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package cn.vonce.sql.uitls;

import java.lang.management.ManagementFactory;
import java.net.InetAddress;
import java.net.NetworkInterface;
import java.util.Enumeration;
import java.util.concurrent.FutureTask;
import java.util.concurrent.RunnableFuture;
import java.util.concurrent.ThreadLocalRandom;
import java.util.regex.Pattern;

/**
 * 基于Twitter的Snowflake算法实现分布式高效有序ID生产黑科技(sequence)——升级版Snowflake
 *
 * 
* SnowFlake的结构如下(每部分用-分开):
*
* 0 - 0000000000 0000000000 0000000000 0000000000 0 - 00000 - 00000 - 000000000000
*
* 1位标识,由于long基本类型在Java中是带符号的,最高位是符号位,正数是0,负数是1,所以id一般是正数,最高位是0
*
* 41位时间截(毫秒级),注意,41位时间截不是存储当前时间的时间截,而是存储时间截的差值(当前时间截 - 开始时间截) * 得到的值),这里的的开始时间截,一般是我们的id生成器开始使用的时间,由我们程序来指定的(如下START_TIME属性)。41位的时间截,可以使用69年,年T = (1L << 41) / (1000L * 60 * 60 * 24 * 365) = 69
*
* 10位的数据机器位,可以部署在1024个节点,包括5位dataCenterId和5位workerId
*
* 12位序列,毫秒内的计数,12位的计数顺序号支持每个节点每毫秒(同一机器,同一时间截)产生4096个ID序号
*
*
* 加起来刚好64位,为一个Long型。
* SnowFlake的优点是,整体上按照时间自增排序,并且整个分布式系统内不会产生ID碰撞(由数据中心ID和机器ID作区分),并且效率较高,经测试,SnowFlake每秒能够产生26万ID左右。 *

*

* 特性: * 1.支持自定义允许时间回拨的范围

* 2.解决跨毫秒起始值每次为0开始的情况(避免末尾必定为偶数,而不便于取余使用问题)

* 3.解决高并发场景中获取时间戳性能问题

* 4.支撑根据IP末尾数据作为workerId * 5.时间回拨方案思考:1024个节点中分配10个点作为时间回拨序号(连续10次时间回拨的概率较小) *

* 常见问题: * 1.时间回拨问题 * 2.机器id的分配和回收问题 * 3.机器id的上限问题 * * @author lry * @version 3.0 */ public class SnowflakeId18 { // private static final Logger log = LoggerFactory.getLogger(Sequence.class); /** * 时间起始标记点,作为基准,一般取系统的最近时间(一旦确定不能变动) */ private final long twepoch = 1519740777809L; /** * 5位的机房id */ private final long datacenterIdBits = 5L; /** * 5位的机器id */ private final long workerIdBits = 5L; /** * 每毫秒内产生的id数: 2的12次方个 */ private final long sequenceBits = 12L; protected final long maxDatacenterId = -1L ^ (-1L << datacenterIdBits); protected final long maxWorkerId = -1L ^ (-1L << workerIdBits); private final long workerIdShift = sequenceBits; private final long datacenterIdShift = sequenceBits + workerIdBits; /** * 时间戳左移动位 */ private final long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits; private final long sequenceMask = -1L ^ (-1L << sequenceBits); /** * 所属机房id */ private final long datacenterId; /** * 所属机器id */ private final long workerId; /** * 并发控制序列 */ private long sequence = 0L; /** * 上次生产 ID 时间戳 */ private long lastTimestamp = -1L; private static volatile InetAddress LOCAL_ADDRESS = null; private static final Pattern IP_PATTERN = Pattern.compile("\\d{1,3}(\\.\\d{1,3}){3,5}$"); private static volatile SnowflakeId18 snowflakeId18; public static SnowflakeId18 instance() { if (snowflakeId18 == null) { synchronized (SnowflakeId18.class) { if (snowflakeId18 == null) { snowflakeId18 = new SnowflakeId18(); } } } return snowflakeId18; } public SnowflakeId18() { this.datacenterId = getDatacenterId(); this.workerId = getMaxWorkerId(datacenterId); } /** * 有参构造器 * * @param workerId 工作机器 ID * @param datacenterId 序列号 */ public SnowflakeId18(long workerId, long datacenterId) { if (workerId > maxWorkerId || workerId < 0) { throw new IllegalArgumentException(String.format("Worker Id can't be greater than %d or less than 0", maxWorkerId)); } if (datacenterId > maxDatacenterId || datacenterId < 0) { throw new IllegalArgumentException(String.format("Datacenter Id can't be greater than %d or less than 0", maxDatacenterId)); } this.workerId = workerId; this.datacenterId = datacenterId; } /** * 基于网卡MAC地址计算余数作为数据中心 *

* 可自定扩展 */ protected long getDatacenterId() { long id = 0L; try { NetworkInterface network = NetworkInterface.getByInetAddress(getLocalAddress()); if (null == network) { id = 1L; } else { byte[] mac = network.getHardwareAddress(); if (null != mac) { id = ((0x000000FF & (long) mac[mac.length - 2]) | (0x0000FF00 & (((long) mac[mac.length - 1]) << 8))) >> 6; id = id % (maxDatacenterId + 1); } } } catch (Exception e) { e.printStackTrace(); //log.warn(" getDatacenterId: " + e.getMessage()); } return id; } /** * 基于 MAC + PID 的 hashcode 获取16个低位 *

* 可自定扩展 */ protected long getMaxWorkerId(long datacenterId) { StringBuilder mpId = new StringBuilder(); mpId.append(datacenterId); String name = ManagementFactory.getRuntimeMXBean().getName(); if (name != null && name.length() > 0) { // GET jvmPid mpId.append(name.split("@")[0]); } // MAC + PID 的 hashcode 获取16个低位 return (mpId.toString().hashCode() & 0xffff) % (maxWorkerId + 1); } /** * 获取下一个 ID * * @return next id */ public synchronized long nextId() { long timestamp = timeGen(); // 闰秒 if (timestamp < lastTimestamp) { long offset = lastTimestamp - timestamp; if (offset <= 5) { try { // 休眠双倍差值后重新获取,再次校验 wait(offset << 1); timestamp = timeGen(); if (timestamp < lastTimestamp) { throw new RuntimeException(String.format("Clock moved backwards. Refusing to generate id for %d milliseconds", offset)); } } catch (Exception e) { throw new RuntimeException(e); } } else { throw new RuntimeException(String.format("Clock moved backwards. Refusing to generate id for %d milliseconds", offset)); } } if (lastTimestamp == timestamp) { // 相同毫秒内,序列号自增 sequence = (sequence + 1) & sequenceMask; if (sequence == 0) { // 同一毫秒的序列数已经达到最大 timestamp = tilNextMillis(lastTimestamp); } } else { // 不同毫秒内,序列号置为 1 - 3 随机数 sequence = ThreadLocalRandom.current().nextLong(1, 3); } lastTimestamp = timestamp; // 时间戳部分 | 数据中心部分 | 机器标识部分 | 序列号部分 return ((timestamp - twepoch) << timestampLeftShift) | (datacenterId << datacenterIdShift) | (workerId << workerIdShift) | sequence; } protected long tilNextMillis(long lastTimestamp) { long timestamp = timeGen(); while (timestamp <= lastTimestamp) { timestamp = timeGen(); } return timestamp; } protected long timeGen() { return SystemClock.INSTANCE.currentTimeMillis(); } /** * Find first valid IP from local network card * * @return first valid local IP */ public static InetAddress getLocalAddress() { if (LOCAL_ADDRESS != null) { return LOCAL_ADDRESS; } LOCAL_ADDRESS = getLocalAddress0(); return LOCAL_ADDRESS; } private static InetAddress getLocalAddress0() { InetAddress localAddress = null; try { //为照顾安卓版需异步调用 RunnableFuture runnableFuture = new FutureTask<>(() -> InetAddress.getLocalHost()); new Thread(runnableFuture).start(); localAddress = runnableFuture.get(); if (isValidAddress(localAddress)) { return localAddress; } } catch (Throwable e) { e.printStackTrace(); //log.warn("Failed to retrieving ip address, " + e.getMessage(), e); } try { Enumeration interfaces = NetworkInterface.getNetworkInterfaces(); if (interfaces != null) { while (interfaces.hasMoreElements()) { try { NetworkInterface network = interfaces.nextElement(); Enumeration addresses = network.getInetAddresses(); while (addresses.hasMoreElements()) { try { InetAddress address = addresses.nextElement(); if (isValidAddress(address)) { return address; } } catch (Throwable e) { e.printStackTrace(); //log.warn("Failed to retrieving ip address, " + e.getMessage(), e); } } } catch (Throwable e) { e.printStackTrace(); //log.warn("Failed to retrieving ip address, " + e.getMessage(), e); } } } } catch (Throwable e) { e.printStackTrace(); //log.warn("Failed to retrieving ip address, " + e.getMessage(), e); } //log.error("Could not get local host ip address, will use 127.0.0.1 instead."); return localAddress; } private static boolean isValidAddress(InetAddress address) { if (address == null || address.isLoopbackAddress()) { return false; } String name = address.getHostAddress(); return (name != null && !"0.0.0.0".equals(name) && !"127.0.0.1".equals(name) && IP_PATTERN.matcher(name).matches()); } }





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