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getElementById vs querySelector vs map.get
(version: 0)
Comparing performance of:
getElementById vs querySelector vs map.get
Created:
2 years ago
by:
Guest
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HTML Preparation code:
<div id="test-id" /> <script> const map = new Map() </script>
Script Preparation code:
map.set("test-id", document.getElementById("test-id"))
Tests:
getElementById
const el = document.getElementById("test-id")
querySelector
const el = document.querySelector("#test-id")
map.get
const el = map.get("test-id")
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
getElementById
querySelector
map.get
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
3 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36
Browser/OS:
Chrome 143 on Windows
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Test name
Executions per second
getElementById
41279016.0 Ops/sec
querySelector
8087415.0 Ops/sec
map.get
169730592.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation of the provided benchmark. **Benchmark Overview** The provided benchmark measures the performance of three different approaches to retrieve an HTML element by its ID: `getElementById`, `querySelector`, and `map.get`. The benchmark is designed to compare these approaches in a controlled environment, providing insights into their relative performance on different browsers and devices. **Library Used** In this benchmark, the `Map` data structure from JavaScript's built-in collection API is used. A `Map` is an object that stores key-value pairs, where each key is unique and maps to a specific value. In this case, the `map.get()` method is used to retrieve the value associated with a given key (in this case, the ID of the HTML element). **Options Compared** The three options being compared are: 1. **`getElementById`**: This approach uses the DOM's built-in method to retrieve an element by its ID. 2. **`querySelector`**: This approach uses the `querySelector()` method to select elements based on a CSS selector, including elements with IDs. 3. **`map.get`**: As mentioned earlier, this approach uses the `Map` data structure to retrieve the value associated with a given key (the element's ID). **Pros and Cons** Here are some pros and cons of each approach: 1. **`getElementById`**: * Pros: Simple, widely supported, and well-established. * Cons: Can be slower than other approaches, especially in older browsers or when dealing with complex DOM structures. 2. **`querySelector`**: * Pros: Flexible, allowing for more complex selection scenarios, and can be faster than `getElementById`. * Cons: May not work as expected in older browsers that don't support modern CSS selectors. 3. **`map.get`**: * Pros: Fast, consistent, and reliable, especially when working with large datasets or frequent lookups. * Cons: Requires creating a `Map` instance and storing the elements to be retrieved, which can add overhead. **Other Considerations** When choosing between these approaches, consider factors like: * Browser support: If you need to support older browsers, `getElementById` might be a safer choice. For modern browsers with CSS selectors, `querySelector` could be a better option. * DOM complexity: In complex DOM structures, `querySelector` or other dynamic methods might be more suitable than `getElementById`. * Performance-critical code: If you're working on performance-critical code, consider using `map.get` for its speed advantages. **Special JS Feature** There is no special JavaScript feature or syntax explicitly used in this benchmark. However, the use of modern CSS selectors like `querySelector` assumes a good understanding of modern web development principles and standards. If you'd like to explore alternative approaches, consider: * Using other DOM traversal methods, such as `document.querySelectorAll()` or `Element.getElementsByTagName()`. * Implementing custom lookup mechanisms using arrays or other data structures. * Leveraging browser-specific APIs or extensions for faster performance.
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