Benchmark: Append vs CreateTextNode with clone asdf2

Tests:

With just append
var list = [], n = 0, node = document.createElement('div'); while(true) { n++; node.append('asdf'); if(n===100000) break; }
createTextNode with clone
var list = [], n = 0, node = document.createElement('div'), textNode = document.createTextNode('asdf') while(true) { n++; node.append(textNode.cloneNode(true)); if(n===100000) break; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
With just append
createTextNode with clone

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what is being tested, the different approaches compared, their pros and cons, and other considerations.

**What is being tested?**

The benchmark measures the performance of two different approaches when appending or cloning nodes to an HTML element. The test cases compare the execution speed of:

1. **With just append**: Appending a `div` node with text content using the `append()` method.
2. **CreateTextNode with clone**: Creating a `textNode` object using `document.createTextNode()`, and then appending its cloned version to the node using `cloneNode(true)`.

**Options compared**

The benchmark compares the performance of two approaches:

1. **Append**: Using the `append()` method to add nodes or text content to an element.
2. **Clone + Append**: Creating a new `textNode` object and then appending its cloned version to the node using `cloneNode(true)`.

**Pros and Cons**

**With just append:**

Pros:

* Simple and straightforward approach
* Less code overhead compared to cloning

Cons:

* May require more memory allocations or copying of data, leading to slower performance
* Limited control over the text content's behavior (e.g., no ability to modify it)

**CreateTextNode with clone:**

Pros:

* Provides more control over the text content's behavior
* Can be used to create a copy of the original text content

Cons:

* Requires creating an additional object (`textNode`) and cloning its contents, which can lead to slower performance due to memory allocation and copying.
* May introduce additional overhead due to the cloning process.

**Other considerations**

* The benchmark uses `document.createElement('div')` as a container element for testing. This might affect the results if the specific implementation of the `append()` method in different browsers or engines is optimized for this particular use case.
* The test cases use a while loop that runs indefinitely until `n === 100000`. While this provides a high number of iterations, it may not accurately represent real-world scenarios where the number of iterations might be much lower.

**Library/External dependencies**

The benchmark uses no external libraries. However, it does rely on the browser's DOM API for creating elements and manipulating text content.

**Special JS feature/syntax**

There is no special JavaScript feature or syntax used in this benchmark. The code follows standard JavaScript syntax and utilizes only built-in features available across most browsers.

**Alternatives**

Other approaches to testing similar performance benchmarks might include:

* Using a different element type (e.g., `span`, `p`) for appending text content
* Adding more complex operations (e.g., adding child nodes, handling events) to the append or clone methods
* Comparing the performance of other DOM manipulation methods (e.g., `innerHTML` instead of `append()`)

Keep in mind that the specific approach and test cases used might depend on the goals and requirements of the benchmark.

Related benchmarks:

Append vs CreateTextNode with clone asdf2 (version: 3)

Comparing performance of: With just append vs createTextNode with clone

Created: 5 years ago by: Registered User

Jump to the latest result

With just append

createTextNode with clone

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):