search
HomeWeb Front-endJS TutorialPerformance test of JSON.parse() and JSON.stringify() (example)

This article brings you the performance test (example) of JSON.parse() and JSON.stringify(). It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you. helped.

JSON.parse(JSON.stringify(obj)) We generally use it for deep copying. To put it bluntly, the process is to use JSON.stringify to serialize js objects (JSON strings), and then use JSON.parse To deserialize (restore) js objects. As for why this line of code can achieve deep copy, what its limitations are, etc., this article does not introduce it. What this article wants to explore is, how efficient is the execution of this line of code? Will it cause any problems if used casually?

First two dependency functions for js performance testing

/**
 * 一个简单的断言函数
 * @param value {Boolean} 断言条件
 * @param desc {String} 一个消息
 */
function assert(value, desc) {
    let li = document.createElement('li');
    li.className = value ? 'pass' : 'fail';
    li.appendChild(document.createTextNode(desc));
    document.getElementById('results').appendChild(li);
}
/**
 * 一个测试套件,定时器是为了多次执行减少误差
 * @param fn {Function} 需要多次执行的代码块(需要测试、比对性能的代码块)
 * @param config {Object} 配置项,maxCount: 执行代码块的for循环次数,times: 定时器执行次数
 */
function intervalTest(fn, config = {}) {
    let maxCount = config.maxCount || 1000;
    let times = config.times || 10;
    let timeArr = [];
    let timer = setInterval(function () {
        let start = new Date().getTime();
        for (let i = 0; i  p + c) / times;
            let p = document.createElement('p');
            p.innerHTML = `for循环:${maxCount}次,定时器执行:${times}次,平均值:${average} ms`;
            document.body.appendChild(p);
        }
    }, 1000);
}

Define some initial data

let jsonData = {
    title: 'hhhhh',
    dateArr: [],
    series: [
        {
            name: 'line1',
            data: []
        },
        {
            name: 'line2',
            data: []
        },
        {
            name: 'line3',
            data: []
        },
    ]
};

let res = [
    {
        name: 'line1',
        value: 1
    },
    {
        name: 'line2',
        value: 2
    },
    {
        name: 'line3',
        value: 3
    },
];

Scenario 1: Simulate real-time update of chart data in a real environment

Data processing function

/**
 * 处理json数据的函数。模拟真实环境中图表数据实时更新
 * @param lastData {Object} 上一次的数据
 * @param res {Array} 当前数据
 * @returns data 处理完成后的结果集
 */
function handleJsonData(lastData, res) {
    // 1. 使用 JSON.parse(JSON.stringify()) 深拷贝
    let data = JSON.parse(JSON.stringify(lastData));

    // 2. 不使用JSON序列化,直接修改参数
    // let data = lastData;

    if (data.dateArr.length > 60) {
        data.dateArr.shift();
        for (let i = 0; i <h4 id="maxCount">maxCount=100</h4><p>Run it, first let maxCount=100, and loop for 100 times</p><pre class="brush:php;toolbar:false">let jsonTest = function () {
    jsonData = handleJsonData(jsonData, res);
};

intervalTest(jsonTest, {maxCount: 100});

1. Use JSON.parse(JSON.stringify ()) The result of deep copy:

Performance test of JSON.parse() and JSON.stringify() (example)

2. The result of directly modifying parameters without using JSON serialization:

function handleJsonData(lastData, res) {
    // 1. 使用 JSON.parse(JSON.stringify()) 深拷贝
    // let data = JSON.parse(JSON.stringify(lastData));

    // 2. 不使用JSON序列化,直接修改参数
    let data = lastData;
    
    // ...
}

Performance test of JSON.parse() and JSON.stringify() (example)

maxCount=1000

intervalTest(jsonTest, {maxCount: 1000});

1. Use JSON.parse(JSON.stringify()) deep copy result:

Performance test of JSON.parse() and JSON.stringify() (example)

2. Do not use JSON serialization, the result of directly modifying parameters:

Performance test of JSON.parse() and JSON.stringify() (example)

maxCount=10000

intervalTest(jsonTest, {maxCount: 10000});

1. Use JSON.parse(JSON.stringify()) deep copy The result:

Performance test of JSON.parse() and JSON.stringify() (example)

#2. Without using JSON serialization, the result of directly modifying the parameters:

Performance test of JSON.parse() and JSON.stringify() (example)

Scenario 2: Determine whether an object is an empty object

// 1. 使用 JSON.stringify() 判断一个对象是否为空对象
let isEmptyObject1 = function () {
    if (JSON.stringify(jsonData) === '{}') {
        // do something
    }
};

// 2. 使用 Object.keys().length 判断一个对象是否为空对象
let isEmptyObject2 = function () {
    if (Object.keys(jsonData).length === 0) {
        // do something
    }
};

Just go through the judgment conditions, there is no execution code inside the if

maxCount=1000

1. Use JSON.stringify() to judge The result of whether an object is an empty object:

intervalTest(isEmptyObject1, {maxCount: 1000});

Performance test of JSON.parse() and JSON.stringify() (example)

2. Use Object.keys().length to determine whether an object is an empty object. :

intervalTest(isEmptyObject2, {maxCount: 1000});

Performance test of JSON.parse() and JSON.stringify() (example)

maxCount=10000

1. The result of using JSON.stringify() to determine whether an object is an empty object:
Performance test of JSON.parse() and JSON.stringify() (example)

2. Use Object.keys().length to determine whether an object is an empty object. The result:

Performance test of JSON.parse() and JSON.stringify() (example)

maxCount=100000

1. Use JSON.stringify() to determine whether an object is an empty object. The result:

Performance test of JSON.parse() and JSON.stringify() (example)

2. Use Object.keys().length to determine whether an object is an empty object. The result:

Performance test of JSON.parse() and JSON.stringify() (example)

The tests on JSON.parse() and JSON.stringify() end here. Changing parameters and changing the executed code block may have different results. , the above results are for reference only.

Small conclusion: If you can not use JSON.parse() and JSON.stringify(), just use alternatives with better performance. PS: Especially code blocks that need to be executed multiple times, especially when the JSON data is relatively large

There is more knowledge about JSON.parse() and JSON.stringify() waiting for you. Go dig and welcome everyone to communicate and learn together~

About JSON.parse(JSON.stringify(obj)): About the pitfalls that should be paid attention to when implementing deep copy of JSON.parse(JSON.stringify(obj))
About deep copy: The ultimate exploration of deep copy (99% of people don’t know)



The above is the detailed content of Performance test of JSON.parse() and JSON.stringify() (example). For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:segmentfault. If there is any infringement, please contact admin@php.cn delete
JavaScript in Action: Real-World Examples and ProjectsJavaScript in Action: Real-World Examples and ProjectsApr 19, 2025 am 12:13 AM

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

JavaScript and the Web: Core Functionality and Use CasesJavaScript and the Web: Core Functionality and Use CasesApr 18, 2025 am 12:19 AM

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

Understanding the JavaScript Engine: Implementation DetailsUnderstanding the JavaScript Engine: Implementation DetailsApr 17, 2025 am 12:05 AM

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python vs. JavaScript: The Learning Curve and Ease of UsePython vs. JavaScript: The Learning Curve and Ease of UseApr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Python vs. JavaScript: Community, Libraries, and ResourcesPython vs. JavaScript: Community, Libraries, and ResourcesApr 15, 2025 am 12:16 AM

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

From C/C   to JavaScript: How It All WorksFrom C/C to JavaScript: How It All WorksApr 14, 2025 am 12:05 AM

The shift from C/C to JavaScript requires adapting to dynamic typing, garbage collection and asynchronous programming. 1) C/C is a statically typed language that requires manual memory management, while JavaScript is dynamically typed and garbage collection is automatically processed. 2) C/C needs to be compiled into machine code, while JavaScript is an interpreted language. 3) JavaScript introduces concepts such as closures, prototype chains and Promise, which enhances flexibility and asynchronous programming capabilities.

JavaScript Engines: Comparing ImplementationsJavaScript Engines: Comparing ImplementationsApr 13, 2025 am 12:05 AM

Different JavaScript engines have different effects when parsing and executing JavaScript code, because the implementation principles and optimization strategies of each engine differ. 1. Lexical analysis: convert source code into lexical unit. 2. Grammar analysis: Generate an abstract syntax tree. 3. Optimization and compilation: Generate machine code through the JIT compiler. 4. Execute: Run the machine code. V8 engine optimizes through instant compilation and hidden class, SpiderMonkey uses a type inference system, resulting in different performance performance on the same code.

Beyond the Browser: JavaScript in the Real WorldBeyond the Browser: JavaScript in the Real WorldApr 12, 2025 am 12:06 AM

JavaScript's applications in the real world include server-side programming, mobile application development and Internet of Things control: 1. Server-side programming is realized through Node.js, suitable for high concurrent request processing. 2. Mobile application development is carried out through ReactNative and supports cross-platform deployment. 3. Used for IoT device control through Johnny-Five library, suitable for hardware interaction.

See all articles

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

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)