基於Java實現的適用於分散式ID的雪花演算法工具類，這裡存一下日後好找

/**
 * 雪花演算法生成ID
 */
public class SnowFlakeUtil {

    private final static long START_STMP = 1543903501000L;

    private final static long SEQUENCE_BIT = 12; //序列號佔用的位數
    private final static long MACHINE_BIT = 5;  //機器標識佔用的位數
    private final static long DATACENTER_BIT = 5;//資料中心佔用的位數

    private final static long MAX_SEQUENCE = -1L ^ (-1L << SEQUENCE_BIT);
    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 static long datacenterId;  //資料中心
    private static long machineId;    //機器標識
    private static long sequence = 0L; //序列號
    private static long lastStmp = -1L;//上一次時間戳

    private SnowFlakeUtil() {}

    // 呼叫這個靜態函式即可
    public static synchronized String nextId() {
        long currStmp = getNewstmp();
        if (currStmp < lastStmp)
            throw new RuntimeException("Clock moved backwards.  Refusing to generate id");
        if (currStmp == lastStmp) {
            sequence = (sequence + 1) & MAX_SEQUENCE;
            if (sequence == 0L) {
                currStmp = getNextMill();
            }
        } else sequence = 0L;
        lastStmp = currStmp;
        return ((currStmp - START_STMP) << TIMESTMP_LEFT
                | datacenterId << DATACENTER_LEFT
                | machineId << MACHINE_LEFT
                | sequence) + "";
    }

    private static long getNextMill() {
        long mill = getNewstmp();
        while (mill <= lastStmp) {
            mill = getNewstmp();
        }
        return mill;
    }

    private static long getNewstmp() {
        return System.currentTimeMillis();
    }

}