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Int32Array.sort vs Array.sort larger array
(version: 0)
Comparing performance of:
Int32Array.sort vs Array.sort
Created:
2 years ago
by:
Guest
Go to the latest result
Script Preparation code:
nums = []; let i = 10 ** 5; while (--i > 0) nums.push(i);
Tests:
Int32Array.sort
new Int32Array(nums).sort();
Array.sort
nums.sort((a, b) => a - b);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Int32Array.sort
Array.sort
Fastest:
N/A
Slowest:
N/A
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/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36
Browser/OS:
Chrome 118 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=485947" width="100%" height="500px"></iframe>
Int32Array.sort
5K/s
Array.sort
1K/s
View exact numbers
Test name
Executions per second
✓
Int32Array.sort
4,539 Ops/sec
Array.sort
1,089 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation of the provided benchmark. **What is being tested?** The provided benchmark tests two approaches for sorting an array of integers: 1. `Int32Array.sort()`: This method uses the built-in JavaScript Array interface to sort the array. 2. `nums.sort((a, b) => a - b)`: This approach also uses the built-in JavaScript Array interface, but it uses a custom comparison function to compare elements. **Options being compared** The two options being compared are: * Using `Int32Array` objects for sorting * Using regular arrays (`nums`) with a custom comparison function **Pros and Cons of each approach:** 1. **Int32Array.sort()**: * Pros: + Can potentially be faster, since `Int32Array` is a typed array that can store 32-bit integers, which may lead to fewer allocations and better cache locality. * Cons: + May not work as expected if the input data contains non-integer values or is too large for the `Int32Array` to handle. 2. **nums.sort((a, b) => a - b)**: * Pros: + Works with any type of elements in the array, including strings and objects. * Cons: + May be slower due to the overhead of the custom comparison function. **Library usage** The `Int32Array` class is part of the JavaScript Standard Library, which means it's a built-in feature that comes bundled with every JavaScript engine. The purpose of `Int32Array` is to provide a typed array that can store 32-bit integers. **Special JS features or syntax** There are no special JavaScript features or syntax used in this benchmark. Both approaches use standard JavaScript language elements and built-ins. **Other alternatives** If you're looking for alternative sorting algorithms, there are several options available: * **Merge Sort**: A divide-and-conquer algorithm that splits the array into smaller chunks and sorts them recursively. * **Quick Sort**: Another divide-and-conquer algorithm that uses a pivot element to partition the array. * **Heapsort**: A comparison-based sorting algorithm that uses a binary heap data structure. These algorithms may have different performance characteristics and use cases compared to `Int32Array.sort()` and `nums.sort((a, b) => a - b)`. In summary, this benchmark compares two approaches for sorting arrays: using `Int32Array` objects or regular arrays with a custom comparison function. The choice of approach depends on the specific requirements and constraints of your use case.
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