Benchmark: benchmarkname-11231233321

Tests:

1
const list = []; let n = 0; while (++n != 100_000) { list.push(document.createElement("img")); }
2
const list = []; let n = 0; const node = document.createElement("img"); node.style.width = "24px"; while (++n != 100_000) { list.push(node.cloneNode()); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Windows

View result in a separate tab

Test name	Executions per second
1	11.8 Ops/sec
2	15.2 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmarking framework and explain what's being tested, compared, and considered.

**Benchmark Framework Overview**

MeasureThat.net provides a simple benchmarking platform where users can create and run JavaScript microbenchmarks. The framework consists of:

1. A JSON file representing the benchmark definition.
2. Individual test cases defined in an array.
3. A raw UA string (User Agent) indicating the browser, device platform, operating system, and version.

**Benchmark Definition JSON**

The provided JSON file defines a basic benchmark with no script preparation code or HTML preparation code specified.

```json
{
    "Name": "benchmarkname-11231233321",
    "Description": null,
    "Script Preparation Code": null,
    "Html Preparation Code": null
}
```

**Individual Test Cases**

Two test cases are provided, each with a different approach to creating an array of HTML elements.

### Test Case 1

```json
{
    "Benchmark Definition": "const list = [];\r\nlet n = 0;\r\n\r\nwhile (++n != 100_000) {\r\n\tlist.push(document.createElement(\"img\"));\r\n}",
    "Test Name": "1"
}
```

This test case creates an array of `img` elements using a simple loop. The `const list = []` declaration initializes an empty array, and the `while` loop increments a counter (`n`) from 0 to 100,000, pushing a new `img` element onto the array in each iteration.

**Pros and Cons**

* **Pros:** Simple and easy to understand. This approach is straightforward for creating an array of elements.
* **Cons:** May not be optimal for performance, as it creates a large number of DOM elements and pushes them onto the array, which can lead to memory allocation overhead.

### Test Case 2

```json
{
    "Benchmark Definition": "const list = [];\r\nlet n = 0;\r\nconst node = document.createElement(\"img\");\r\nnode.style.width = \"24px\";\r\n\r\nwhile (++n != 100_000) {\r\n\tlist.push(node.cloneNode());\r\n}",
    "Test Name": "2"
}
```

This test case creates an array of `img` elements by cloning an existing element (`node`) in each iteration. The `const node = document.createElement("img")` declaration creates a single `img` element, and its `cloneNode()` method is called to create a new copy of the element for each iteration.

**Pros and Cons**

* **Pros:** More efficient than Test Case 1, as it avoids creating multiple DOM elements. The cloned node's style is also inherited from the original node.
* **Cons:** Requires an initial allocation of resources for the `node` variable and its style attributes.

**Library: Node.js' `document.createElement`**

The `document.createElement` function creates a new HTML element according to the specified tag name. In this case, it's used to create a basic `img` element. The cloned node is then pushed onto the array in Test Case 2.

**Special JS Feature/Syntax: None mentioned**

There are no special JavaScript features or syntaxes being tested in these benchmark cases.

**Alternatives**

Other approaches to creating arrays of HTML elements could be explored, such as:

* Using `Array.prototype.fill()` with a single element created using `document.createElement`.
* Utilizing a library like jQuery's `$().fill()` method.
* Implementing a custom array implementation that uses a typed array (e.g., `Uint8Array`) to store the element data.

Keep in mind that each approach has its trade-offs in terms of performance, memory usage, and ease of maintenance.

Related benchmarks:

benchmarkname-11231233321 (version: 0)

Comparing performance of: 1 vs 2

Created: one year ago by: Guest

Jump to the latest result

1

2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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