snowFlake算法

public class SnowFlake {
    //开始时间戳
    private final static long START_STMP = 1480166465631L;
    //机房占用的位数
    private final static long DATACENTER_BIT = 5;
    //机器占用的位数
    private final static long MACHINE_BIT = 5;
    //序列号占用的位数
    private final static long SEQUENCE_BIT = 12;

    //机房部分的最大值
    private final static long MAX_DATACENTER_NUM = ~(-1L << DATACENTER_BIT); //2的5次幂减1 = 31
    //机器部分的最大值
    private final static long MAX_MACHINE_NUM = ~(-1L << MACHINE_BIT);
    //序列号部分的最大值
    private final static long MAX_SEQUENCE_NUM = ~(-1L << SEQUENCE_BIT);

    //机器部分的向左位移
    private final static long MACHINE_LEFT = SEQUENCE_BIT;
    //机房部分的向左位移
    private final static long DATACENTER_LEFT = SEQUENCE_BIT + MACHINE_BIT;
    //时间戳部分的向左位移
    private final static long TIMESTMP_LEFT = DATACENTER_LEFT + DATACENTER_BIT;

    private long dataCenterId; //机房标识
    private long machineId; //机器标识
    private long sequence = 0L;
    private long lastStmp = -1L; //上一次的时间戳

    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;
    }

    public synchronized long nextId() {
        long nowStmp = System.currentTimeMillis();
        if (nowStmp < lastStmp) {
            throw new RuntimeException("Clock moved backwards.  Refusing to generate id");
        }

        if (nowStmp == lastStmp) {
            //if条件里表示当前调用和上一次调用落在了相同毫秒内,只能通过第三部分,序列号自增来判断为唯一,所以+1.
            sequence = (sequence + 1) & MAX_SEQUENCE_NUM; //通过位与运算保证计算的结果范围始终是 0 - MAX_SEQUENCE_NUM
            //同一毫秒的序列数已经达到最大,只能等待下一个毫秒
            if (sequence == 0L) {
                nowStmp = getNextMill();
            }
        } else {
            //不同毫秒内,序列号置为0
            //执行到这个分支的前提是nowStmp > lastStmp,说明本次调用跟上次调用对比,已经不再同一个毫秒内了,这个时候序号可以重新回置0了。
            sequence = 0L;
        }

        lastStmp = nowStmp;
        /**
         * return ((timestamp - 1288834974657) << 22) |
                    datacenterId << 17) |
                   (workerId << 12) |
                   sequence;
         */
        //左移运算是为了将数值移动到对应的段(41、5、5,12那段因为本来就在最右,因此不用左移)。
        //然后对每个左移后的值(la、lb、lc、sequence)做位或运算,是为了把各个短的数据合并起来,合并成一个二进制数。
        //最后转换成10进制,就是最终生成的id
        return (nowStmp - START_STMP) << TIMESTMP_LEFT | dataCenterId << DATACENTER_LEFT | machineId << MACHINE_LEFT | sequence ;
    }

    private long getNextMill() {
        long nextMill = System.currentTimeMillis();
        while (nextMill <= lastStmp) {
            nextMill = System.currentTimeMillis();
        }
        return nextMill;
    }

    public static void main(String[] args) {
        SnowFlake snowFlake = new SnowFlake(17,25);
        for (int i = 0; i < (1<<5); i++) {
            System.out.println(snowFlake.nextId());
        }
    }
}

参考 https://segmentfault.com/a/1190000011282426

posted @ 2018-10-11 14:34 雪浪snowWave 阅读(...) 评论(...) 编辑 收藏