// 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;
}
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?