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Deep querySelector scope vs no scope
(version: 0)
Comparing performance of:
querySelector scope vs querySelector no scope
Created:
2 years ago
by:
Guest
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HTML Preparation code:
<div id='parent'> <div class="foo"> <div id="bar" class="bar"> <div class="baz"> </div> </div> </div> </div>
Tests:
querySelector scope
document.getElementById("bar").querySelector(':scope > .baz')
querySelector no scope
document.querySelector('.baz')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
querySelector scope
querySelector no scope
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 provided benchmark and explain what's being tested. **Benchmark Overview** The test is measuring the performance difference between using `querySelector` with the `:scope>` pseudo-class versus not using it at all, in both JavaScript engines (likely V8 for Chrome/Node.js and SpiderMonkey for Firefox). **`:scope>` Pseudo-Class** The `:scope` pseudo-class was introduced in ECMAScript 2019 (ES11) as a way to limit the scope of an element's styles or properties. When used with `querySelector`, it allows selecting elements within a specific scope, which is typically the document's DOM tree. In this benchmark, the test case uses `document.getElementById("bar").querySelector(':scope > .baz')` to query for all elements directly descended from `#bar`. This effectively limits the search space to only elements within the `<div id="bar">` element. Without the `:scope>` pseudo-class, the query would need to traverse the entire DOM tree from `#bar`, which is likely slower. **Options Compared** The benchmark compares two approaches: 1. **Using`:scope`**: This approach uses the `:scope>` pseudo-class to limit the search space to elements within a specific scope. 2. **Not using`:scope`**: This approach performs a full DOM traversal from `#bar` without any scope limitation. **Pros and Cons** * Using`:scope`: + Pros: Can significantly improve performance by limiting the search space. + Cons: May not work as expected if the DOM structure is complex or has many nested elements. * Not using`:scope`: + Pros: Works consistently across all browsers and DOM structures. + Cons: May be slower due to full DOM traversal. **Library Usage** There are no libraries mentioned in this benchmark, so we can assume that the JavaScript engines (V8 and SpiderMonkey) will handle the execution of these queries internally. **Special JS Features or Syntax** The benchmark uses a feature introduced in ECMAScript 2019 (ES11), specifically the `:scope>` pseudo-class. This is a relatively new feature, but it's becoming more widely supported across browsers. **Other Alternatives** If you wanted to write this benchmark from scratch, you could use a library like `benchmark` or `micro-benchmark` to implement the test cases. You would need to write a custom script that parses the HTML, selects the elements using both approaches, and measures their execution time. Here's an example of how you might write this benchmark in Node.js using `benchmark`: ```javascript const Benchmark = require('benchmark'); const jsdom = require('jsdom'); // Create a DOM parser and renderer const { JSDOM } = jsdom; const dom = new JSDOM('<html><body></body></html>'); // Define the test cases const testCases = [ { name: 'querySelector scope', fn: (context) => { const barElement = dom.window.document.getElementById('bar'); return barElement.querySelector(':scope > .baz'); }, }, { name: 'querySelector no scope', fn: (context) => { const barElement = dom.window.document.getElementById('bar'); return dom.window.document.querySelector('.baz'); }, }, ]; // Run the benchmark const suite = new Benchmark.Suite; testCases.forEach((testCase) => { suite.add(testCase.name, testCase.fn); }); suite.on('complete', () => { console.log(suite.filter('fastest').map((entry) => entry.name)); }); suite.run(); ``` Note that this is just an example and might require modifications to fit your specific use case.
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