如何提高C++大数据开发中的数据过滤效率?

#include <iostream>
#include <unordered_set>

int main() {
    std::unordered_set<int> dataSet;
    // 向数据集中添加数据
    for (int i = 0; i < 1000000; ++i) {
        dataSet.insert(i);
    }

    // 进行数据过滤
    for (int i = 0; i < 1000; ++i) {
        if (dataSet.find(i) != dataSet.end()) {
            std::cout << i << " ";
        }
    }

    return 0;
}

#include <iostream>
#include <vector>
#include <thread>

void filterData(const std::vector<int>& data, int start, int end) {
    for (int i = start; i < end; ++i) {
        if (data[i] > 100) {
            std::cout << data[i] << " ";
        }
    }
}

int main() {
    std::vector<int> dataSet;
    // 向数据集中添加数据
    for (int i = 0; i < 1000000; ++i) {
        dataSet.push_back(i);
    }

    int numThreads = std::thread::hardware_concurrency();
    int chunkSize = dataSet.size() / numThreads;
    std::vector<std::thread> threads;

    // 创建多个线程进行并行过滤
    for (int i = 0; i < numThreads; ++i) {
        int start = i * chunkSize;
        int end = (i == numThreads - 1) ? dataSet.size() : (i + 1) * chunkSize;
        threads.emplace_back(filterData, std::ref(dataSet), start, end);
    }

    // 等待所有线程结束
    for (auto& thread : threads) {
        thread.join();
    }

    return 0;
}

#include <iostream>

bool isPowerOfTwo(int num) {
    if (num <= 0) {
        return false;
    }

    return (num & (num - 1)) == 0;
}

int main() {
    for (int i = 0; i < 100; ++i) {
        if (isPowerOfTwo(i)) {
            std::cout << i << " ";
        }
    }

    return 0;
}