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;
}
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