How does the snowflake algorithm generate ids?

/** * @Auther: lyl * @Date: 2019/11/21 17:49 * @Description: */ public class SnowFlake { /** * 起始的时间戳 */ private final static long START_STMP = 1480166465631L; /** * 每一部分占用的位数 */ private final static long SEQUENCE_BIT = 12; //序列号占用的位数 private final static long MACHINE_BIT = 5; //机器标识占用的位数 private final static long DATACENTER_BIT = 5;//数据中心占用的位数 /** * 每一部分的最大值 */ private final static long MAX_DATACENTER_NUM = -1L ^ (-1L << DATACENTER_BIT); private final static long MAX_MACHINE_NUM = -1L ^ (-1L << MACHINE_BIT); private final static long MAX_SEQUENCE = -1L ^ (-1L << SEQUENCE_BIT); /** * 每一部分向左的位移 */ private final static long MACHINE_LEFT = SEQUENCE_BIT; private final static long DATACENTER_LEFT = SEQUENCE_BIT + MACHINE_BIT; private final static long TIMESTMP_LEFT = DATACENTER_LEFT + DATACENTER_BIT; private long datacenterId; //数据中心 private long machineId; //机器标识 private long sequence = 0L; //序列号 private long lastStmp = -1L;//上一次时间戳 public SnowFlake(long datacenterId, long machineId) { if (datacenterId > MAX_DATACENTER_NUM || datacenterId < 0) { throw new IllegalArgumentException("datacenterId can't be greater than MAX_DATACENTER_NUM or less than 0"); } if (machineId > MAX_MACHINE_NUM || machineId < 0) { throw new IllegalArgumentException("machineId can't be greater than MAX_MACHINE_NUM or less than 0"); } this.datacenterId = datacenterId; this.machineId = machineId; } /** * 产生下一个ID * * @return */ public synchronized long nextId() { long currStmp = getNewstmp(); if (currStmp < lastStmp) { throw new RuntimeException("Clock moved backwards. Refusing to generate id"); } if (currStmp == lastStmp) { //相同毫秒内，序列号自增 sequence = (sequence + 1) & MAX_SEQUENCE; //同一毫秒的序列数已经达到最大 if (sequence == 0L) { currStmp = getNextMill(); } } else { //不同毫秒内，序列号置为0 sequence = 0L; } lastStmp = currStmp; return (currStmp - START_STMP) << TIMESTMP_LEFT //时间戳部分 | datacenterId << DATACENTER_LEFT //数据中心部分 | machineId << MACHINE_LEFT //机器标识部分 | sequence; //序列号部分 } private long getNextMill() { long mill = getNewstmp(); while (mill <= lastStmp) { mill = getNewstmp(); } return mill; } private long getNewstmp() { return System.currentTimeMillis(); } public static void main(String[] args) { SnowFlake snowFlake = new SnowFlake(2, 3); for (int i = 0; i < (1 << 12); i++) { System.out.println(snowFlake.nextId()); } } }

import java.util.concurrent.CountDownLatch; /** * @Auther: lyl * @Date: 2019/11/21 18:15 * @Description: */ public class GuuidUtil { private static long machineId = 0; private static long datacenterId = 0; /** * 单例模式创建学法算法对象 * */ private enum SnowFlakeSingleton{ Singleton; private SnowFlake snowFlake; SnowFlakeSingleton(){ snowFlake = new SnowFlake(datacenterId,machineId); } public SnowFlake getInstance(){ return snowFlake; } } public static long getUUID(){ return SnowFlakeSingleton.Singleton.getInstance().nextId(); } public static void main(String[] args) { CountDownLatch latch = new CountDownLatch(10000); long start = System.currentTimeMillis(); for (int i = 0; i < 10000; i++) { new Runnable() { @Override public void run() { System.out.println(GuuidUtil.getUUID()); latch.countDown(); } }.run(); } try { System.out.println("主线程"+Thread.currentThread().getName()+"等待子线程执行完成..."); latch.await();//阻塞当前线程，直到计数器的值为0 System.out.println("主线程"+Thread.currentThread().getName()+"开始执行..."); } catch (InterruptedException e) { e.printStackTrace(); } System.out.print("雪花算法用时： "); System.out.println(System.currentTimeMillis() - start); } }