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innerText vs textContent reading speed
(version: 0)
blah blah
Comparing performance of:
innerText vs textContent
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<dd class="body-small text-color-text-low-emphasis"> Mumbai, Maharashtra, India <span aria-hidden="true"></span> <span> 500+ connections </span> </dd>
Tests:
innerText
let i = 1000; const el = document.querySelector("dd"); while (i--) { console.log(el.innerText) }
textContent
let i = 1000; const el = document.querySelector("dd"); while (i--) { console.log(el.textContent) }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
innerText
textContent
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and explain what's being tested. **Benchmark Definition** The benchmark is designed to compare the reading speed of two DOM properties: `innerText` and `textContent`. These properties are used to retrieve the text content of an HTML element, but they differ in how they handle certain cases. * `innerText`: This property returns the text content of an element without any extra formatting or styling information. It's specifically designed for accessibility purposes. * `textContent`: This property also returns the text content of an element, but it includes any extra formatting or styling information that's not present in the `innerText` version. **Options Compared** The benchmark is comparing the two options: 1. `innerText` 2. `textContent` These options are compared to determine which one is faster for reading text content from an HTML element. **Pros and Cons of Each Approach** * **innerText**: This approach is likely to be faster because it doesn't include any extra formatting or styling information, which can reduce the amount of data that needs to be processed. * **textContent**: This approach includes all the formatting and styling information, which may make it slower for reading text content from an element. However, `textContent` is more flexible and allows for better handling of HTML elements with complex structures. It's also generally considered a safer choice when working with HTML elements, as it can help prevent XSS attacks by removing potentially malicious JavaScript code from the text content. **Other Considerations** * **DOM Traversal**: The benchmark uses `document.querySelector` to select an element on the page and then traverses the DOM using a `while` loop. This approach may introduce unnecessary overhead due to the repeated DOM queries. * **JavaScript Engine Optimizations**: The JavaScript engine optimizations, such as caching and inlining, can affect the performance of the benchmark. **Library and Special JS Features** There is no specific library mentioned in the benchmark definition or test cases. However, the use of `document.querySelector` suggests that the benchmark is using the DOM API to interact with HTML elements. No special JavaScript features or syntax are being used in this benchmark. **Alternatives** If you're interested in running this benchmark on your own machine, here's an alternative way to set it up: 1. Create a new HTML file and copy the `Html Preparation Code` into it. 2. Write a simple JavaScript script using Node.js that runs the two benchmark test cases. 3. Use a library like `benchmark` or `micro-benchmark` to run the benchmarks and collect results. Here's an example code snippet: ```javascript const fs = require('fs'); const path = require('path'); // Load HTML file const htmlFile = path.join(__dirname, 'index.html'); const htmlContent = fs.readFileSync(htmlFile, 'utf8'); // Define benchmark test cases function benchmarkInnerText() { const el = document.querySelector('dd'); let i = 1000; while (i--) { console.log(el.innerText); } } function benchmarkTextContent() { const el = document.querySelector('dd'); let i = 1000; while (i--) { console.log(el.textContent); } } // Run benchmarks benchmarkInnerText(); benchmarkTextContent(); ``` Note that this code snippet assumes you have Node.js installed and the `benchmark` library available. You can install it using npm by running `npm install benchmark`.
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