When working with performance-sensitive code in C++, using a data structure like std::set
can introduce overhead due to rehashing, especially when the number of elements grows unpredictably. To minimize this impact, consider the following strategies:
std::set::insert
method judiciously and ensure your data structure is pre-allocated for expected sizes, if possible.Using these strategies can help you manage the performance overhead related to std::set
in critical code paths.
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?