Benchmark: javascript count sort vs native sort

Script Preparation code:

var diff = (a, b) => (a - b);
var bigArray = (new Array(1000)).fill(null).map(() => Math.floor(Math.random() * 200));

function countSort(originalArray, smallestElement = undefined, biggestElement = undefined) {
    // Init biggest and smallest elements in array in order to build number bucket array later.
    let detectedSmallestElement = smallestElement || 0;
    let detectedBiggestElement = biggestElement || 0;

    if (smallestElement === undefined || biggestElement === undefined) {
        originalArray.forEach((element) => {
            // Detect biggest element.
            if (element > detectedBiggestElement) {
                detectedBiggestElement = element;
            }

            // Detect smallest element.
            if (element < detectedSmallestElement) {
                detectedSmallestElement = element;
            }
        });
    }

    // Init buckets array.
    // This array will hold frequency of each number from originalArray.
    const buckets = Array(detectedBiggestElement - detectedSmallestElement + 1).fill(0);

    originalArray.forEach((element) => {
        buckets[element - detectedSmallestElement] += 1;
    });

    // Add previous frequencies to the current one for each number in bucket
    // to detect how many numbers less then current one should be standing to
    // the left of current one.
    for (let bucketIndex = 1; bucketIndex < buckets.length; bucketIndex += 1) {
        buckets[bucketIndex] += buckets[bucketIndex - 1];
    }

    // Now let's shift frequencies to the right so that they show correct numbers.
    // I.e. if we won't shift right than the value of buckets[5] will display how many
    // elements less than 5 should be placed to the left of 5 in sorted array
    // INCLUDING 5th. After shifting though this number will not include 5th anymore.
    buckets.pop();
    buckets.unshift(0);

    // Now let's assemble sorted array.
    const sortedArray = Array(originalArray.length).fill(null);
    for (let elementIndex = 0; elementIndex < originalArray.length; elementIndex += 1) {
        // Get the element that we want to put into correct sorted position.
        const element = originalArray[elementIndex];

        // Get correct position of this element in sorted array.
        const elementSortedPosition = buckets[element - detectedSmallestElement];

        // Put element into correct position in sorted array.
        sortedArray[elementSortedPosition] = element;

        // Increase position of current element in the bucket for future correct placements.
        buckets[element - detectedSmallestElement] += 1;
    }

    // Return sorted array.
    return sortedArray;
}

Tests:

count sort
countSort(bigArray)
native sort
bigArray.sort(diff)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
count sort
native sort

Fastest: N/A

Slowest: N/A

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Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4678.1 Safari/537.36

Browser/OS: Chrome 97 on Windows

View result in a separate tab

Test name	Executions per second
count sort	23988.3 Ops/sec
native sort	19483.6 Ops/sec

javascript count sort vs native sort (version: 0)

Comparing performance of: count sort vs native sort

Created: 2 years ago by: Registered User

Jump to the latest result

count sort

native sort

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A