Benchmark: testme - MeasureThat.net

HTML Preparation code:

<div id="container"></div>

Script Preparation code:

var container = document.getElementById('container');
ul = document.createElement('ul');
var html = [];
    for ( var i=0; i<2000; i += 1 ) {
  	html.push(`<li>${i}</li>`);
}
 ul.innerHTML = html.join('');
 container.appendChild(ul);

Tests:

Remove
var element = ul.firstElementChild; while (element) { var element = ul.firstElementChild; element && ul.removeChild(element); }
dataset
var elements = Array.prototype.slice.call(container); for (var i = 0; i < elements.length; i++) { elements[i].dataset.test = "none"; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Remove
dataset

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.

Let's dive into explaining the provided benchmark and its test cases.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The benchmark in question is created by the user, and it tests the performance of different approaches for two specific use cases: removing elements from an unordered list (`ul`) and updating the `dataset` property of HTML elements.

**Test Cases**

There are two test cases:

1. **Remove**: This test case creates a large unordered list with 2000 elements and then repeatedly removes the first element until no more elements are left. The benchmark measures how many times this operation can be repeated within a second.
2. **dataset**: In this test case, the user creates an array of HTML elements using `Array.prototype.slice.call(container)`, and then iterates over the array to update the `dataset` property of each element with the value "none".

**Options Compared**

The benchmark compares two approaches for each test case:

1. Remove:
	* Original approach (not specified): This is likely the default or original implementation that users are familiar with.
	* Alternative approach: Not specified, but presumably a different method for removing elements from the list.
2. dataset:
	* Original approach (not specified): Similar to the first test case.
	* Alternative approach: Not specified, but likely another way of updating the `dataset` property.

**Pros and Cons**

The pros and cons of each approach are not explicitly stated in the benchmark definition or latest result. However, we can make some educated guesses based on common practices:

1. Remove:
	* Original approach: May be faster due to caching or memoization, but may also lead to memory leaks if not implemented correctly.
	* Alternative approach: May be slower due to additional overhead, but could be safer or more predictable.
2. dataset:
	* Original approach: May be slower due to the need to iterate over the array and update each element individually.
	* Alternative approach: May be faster by using a single operation to set the `dataset` property on multiple elements at once.

**Libraries and Special JS Features**

1. The benchmark uses the `Array.prototype.slice.call(container)` method to convert the container element into an array, which is a modern JavaScript feature. This is not specific to any particular library, but rather a built-in method.
2. There are no explicit mentions of special JavaScript features or syntax in the benchmark definition.

**Other Alternatives**

If you're interested in optimizing the performance of this benchmark, here are some alternative approaches you could consider:

1. Remove:
	* Use `Array.prototype.filter()` to remove elements from the list instead of `ul.removeChild()`. This can be faster for large lists.
	* Consider using a more efficient data structure, such as an array or linked list, instead of an unordered list.
2. dataset:
	* Use `Document.querySelectorAll()` and `forEach()` to update the `dataset` property in a single operation.
	* Consider using a library like jQuery or Lodash that provides optimized methods for working with arrays and HTML elements.

Keep in mind that these are just suggestions, and the best approach will depend on your specific use case and requirements.

Related benchmarks:

testme (version: 0)

stuff

Comparing performance of: Remove vs dataset

Created: 3 years ago by: Guest

Jump to the latest result

Remove

dataset

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):