In Java, the behavior of Map in multithreaded code can exhibit issues such as data inconsistency and unexpected results if proper synchronization is not implemented. Most standard implementations of Map, such as HashMap, are not thread-safe, meaning that concurrent access by multiple threads can lead to unpredictable behavior.
To safely use Map in multithreaded environments, it is advisable to either use a synchronized wrapper around the Map or utilize concurrent collections like ConcurrentHashMap that are designed for concurrent access.
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?