How do I avoid rehashing overhead with std::vector for large datasets?

Learn how to avoid rehashing overhead with std::vector when handling large datasets in C++. This guide provides insights and examples to enhance performance and efficiency in your applications.

std::vector, C++, data structure, performance optimization, large datasets, rehashing overhead

#include <iostream>
#include <vector>

int main() {
    // Pre-allocate memory to avoid rehashing overhead
    size_t largeDatasetSize = 1000000; // Large dataset size
    std::vector largeVector;       // Declaration of vector
    largeVector.reserve(largeDatasetSize); // Pre-allocate memory

    // Insert elements into the vector
    for (size_t i = 0; i < largeDatasetSize; ++i) {
        largeVector.push_back(i);
    }

    // Output the size of the vector
    std::cout << "Size of vector: " << largeVector.size() << std::endl;

    return 0;
}

std::vector C++ data structure performance optimization large datasets rehashing overhead