常用字符串哈希函数有BKDRHash,APHash,DJBHash,JSHash,RSHash,SDBMHash,PJWHash,ELFHash等等。
C++代码实现:
#include <iostream> #define M 249997 #define M1 1000003 #define M2 10000019 //大素数 using namespace std; // RS Hash Function unsigned int RSHash(char*str) { unsigned int b=378551 ; unsigned int a=63689 ; unsigned int hash=0 ; while(*str) { hash=hash*a+(*str++); a*=b ; } return(hash % M2); } // JS Hash Function unsigned int JSHash(char*str) { unsigned int hash=1315423911 ; while(*str) { hash^=((hash<<5)+(*str++)+(hash>>2)); } return(hash % M2); } // P. J. Weinberger Hash Function unsigned int PJWHash(char*str) { unsigned int BitsInUnignedInt=(unsigned int)(sizeof(unsigned int)*8); unsigned int ThreeQuarters=(unsigned int)((BitsInUnignedInt*3)/4); unsigned int OneEighth=(unsigned int)(BitsInUnignedInt/8); unsigned int HighBits=(unsigned int)(0xFFFFFFFF)<<(BitsInUnignedInt-OneEighth); unsigned int hash=0 ; unsigned int test=0 ; while(*str) { hash=(hash<<OneEighth)+(*str++); if((test=hash&HighBits)!=0) { hash=((hash^(test>>ThreeQuarters))&(~HighBits)); } } return(hash % M2); } // ELF Hash Function unsigned int ELFHash(char*str) { unsigned int hash=0 ; unsigned int x=0 ; while(*str) { hash=(hash<<4)+(*str++); if((x=hash&0xF0000000L)!=0) { hash^=(x>>24); hash&=~x ; } } return(hash % M2); } // BKDR Hash Function unsigned int BKDRHash(char*str) { unsigned int seed=131 ;// 31 131 1313 13131 131313 etc.. unsigned int hash=0 ; while(*str) { hash=hash*seed+(*str++); } return(hash % M2); } // SDBM Hash Function unsigned int SDBMHash(char*str) { unsigned int hash=0 ; while(*str) { hash=(*str++)+(hash<<6)+(hash<<16)-hash ; } return(hash % M2); } // DJB Hash Function unsigned int DJBHash(char*str) { unsigned int hash=5381 ; while(*str) { hash+=(hash<<5)+(*str++); } return(hash % M2); } // AP Hash Function unsigned int APHash(char*str) { unsigned int hash=0 ; int i ; for(i=0;*str;i++) { if((i&1)==0) { hash^=((hash<<7)^(*str++)^(hash>>3)); } else { hash^=(~((hash<<11)^(*str++)^(hash>>5))); } } return(hash % M2); } int main() { char *str = "abcdefg"; cout<<"RSHash:"<<RSHash(str)<<endl; cout<<"JSHash:"<<JSHash(str)<<endl; cout<<"PJWHash:"<<PJWHash(str)<<endl; cout<<"ELFHash:"<<ELFHash(str)<<endl; cout<<"BKDRHash:"<<BKDRHash(str)<<endl; cout<<"SDBMHash:"<<SDBMHash(str)<<endl; cout<<"DJBHash:"<<DJBHash(str)<<endl; cout<<"APHash:"<<APHash(str)<<endl; return 0; }
测试代码:测试SDBMHash
#include<stdio.h> #define BUCKETS 101 unsigned int SDBMHash(char *str) { unsigned int hash = 0; while (*str) { // equivalent to: hash = 65599*hash + (*str++); hash = (*str++) + (hash << 6) + (hash << 16) - hash; } return (hash & 0x7FFFFFFF) % BUCKETS; } int main(void) { char *keywords[] = { "auto", "break", "case", "char", "const", "continue", "default", "do", "double", "else", "enum", "extern", "float", "for", "goto", "if", "int", "long", "register", "return", "short", "signed", "sizeof", "static", "struct", "switch", "typedef", "union", "unsigned", "void", "volatile", "while" }; // 哈希表每个地址的映射次数 // 0地址的映射次数用count[0]表示 int count[BUCKETS] = {0}; int i; int size = sizeof(keywords) / sizeof(keywords[0]); for (i = 0; i < size; i++) { int pos = SDBMHash(keywords[i]); count[pos]++; } for (i = 0; i < size; i++) { int pos = SDBMHash(keywords[i]); printf("%-10s %d %d\n", keywords[i], pos, count[pos]); } return 0; }
对于以上几种哈希函数,对其进行了一个小小的评测。
Hash函数 | 数据1 | 数据2 | 数据3 | 数据4 | 数据1得分 | 数据2得分 | 数据3得分 | 数据4得分 | 平均分 |
BKDRHash | 2 | 0 | 4774 | 481 | 96.55 | 100 | 90.95 | 82.05 | 92.64 |
APHash | 2 | 3 | 4754 | 493 | 96.55 | 88.46 | 100 | 51.28 | 86.28 |
DJBHash | 2 | 2 | 4975 | 474 | 96.55 | 92.31 | 0 | 100 | 83.43 |
JSHash | 1 | 4 | 4761 | 506 | 100 | 84.62 | 96.83 | 17.95 | 81.94 |
RSHash | 1 | 0 | 4861 | 505 | 100 | 100 | 51.58 | 20.51 | 75.96 |
SDBMHash | 3 | 2 | 4849 | 504 | 93.1 | 92.31 | 57.01 | 23.08 | 72.41 |
PJWHash | 30 | 26 | 4878 | 513 | 0 | 0 | 43.89 | 0 | 21.95 |
ELFHash | 30 | 26 | 4878 | 513 | 0 | 0 | 43.89 | 0 | 21.95 |
其中数据1为100000个字母和数字组成的随机串哈希冲突个数。数据2为100000个有意义的英文句子哈希冲突个数。数据3为数据1的哈希值与1000003(大素数)求模后存储到线性表中冲突的个数。数据4为数据1的哈希值与10000019(更大素数)求模后存储到线性表中冲突的个数。
经过比较,得出以上平均得分。平均数为平方平均数。可以发现,BKDRHash无论是在实际效果还是编码实现中,效果都是最突出的。APHash也是较为优秀的算法。DJBHash,JSHash,RSHash与SDBMHash各有千秋。PJWHash与ELFHash效果最差,但得分相似,其算法本质是相似的。