Benchmark: dataset vs textContent

HTML Preparation code:


<div id='test' data-test="test">test</div>

Script Preparation code:


var el = document.getElementById('test');

Tests:

dataset
let value = el.dataset.test el.textContent = `${value} - test`
textContent
let value = el.textContent el.textContent = `${value} - test`

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
dataset
textContent

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Linux

View result in a separate tab

Test name	Executions per second
dataset	3256687.0 Ops/sec
textContent	2344.3 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the JavaScript microbenchmark on MeasureThat.net.

**Benchmark Overview**

The benchmark compares two approaches for accessing and modifying the content of an HTML element:

1. `dataset`: Accessing the `dataset` property to retrieve a value, and then updating the `textContent` property with that value.
2. `textContent`: Directly accessing the `textContent` property and updating it.

**Options Compared**

The benchmark is comparing two options:

* **Using `dataset`**: This approach uses the `dataset` property to access and modify the element's content.
* **Directly using `textContent`**: This approach directly accesses and updates the `textContent` property of the element.

**Pros and Cons**

1. **Using `dataset`**:
	* Pros: This approach allows for more flexibility in updating the element's content, as it doesn't require a specific format for the data (e.g., key-value pairs).
	* Cons: This approach may be slower than directly using `textContent`, since accessing and modifying the `dataset` property involves additional steps.
2. **Directly using `textContent`**:
	* Pros: This approach is likely to be faster, as it only requires a simple string operation.
	* Cons: This approach assumes that the data will fit within the maximum length allowed for `textContent`, which may not always be the case.

**Library and Special JS Features**

In this benchmark, the library being used is none specific. However, the use of template literals (`${value} - test`) suggests that JavaScript 6 or later is required, as this syntax was introduced in ECMAScript 2015 (ES6).

**Other Considerations**

* The benchmark assumes that the element's `dataset` property will be populated with data before running the tests.
* The benchmark doesn't consider other factors like memory allocation, garbage collection, or parallel execution.

**Alternatives**

If you want to optimize this benchmark or write a similar one, here are some alternatives:

* Use a more modern JavaScript version (e.g., ES2017+).
* Consider using `HTMLElement.dataset` instead of `dataset`, as `dataset` is not a standard property.
* Add additional tests for other ways of accessing and modifying the element's content, such as `getAttribute()` or `textContent + ' - test'`.
* Experiment with different browsers, devices, and operating systems to see how they affect performance.

**Benchmark Preparation Code Explanation**

The `Script Preparation Code` retrieves an HTML element by its ID using `document.getElementById()`. The `Html Preparation Code` creates a simple HTML div element with the `id` attribute set to "test" and the `data-test` attribute set to "test", containing the text "test".

**Test Case Explanation**

The first test case (`dataset`) accesses the value of the `dataset.test` property, retrieves it, and updates the `textContent` property using template literals. The second test case (`textContent`) directly accesses the value of the `textContent` property without any modifications.

Related benchmarks:

dataset vs textContent (version: 0)

element.dataset vs element.textContent

Comparing performance of: dataset vs textContent

Created: one year ago by: Guest

Jump to the latest result

dataset

textContent

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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