Benchmark: Real niggaz - MeasureThat.net

HTML Preparation code:

<div class="container">
	<section>
		<div class="wrapper" id="wrapper">
			<div class="adSlotContainer">
				<div id="slot">
						<iframe id="iframe"></iframe>
				</div>
			</div>    
		</div>
	</section>
</div>

Tests:

ID
let el1 = document.getElementById('iframe'); let el2 = document.getElementById('wrapper');
Closest
let el1 = document.getElementById('iframe'); let el2 = el1.closest('.wrapper');
ParentNode
let el1 = document.getElementById('iframe'); let el2 = el1.parentNode.parentNode.parentNode;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ID
Closest
ParentNode

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Measuring JavaScript performance is a complex task, and the provided benchmark definition is no exception.

**Overview**

The benchmark measures the execution speed of three different approaches to retrieve an element by its ID in a DOM document:

1. `document.getElementById('iframe')`
2. `el.closest('.wrapper')`
3. `el.parentNode.parentNode.parentNode`

Each approach is tested using a specific HTML structure, which includes an `<iframe>` with an ID and a parent container with a class of `.wrapper`.

**Options Compared**

The benchmark compares the performance of three different approaches:

1. **ID-based retrieval**: Using `document.getElementById('iframe')` to directly retrieve the element by its ID.
2. **Closest selector**: Using `el.closest('.wrapper')` to find the closest ancestor with a class of `.wrapper`.
3. **ParentNode traversal**: Using `el.parentNode.parentNode.parentNode` to traverse up the DOM tree and find the parent container.

**Pros and Cons**

Here's a brief summary of each approach:

1. **ID-based retrieval**:
	* Pros: Fast, efficient, and reliable.
	* Cons: May not work well with dynamically generated IDs or complex DOM structures.
2. **Closest selector**:
	* Pros: Flexible and works well with complex DOM structures.
	* Cons: May be slower than ID-based retrieval due to the selector engine overhead.
3. **ParentNode traversal**:
	* Pros: Works well with complex DOM structures, but may be slower than ID-based retrieval.
	* Cons: Can be brittle if the parent container structure changes.

**Library and Syntax**

None of the test cases use any external libraries or special JavaScript features. The benchmark focuses on the basic DOM API.

**Other Considerations**

When writing performance-critical code, it's essential to consider factors like:

* Cache locality: How do the elements being retrieved relate to each other in the DOM tree?
* Dominance: Are there any other elements that might dominate the execution time of this benchmark?
* Garbage collection: Can garbage collection introduce pauses or delays during execution?

**Alternatives**

For more complex performance benchmarks, you may want to consider using:

1. WebAssembly (WASM): A binary format that compiles languages like C, C++, and Rust into a platform-agnostic binary.
2. Benchmarking libraries like `benchmark.js` or `fast-estimation`: These libraries provide pre-built benchmarking functions and algorithms for measuring performance.
3. Framework-specific benchmarks: Depending on your use case, you might want to focus on specific frameworks like React, Angular, or Vue.js.

In conclusion, this benchmark provides a solid foundation for measuring the execution speed of different approaches to retrieve elements by their ID in JavaScript. By understanding the pros and cons of each approach, you can make informed decisions about which method to use in your own codebase.

Related benchmarks:

Real niggaz (version: 0)

description

Comparing performance of: ID vs Closest vs ParentNode

Created: 3 years ago by: Guest

Jump to the latest result

ID

Closest

ParentNode

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):