[灌水]比STL::map&STL::unordered_map效率高十倍的自写Hash_map

柔光的暖阳◎ 2022-10-16 07:49 31阅读 0赞

这个文章就是扯犊子用的,当然也附带源码.  
本文内的hash\_map基于我之前发布的[哈希表][Link 1]源码,改进而来.

200万条数据,循环100次 也就是2亿次的覆盖or追加.  
第一列的第一个窗口是STL容器的效率,第一列第二个窗口是自写Hash\_map的效率  
可以看到,速度相差十倍.  
而最下面的那个窗口则是检测数据写入是否成功.  
这2亿条数据,只要有一条写入不成功,都会直接退出程序并打印失败字符串.

该hash\_map之所以比STL的效率高,是因为哈希冲突的几率低,依靠[最优指数][Link 2]解决的哈希冲突.  
不保证该办法应用于所有情况.

hash\_map的效率,在最优指数支持的区间内,尽可能减少判断,和数组的效率是相差不大的.  
即拥有数组的写入效率,又拥有哈希表的快速定位能力.

![效率][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQyNDY4MjI2_size_16_color_FFFFFF_t_70]  
**之所以右下角的窗口最大的数据为200万,是因为重复10次200万,而key也就代表着重复9次,除了第1次是数据追加,其余的均是数据覆写.**

--------------------

改进过的Hash\_map源码

#ifndef NULL
    #define NULL 0x0
    #endif
    #include <iostream>
    #include <windows.h>
    
    
    using uint = unsigned int;
    using hash = uint;
    using BOOL = int;
    
    template <typename keyType, typename dataType>
    class Hash_node
    { 
        keyType key;
        dataType data;
        Hash_node* nPoint;
    public:
        Hash_node(const keyType& key = NULL, const dataType& data = NULL, Hash_node* nPoint = nullptr) :key(key), data(data), nPoint(nPoint)
        { 
    
        }
    
        Hash_node GetObj(void) const
        { 
            return this;
        }
    
        const keyType& GetKey(void) const
        { 
            return this->key;
        }
    
        dataType& GetData(void)
        { 
            return this->data;
        }
    
        Hash_node*& GetPoint(void)
        { 
            return this->nPoint;
        }
    };
    
    template <typename keyType, typename dataType, size_t mapSize>
    class Hash_map
    { 
        hash hashValue;
        Hash_node<keyType, dataType>** map{  new Hash_node<keyType, dataType>*[mapSize] { nullptr} };
    
        BOOL CalcMapSize(void) const
        { 
            size_t tmp = mapSize;
            if (tmp > 32 && tmp < 64)
                return 0;
            if (tmp > 64 && tmp < 128)
                return 1;
            if (tmp > 128 && tmp < 256)
                return 2;
            if (tmp > 1048576 && tmp < 2097152)
                return 3;
            return 0;
        }
    
        hash CalcHashModle(void) const
        { 
            hash moudle{  0 };
            switch (CalcMapSize())
            { 
            case 0:
                moudle = 53;
                break;
            case 1:
                moudle = 97;
                break;
            case 2:
                moudle = 193;
                break;
            case 3:
                moudle = 1572869;
                break;
            default:
                moudle = 53;
                break;
            }
            return moudle;
        }
    
        hash HashFunction(const keyType& key)
        { 
            hash moudle = this->CalcHashModle();
    
            this->hashValue = ((hash)key % moudle) % mapSize;
            return this->hashValue;
        }
    
    public:
        Hash_map(const keyType& key = NULL, const dataType& data = NULL) :hashValue()
        { 
        }
    
        ~Hash_map()
        { 
            if (!map)
                return;
            this->RemoveAll();
            delete[]map;
        }
    
        BOOL Push(const keyType& key, const dataType& data)
        { 
            this->HashFunction(key);
    
            Hash_node<keyType, dataType>** hnpp{  &this->map[hashValue] };
            while (*hnpp)
            { 
                if ((*hnpp)->GetKey() == key)
                { 
                    (*hnpp)->GetData() = data;
                    return 0;   // 数据覆盖
                }
    
                hnpp = &(*hnpp)->GetPoint();
            }
    
            if (!*hnpp)
            { 
                *hnpp = new Hash_node<keyType, dataType>{  key,data };
                return 1;   // 数据写入
            }
    
            return -1;  // 写入失败
        }
    
        BOOL FindItem(keyType key, dataType data)
        { 
            this->HashFunction(key);
    
            Hash_node<keyType, dataType>** hnpp{  &this->map[hashValue] };
            while (*hnpp)
            { 
    
                if ((*hnpp)->GetData() == data && (*hnpp)->GetKey() == key)
                { 
                    std::cout << "Find key & data :" << key << "|" << data << std::endl;
                    return 2;
                }
    
                if ((*hnpp)->GetKey() == key)
                { 
                    std::cout << "Find key" << std::endl;
                    return 1;
                }
    
                hnpp = &(*hnpp)->GetPoint();
            }
    
            std::cout << "defeated" << std::endl;
            return 0;  // 写入失败
        }
    
        void RemoveAll(void)
        { 
            if (!map)
                return;
    
            auto p = map;
            for (int i = 0; i < mapSize; ++i)
            { 
                auto q = *p++;
                while (q)
                { 
                    auto ptr = q;
                    q = q->GetPoint();
                    delete ptr;
                }
            }
        }
    
    };
    
    BOOL main(void)
    { 
        auto t = GetTickCount();
        Hash_map<int, int, 2097150>hash_map{  15,99 };
        for (int i = 0; i < 100; ++i)
            for (int j = 0; j < 2097150; ++j)
                hash_map.Push(j, j);
        std::cout << "Hash_map:" << (GetTickCount() - t) / 1000.f << std::endl;
    
        for (int i = 0; i < 2097150; ++i)
            if (!hash_map.FindItem(i, i))
            { 
                std::cout << "有数据写入失败:" << i << std::endl;
                return -1;
            }
    
        return 0;
    }

--------------------

STL容器测试代码

#include <iostream>
    #include <Windows.h>
    #include <unordered_map>
    #include <map>
    
    int main(void)
    { 
        auto t = GetTickCount();
        std::unordered_map<int, int>hash_map;
        std::map<int, int>map;
        for (int i = 0; i < 100; ++i)
            for (int j = 0; j < 2097150; ++j)
                hash_map[j] = j;
        std::cout << "STLHash_map:" << ( GetTickCount() - t ) / 1000.f << std::endl;
        t = GetTickCount();
        for (int i = 0; i < 100; ++i)
            for (int j = 0; j < 2097150; ++j)
                map[j] = j;
        std::cout << "STLMap:" << ( GetTickCount() - t) / 1000.f << std::endl;
    
        return 0;
    }

大家的执行次数一样,写入的数据也是一样的.

除了因为改进的hash\_map使用最优质数,减少哈希冲突,让其宽度更广以外.  
还因为写入算法,是依靠2级指针来实现的.又省去了至少2次判断.

--------------------

源码不保证可以应用所用项目.  
请自行根据自己需求改进.  
默认源码,支持泛式使用.  
模板参数1:key值类型,模板参数2:数据类型,模板参数3:mapSize

CalcMapSize和CalcHashMoudle函数,为了保障效率,请自行根据[最优指数][Link 2]修改添加.

[Link 1]: https://blog.csdn.net/qq_42468226/article/details/117138031?spm=1001.2014.3001.5501
[Link 2]: https://blog.csdn.net/qq_42468226/article/details/117166210?spm=1001.2014.3001.5501
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQyNDY4MjI2_size_16_color_FFFFFF_t_70]: /images/20221014/2eed44d2c14a4f21ab44956430349721.png