自增的UUID,时间顺序的通用唯一标识符。官方推荐不要使用uuid或者不连续不重复的雪花id(long形且唯一,单机递增),而是推荐连续自增的主键id,此自增的OUID,可以满足你在开发数据库是MySQL时对于主键的需求。
import java.net.InetAddress;
import java.util.Iterator;
import java.util.ServiceLoader;
import java.util.concurrent.atomic.AtomicInteger;
/**
* 时间顺序的通用唯一标识符
*/
public class OUIDGenerator {
public interface Ipv4Provider {
byte[] getIp();
}
/**
* 开头时间戳编码表(为了保持有序性,该表即使替换字符集也需保持Ascii有序性)
*/
final static char[] TIMESTAMP_DIGITS = {
'0' , '1' , '2' , '3' , '4' , '5' ,
'6' , '7' , '8' , '9' , 'a' , 'b' ,
'c' , 'd' , 'e' , 'f' , 'g' , 'h' ,
'j' , 'k' , 'm' , 'n' , 'p' , 'r' ,
's' , 't' , 'u' , 'v' , 'w' , 'x' ,
'y' , 'z'
};
/**
* JVM标识-状态相关字符集
* <p>该表根据需要随意替换相同数量字符集</p>
*/
final static char[] JVM_STAT_DIGITS = {
'a' , 'b' , 'c' , 'd' , 'e' , 'f' ,
'g' , 'h' , 'j' , 'k' , 'm' , 'n' ,
'p' , 'r' , 's' , 't' , 'u' , 'v' ,
'w' , 'x' , 'y' , 'z' , '0' , '1' ,
'2' , '3' , '4' , '5' , '6' , '7' ,
'8' , '9'
};
/**
* JVM标识-IP相关字符集
* <p>如需IP隐秘性,可根据需要随意替换相同数量字符集</p>
*/
final static char[] JVM_IP_DIGITS = {
'a' , 'b' , 'c' , 'd' , 'e' , 'f' ,
'0' , '1' , '2' , '3' , '4' , '5' ,
'6' , '7' , '8' , '9' , 'g' , 'h' ,
'j' , 'k' , 'm' , 'n' , 'p' , 'r' ,
's' , 't' , 'u' , 'v' , 'w' , 'x' ,
'y' , 'z'
};
/**
* IP位替换
* <p>如需IP隐秘性,可根据需要随意替换相同数量字符集</p>
* <p>由于私网IP网段有限,容易通过确定的网段结合统计攻击猜测IP,可设置替换特定IP位增加猜测难度</p>
*/
private final static Byte[] REWRITE_IP_SEGMENT = { (byte) 112, null, null, null};
public static String generate() {
return getTime(TIMESTAMP_DIGITS) +
JVM_ID +
getSerial();
}
private static String getTime(char[] digits) {
long currentTimeMillis = System.currentTimeMillis();
// 10位32进制,足以表示以毫秒计的3万年时间(当前系统时间肯定大于1970年,因此直接省略符号位处理)
return format32(digits, currentTimeMillis, 10);
}
private static String format32(char[] digit, long val, int len) {
char[] chars = new char[len];
for (int i = chars.length - 1; i >= 0; i--) {
// 获取字节的低5位有效值
int j = (int) (val & 0x1f);
chars[i] = digit[j];
val = val >> 5;
}
return new String(chars);
}
public static final String JVM_ID = initJvm();
/**
* spi机制获取IP
*/
private static byte[] getIpBySpi() {
byte[] address = null;
ServiceLoader<Ipv4Provider> providerServiceLoader = ServiceLoader.load(Ipv4Provider.class);
Iterator<Ipv4Provider> iterator = providerServiceLoader.iterator();
if (iterator.hasNext()) {
// SPI 机制获取IP
Ipv4Provider provider = iterator.next();
address = provider.getIp();
if (address != null && address.length != 4) {
new IllegalArgumentException("ipv4 provider not provide ipv4 address").printStackTrace();
return null;
}
}
return address;
}
/**
* 从环境变量获取重写的IP位
*/
private static Byte[] getRewriteIpSegmentsByEnv() {
Byte[] rewriteIpBytes = null;
String ouidRewriteIp = System.getenv("OUID_REWRITE_IP");
if (ouidRewriteIp != null) {
String[] split = ouidRewriteIp.split("\\.");
rewriteIpBytes = new Byte[4];
try {
for (int i = 0; i < 4; i++) {
if ("%".equals(split[i])) {
continue;
}
int num = Integer.parseInt(split[i]);
if (num > 255 || num < 0) {
throw new IllegalArgumentException("invalid rewrite ipv4 address " + ouidRewriteIp);
}
rewriteIpBytes[i] = (byte) (num > 127 ? num - 256 : num);
}
} catch (Exception e) {
e.printStackTrace();
rewriteIpBytes = null;
}
}
return rewriteIpBytes;
}
@SuppressWarnings({"ConstantConditions", "RedundantSuppression"})
private static String initJvm() {
long ipAddr;
try {
// spi机制获取IP
byte[] address = getIpBySpi();
if (address == null) {
address = InetAddress.getLocalHost().getAddress();
}
// 从环境变量获取替换IP
Byte[] rewriteIpSegments = getRewriteIpSegmentsByEnv();
if (rewriteIpSegments == null) {
rewriteIpSegments = REWRITE_IP_SEGMENT;
}
// 替换特定位IP
for (int i = 0; i < address.length; i++) {
if (rewriteIpSegments.length > i && rewriteIpSegments[i] != null) {
address[i] = rewriteIpSegments[i];
}
}
ipAddr = toLong(address);
} catch (Exception e) {
e.printStackTrace();
ipAddr = 0;
}
return format32(JVM_IP_DIGITS, ipAddr, 7) + getTime(JVM_STAT_DIGITS);
}
private static final AtomicInteger SEQ = new AtomicInteger((int) (Math.random() * Integer.MAX_VALUE / 1000));
private static String getSerial() {
long serial = SEQ.incrementAndGet() & 0x1ffffff;
// 单实例每毫秒最大允许产生 33554431 个ID,
// MAC i7 4核下3线程测试每毫秒产生ID数在1.9万左右,故该容量导致ID重复的概率几乎为0
return format32(TIMESTAMP_DIGITS, serial, 5);
}
private static long toLong(byte[] bytes) {
long result = 0;
for (int i = 0; i < 4; i++) {
result = (result << 8) + (0xff & bytes[i]);
}
return result;
}
}