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Code running slow? Avoid these 19 common JavaScript and Node.js mistakes to keep your programs running at high speed

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DDDOriginal
2023-09-22 10:50:481531browse

A slow or laggy website is a sign of an amateur, while a smooth, optimized experience will delight users and set pros apart.

But creating truly high-performance web applications is fraught with pitfalls. Bugs abound, and they can slow down JavaScript without you even realizing it. Small oversights can make your code bloated and quietly slow it down bit by bit.

How is this going?

It turns out there are many common ways we can unintentionally slow down JavaScript. Over time, this can hinder website performance.

These mistakes can be avoided.

Today, we’re focusing on 19 performance pitfalls that can quietly slow down your JavaScript and Node.js applications. We'll explore the causes of these problems with illustrative examples and actionable solutions to optimize your code.

Identifying and eliminating these hazards is key to creating a smooth web experience that delights users. So, let’s dig into it!

1. Incorrect variable declarations and scope

When you first learn JavaScript, it is easy to declare all variables globally. However, this can lead to problems down the road. Let's look at an example:

// globals.js
var color = 'blue';
function printColor() {
  console.log(color); 
}
printColor(); // Prints 'blue'

This works fine, but imagine if we load another script:

// script2.js
var color = 'red';
printColor(); // Prints 'red'!

Because color is global, script2.js overrides it! To solve this problem, declare variables inside functions whenever possible:

function printColor() {
  var color = 'blue'; // local variable
  
  console.log(color);
}
printColor(); // Prints 'blue'

Now changes from other scripts will not affect printColor.

Declaring variables in the global scope when unnecessary is a Anti-pattern. Try limiting global variables to configuration constants. For other variables, declare them locally in the smallest possible scope.

2. Inefficient DOM operations

When updating DOM elements, make batch changes instead of operating one node at a time. Consider this example:

const ul = document.getElementById('list');
for (let i = 0; i < 10; i++) {
  const li = document.createElement(&#39;li&#39;);
  li.textContent = i;
  
  ul.appendChild(li);
}

This will append the list items one by one. It's better to build a string first and then set .innerHTML:

const ul = document.getElementById(&#39;list&#39;);
let html = &#39;&#39;;
for (let i = 0; i < 10; i++) {
  html += `<li>${i}</li>`; 
}
ul.innerHTML = html;

Building the string minimizes reflows. We update the DOM once instead of 10 times.

For multiple updates, build the changes and then apply at the end. Or better yet, use DocumentFragment to batch append.

3. Excessive DOM operations

Frequent DOM updates will reduce performance. Consider a chat application that inserts messages into pages.

Negative example:

// New message received
const msg = `<div>${messageText}</div>`;
chatLog.insertAdjacentHTML(&#39;beforeend&#39;, msg);

This is naively inserted into every message. It would be better to limit updates:

Correct example:

let chatLogHTML = &#39;&#39;;
const throttleTime = 100; // ms
// New message received  
chatLogHTML += `<div>${messageText}</div>`;
// Throttle DOM updates
setTimeout(() => {
  chatLog.innerHTML = chatLogHTML;
  chatLogHTML = &#39;&#39;; 
}, throttleTime);

Now, we update at most every 100 milliseconds, thus keeping DOM operations low.

For highly dynamic UIs, consider a virtual DOM library like React. These minimize DOM manipulation using virtual representations.

4. Lack of activity delegation

Attaching event listeners to many elements creates unnecessary overhead. Consider a table with a delete button for each row:

Negative example:

const rows = document.querySelectorAll(&#39;table tr&#39;);
rows.forEach(row => {
  const deleteBtn = row.querySelector(&#39;.delete&#39;);  
  deleteBtn.addEventListener(&#39;click&#39;, handleDelete);
});

This will add a listener for each delete button. Need to use event delegation better:

Correct example:

const table = document.querySelector(&#39;table&#39;);
table.addEventListener(&#39;click&#39;, e => {
  if (e.target.classList.contains(&#39;delete&#39;)) {
    handleDelete(e);
  }
});

Now, there is only one listener on .net, less memory overhead.

Event delegation uses event bubbling. A listener can handle events from multiple descendants. Use delegation whenever applicable.

5. Inefficient string concatenation

When concatenating strings in a loop, performance will be affected. Consider this code:

let html = &#39;&#39;;
for (let i = 0; i < 10; i++) {
  html += &#39;<div>&#39; + i + &#39;</div>&#39;;
}

Creating a new string requires allocating memory. It's better to use an array:

const parts = [];
for (let i = 0; i < 10; i++) {
  parts.push(&#39;<div>&#39;, i, &#39;</div>&#39;);
}
const html = parts.join(&#39;&#39;);

Building an array minimizes the number of intermediate strings. .join() joins the last time.

For multiple string additions, please use array concatenation. Also, consider template literals that embed values.

6. Unoptimized Loops

Loops in JavaScript often cause performance issues. A common mistake is to repeatedly access the array length:

Counterexample:

const items = [/*...*/];
for (let i = 0; i < items.length; i++) {
  // ...
}

Redundant checks for .length can inhibit optimization.

Correct example:

const items = [/*...*/];  
const len = items.length;
for (let i = 0; i < len; i++) {
  // ...
}

Cache length can improve speed. Other optimizations include lifting invariants outside the loop, simplifying termination conditions, and avoiding expensive operations within iterations.

7. Unnecessary synchronization operations

JavaScript 的异步功能是一个关键优势。但要小心阻塞 I/O!例如:

反面例子:

const data = fs.readFileSync(&#39;file.json&#39;); // blocks!

这会在从磁盘读取时停止执行。相反,如果使用回调或承诺:

正确示例:

fs.readFile(&#39;file.json&#39;, (err, data) => {
  // ...
});

现在,事件循环在读取文件时继续。对于复杂的流程,async/await简化异步逻辑。避免同步操作以防止阻塞。

8. 阻止事件循环

JavaScript 使用单线程事件循环。阻止它会停止执行。一些常见的拦截器:

繁重的计算任务

同步输入/输出

未优化的算法

例如:

function countPrimes(max) {
  // Unoptimized loop
  for (let i = 0; i <= max; i++) {
    // ...check if prime...
  }
}
countPrimes(1000000); // Long running!

这会同步执行,并阻止其他事件。避免:

推迟不必要的工作

批量数据处理

使用工作线程

寻找优化机会

保持事件循环顺利运行。定期分析以捕获阻塞代码。

9. 错误处理效率低下

在 JavaScript 中正确处理错误至关重要。但要小心性能陷阱!

反面例子:

try {
  // ...
} catch (err) {
  console.error(err); // just logging
}

这会捕获错误但不采取纠正措施。未处理的错误通常会导致内存泄漏或数据损坏。

正确示例:

try {
  // ...
} catch (err) {
  console.error(err);
  
  // Emit error event 
  emitError(err); 
  
  // Nullify variables
  obj = null;
  
  // Inform user
  showErrorNotice();
}

记录还不够!清理工件、通知用户并考虑恢复选项。使用 Sentry 等工具来监控生产中的错误。明确处理所有错误。

10. 内存泄漏

当内存被分配但从未释放时,就会发生内存泄漏。随着时间的推移,泄漏会累积并降低性能。

JavaScript 中的常见来源包括:

未清理的事件监听器

对已删除 DOM 节点的过时引用

不再需要的缓存数据

闭包中的累积状态

例如:

function processData() {
  const data = [];
  // Use closure to accumulate data
  return function() {
    data.push(getData()); 
  }
}
const processor = processData();
// Long running...keeps holding reference to growing data array!

数组不断变大,但从未被清除。修理:

使用弱引用

清理事件监听器

删除不再需要的引用

限制关闭状态大小

监视内存使用情况并观察增长趋势。在泄漏堆积之前主动消除泄漏。

11. 过度使用依赖项

虽然 npm 提供了无穷无尽的选择,但请抵制过度导入的冲动!每个依赖项都会增加包大小和攻击面。

反面例子:

import _ from &#39;lodash&#39;;
import moment from &#39;moment&#39;; 
import validator from &#39;validator&#39;;
// etc...

为次要实用程序导入整个库。最好根据需要挑选助手:

正确示例:

import cloneDeep from &#39;lodash/cloneDeep&#39;;
import { format } from &#39;date-fns&#39;;
import { isEmail } from &#39;validator&#39;;

只导入您需要的内容。定期检查依赖关系以删除未使用的依赖关系。保持捆绑精简并最大限度地减少依赖性。

12. 缓存不足

缓存允许通过重用先前的结果来跳过昂贵的计算。但它经常被忽视。

反面例子:

function generateReport() {
  // Perform expensive processing
  // to generate report data... 
}
generateReport(); // Computes
generateReport(); // Computes again!

由于输入没有更改,因此可以缓存报告:

正确示例:

let cachedReport;
function generateReport() {
  if (cachedReport) {
    return cachedReport;
  }
  cachedReport = // expensive processing...
  return cachedReport; 
}

现在,重复调用速度很快。

13. 未优化的数据库查询

与数据库交互时,低效的查询可能会降低性能。需要避免的一些问题:

反面例子:

// No indexing
db.find({name: &#39;John&#39;, age: 35}); 
// Unecessary fields
db.find({first: &#39;John&#39;, last:&#39;Doe&#39;, email:&#39;john@doe.com&#39;}, {first: 1, last: 1});
// Too many separate queries
for (let id of ids) {
  const user = db.find({id});
}

这无法利用索引、检索未使用的字段并执行过多的查询。

正确示例:

// Use index on &#39;name&#39; 
db.find({name: &#39;John&#39;}).hint({name: 1});
// Only get &#39;email&#39; field
db.find({first: &#39;John&#39;}, {email: 1}); 
// Get users in one query
const users = db.find({
  id: {$in: ids} 
});

分析并解释计划。战略性地创建索引。避免多次零散的查询。优化数据存储交互。

14. Promise 中错误处理不当

Promise 简化了异步代码。但未经处理的拒绝就是无声的失败!

反面例子:

function getUser() {
  return fetch(&#39;/user&#39;)
    .then(r => r.json()); 
}
getUser();

如果fetch拒绝,异常就不会被注意到。

正确示例:

function getUser() {
  return fetch(&#39;/user&#39;)
    .then(r => r.json())
    .catch(err => console.error(err));
} 
getUser();

链接.catch()可以正确处理错误。

15. 同步网络操作

网络请求应该是异步的。但有时会使用同步变体:

反面例子:

const data = http.getSync(&#39;http://example.com/data&#39;); // blocks!

这会在请求期间停止事件循环。相反,使用回调:

正确示例:

http.get(&#39;http://example.com/data&#39;, res => {
  // ...
});

或者:

fetch(&#39;http://example.com/data&#39;)
  .then(res => res.json())
  .then(data => {
    // ...
  });

异步网络请求允许在等待响应时进行其他处理。避免同步网络调用。

16. 低效的文件 I/O 操作

读/写文件同步阻塞。例如:

反面例子:

const contents = fs.readFileSync(&#39;file.txt&#39;); // blocks!

这会在磁盘 I/O 期间停止执行。

正确示例:

fs.readFile(&#39;file.txt&#39;, (err, contents) => {
  // ...
});
// or promises
fs.promises.readFile(&#39;file.txt&#39;)
   .then(contents => {
     // ...  
   });

这允许事件循环在文件读取期间继续。

对于多个文件,使用流:

function processFiles(files) {
  for (let file of files) {
    fs.createReadStream(file)
      .pipe(/*...*/);
  }
}

避免同步文件操作。使用回调、promise 和流。

17. 忽略性能分析和优化

在出现明显问题之前,很容易忽视性能。但优化应该持续进行!首先使用分析工具进行测量:

浏览器开发工具时间线

Node.js 分析器

第三方分析器

即使性能看起来不错,这也揭示了优化机会:

// profile.js
function processOrders(orders) {
  orders.forEach(o => {
    // ...
  });
}
processOrders(allOrders);

分析器显示processOrders需要 200 毫秒。

分析指导优化。制定绩效预算,如果超出则失败。经常测量并明智地优化。

18. 不利用缓存机制

缓存通过避免重复工作来提高速度。但它经常被遗忘。

反面例子:

// Compute expensive report
function generateReport() {
  // ...heavy processing...
}
generateReport(); // Computes
generateReport(); // Computes again!

相同的输入总是产生相同的输出。我们应该缓存:

正确示例:

// Cache report contents
const cache = {};
function generateReport() {
  if (cache.report) {
    return cache.report;
  }
  const report = // ...compute...
  cache.report = report;
  return report;
}

现在,重复调用速度很快。

19. 不必要的代码重复

重复的代码会损害可维护性和可优化性。

function userStats(user) {
  const name = user.name;
  const email = user.email;
  
  // ...logic...
}
function orderStats(order) {
  const name = order.customerName;
  const email = order.customerEmail;
  // ...logic... 
}

提取是重复的。我们重来:

function getCustomerInfo(data) {
  return {
    name: data.name, 
    email: data.email
  };
}
function userStats(user) {
  const { name, email } = getCustomerInfo(user);
  
  // ...logic...
}
function orderStats(order) {
  const { name, email } = getCustomerInfo(order);
  // ...logic...
}

现在,它只定义一次。

结论

优化 JavaScript 应用程序性能是一个迭代过程。通过学习有效的实践并勤于分析,可以显着提高速度。

需要关注的关键领域包括最大限度地减少 DOM 更改、利用异步技术、消除阻塞操作、减少依赖性、利用缓存以及删除不需要的重复。

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