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Normal Attribute vs Class Selector vs ID Selector
(version: 0)
Comparing performance of:
Class vs ID vs attribute
Created:
2 years ago
by:
Guest
Go to the latest result
HTML Preparation code:
<div class="hello" id="hello" hello>Hello</div>
Tests:
Class
document.querySelector('.hello');
ID
document.querySelector('#hello');
attribute
document.querySelector('[hello]');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Class
ID
attribute
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
Browser/OS:
Chrome 124 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=523540" width="100%" height="500px"></iframe>
Class
7.4M/s
ID
5.6M/s
attribute
4.8M/s
View exact numbers
Test name
Executions per second
✓
Class
7,363,590 Ops/sec
ID
5,608,943 Ops/sec
attribute
4,848,016 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what's being tested. **Benchmark Definition** The benchmark definition is a simple JavaScript statement that uses the `document.querySelector()` method to select an HTML element based on different selectors. * "Class" selector: `.hello` - This tests how fast the browser can find an element with a class attribute. * "ID" selector: `#hello` - This tests how fast the browser can find an element with an ID attribute. * "Attribute" selector: `[hello]` - This tests how fast the browser can find an element with a custom attribute. **Options Compared** The options compared in this benchmark are: 1. Using class selectors (`.`) vs 2. Using ID selectors (`#`) vs 3. Using attribute selectors (`[attributeName]`) **Pros and Cons of Each Approach** * **Class Selectors**: Fast, but may be slower if the element has a lot of other elements with the same class. + Pros: Efficient for modern web applications that use classes extensively. + Cons: May not be ideal for older browsers or specific use cases where ID is more suitable. * **ID Selectors**: Faster than attribute selectors, but may slow down if there are many elements with the same ID. + Pros: Generally faster than attribute selectors and often preferred by developers. + Cons: May lead to slower performance in certain scenarios where IDs are not unique. * **Attribute Selectors**: Can be slow due to the complexity of parsing attribute values, but offers more flexibility for custom selectors. + Pros: More flexible than class or ID selectors, suitable for specific use cases where attributes have meaningful values. + Cons: Generally slower and may require more computational resources. **Library** None are explicitly mentioned in this benchmark definition. However, `document.querySelector()` is a built-in JavaScript method that uses the W3C DOM API to select elements. **Special JS Feature or Syntax** The only special syntax here is the attribute selector `[hello]`, which is a relatively modern feature introduced in ECMAScript 2015 (ES6) and supported by most modern browsers. It allows selecting elements based on custom attributes. **Other Alternatives** If you want to explore alternative approaches, consider these options: * Using `querySelectorAll()` instead of `querySelector()`: This method returns an array-like object containing all matched elements, whereas `querySelector()` returns a single element. * Using CSS selectors: You can use CSS selectors in JavaScript using the `getElementsByClassName()` or `getElementById()` methods. However, this approach may not be as efficient as native DOM selector methods like `querySelector()`. * Optimizing the HTML structure and attribute usage to reduce the number of elements with specific classes or IDs. * Using browser-specific APIs or extensions for performance enhancements (e.g., WebAssembly, PWA-specific APIs). Keep in mind that these alternatives might affect the benchmark's accuracy or applicability to real-world use cases.
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