Benchmark: innerhtml vs removechild 10k

HTML Preparation code:

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

Script Preparation code:

var node = document.getElementById('container');

for(var i = 0; i < 10000; i++) node.appendChild(document.createElement('div'));

Tests:

innerHTML
var node = document.getElementById('container'); node.innerHTML = '';
removeChild
var node = document.getElementById('container'); while(node.firstChild) node.removeChild(node.firstChild)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
innerHTML
removeChild

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided benchmark definition and test cases.

**Benchmark Definition**

The benchmark measures two approaches to cleaning up an HTML element: setting its `innerHTML` property to an empty string, and removing all child nodes using `removeChild`. The benchmark is designed to test which approach is faster for a specific use case: appending 10,000 HTML elements to an existing container.

**Script Preparation Code**

The script preparation code creates a container element with the ID "container" and appends 10,000 new `div` elements to it. This sets up the starting point for measuring the performance of cleaning up the container's content.

**Html Preparation Code**

The HTML preparation code defines a simple HTML page containing a single `div` element with the ID "container". This is used as the input HTML for the benchmark.

**Options being compared**

There are two options being compared:

1. **innerHTML**: Setting the `innerHTML` property to an empty string.
2. **removeChild**: Removing all child nodes using `removeChild`.

**Pros and Cons of each approach:**

*   **innerHTML**:
    *   Pros:
        *   Easy to implement and understand.
        *   Works for most cases where content is text-based or simple HTML structures.
    *   Cons:
        *   Can lead to inefficient memory allocations and garbage collection if the same content is frequently updated.
        *   Not suitable for complex HTML structures, as it requires parsing the entire HTML content.

*   **removeChild**:
    *   Pros:
        *   Efficient and memory-friendly for updating dynamic or large amounts of content.
        *   Suitable for complex HTML structures, as it directly removes child nodes without requiring parsing.
    *   Cons:
        *   Can be more difficult to implement and understand due to the need to keep track of child node indices.

**Library usage**

In this benchmark, none of the libraries are explicitly mentioned. However, if a user were to add a library, they might consider using a JavaScript DOM manipulation library like jQuery or vanilla `DOM` methods (e.g., `appendChild`, `removeChild`) for more complex HTML updates.

**Special JS features or syntax**

There's no special JavaScript feature or syntax being used in this benchmark. The code is standard ECMAScript and uses only the built-in `document` object and DOM methods.

**Other alternatives**

Some other alternative approaches for cleaning up an HTML element could be:

*   **DOM Traversal**: Using methods like `querySelectorAll`, `getElementsByClassName`, etc., to traverse the DOM and remove elements individually.
*   **Template literals or a custom templating engine**: For more complex updates, using template literals or a custom templating engine can provide better performance and control over rendering updates.
*   **Async/await with Web Workers**: If dealing with extremely large datasets or CPU-intensive tasks, using async/await with web workers might improve performance by offloading computations to separate worker threads.

Related benchmarks:

innerhtml vs removechild 10k (version: 0)

Comparing performance of: innerHTML vs removeChild

Created: 4 years ago by: Guest

Jump to the latest result

innerHTML

removeChild

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):