Benchmark: Heap sort vs Native sort

Script Preparation code:

var arr = [40, 10, 50, 24, 1, 2, 4, -10, 15, 7, 8, 5];

Tests:

Heap
const { floor } = Math; function heapsort(arr, comparator = ascendantComparator) { const count = arr.length; let end = count - 1; heapify(arr, comparator); while (end > 0) { [arr[end], arr[0]] = [arr[0], arr[end]]; end = end - 1; siftDown(arr, 0, end, comparator); } return arr; } function ascendantComparator(a, b) { return a > b ? 1 : a < b ? -1 : 0; } function heapify(array, comparator) { const count = array.length; let start = floor((count - 2) / 2); while (start >= 0) { siftDown(array, start, count - 1, comparator); start = start - 1; } } function siftDown(arr, start, end, comparator) { let root = start; while (root * 2 + 1 <= end) { const lChild = root * 2 + 1; const rChild = lChild + 1; let swap = root; if (comparator(arr[swap], arr[lChild]) < 0) swap = lChild; if (rChild <= end && comparator(arr[swap], arr[rChild]) < 0) swap = rChild; if (swap === root) return; [arr[root], arr[swap]] = [arr[swap], arr[root]]; root = swap; } } heapsort(arr);
Native sort
function sortNumber(a, b) { return a - b; } arr.sort(sortNumber);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Heap
Native sort

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:124.0) Gecko/20100101 Firefox/124.0

Browser/OS: Firefox 124 on Linux

View result in a separate tab

Test name	Executions per second
Heap	1003376.2 Ops/sec
Native sort	7032139.5 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 provided benchmark and explain what's being tested, compared, and their pros/cons.

**Benchmark Definition**

The benchmark compares two sorting algorithms: Heap sort and Native sort (built-in JavaScript sort function).

**Options Compared**

1. **Heap Sort**: A comparison-based sorting algorithm that uses a binary heap data structure to sort elements.
2. **Native Sort (JavaScript's built-in sort function)**: A stable, efficient sorting algorithm that uses a combination of techniques, including quicksort and heapsort, to sort elements.

**Pros and Cons**

* **Heap Sort**:
	+ Pros: Simple to implement, stable, and efficient for small datasets.
	+ Cons: Not as efficient as Native Sort for large datasets due to its O(n log n) time complexity.
	+ Note: The implementation in the benchmark uses a custom heapify function, which may not be optimal.
* **Native Sort (JavaScript's built-in sort function)**:
	+ Pros: Optimized and highly efficient for large datasets, stable, and widely supported.
	+ Cons: Can be slower than Heap Sort for small datasets due to its overhead.
	+ Note: The implementation in the benchmark is a simple comparison-based approach, which may not utilize all the optimizations available in modern JavaScript engines.

**Library Used**

None. The benchmark uses built-in JavaScript functions (e.g., `sort()`, `Math.floor()`).

**Special JS Features/Syntax**

* None mentioned in the provided code.

Now, let's look at some alternative approaches:

1. **Quicksort**: Another popular sorting algorithm that can be used as a comparison to Native Sort.
2. **Merge Sort**: A stable sorting algorithm that is similar to Native Sort but has better performance for certain data distributions.
3. **Radix Sort**: A non-comparison sorting algorithm that can be used for specific use cases, such as sorting integers or strings.

To run this benchmark on a different environment or platform, you would need to:

1. Update the `Script Preparation Code` with the necessary modifications to run on your target environment (e.g., changing the browser or adding platform-specific code).
2. Adjust the benchmark settings, such as the dataset size or number of executions per second.
3. Re-run the benchmark using a tool like MeasureThat.net or write your own benchmarking script.

Keep in mind that the performance results may vary depending on the specific environment and configuration used.

Related benchmarks:

Heap sort vs Native sort (version: 0)

Comparing performance of: Heap vs Native sort

Created: 6 years ago by: Guest

Jump to the latest result

Heap

Native sort

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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