Benchmark: Test UUID with different optimizations

Tests:

1
function uuid() { let uuid = "", i, random; for (i = 0; i < 32; i++) { random = (Math.random() * 16) | 0; if (i == 8 || i == 12 || i == 16 || i == 20) { uuid += "-"; } uuid += (i == 12 ? 4 : i == 16 ? (random & 3) | 8 : random).toString(16); } return uuid; } uuid();
2
const ui8a = new Uint8Array(1); function next() { let uuid = "", i; for (i = 0; i < 32; i++) { uuid += (i === 8 || i === 13 || i === 18 || i === 23) ? '-' : (crypto.getRandomValues(ui8a)[0] * 16) | 0; } return uuid; }
3
const ui8a = new Uint8Array(1); function next() { let uuid = [], i; for (i = 0; i < 32; i++) { uuid.push((i === 8 || i === 13 || i === 18 || i === 23) ? '-' : (crypto.getRandomValues(ui8a)[0] * 16) | 0); } return uuid.join(''); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2
3

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Overview**

The provided benchmark measures the performance of three different approaches to generate UUIDs (Universally Unique Identifiers). A UUID is a 128-bit number used to identify information in computer systems. The benchmark definition specifies that each approach generates a random UUID with a specific format.

**Approaches Compared**

1. **Approach 1: `uuid()` function**: This function uses the `Math.random()` function to generate a random number between 0 and 16, and then performs bitwise operations to create the UUID.
2. **Approach 2: Using `Uint8Array` with `crypto.getRandomValues()`**: This approach uses a `Uint8Array` to generate a random byte and then converts it to an integer using bitwise operations. The `crypto.getRandomValues()` function is used to generate cryptographically secure random numbers.
3. **Approach 3: Using `Uint8Array` with `push()` method**: This approach also uses a `Uint8Array` but pushes individual bytes onto the array and then joins them together using the `join()` method.

**Pros and Cons of Each Approach**

1. **Approach 1 (`uuid()` function)`:
	* Pros: Simple, easy to understand.
	* Cons: May be slow due to frequent use of `Math.random()`.
2. **Approach 2 (Using `Uint8Array` with `crypto.getRandomValues()`):
	* Pros: Fast and secure, thanks to `crypto.getRandomValues()`.
	* Cons: Requires the `crypto` module, which may not be available in all environments.
3. **Approach 3 (Using `Uint8Array` with `push()` method):
	* Pros: Concise and easy to read.
	* Cons: May be slower due to frequent use of `join()`.

**Library Used**

The `crypto` library is used in Approach 2, which provides cryptographically secure random number generation. This library is part of the Node.js standard library, but it may not be available in all environments.

**Other Considerations**

* The benchmark assumes that the `crypto` module is available and configured correctly.
* The `Uint8Array` approach requires careful handling of integer overflows when converting bytes to integers.
* The `push()` method approach can lead to slower performance due to repeated array resizing.

**Alternatives**

If you need to generate UUIDs in a browser environment, you may want to consider using the `uuidv4()` function from the ` uuid` library, which provides a fast and secure way to generate UUIDs. However, keep in mind that this approach requires including an additional library in your project.

For server-side environments, you can use the `crypto.randomBytes()` function to generate random bytes, which can then be converted to a UUID using bitwise operations.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/15.3 Safari/605.1.15

Browser/OS: Safari 15 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
1	453142.0 Ops/sec
2	11848811.0 Ops/sec
3	11686905.0 Ops/sec

Related benchmarks:

Test UUID with different optimizations (version: 0)

Comparing performance of: 1 vs 2 vs 3

Created: 2 years ago by: Guest

Jump to the latest result

1

2

3

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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