue finally successfully trained an LLM with 70 billion parameters. and in the process accumulate

Editor of the Machine Power Report: Yang Wen The wave of artificial intelligence represented by large models and AIGC has been quietly changing the way we live and work, but most people still don’t know how to use it. Therefore, we have launched the "AI in Use" column to introduce in detail how to use AI through intuitive, interesting and concise artificial intelligence use cases and stimulate everyone's thinking. We also welcome readers to submit innovative, hands-on use cases. Video link: https://mp.weixin.qq.com/s/2hX_i7li3RqdE4u016yGhQ Recently, the life vlog of a girl living alone became popular on Xiaohongshu. An illustration-style animation, coupled with a few healing words, can be easily picked up in just a few days.

Title: A must-read for technical beginners: Difficulty analysis of C language and Python, requiring specific code examples In today's digital age, programming technology has become an increasingly important ability. Whether you want to work in fields such as software development, data analysis, artificial intelligence, or just learn programming out of interest, choosing a suitable programming language is the first step. Among many programming languages, C language and Python are two widely used programming languages, each with its own characteristics. This article will analyze the difficulty levels of C language and Python

Retrieval-augmented generation (RAG) is a technique that uses retrieval to boost language models. Specifically, before a language model generates an answer, it retrieves relevant information from an extensive document database and then uses this information to guide the generation process. This technology can greatly improve the accuracy and relevance of content, effectively alleviate the problem of hallucinations, increase the speed of knowledge update, and enhance the traceability of content generation. RAG is undoubtedly one of the most exciting areas of artificial intelligence research. For more details about RAG, please refer to the column article on this site "What are the new developments in RAG, which specializes in making up for the shortcomings of large models?" This review explains it clearly." But RAG is not perfect, and users often encounter some "pain points" when using it. Recently, NVIDIA’s advanced generative AI solution
