In C++, the `std::forward_list` is a singly linked list that allows for efficient insertion and removal of elements. Two common methods to add elements to a `std::forward_list` are `push_front` and `emplace_front`. Understanding the difference between these two methods is essential for maximizing performance and ensuring proper resource management.
std::forward_list, emplace, push, C++, performance, resource management, container, linked list
This content explains the usage of emplace vs push with std::forward_list in C++, including examples for better understanding.
#include <iostream>
#include <forward_list>
// A simple struct for demonstration
struct Data {
int value;
Data(int v) : value(v) {} // Constructor
};
int main() {
std::forward_list fl;
// Using push_front
fl.push_front(Data(1)); // Calls the constructor
fl.push_front(Data(2)); // Calls the constructor again
// Using emplace_front
fl.emplace_front(3); // Constructs Data(3) in place
fl.emplace_front(4); // Constructs Data(4) in place
// Print the values
for (const auto& item : fl) {
std::cout << item.value << " ";
}
// Output will be: 4 3 2 1
return 0;
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?