背景:数据库的前期设计,主键用的是uuid,但这个是大数据量的应用。通过n久的折腾,数据大于1亿条了。返回去看表,发现,表的不少字段是varchar2的,可是长度不超过20字符。占据大部分空间的竟然是uuid。因而萌生改造uuid的想法。java
过程:通过一番搜索,通常就是缩短至22位的uuid了。算法
这位仁兄是由短域名想到uuid用64进制改造http://www.iteye.com/topic/1028058,其方法是把uuid生成的字符串去掉“-”,在补一个“0”,获得33位的16进制数,再用22个64进制数表示。数据库
而这位仁兄呢,想到的是用base64的方法缩短uuid,http://cengjingdemimang.iteye.com/blog/1022149。看了代码,主要是利用uuid生成的mostSigBits、leastSigBits来作位移,再经过base64的算法将16字节的2个long类型转换成字符。通过本人一番搜索,在网上找到这位做者可能直接使用的base64的代码http://blog.csdn.net/lastsweetop/article/details/5314640(^_^就是不用作什么封装直接用的代码)。数组
接着呢,就是把这两位仁兄的22位uuid生成速度作一番比较。显然,第二位的速度快一些,由于少了字符串操做。因而采用第二位仁兄的方法。可是呢,看着看着我就糊涂了。由于这里有段奇怪的代码。dom
for (int i = 8; i < 16; i++) { buffer[i] = (byte) (lsb >>> 8 * (7 - i)); }
右移负数。通过我一番尝试,得出一个比较随意的结论:右移负数能够获得数字。测试
int a = 3*2^28; System.out.println(a>>>28);//输出3 System.out.println(a>>>-4);//输出3 //28-(-4)=32 int b = 3*2^4; System.out.println(b>>>4);//输出3 System.out.println(b>>>-28);//输出3 //这个是变相的左移?
以后,我研究了第二位仁兄的方法,结合base64,大概是这样的,把mostSigBits、leastSigBits转成16字节的字节数组,而后采用3个字节分为4个字节,再对应64进制的字符。采用本身的写法,获得如下代码。大数据
//import java.util.Date; import java.util.UUID; public class UUID22 { /** * 采用URL Base64字符,即把“+/”换成“-_” */ static private char[] alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_=".toCharArray(); /** * Base64 编码 * @param data * @return */ private char[] encode(byte[] data) { char[] out = new char[((data.length + 2) / 3) * 4]; boolean quad, trip; for (int i = 0, index = 0; i < data.length; i += 3, index += 4) { quad = trip = false; int val = (0xFF & (int) data[i]); val <<= 8; if ((i + 1) < data.length) { val |= (0xFF & (int) data[i + 1]); trip = true; } val <<= 8; if ((i + 2) < data.length) { val |= (0xFF & (int) data[i + 2]); quad = true; } out[index + 3] = alphabet[(quad ? (val & 0x3F) : 64)]; val >>= 6; out[index + 2] = alphabet[(trip ? (val & 0x3F) : 64)]; val >>= 6; out[index + 1] = alphabet[val & 0x3F]; val >>= 6; out[index + 0] = alphabet[val & 0x3F]; } return out; } /** * 转成字节 * @return */ // private byte[] toBytes(String u) { // UUID uuid = UUID.fromString(u); private byte[] toBytes() { UUID uuid = UUID.randomUUID(); long msb = uuid.getMostSignificantBits(); long lsb = uuid.getLeastSignificantBits(); byte[] buffer = new byte[16]; for (int i = 0; i < 8; i++) { buffer[i] = (byte) ((msb >>> 8 * (7 - i)) & 0xFF); buffer[i + 8] = (byte) ((lsb >>> 8 * (7 - i)) & 0xFF); } return buffer; } // public String getUUID(String u) { // char[] res = encode(toBytes(u)); public String getUUID() { char[] res = encode(toBytes()); System.out.println(new String(res)); return new String(res, 0, res.length - 2); } public static void main(String[] args) { System.out.println(getUUID22()); // System.out.println(getUUID("c19b9de1-f33a-494b-afbe-f06817218d64")); // System.out.println(getUUID22("c19b9de1-f33a-494b-afbe-f06817218d64")); // Date d1 = new Date(); // for(int i = 0; i < 1000000; i++) { // UUID.randomUUID().toString(); // getUUID22(); // } // Date d2 = new Date(); // System.out.print(d2.getTime() - d1.getTime()); } /** * 将随机UUID转换成22位字符串 * @return */ // public static String getUUID22(String u) { // UUID uuid = UUID.fromString(u); public static String getUUID22() { UUID uuid = UUID.randomUUID(); // System.out.println(uuid.toString()); long msb = uuid.getMostSignificantBits(); long lsb = uuid.getLeastSignificantBits(); char[] out = new char[24]; int tmp = 0, idx = 0; // 基础写法 /*tmp = (int) ((msb >>> 40) & 0xffffff); out[idx + 3] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 2] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 1] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx] = alphabet[tmp & 0x3f]; idx += 4; tmp = (int) ((msb >>> 16) & 0xffffff); out[idx + 3] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 2] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 1] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx] = alphabet[tmp & 0x3f]; idx += 4; tmp = (int) (((msb & 0xffff) << 8) | (lsb >>> 56 & 0xff)); out[idx + 3] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 2] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 1] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx] = alphabet[tmp & 0x3f]; idx += 4; tmp = (int) ((lsb >>> 32) & 0xffffff); out[idx + 3] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 2] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 1] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx] = alphabet[tmp & 0x3f]; idx += 4; tmp = (int) ((lsb >>> 8) & 0xffffff); out[idx + 3] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 2] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 1] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx] = alphabet[tmp & 0x3f]; idx += 4; tmp = (int) (lsb & 0xff); out[idx + 3] = alphabet[64]; out[idx + 2] = alphabet[64]; tmp <<= 4; out[idx + 1] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx] = alphabet[tmp & 0x3f]; idx += 4;*/ // 循环写法 int bit = 0, bt1 = 8, bt2 = 8; int mask = 0x00, offsetm = 0, offsetl = 0; for(; bit < 16; bit += 3, idx += 4) { offsetm = 64 - (bit + 3) * 8; offsetl = 0; tmp = 0; if(bt1 > 3) { mask = (1 << 8 * 3) - 1; } else if(bt1 >= 0) { mask = (1 << 8 * bt1) - 1; bt2 -= 3 - bt1; } else { mask = (1 << 8 * ((bt2 > 3) ? 3 : bt2)) - 1; bt2 -= 3; } if(bt1 > 0) { bt1 -= 3; tmp = (int) ((offsetm < 0) ? msb : (msb >>> offsetm) & mask); if(bt1 < 0) { tmp <<= Math.abs(offsetm); mask = (1 << 8 * Math.abs(bt1)) - 1; } } if(offsetm < 0) { offsetl = 64 + offsetm; tmp |= ((offsetl < 0) ? lsb : (lsb >>> offsetl)) & mask; } if(bit == 15) { out[idx + 3] = alphabet[64]; out[idx + 2] = alphabet[64]; tmp <<= 4; } else { out[idx + 3] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx + 2] = alphabet[tmp & 0x3f]; tmp >>= 6; } out[idx + 1] = alphabet[tmp & 0x3f]; tmp >>= 6; out[idx] = alphabet[tmp & 0x3f]; } return new String(out, 0, 22); } }
其中,//注释的代码是测试代码和部分注释。/**/注释的是最简单的写法,等价于下面的for循环写法。只是本身看着不“优雅”改了。
ui
通过测试,改造完的getUUID22方法生成字符串的速度,比原生的UUID.randomUUID().toString()方法快,在100W次的测试中,输出是时间大概是原生1850+ms:改造1040+ms的速度。编码
究其缘由,应该是toString()方法拼接字符串"-"致使速度慢了。拼接字符串用+通常比较没效率。.net
结果:本身改造代码的过程比较纠结,写for循环老是卡死在某一步骤,最后把本身“变傻”,模仿计算机思惟一步一步来就写出来了。就是不知道有没有更好的写法 。若有更好的写法请指教。