Home Web Front-end JS Tutorial Master performance optimization and code compression in JavaScript

Master performance optimization and code compression in JavaScript

Nov 04, 2023 pm 04:19 PM
javascript Performance optimization code compression

Master performance optimization and code compression in JavaScript

Mastering performance optimization and code compression in JavaScript requires specific code examples

As the complexity of web applications continues to increase, optimizing JavaScript code to improve performance changes becomes more and more important. At the same time, code compression can reduce file size and speed up loading. This article will introduce some common performance optimization techniques and code compression methods, and provide specific code examples.

1. Performance optimization tips

  1. Reduce HTTP requests
    HTTP requests are a major bottleneck in the loading speed of web applications. By merging and compressing files, the number of HTTP requests can be reduced. For example, when there are multiple JavaScript files, you can use tools to merge them into one file to reduce the number of HTTP requests for the page.

    //将多个文件合并为一个文件
    //<script src="file1.js"></script>
    //<script src="file2.js"></script>
    //<script src="file3.js"></script>
    
    //合并后
    //<script src="combined.js"></script>
    Copy after login
  2. Reasonable use of cache
    Cache is an important means to improve the performance of web applications. Reasonable use of cache can avoid repeated requests and reduce network transmission time. In JavaScript, files that do not change frequently can be set to be permanently cached, such as images, CSS, and JavaScript libraries.

    //设置缓存过期时间为1年
    //<link rel="stylesheet" href="style.css" type="text/css" media="all" />
    //Expires: Thu, 31 Dec 2022 23:59:59 GMT
    
    //对于经常变化的文件,可以设置较短的缓存时间
    //<script src="main.js" type="text/javascript"></script>
    //Cache-Control: max-age=3600
    Copy after login
  3. Using event delegation
    In JavaScript, event delegation is a common technique for optimizing performance. By binding events to container elements instead of each child element, you can reduce the number of event handling functions and improve performance.

    //原始代码
    //<ul id="list">
    //  <li>Item1</li>
    //  <li>Item2</li>
    //  <li>Item3</li>
    //</ul>
    
    // for (var i = 0; i < listItems.length; i++) {
    //   listItems[i].addEventListener('click', function() {
    //     console.log('Clicked item ' + i);
    //   });
    // }
    
    //优化后的代码
    //<ul id="list">
    //  <li>Item1</li>
    //  <li>Item2</li>
    //  <li>Item3</li>
    //</ul>
    
    // list.addEventListener('click', function(event) {
    //   if (event.target.tagName === 'LI') {
    //     console.log('Clicked item ' + event.target.textContent);
    //   }
    // });
    Copy after login
  4. Avoid using global variables
    Global variables are slower to access in JavaScript. When variables are defined in the local scope, dependence on global variables can be reduced and code execution efficiency can be improved.

    //全局变量
    var x = 5;
    function foo() {
      console.log(x);
    }
    
    //局部变量
    function bar() {
      var x = 5;
      console.log(x);
    }
    Copy after login

2. Code Compression

Code compression is a common method to reduce the size of JavaScript files. Compressed code not only speeds up loading, but also reduces network transfer time. The following are some commonly used code compression methods:

  1. Remove spaces and newlines
    Spaces and newlines do not affect the execution of the code in JavaScript. They can be deleted through tools to reduce the size of the file. size.
  2. Delete comments
    During the compression process, useless comments can be deleted to reduce the file size.
  3. Compress variable and function names
    When variable and function names are executed in JavaScript, it is not necessary to retain the original names. You can reduce the file size by compressing them into short strings.

The above are some commonly used performance optimization techniques and code compression methods. I hope they will be helpful to you. By rationally using these technologies, you can improve the execution efficiency of JavaScript code, reduce file size, and speed up page loading.

The above is the detailed content of Master performance optimization and code compression in JavaScript. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Performance optimization and horizontal expansion technology of Go framework? Performance optimization and horizontal expansion technology of Go framework? Jun 03, 2024 pm 07:27 PM

In order to improve the performance of Go applications, we can take the following optimization measures: Caching: Use caching to reduce the number of accesses to the underlying storage and improve performance. Concurrency: Use goroutines and channels to execute lengthy tasks in parallel. Memory Management: Manually manage memory (using the unsafe package) to further optimize performance. To scale out an application we can implement the following techniques: Horizontal Scaling (Horizontal Scaling): Deploying application instances on multiple servers or nodes. Load balancing: Use a load balancer to distribute requests to multiple application instances. Data sharding: Distribute large data sets across multiple databases or storage nodes to improve query performance and scalability.

C++ Performance Optimization Guide: Discover the secrets to making your code more efficient C++ Performance Optimization Guide: Discover the secrets to making your code more efficient Jun 01, 2024 pm 05:13 PM

C++ performance optimization involves a variety of techniques, including: 1. Avoiding dynamic allocation; 2. Using compiler optimization flags; 3. Selecting optimized data structures; 4. Application caching; 5. Parallel programming. The optimization practical case shows how to apply these techniques when finding the longest ascending subsequence in an integer array, improving the algorithm efficiency from O(n^2) to O(nlogn).

Optimizing rocket engine performance using C++ Optimizing rocket engine performance using C++ Jun 01, 2024 pm 04:14 PM

By building mathematical models, conducting simulations and optimizing parameters, C++ can significantly improve rocket engine performance: Build a mathematical model of a rocket engine and describe its behavior. Simulate engine performance and calculate key parameters such as thrust and specific impulse. Identify key parameters and search for optimal values ​​using optimization algorithms such as genetic algorithms. Engine performance is recalculated based on optimized parameters to improve its overall efficiency.

The Way to Optimization: Exploring the Performance Improvement Journey of Java Framework The Way to Optimization: Exploring the Performance Improvement Journey of Java Framework Jun 01, 2024 pm 07:07 PM

The performance of Java frameworks can be improved by implementing caching mechanisms, parallel processing, database optimization, and reducing memory consumption. Caching mechanism: Reduce the number of database or API requests and improve performance. Parallel processing: Utilize multi-core CPUs to execute tasks simultaneously to improve throughput. Database optimization: optimize queries, use indexes, configure connection pools, and improve database performance. Reduce memory consumption: Use lightweight frameworks, avoid leaks, and use analysis tools to reduce memory consumption.

How to use profiling in Java to optimize performance? How to use profiling in Java to optimize performance? Jun 01, 2024 pm 02:08 PM

Profiling in Java is used to determine the time and resource consumption in application execution. Implement profiling using JavaVisualVM: Connect to the JVM to enable profiling, set the sampling interval, run the application, stop profiling, and the analysis results display a tree view of the execution time. Methods to optimize performance include: identifying hotspot reduction methods and calling optimization algorithms

What are the common methods for program performance optimization? What are the common methods for program performance optimization? May 09, 2024 am 09:57 AM

Program performance optimization methods include: Algorithm optimization: Choose an algorithm with lower time complexity and reduce loops and conditional statements. Data structure selection: Select appropriate data structures based on data access patterns, such as lookup trees and hash tables. Memory optimization: avoid creating unnecessary objects, release memory that is no longer used, and use memory pool technology. Thread optimization: identify tasks that can be parallelized and optimize the thread synchronization mechanism. Database optimization: Create indexes to speed up data retrieval, optimize query statements, and use cache or NoSQL databases to improve performance.

How to quickly diagnose PHP performance issues How to quickly diagnose PHP performance issues Jun 03, 2024 am 10:56 AM

Effective techniques for quickly diagnosing PHP performance issues include using Xdebug to obtain performance data and then analyzing the Cachegrind output. Use Blackfire to view request traces and generate performance reports. Examine database queries to identify inefficient queries. Analyze memory usage, view memory allocations and peak usage.

Nginx Performance Tuning: Optimizing for Speed and Low Latency Nginx Performance Tuning: Optimizing for Speed and Low Latency Apr 05, 2025 am 12:08 AM

Nginx performance tuning can be achieved by adjusting the number of worker processes, connection pool size, enabling Gzip compression and HTTP/2 protocols, and using cache and load balancing. 1. Adjust the number of worker processes and connection pool size: worker_processesauto; events{worker_connections1024;}. 2. Enable Gzip compression and HTTP/2 protocol: http{gzipon;server{listen443sslhttp2;}}. 3. Use cache optimization: http{proxy_cache_path/path/to/cachelevels=1:2k

See all articles