How do I reserve capacity ahead of time with std::map in multithreaded code?

In multithreaded C++ applications, reserving capacity for data structures can help improve performance and reduce contention. However, for std::map, capacity reservation is not directly available like in std::vector. As std::map is an associative container that uses a tree structure, its memory allocation is dynamic. In this article, we discuss strategies to handle this in a multithreaded context effectively.
C++, std::map, multithreaded programming, capacity reservation, performance optimization, data structures
// Example code demonstrating how to work with std::map in a multithreaded context #include #include #include #include #include std::map myMap; std::mutex mapMutex; // Function to add elements to the map void addElements(int start, int end) { for (int i = start; i < end; ++i) { std::lock_guard<:mutex> lock(mapMutex); myMap[i] = i * 2; // Example operation } } int main() { std::thread t1(addElements, 0, 50); std::thread t2(addElements, 50, 100); t1.join(); t2.join(); for (const auto &pair : myMap) { std::cout << pair.first << " : " << pair.second << std::endl; } return 0; }

C++ std::map multithreaded programming capacity reservation performance optimization data structures

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