Standard C library provides qsort function that can be used for sorting an array. Following is the prototype of qsort() function.

// Sort an array of any type. The parameters are, base // address of array, size of array and pointer to // comparator function void qsort (void* base, size_t num, size_t size, int (*comparator)(const void*, const void*));

It requires a pointer to the array, the number of elements in the array, the size of each element and a comparator function. We have discussed qsort comparator in detail here.

C++ Standard Library provides a similar function sort() that originated in the STL. We have discussed C++ sort here. Following are prototypes of C++ sort() function.

// To sort in default or ascending order. templatevoid sort(T first, T last); // To sort according to the order specified // by comp. template void sort(T first, T last, Compare comp);

The order of equal elements is not guaranteed to be preserved. C++ provides std::stable_sort that can be used to preserve order.

**Comparison to qsort and sort()****1. Implementation details:**

As the name suggests, qsort function uses QuickSort algorithm to sort the given array, although the C standard does not require it to implement quicksort.

C++ sort function uses introsort which is a hybrid algorithm. Different implementations use different algorithms. The GNU Standard C++ library, for example, uses a 3-part hybrid sorting algorithm: introsort is performed first (introsort itself being a hybrid of quicksort and heap sort) followed by an insertion sort on the result.

**2. Complexity :**

The C standard doesn’t talk about its complexity of qsort. The new C++11 standard requires that the complexity of sort to be O(Nlog(N)) in the worst case. Previous versions of C++ such as C++03 allow possible worst case scenario of O(N^2). Only average complexity was required to be O(N log N).

**3. Running time:**

STL’s sort ran faster than C’s qsort, because C++’s templates generate optimized code for a particular data type and a particular comparison function.

STL’s sort runs 20% to 50% faster than the hand-coded quicksort and 250% to 1000% faster than the C qsort library function. C might be the fastest language but qsort is very slow.

When we tried to sort one million integers on C++14, Time taken by C qsort() was 0.247883 sec and time taken by C++ sort() was only 0.086125 sec

`// C++ program to demonstrate performance of` `// C qsort and C++ sort() algorithm` `#include <bits/stdc++.h>` `using` `namespace` `std;` ` ` `// Number of elements to be sorted` `#define N 1000000` ` ` `// A comparator function used by qsort` `int` `compare(` `const` `void` `* a, ` `const` `void` `* b)` `{` ` ` `return` `( *(` `int` `*)a - *(` `int` `*)b );` `}` ` ` `// Driver program to test above functions` `int` `main()` `{` ` ` `int` `arr[N], dupArr[N];` ` ` ` ` `// seed for random input` ` ` `srand` `(` `time` `(NULL));` ` ` ` ` `// to measure time taken by qsort and sort` ` ` `clock_t` `begin, end;` ` ` `double` `time_spent;` ` ` ` ` `// generate random input` ` ` `for` `(` `int` `i = 0; i < N; i++)` ` ` `dupArr[i] = arr[i] = ` `rand` `()%100000;` ` ` ` ` `begin = ` `clock` `();` ` ` `qsort` `(arr, N, ` `sizeof` `(` `int` `), compare);` ` ` `end = ` `clock` `();` ` ` ` ` `// calculate time taken by C qsort function` ` ` `time_spent = (` `double` `)(end - begin) / CLOCKS_PER_SEC;` ` ` ` ` `cout << ` `"Time taken by C qsort() - "` ` ` `<< time_spent << endl;` ` ` ` ` `time_spent = 0.0;` ` ` ` ` `begin = ` `clock` `();` ` ` `sort(dupArr, dupArr + N);` ` ` `end = ` `clock` `();` ` ` ` ` `// calculate time taken by C++ sort` ` ` `time_spent = (` `double` `)(end - begin) / CLOCKS_PER_SEC;` ` ` ` ` `cout << ` `"Time taken by C++ sort() - "` ` ` `<< time_spent << endl;` ` ` ` ` `return` `0;` `}` |

Output :

Time taken by C qsort() - 0.247883 Time taken by C++ sort() - 0.086125

C++ sort() is blazingly faster than qsort() on equivalent data due to inlining. sort() on a container of integers will be compiled to use std::less

**4. Flexibility:**

STL’s sort works for all data types and for different data containers like C arrays, C++ vectors, C++ deques, etc and other containers that can be written by the user. This kind of flexibility is rather difficult to achieve in C.

**5. Safety:**

Compared to qsort, the templated sort is more type-safe since it does not require access to data items through unsafe void pointers, as qsort does.

**References:**

http://theory.stanford.edu/~amitp/rants/c++-vs-c

https://en.wikipedia.org/wiki/Sort_(C%2B%2B)

This article is contributed by **Aditya Goel**. If you like GeeksforGeeks and would like to contribute, you can also write an article and mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

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