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

Providing a stable iteration order in C++ when working with large datasets is crucial for performance and data consistency. The use of `std::vector` ensures that elements maintain their order of insertion, but you need to manage operations carefully to maintain stability during sorting or filtering.

C++, std::vector, stable iteration, large datasets, data consistency, sorting, filtering


        // Example to illustrate stable iteration using std::vector in C++
        #include <iostream>
        #include <vector>
        #include <algorithm>
        
        struct Data {
            int id;
            std::string name;
        };
        
        bool compareById(const Data &a, const Data &b) {
            return a.id < b.id; 
        }

        int main() {
            std::vector dataset = {
                {2, "Alice"},
                {1, "Bob"},
                {3, "Charlie"},
                {2, "David"}
            };

            // Sort the vector by 'id' maintaining the order of insertion for equal elements
            std::stable_sort(dataset.begin(), dataset.end(), compareById);
            
            // Output the sorted dataset
            for (const auto &data : dataset) {
                std::cout << "ID: " << data.id << ", Name: " << data.name << std::endl;
            }

            return 0;
        }

C++ std::vector stable iteration large datasets data consistency sorting filtering

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

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

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