<head><style>h1 { color: red; }</style></head><body></body>
var head = document.querySelector("head");
var node = document.querySelector("style");
var clone = node.cloneNode({deep: true})
head.appendChild(clone);
var clone = document.createElement("style");
clone.textContent = node.textContent;
head.appendChild(clone);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
clodeNode | |
createElement |
Test name | Executions per second |
---|---|
clodeNode | 466.7 Ops/sec |
createElement | 447.8 Ops/sec |
Let's break down the provided benchmark definition and test cases.
Benchmark Definition
The benchmark measures the performance of two approaches to add styles to an HTML document:
cloneNode()
method to create a copy of the existing <style>
element, and then appending it to the <head>
element.<style>
element using document.createElement()
, setting its content to the original element's content using textContent
, and then appending it to the <head>
element.Options Compared
The two approaches compared are:
<style>
element.cloneNode()
method allows for both deep and shallow clones. In this benchmark, the test uses a deep clone (deep: true
).Pros and Cons
Library
The cloneNode()
method is part of the DOM (Document Object Model) API, which is used to manipulate HTML documents. It allows creating a copy of an existing node in the document tree.
Special JS Feature/Syntax
None mentioned in this benchmark. However, it's worth noting that other JavaScript features like async/await or promise chaining might be used in more complex scripts, but they are not relevant to this specific benchmark.
Other Alternatives
If you want to explore alternative approaches, here are a few options:
cloneNode()
or createElement()
, you could use the innerHTML
property to set the content of an element. However, be aware that this method can lead to security issues if used with untrusted data.<style>
element, like "var clone = document.createElement('style'); clone.textContent = node.textContent; head.appendChild(clone);"
.Keep in mind that the performance differences between these approaches might be negligible for simple use cases, but can add up for complex or large-scale applications.