Benchmark: Random test 21831928301283124

HTML Preparation code:

<p>Some paragraph</p>

Script Preparation code:

var htmlBody = ['<h3>A body coming from an API... or somewhere else</h3>',
  '<div id="html-mock-body">',
    'It can contain regular HTML Elements and scripts with links.',
  '</div>',
  '<script type="text/javascript">',
    '(function() {',
      'var bodyElement = document.querySelector(\'#html-mock-body\');',
      'var tag = document.createElement(\'h1\');',
      'tag.textContent =',
        '\'This script is injected from external source. Make sure you trust the source before doing this!\';',
      'bodyElement.append(tag);',
    '}());',
  '</sc'+'ript>'].join('');

Tests:

one
const domParser = new DOMParser(); const doc = domParser.parseFromString(htmlBody, 'text/html'); const links = Array.from(doc.getElementsByTagName('link')); const scripts = Array.from(doc.getElementsByTagName('script')); const children = Array.from(doc.body.childNodes); const fragment = document.createDocumentFragment(); fragment.append(...links); fragment.append(...children); fragment.append(...scripts);
two
const container = document.createElement('div'); container.innerHTML = htmlBody; const links = Array.from(container.getElementsByTagName('link')); const scripts = Array.from(container.getElementsByTagName('script')); const children = Array.from(container.childNodes); const fragment = document.createDocumentFragment(); fragment.append(...links); fragment.append(...children); fragment.append(...scripts);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
one
two

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark test case created using MeasureThat.net. The benchmark tests the execution time of two different approaches to parse and process HTML content.

**What is tested?**

Two individual test cases are defined:

1. **Test "one"**: This test uses the `DOMParser` API to parse the provided HTML body and extract specific elements (links, scripts, and children). The extracted elements are then appended to a `DocumentFragment`.
2. **Test "two"**: This test creates a new container element (`div`) and sets its `innerHTML` property to the provided HTML body. It then extracts the same elements as in Test "one" from the container.

**Options compared**

The two tests compare the performance of:

1. Using `DOMParser` to parse and process HTML content.
2. Creating a container element and setting its `innerHTML` property to process HTML content.

**Pros and cons of each approach**

1. **Using DOMParser**:
	* Pros: Efficient, fast, and widely supported by browsers.
	* Cons: May not work correctly for malformed or invalid HTML.
	* Additional consideration: The `DOMParser` API is more efficient when dealing with large amounts of HTML content.
2. **Creating a container element**:
	* Pros: Can handle malformed or invalid HTML, provides a clear separation between the test and the parsed data.
	* Cons: May be slower due to the overhead of creating and manipulating elements.

**Library usage**

The `DOMParser` library is used in both tests. It's a built-in JavaScript API that parses XML/HTML strings into a Document object, which can then be manipulated like any other HTML document.

**Special JS features or syntax**

None are mentioned in this benchmark. The code uses standard JavaScript features and does not rely on any specific syntax or features.

**Other alternatives**

If the `DOMParser` approach is too slow or not suitable for your use case, you could consider alternative methods to parse and process HTML content, such as:

1. Using an HTML parser library like `html-parser` or `parse5`.
2. Utilizing a DOM manipulation library like jQuery.
3. Implementing custom parsing logic using regular expressions or string manipulation techniques.

However, keep in mind that these alternatives may have trade-offs in terms of performance, compatibility, and ease of use compared to the `DOMParser` approach.

Related benchmarks:

Random test 21831928301283124 (version: 0)

Comparing performance of: one vs two

Created: 4 years ago by: Guest

Jump to the latest result

one

two

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):