How do I provide stable iteration order with std::unordered_map in multithreaded code?

Managing stable iteration order in a `std::unordered_map` while dealing with multithreaded code can be challenging due to the inherent characteristics of unordered maps. However, by employing additional synchronization mechanisms or utilizing an alternative data structure, you can achieve stability in your iteration order across multiple threads.
C++, std::unordered_map, multithreaded, stable iteration, synchronization, data structure
// Example of using a mutex to ensure stable iteration order with std::unordered_map #include #include #include #include #include std::unordered_map myMap; std::mutex mapMutex; void addToMap(int key, const std::string& value) { std::lock_guard<:mutex> guard(mapMutex); myMap[key] = value; } void iterateMap() { std::lock_guard<:mutex> guard(mapMutex); for (const auto& pair : myMap) { std::cout << pair.first << ": " << pair.second << std::endl; } } int main() { std::vector<:thread> threads; // Create threads to add to the map for (int i = 0; i < 10; ++i) { threads.push_back(std::thread(addToMap, i, "value" + std::to_string(i))); } // Join threads for (auto& thread : threads) { thread.join(); } // Iterating over the map iterateMap(); return 0; }

C++ std::unordered_map multithreaded stable iteration synchronization data structure