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How to Do Bubble Sort in C++

by | C++, DSA, Programming, Tips

Bubble sort is a popular sorting algorithm that compares the adjacent elements in a list and swaps them if they are not in the specified order.

This tutorial will go through how to implement the bubble sort algorithm in C++ with the help of code examples.

How Bubble Sort Works

The bubble sort algorithm, also known as sinking sort, is the most straightforward sorting algorithm. The algorithm goes through an array repeatedly, compares adjacent elements and swaps them if they are out of order. We can use the bubble sort algorithm to sort in ascending (largest element last) or descending order (largest element first). Let’s look at an example of how the bubble sort algorithm can sort an array of five numbers in ascending order.

First Iteration

  1. Starting from the first element in the array, compare the first and second elements.
  2. If the first element is greater than the second element, swap the elements.
  3. Compare the second and third elements, swap them if they are not in order.
  4. Proceed with the above process until the last element.

Let’s look at the first pass, which means the algorithm goes over the array:

The first pass of the Bubble sort algorithm on an array of five numbers
The first pass of the Bubble sort algorithm on an array of five numbers

The above image shows how the array looks after each step in the pass over the array. Note how the largest number in the array bubbles to the top of the array. Let’s look at the second pass:

The second pass of the Bubble sort algorithm on an array of five numbers
The second pass of the Bubble sort algorithm on an array of five numbers

The algorithm only swaps elements if the right element is less than the left element in the array. Finally, we have the third pass:

The third pass of the Bubble sort algorithm on an array of five numbers
The third pass of the Bubble sort algorithm on an array of five numbers

The number of passes over the array is dependent on the array size and the arrangement of the array elements.

Bubble Sort Pseudocode

Let’s look at the pseudo-code describing the bubble sort algorithm.

procedure bubbleSort(A : list of sortable items)

    n := length(A)

      for i := 0 to n-1 inclusive do

         for j := 0 to n-i-1 inclusive do

            // Element comparison

             if A[j] > A[j+1] then

                 // If not in the correct order then swap the elements

                 swap(A[j], A[j+1])

             end if

        end for

    end for

end procedure

Optimized Bubble Sort in C++

Let’s look at the function to perform Bubble sort in C++.

#include <iostream>
using namespace std;

void optimizedbubbleSort(int arr[], int n) {

    int i, j;

    bool is_swapped;

    for (int i = 0; i < n-1; i++) {


       for (int j = 0; j < n - i - 1; j++) {

            if (arr[j] > arr[j + 1]) {
                is_swapped = true;

                int temp = arr[j];

                arr[j] = arr[j + 1];

                arr[j + 1] = temp;



        if (!is_swapped) {





void printArray(int arr[], int n){

    for (int i = 0; i < n; i++){

        cout << "  " << arr[i];


    cout << "\n";


We introduce a variable is_swapped set it to False. We set is_swapped to True if we swap the elements after comparison. Otherwise, we leave it as False.

We use an if statement to check the value of is_swapped. If we get False, we break out of the loop, ensuring that we do not compare already sorted elements.

We have a function to print the array elements to the console called printArray().

Let’s look at the main function where we call the optimizedbubbleSort() function on an unsorted array of integers.

int main(){

    int arr[] = {45, 32, 12, 22, 24, 11, 101};

    int n = sizeof(arr) / sizeof(arr[0]);

    cout << "Unsorted array:\n" << endl;

    printArray(arr, n);

    optimizedbubbleSort(arr, n);

    cout << "Sorted array:\n" << endl;

    printArray(arr, n);

    return 0;


We use the printArray() function to get the elements before and after sorting.

How to Compile in C++

We can compile the code using the GNU C++ compiler g++. We can specify the name of the executable using the -o flag.

g++ -o bubble_sort.exe main.cpp 

Let’s run the code to see what happens:

Unsorted array:

  45  32  12  22  24  11  101
Sorted array:

  11  12  22  24  32  45  101

We successfully sort the array of numbers in ascending order.

C++ Sorting Benchmark

Sorting with 50,000 Elements Ten Times with C++

Let’s scale the application of the optimized Bubble Sort algorithm. We will define an array of 50,000 numbers and pass it to the Bubble sort algorithm, and we will repeat the sorting of the array ten times. Let’s look at the code:

#include <chrono>
using namespace std::chrono;

int main() {

    int n = 50 * 1000;

    int rerun = 10;

    int *arr = new int[n];

    for (auto i = 0; i < n; i++)

        arr[i] = n - i;

    auto start = high_resolution_clock::now();

    for (int r = 0; r < rerun; r++) {

        optimizedbubbleSort(arr, n);


    auto stop = high_resolution_clock::now();

    auto duration = duration_cast<seconds>(stop - start);

    cout << "Time taken by function to sort 50000 elements 10 times: "

         << duration.count() << " seconds" << endl;

    return 0;

We use the high_resolution_clock::now() function from the chrono namespace to time the reruns of the function. Let’s compile and run the code to get the timing result:

Time taken by function to sort 50000 elements 10 times: 4 seconds

Bubble Sort Complexity

Time Complexity

Bubble sort employs two loops: an inner loop and an outer loop. The number of comparisons made is:

(n - 1 ) + (n - 2) + (n - 3) + ... + 1 = n(n-1)/2

Which approximates to n^{2}, therefore the complexity of the bubble sort algorithm is O(n^{2}).

Bubble Sort Worst Case Time Complexity

  • Outer loop runs O(n) times
  • As a result the worst-case time complexity of bubble sort is O(n \times n) = O(n^{2}).
  • This is also the average case complexity, in other words, the elements of the array are in jumbled order and are neither ascending nor descending. This complexity occurs because irrespective of the arrangement of elements, the number of comparisons is the same.

Bubble Sort Best Case Time Complexity

  • If the list is already sorted, outer loop runs O(n) times.

Space Complexity

  • Space complexity is O(1) because we use an extra variable temp for swapping.
  • In the optimized bubble sort algorithm we use two extra variables temp and is_swapped. Therefore the space complexity is O(2).


Congratulations on reading to the end of this tutorial! We went through how to do Bubble Sort with C++.

For further reading on the implementation of Bubble Sort, go to the articles:

Have fun and happy researching!