如何解决C++大数据开发中的数据分布不均问题?

#include <iostream>
#include <vector>

// 数据划分函数
std::vector<std::vector<int>> dataPartition(const std::vector<int>& data, int partitionNum) {
    std::vector<std::vector<int>> partitions(partitionNum);
    int dataSize = data.size();
    int dataSizePerPartition = dataSize / partitionNum;
    int remainder = dataSize % partitionNum;

    int startIndex = 0;
    int endIndex = 0;
    for (int i = 0; i < partitionNum; i++) {
        endIndex = startIndex + dataSizePerPartition;
        if (remainder > 0) {
            endIndex++;
            remainder--;
        }
        partitions[i] = std::vector<int>(data.begin() + startIndex, data.begin() + endIndex);
        startIndex = endIndex;
    }

    return partitions;
}

int main() {
    std::vector<int> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
    int partitionNum = 3;

    std::vector<std::vector<int>> partitions = dataPartition(data, partitionNum);

    for (const auto& partition : partitions) {
        for (int num : partition) {
            std::cout << num << " ";
        }
        std::cout << std::endl;
    }

    return 0;
}

#include <iostream>
#include <unordered_map>
#include <vector>

// 哈希函数
int hashFunction(int key, int range) {
    return key % range;
}

int main() {
    std::vector<int> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
    int range = 3;

    std::unordered_map<int, std::vector<int>> partitions;

    for (int num : data) {
        int partitionIndex = hashFunction(num, range);
        partitions[partitionIndex].push_back(num);
    }

    for (const auto& partition : partitions) {
        std::cout << "Partition " << partition.first << ": ";
        for (int num : partition.second) {
            std::cout << num << " ";
        }
        std::cout << std::endl;
    }

    return 0;
}

#include <iostream>
#include <unordered_map>
#include <vector>

// 数据倾斜检测与调整函数
void detectAndAdjustDataSkew(std::vector<int>& data) {
    std::unordered_map<int, int> frequencyMap;

    // 统计每个元素的频率
    for (int num : data) {
        frequencyMap[num]++;
    }

    // 查找出现频率最高的元素
    int maxFrequency = 0;
    int skewValue = 0;

    for (const auto& frequency : frequencyMap) {
        if (frequency.second > maxFrequency) {
            maxFrequency = frequency.second;
            skewValue = frequency.first;
        }
    }

    // 将出现频率最高的元素移到数据的最后
    int dataLength = data.size();

    for (int i = 0; i < dataLength; i++) {
        if (data[i] == skewValue) {
            std::swap(data[i], data[dataLength - 1]);
            dataLength--;
            i--;
        }
    }
}

int main() {
    std::vector<int> data = {1, 2, 3, 4, 5, 5, 5, 6, 7, 8, 9, 10};

    std::cout << "Before data skew adjustment: ";
    for (int num : data) {
        std::cout << num << " ";
    }
    std::cout << std::endl;

    detectAndAdjustDataSkew(data);

    std::cout << "After data skew adjustment: ";
    for (int num : data) {
        std::cout << num << " ";
    }
    std::cout << std::endl;

    return 0;
}