Home Web Front-end HTML Tutorial How to solve page redraw and reflow issues and improve page performance

How to solve page redraw and reflow issues and improve page performance

Jan 26, 2024 am 09:57 AM
Performance optimization Page redraw Page reflow

How to solve page redraw and reflow issues and improve page performance

Optimize page performance: How to effectively solve the problem of page redrawing and reflow,
Require specific code examples

With the rapid development of the Internet, web pages have become One of the main platforms for people to obtain information and communicate. In daily use, we will inevitably encounter some problems such as slow page loading, freezing, flickering, etc. These problems are often related to page redrawing and reflow.

The so-called page redrawing means that when the style of an element of the page changes, the browser needs to redraw this element; while page reflow means that the page layout and geometric attributes change and need to be recalculated element's position and size, and then redraws the entire page. Redraw and reflow are important factors in browser performance bottlenecks, which can lead to slower page loading and reduced user experience.

In order to solve the problem of page redrawing and reflow, we can start from the following aspects:

1. Use transform to replace attributes such as top and left: when the position of the element changes, use Changing the transform attribute can avoid reflow. For example, we can change the position of the element through the following code:

// 不推荐
element.style.top = '100px';
element.style.left = '100px';

// 推荐
element.style.transform = 'translate(100px, 100px)';
Copy after login

2. Batch modification of styles: avoid frequently modifying the style of a single element, and try to concentrate the modifications of multiple styles together. For example, we can use class to modify the styles of multiple elements at once:

// 不推荐
element1.style.color = 'red';
element2.style.color = 'blue';
element3.style.color = 'green';

// 推荐
// CSS代码
/*
.red{
  color: red;
}
.blue{
  color: blue;
}
.green{
  color: green;
}
*/
// JavaScript代码
element1.classList.add('red');
element2.classList.add('blue');
element3.classList.add('green');
Copy after login

3. Use document fragments: When using JavaScript to dynamically generate DOM elements, we can use document fragments (DocumentFragment) to add elements in batches , rather than adding elements one at a time. This reduces the number of redraws and reflows.

// 不推荐
for(let i = 0; i < 1000; i++){
  let element = document.createElement('div');
  document.body.appendChild(element);
}

// 推荐
let fragment = document.createDocumentFragment();
for(let i = 0; i < 1000; i++){
  let element = document.createElement('div');
  fragment.appendChild(element);
}
document.body.appendChild(fragment);
Copy after login

4. Reasonable use of layout methods: avoid frequently changing layout methods, and try to use position attributes or flex layout and other methods to reduce the number of reflows. In addition, reflow will be triggered when using properties such as offsetWidth and offsetHeight. You should try to avoid using these properties too much.

In addition to the above methods, we can also use animation and transition effects in CSS3 to reduce the number of redraws and reflows, as well as use throttling and anti-shake technologies to control the triggering frequency of events and reduce duplication. redraw and reflow.

To sum up, optimizing page performance mainly includes avoiding unnecessary redrawing and reflow operations, and rationally using layout methods and related attributes. By optimizing these aspects, we can improve the loading speed of the page and improve the user experience.

[Number of words: 459]

The above is the detailed content of How to solve page redraw and reflow issues and improve page performance. 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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

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