Benchmark: Shuffled Array Cache Test 3

Script Preparation code:

var sorted = new Array(200000);
var shuffled = new Array(200000);

class Vector { 
	constructor() {
      this.x = 0;
      this.y = 0;
      this.z = 0;
    }
}

for (let i=0; i<200000; i++) {
  const obj = { position: new Vector(), scale: new Vector(), rotation: new Vector() };
  sorted[i] = obj;
  shuffled[i] = obj;
}

for (let i=0; i<200000; i++) {
  const index = Math.floor(Math.random() * 200000);
  const temp = shuffled[i];
  shuffled[i] = shuffled[index];
  shuffled[index] = temp;
}

Tests:

Shuffled
for (let i=0; i<200000; i++) { const obj = shuffled[i]; if (obj.position.x === 0 && obj.position.y === 0 && obj.position.z === 0) {} }
Shuffled const
for (let i=0; i<200000; i++) { const obj = shuffled[i]; const position = obj.position; if (position.x === 0 && position.y === 0 && position.z === 0) {} }
Sorted
for (let i=0; i<200000; i++) { const obj = sorted[i]; if (obj.position.x === 0 && obj.position.y === 0 && obj.position.z === 0) {} }
Sorted const
for (let i=0; i<200000; i++) { const obj = sorted[i]; const position = obj.position; if (position.x === 0 && position.y === 0 && position.z === 0) {} }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Shuffled
Shuffled const
Sorted
Sorted const

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36

Browser/OS: Chrome 119 on Windows

View result in a separate tab

Sorted const

69/s

Sorted

68/s

Shuffled const

26/s

Shuffled

25/s

View exact numbers

Test name	Executions per second
✓ Sorted const	69 Ops/sec
Sorted	68 Ops/sec
Shuffled const	26 Ops/sec
Shuffled	25 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is designed to measure the performance of JavaScript engines in comparing two arrays: `sorted` and `shuffled`. The arrays contain 200,000 objects with three vectors (x, y, z) each.

The script preparation code creates both arrays and shuffles the second array using a Fisher-Yates shuffle algorithm. This ensures that the order of elements is randomized.

**Options Compared**

There are four test cases:

1. **Shuffled**: This test case compares the shuffled array directly to itself.
2. **Shuffled const**: This test case uses `const` keyword when comparing the shuffled array elements with their positions.
3. **Sorted**: This test case compares the sorted array directly to itself.
4. **Sorted const**: This test case uses `const` keyword when comparing the sorted array elements with their positions.

**Pros and Cons of Each Approach**

1. **Shuffled**: This approach has a higher chance of finding identical pairs, making it slower due to unnecessary comparisons. However, it's more likely to find matches in random data.
2. **Shuffled const**: By using `const`, the comparison is made only when necessary (i.e., when an element doesn't match its position). This reduces unnecessary computations and makes it faster than `Shuffled`.
3. **Sorted**: Similar to `Shuffled`, this approach finds identical pairs more frequently, making it slower due to unnecessary comparisons.
4. **Sorted const**: Like `Shuffled const`, this approach uses `const` for efficient comparisons.

**Special JS Features/Syntax**

There are no specific JavaScript features or syntaxes being tested in this benchmark. However, the use of `class` and object literals (`const obj = { position: new Vector(), scale: new Vector(), rotation: new Vector() }`) is typical for modern JavaScript development.

**Alternatives**

Other alternatives to test array comparison performance could include:

* Comparing arrays using built-in `every()` or `some()` methods.
* Using data structures like sets, which would eliminate duplicate comparisons.
* Implementing a custom algorithm to find identical pairs, potentially faster than the existing approaches.

The provided benchmark is designed to measure the efficiency of JavaScript engines in performing simple array comparison tasks.

Shuffled Array Cache Test 3 (version: 0) Benchmark.js

Comparing performance of: `Shuffled vs Shuffled const vs Sorted vs Sorted const`

Created: 2 years ago by: Guest

Go to the latest result

Shuffled

Shuffled const

Sorted

Sorted const

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Shuffled Array Cache Test 3 (version: 0) Benchmark.js

Comparing performance of: Shuffled vs Shuffled const vs Sorted vs Sorted const

Created: 2 years ago by: Guest

Go to the latest result

Shuffled

Shuffled const

Sorted

Sorted const

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `Shuffled vs Shuffled const vs Sorted vs Sorted const`