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  • Java 实现的SnowFlake生成UUID (Java代码实战-007)

     SnowFlake所生成的ID一共分成四部分:

    1.第一位
    占用1bit,其值始终是0,没有实际作用。

    2.时间戳
    占用41bit,精确到毫秒,总共可以容纳约69 年的时间。

    3.工作机器id
    占用10bit,其中高位5bit是数据中心ID(datacenterId),低位5bit是工作节点ID(workerId),做多可以容纳1024个节点。

    4.序列号
    占用12bit,这个值在同一毫秒同一节点上从0开始不断累加,最多可以累加到4095。

    SnowFlake算法在同一毫秒内最多可以生成多少个全局唯一ID呢?只需要做一个简单的乘法:

    同一毫秒的ID数量 = 1024 X 4096 = 4194304

    这个数字在绝大多数并发场景下都是够用的。

    import java.util.concurrent.ExecutorService;
    import java.util.concurrent.Executors;
    
    /**
     * Created by xfyou 2018/6/8 14:01.
     */
    public class SnowFlakeIdGenerator {
        // The initial time(2017-01-01)
        private static final long INITIAL_TIME_STAMP = 1483200000000L;
    
        // Machine ID bits
        private static final long WORK_ID_BITS = 5L;
    
        // DataCenter ID bits
        private static final long DATACENTER_ID_BITS = 5L;
    
        // The maximum machine ID supported is 31, which can quickly calculate the maximum decimal number that a few binary numbers can represent.
        private static final long MAX_WORKER_ID = ~(-1L << WORK_ID_BITS);
    
        // The maximum datacenter ID supported is 31
        private static final long MAX_DATACENTER_ID = ~(-1L << DATACENTER_ID_BITS);
    
        // Sequence ID bits
        private static final long SEQUENCE_BITS = 12L;
    
        // The machine ID offset,12
        private static final long WORKERID_OFFSET = SEQUENCE_BITS;
    
        // The datacent ID offset,12+5
        private static final long DATACENTERID_OFFSET = WORK_ID_BITS + SEQUENCE_BITS;
    
        // The timestape offset, 5+5+12
        private static final long TIMESTAMP_OFFSET = DATACENTER_ID_BITS + WORK_ID_BITS + SEQUENCE_BITS;
    
        // Sequence mask,4095
        private static final long SEQUENCE_MASK = ~(-1L << SEQUENCE_BITS);
    
        // Worker ID ,0~31
        private long workerId;
    
        // Datacenter ID,0~31
        private long datacenterId;
    
        // Sequence,0~4095
        private long sequence = 0L;
    
        // Last timestamp
        private long lastTimestamp = -1L;
    
        public SnowFlakeIdGenerator(long workerId, long datacenterId) {
            if (workerId > MAX_WORKER_ID || workerId < 0)
                throw new IllegalArgumentException(String.format("WorkerID can't be greater than %d or less than 0", MAX_WORKER_ID));
            if (datacenterId > MAX_DATACENTER_ID || datacenterId < 0)
                throw new IllegalArgumentException(String.format("DataCenterID can't be greater than %d or less than 0", MAX_WORKER_ID));
            this.workerId = workerId;
            this.datacenterId = datacenterId;
        }
    
        public synchronized long nextId() {
            long timeStamp = System.currentTimeMillis();
            if (timeStamp < lastTimestamp)
                throw new RuntimeException("The current time less than last time");
            if (timeStamp == lastTimestamp) {
                sequence = (sequence + 1) & SEQUENCE_MASK;
                if (0 == sequence)
                    timeStamp = tillNextMillis(lastTimestamp);
            } else {
                sequence = 0L;
            }
            lastTimestamp = timeStamp;
    
            return (timeStamp - INITIAL_TIME_STAMP) << TIMESTAMP_OFFSET | (datacenterId << DATACENTERID_OFFSET) | (workerId << WORKERID_OFFSET) | sequence;
        }
    
        private long tillNextMillis(long lastTimestamp) {
            long timestamp = System.currentTimeMillis();
            while (timestamp <= lastTimestamp)
                timestamp = System.currentTimeMillis();
            return timestamp;
        }
    
        public static void main(String[] args) {
            SnowFlakeIdGenerator generator = new SnowFlakeIdGenerator(1, 1);
            ExecutorService executorService = Executors.newCachedThreadPool();
            for (int i = 0; i < 5; i++) {
                executorService.execute(new Runnable() {
                    @Override
                    public void run() {
                        long id = generator.nextId();
                        System.out.println(id);
                    }
                });
            }
            executorService.shutdown();
        }
    }

     一个可能的输出为:

    189783462515970048
    189783462515970049
    189783462515970050
    189783462515970051
    189783462520164352
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  • 原文地址:https://www.cnblogs.com/frankyou/p/9156517.html
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