In performance-sensitive C++ code, using `std::deque` can lead to rehashing overhead if not managed properly, especially when modifying the container's size frequently. To avoid unnecessary reallocation, consider the following techniques:
Here is an example of how to use `std::deque` in a performance-sensitive context:
std::deque myDeque;
// Preload data into the deque avoiding rehashing
for (int i = 0; i < 1000; ++i) {
myDeque.push_back(i);
}
// Batch processing to minimize size changes
for (auto it = myDeque.begin(); it != myDeque.end(); ++it) {
// Perform some operations
}
// Efficiently access elements
int firstElement = myDeque.front();
int lastElement = myDeque.back();
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?