Benchmark: Array.sort vs Array.map x1

Script Preparation code:

const shuffleArray = array => {
    const arr = [...array];
    for (let i = arr.length - 1; i > 0; i--) {
        const j = Math.floor(Math.random() * (i + 1));
        const temp = arr[i];
        arr[i] = arr[j];
        arr[j] = temp;
    }
    return arr;
}

var testArr = Array.from({
    length: 5000
}, () => ({val: Math.floor(Math.random() * 4000)}));
var scrambled = shuffleArray(testArr);

Tests:

Array.sort
scrambled.sort((a,b) => a.val - b.val);
Array.map
testArr.map((t) => t.val)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.sort
Array.map

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's dive into the details of this JavaScript benchmark.

**What is being tested?**

The provided JSON represents two test cases that compare the performance of `Array.sort` and `Array.map`. The tests are designed to measure which approach performs better in terms of execution time on a large array of random data.

**Options compared:**

Two options are being compared:

1. **Array.sort**: This method sorts an array in place, meaning it modifies the original array directly.
2. **Array.map**: This method creates a new array with the results of applying a provided function to each element of the original array.

**Pros and cons of each approach:**

**Array.sort:**

Pros:

* In-place sorting, which can be beneficial for large arrays that need to be sorted multiple times.
* Can be faster than `Array.map` since it doesn't require creating a new array.

Cons:

* Requires the input array to be sorted or at least partially sorted, which can lead to slower performance if the array is already sorted or nearly sorted.
* In-place sorting means modifying the original array, which might not be desirable in some cases (e.g., preserving the original data).

**Array.map:**

Pros:

* Creates a new array without modifying the original one, making it safer to use when preserving the original data is important.
* Can be faster than `Array.sort` since it doesn't require sorting the entire array.

Cons:

* Requires creating a new array with the results, which can lead to increased memory usage and slower performance for very large arrays.
* May not perform as well if the function being applied to each element is computationally expensive.

**Other considerations:**

* The tests use a random shuffle function `shuffleArray` to ensure that the input data is randomly ordered. This helps to isolate the effect of `Array.sort` and `Array.map` alone, rather than any pre-existing order in the data.
* The tests are run on a large array of 5000 elements with random values between 0 and 4000.

**Library usage:**

There is no explicit library mentioned in the provided JSON. However, JavaScript has several built-in functions that can be used for sorting and mapping arrays, such as `Array.prototype.sort()` and `Array.prototype.map()`.

**Special JS features or syntax:**

None of the test code uses any special JavaScript features or syntax beyond what's standard in modern JavaScript implementations. The focus is on comparing the performance of two array operations, which can be performed using basic JavaScript functions.

**Alternatives:**

There are several other ways to measure and compare the performance of array operations in JavaScript:

1. **ES6 `Array.prototype.sort()` with different comparison functions**: You could test how different comparison functions affect the performance of `Array.sort`.
2. **Using a different sorting algorithm**: Instead of using `Array.sort`, you could implement or use an alternative sorting algorithm like quicksort, mergesort, or heapsort.
3. **Measuring the performance of array reduction operations**: In addition to sorting and mapping, you could test the performance of other array reduction operations like `Array.prototype.reduce()`.

Keep in mind that these alternatives might require more complexity in your benchmarking code and might not directly compare the same scenario as this example.

Related benchmarks:

Array.sort vs Array.map x1 (version: 0)

Comparing performance of: Array.sort vs Array.map

Created: 2 years ago by: Guest

Jump to the latest result

Array.sort

Array.map

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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