Hash算法大全

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转载最新推荐文章于 2026-03-02 00:22:51 发布 2.5k 阅读 AI 写同款· GEO 优化 ›

很常用的HASH算法一种很常用的HASH函数实现，该HASH函数可以使得数据均匀的分布在HASH列表中。立即下载

Hash算法有很多很多种类。具体的可以参考之前我写的Hash算法的一些分析。本处给大家提供一个集合了很多使用的Hash算法的类，应该可以满足不少人的需要的：

Java代码

/**
* Hash算法大全<br>
* 推荐使用FNV1算法
* @algorithm None
* @author Goodzzp 2006-11-20
* @lastEdit Goodzzp 2006-11-20
* @editDetail Create
*/
public class HashAlgorithms
{
/**
* 加法hash
* @param key 字符串
* @param prime 一个质数
* @return hash结果
*/
public static int additiveHash(String key, int prime)
{
int hash, i;
for (hash = key.length(), i = 0; i < key.length(); i++)
hash += key.charAt(i);
return (hash % prime);
}
/**
* 旋转hash
* @param key 输入字符串
* @param prime 质数
* @return hash值
*/
public static int rotatingHash(String key, int prime)
{
int hash, i;
for (hash=key.length(), i=0; i<key.length(); ++i)
hash = (hash<<4)^(hash>>28)^key.charAt(i);
return (hash % prime);
// return (hash ^ (hash>>10) ^ (hash>>20));
}
// 替代：
// 使用：hash = (hash ^ (hash>>10) ^ (hash>>20)) & mask;
// 替代：hash %= prime;
/**
* MASK值，随便找一个值，最好是质数
*/
static int M_MASK = 0x8765fed1;
/**
* 一次一个hash
* @param key 输入字符串
* @return 输出hash值
*/
public static int oneByOneHash(String key)
{
int hash, i;
for (hash=0, i=0; i<key.length(); ++i)
{
hash += key.charAt(i);
hash += (hash << 10);
hash ^= (hash >> 6);
}
hash += (hash << 3);
hash ^= (hash >> 11);
hash += (hash << 15);
// return (hash & M_MASK);
return hash;
}
/**
* Bernstein's hash
* @param key 输入字节数组
* @param level 初始hash常量
* @return 结果hash
*/
public static int bernstein(String key)
{
int hash = 0;
int i;
for (i=0; i<key.length(); ++i) hash = 33*hash + key.charAt(i);
return hash;
}
//
//// Pearson's Hash
// char pearson(char[]key, ub4 len, char tab[256])
// {
// char hash;
// ub4 i;
// for (hash=len, i=0; i<len; ++i)
// hash=tab[hash^key[i]];
// return (hash);
// }
//// CRC Hashing，计算crc,具体代码见其他
// ub4 crc(char *key, ub4 len, ub4 mask, ub4 tab[256])
// {
// ub4 hash, i;
// for (hash=len, i=0; i<len; ++i)
// hash = (hash >> 8) ^ tab[(hash & 0xff) ^ key[i]];
// return (hash & mask);
// }
/**
* Universal Hashing
*/
public static int universal(char[]key, int mask, int[] tab)
{
int hash = key.length, i, len = key.length;
for (i=0; i<(len<<3); i+=8)
{
char k = key[i>>3];
if ((k&0x01) == 0) hash ^= tab[i+0];
if ((k&0x02) == 0) hash ^= tab[i+1];
if ((k&0x04) == 0) hash ^= tab[i+2];
if ((k&0x08) == 0) hash ^= tab[i+3];
if ((k&0x10) == 0) hash ^= tab[i+4];
if ((k&0x20) == 0) hash ^= tab[i+5];
if ((k&0x40) == 0) hash ^= tab[i+6];
if ((k&0x80) == 0) hash ^= tab[i+7];
}
return (hash & mask);
}
/**
* Zobrist Hashing
*/
public static int zobrist( char[] key,int mask, int[][] tab)
{
int hash, i;
for (hash=key.length, i=0; i<key.length; ++i)
hash ^= tab[i][key[i]];
return (hash & mask);
}
// LOOKUP3
// 见Bob Jenkins(3).c文件
// 32位FNV算法
static int M_SHIFT = 0;
/**
* 32位的FNV算法
* @param data 数组
* @return int值
*/
public static int FNVHash(byte[] data)
{
int hash = (int)2166136261L;
for(byte b : data)
hash = (hash * 16777619) ^ b;
if (M_SHIFT == 0)
return hash;
return (hash ^ (hash >> M_SHIFT)) & M_MASK;
}
/**
* 改进的32位FNV算法1
* @param data 数组
* @return int值
*/
public static int FNVHash1(byte[] data)
{
final int p = 16777619;
int hash = (int)2166136261L;
for(byte b:data)
hash = (hash ^ b) * p;
hash += hash << 13;
hash ^= hash >> 7;
hash += hash << 3;
hash ^= hash >> 17;
hash += hash << 5;
return hash;
}
/**
* 改进的32位FNV算法1
* @param data 字符串
* @return int值
*/
public static int FNVHash1(String data)
{
final int p = 16777619;
int hash = (int)2166136261L;
for(int i=0;i<data.length();i++)
hash = (hash ^ data.charAt(i)) * p;
hash += hash << 13;
hash ^= hash >> 7;
hash += hash << 3;
hash ^= hash >> 17;
hash += hash << 5;
return hash;
}
/**
* Thomas Wang的算法，整数hash
*/
public static int intHash(int key)
{
key += ~(key << 15);
key ^= (key >>> 10);
key += (key << 3);
key ^= (key >>> 6);
key += ~(key << 11);
key ^= (key >>> 16);
return key;
}
/**
* RS算法hash
* @param str 字符串
*/
public static int RSHash(String str)
{
int b = 378551;
int a = 63689;
int hash = 0;
for(int i = 0; i < str.length(); i++)
{
hash = hash * a + str.charAt(i);
a = a * b;
}
return (hash & 0x7FFFFFFF);
}
/* End Of RS Hash Function */
/**
* JS算法
*/
public static int JSHash(String str)
{
int hash = 1315423911;
for(int i = 0; i < str.length(); i++)
{
hash ^= ((hash << 5) + str.charAt(i) + (hash >> 2));
}
return (hash & 0x7FFFFFFF);
}
/* End Of JS Hash Function */
/**
* PJW算法
*/
public static int PJWHash(String str)
{
int BitsInUnsignedInt = 32;
int ThreeQuarters = (BitsInUnsignedInt * 3) / 4;
int OneEighth = BitsInUnsignedInt / 8;
int HighBits = 0xFFFFFFFF << (BitsInUnsignedInt - OneEighth);
int hash = 0;
int test = 0;
for(int i = 0; i < str.length();i++)
{
hash = (hash << OneEighth) + str.charAt(i);
if((test = hash & HighBits) != 0)
{
hash = (( hash ^ (test >> ThreeQuarters)) & (~HighBits));
}
}
return (hash & 0x7FFFFFFF);
}
/* End Of P. J. Weinberger Hash Function */
/**
* ELF算法
*/
public static int ELFHash(String str)
{
int hash = 0;
int x = 0;
for(int i = 0; i < str.length(); i++)
{
hash = (hash << 4) + str.charAt(i);
if((x = (int)(hash & 0xF0000000L)) != 0)
{
hash ^= (x >> 24);
hash &= ~x;
}
}
return (hash & 0x7FFFFFFF);
}
/* End Of ELF Hash Function */
/**
* BKDR算法
*/
public static int BKDRHash(String str)
{
int seed = 131; // 31 131 1313 13131 131313 etc..
int hash = 0;
for(int i = 0; i < str.length(); i++)
{
hash = (hash * seed) + str.charAt(i);
}
return (hash & 0x7FFFFFFF);
}
/* End Of BKDR Hash Function */
/**
* SDBM算法
*/
public static int SDBMHash(String str)
{
int hash = 0;
for(int i = 0; i < str.length(); i++)
{
hash = str.charAt(i) + (hash << 6) + (hash << 16) - hash;
}
return (hash & 0x7FFFFFFF);
}
/* End Of SDBM Hash Function */
/**
* DJB算法
*/
public static int DJBHash(String str)
{
int hash = 5381;
for(int i = 0; i < str.length(); i++)
{
hash = ((hash << 5) + hash) + str.charAt(i);
}
return (hash & 0x7FFFFFFF);
}
/* End Of DJB Hash Function */
/**
* DEK算法
*/
public static int DEKHash(String str)
{
int hash = str.length();
for(int i = 0; i < str.length(); i++)
{
hash = ((hash << 5) ^ (hash >> 27)) ^ str.charAt(i);
}
return (hash & 0x7FFFFFFF);
}
/* End Of DEK Hash Function */
/**
* AP算法
*/
public static int APHash(String str)
{
int hash = 0;
for(int i = 0; i < str.length(); i++)
{
hash ^= ((i & 1) == 0) ? ( (hash << 7) ^ str.charAt(i) ^ (hash >> 3)) :
(~((hash << 11) ^ str.charAt(i) ^ (hash >> 5)));
}
// return (hash & 0x7FFFFFFF);
return hash;
}
/* End Of AP Hash Function */
/**
* JAVA自己带的算法
*/
public static int java(String str)
{
int h = 0;
int off = 0;
int len = str.length();
for (int i = 0; i < len; i++)
{
h = 31 * h + str.charAt(off++);
}
return h;
}
/**
* 混合hash算法，输出64位的值
*/
public static long mixHash(String str)
{
long hash = str.hashCode();
hash <<= 32;
hash |= FNVHash1(str);
return hash;
}