How do I provide stable iteration order with std::map for large datasets?

When dealing with large datasets in C++, using `std::map` can provide a stable iteration order based on the keys. The data in a `std::map` is stored in a balanced tree structure, typically a Red-Black Tree, which ensures that the elements are always sorted by their keys. This property is essential for applications that require consistent and predictable ordering of data when iterated over.

Here is a simple example demonstrating how to use `std::map` for stable iteration order:


        #include <iostream>
        #include <map>
        #include <string>

        int main() {
            std::map<std::string, int> ageMap;

            // Inserting data into the map.
            ageMap["Alice"] = 30;
            ageMap["Bob"] = 25;
            ageMap["Charlie"] = 35;

            // Iterating over the map to print the elements.
            for (const auto &pair : ageMap) {
                std::cout << pair.first << ": " << pair.second << std::endl;
            }

            return 0;
        }

How do I provide stable iteration order with std::map for large datasets?

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How do I provide stable iteration order with std::map for large datasets?

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