Benchmark: Array diff - MeasureThat.net

Script Preparation code:

function dec2hex (dec) {
  return dec < 10
    ? '0' + String(dec)
    : dec.toString(16)
}

function generateId (len) {
  var arr = new Uint8Array((len || 40) / 2)
  window.crypto.getRandomValues(arr)
  return Array.from(arr, dec2hex).join('')
}

var a = []
var b = []
for( let i = 0; i < 1000; i++)
{
  a[i] = generateId(16)
  b[i] = generateId(16)
}

 var bs = new Set(b)

Tests:

lodash
const res = _.xor(a, b).lenght === 0;
set diff
const res = a.lenght !== b.lengh && a.all((x) => bs.has(x))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
set diff

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark and explain what's being tested, compared options, pros/cons of each approach, and other considerations.

**Benchmark Definition**

The provided JSON defines two microbenchmarks: "Array diff" and two test cases for libraries Lodash and Set.

**What is tested?**

1. **Array Diff**: This benchmark measures the performance of an array comparison algorithm. It creates two arrays `a` and `b` with 1000 elements each, generates random IDs using the `generateId` function (explained later), and checks if there are any differences between the two arrays.
2. **Lodash Test Case**: This benchmark tests Lodash's `_.xor` function, which returns an array of elements that are present in `a` but not in `b`, or vice versa. The test case measures the performance of the `lenght` property access (a typo?) on the result.
3. **Set Diff Test Case**: This benchmark tests a set-based approach to find differences between two arrays. It creates a Set from array `b` and checks if any elements in `a` are present in the set.

**Options Compared**

1. **Array Comparison Algorithms**:
	* The Array diff benchmark compares the performance of different array comparison algorithms, likely including built-in JavaScript methods (e.g., `every`, `some`) vs. custom implementations.
2. **Library Functions**:
	* Lodash's `_.xor` function is compared to a custom implementation that uses a Set.
3. **Set-Based Approach**:
	* The Set Diff Test Case compares the performance of a set-based approach (using a Set) to the array comparison algorithm.

**Pros/Cons and Considerations**

1. **Array Comparison Algorithms**:
	* Built-in methods may be slower due to overhead, but are likely more efficient in terms of memory usage.
	* Custom implementations can provide better control over the comparison process but may introduce performance overhead.
2. **Lodash's `_.xor` function**:
	+ Pros: Lodash provides a well-tested and optimized implementation, reducing the need for manual implementation details.
	+ Cons: Adding an external dependency (Lodash) may incur additional memory usage or latency.
3. **Set-Based Approach**:
	+ Pros: Set operations can be more efficient than array comparison algorithms when dealing with large datasets.
	+ Cons: Requires a Set data structure, which may require additional memory allocations.

**Libraries and Special Features**

1. **Lodash**: Lodash is a popular JavaScript utility library that provides a range of functions for tasks like string manipulation, object manipulation, and collection manipulation (e.g., arrays, sets). In this benchmark, Lodash's `_.xor` function is used.
2. **Set Data Structure**: A Set in JavaScript is a data structure that stores unique values. It provides fast membership testing and set operations.

**Other Alternatives**

1. **Built-in Array Comparison Algorithms**: Instead of using a custom implementation or an external library, built-in array comparison algorithms like `every`, `some`, or `filter` could be used.
2. **Custom Implementations**: Alternative implementations of the array comparison algorithm or the Set-based approach could be created to compare performance with the existing ones.

The provided benchmark allows for comparing different approaches to array comparison and set operations, enabling users to choose the most efficient method for their specific use case.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
lodash	8525.6 Ops/sec
set diff	11402861.0 Ops/sec

Related benchmarks:

Array diff (version: 0)

Comparing performance of: lodash vs set diff

Created: one year ago by: Guest

Jump to the latest result

lodash

set diff

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):