美文网首页
Twitter的分布式自增ID算法snowflake(雪花算法)

Twitter的分布式自增ID算法snowflake(雪花算法)

作者: 大川的川 | 来源:发表于2019-10-08 14:36 被阅读0次
    你瞅啥?

    Twitter的snowflake解决了能够按照时间生成有序且不重复的全局唯一ID!

    --- C# 版本源码:

    public class IdWorker
        {
            //机器ID
            private static long workerId;
            private static long twepoch = 687888001020L; //唯一时间,这是一个避免重复的随机量,自行设定不要大于当前时间戳
            private static long sequence = 0L;
            private static int workerIdBits = 4; //机器码字节数。4个字节用来保存机器码(定义为Long类型会出现,最大偏移64位,所以左移64位没有意义)
            public static long maxWorkerId = -1L ^ -1L << workerIdBits; //最大机器ID
            private static int sequenceBits = 10; //计数器字节数,10个字节用来保存计数码
            private static int workerIdShift = sequenceBits; //机器码数据左移位数,就是后面计数器占用的位数
            private static int timestampLeftShift = sequenceBits + workerIdBits; //时间戳左移动位数就是机器码和计数器总字节数
            public static long sequenceMask = -1L ^ -1L << sequenceBits; //一微秒内可以产生计数,如果达到该值则等到下一微妙在进行生成
            private long lastTimestamp = -1L;
    
            /// <summary>
            /// 机器码
            /// </summary>
            /// <param name="workerId"></param>
            public IdWorker(long workerId)
            {
                if (workerId > maxWorkerId || workerId < 0)
                    throw new Exception(string.Format("worker Id can't be greater than {0} or less than 0 ", workerId));
                IdWorker.workerId = workerId;
            }
    
            public long nextId()
            {
                lock (this)
                {
                    long timestamp = timeGen();
                    if (this.lastTimestamp == timestamp)
                    { //同一微妙中生成ID
                        IdWorker.sequence = (IdWorker.sequence + 1) & IdWorker.sequenceMask; //用&运算计算该微秒内产生的计数是否已经到达上限
                        if (IdWorker.sequence == 0)
                        {
                            //一微妙内产生的ID计数已达上限,等待下一微妙
                            timestamp = tillNextMillis(this.lastTimestamp);
                        }
                    }
                    else
                    { //不同微秒生成ID
                        IdWorker.sequence = 0; //计数清0
                    }
                    if (timestamp < lastTimestamp)
                    { //如果当前时间戳比上一次生成ID时时间戳还小,抛出异常,因为不能保证现在生成的ID之前没有生成过
                        throw new Exception(string.Format("Clock moved backwards.  Refusing to generate id for {0} milliseconds",
                            this.lastTimestamp - timestamp));
                    }
                    this.lastTimestamp = timestamp; //把当前时间戳保存为最后生成ID的时间戳
                    long nextId = (timestamp - twepoch << timestampLeftShift) | IdWorker.workerId << IdWorker.workerIdShift | IdWorker.sequence;
                    return nextId;
                }
            }
    
            /// <summary>
            /// 获取下一微秒时间戳
            /// </summary>
            /// <param name="lastTimestamp"></param>
            /// <returns></returns>
            private long tillNextMillis(long lastTimestamp)
            {
                long timestamp = timeGen();
                while (timestamp <= lastTimestamp)
                {
                    timestamp = timeGen();
                }
                return timestamp;
            }
    
            /// <summary>
            /// 生成当前时间戳
            /// </summary>
            /// <returns></returns>
            private long timeGen()
            {
                return (long)(DateTime.UtcNow - new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc)).TotalMilliseconds;
            }
        }
    

    C#调用方法:

          IdWorker idworker = new IdWorker(1);
          for (int i = 0; i < 1000; i++)
          {
               Response.Write(idworker.nextId() + "<br/>");
          }
    

    --- java 版本源码:

    public class IdWorker {
        private final long workerId;
        private final static long twepoch = 1288834974657L;
        private long sequence = 0L;
        private final static long workerIdBits = 4L;
        public final static long maxWorkerId = -1L ^ -1L << workerIdBits;
        private final static long sequenceBits = 10L;
        private final static long workerIdShift = sequenceBits;
        private final static long timestampLeftShift = sequenceBits + workerIdBits;
        public final static long sequenceMask = -1L ^ -1L << sequenceBits;
        private long lastTimestamp = -1L;
        public IdWorker(final long workerId) {
            super();
            if (workerId > this.maxWorkerId || workerId < 0) {
                  throw new IllegalArgumentException(String.format(
                                              "worker Id can't be greater than %d or less than 0",
                        this.maxWorkerId));
            }
            this.workerId = workerId;
        }
        public synchronized long nextId() {
            long timestamp = this.timeGen();
            if (this.lastTimestamp == timestamp) {
                this.sequence = (this.sequence + 1) & this.sequenceMask;
                if (this.sequence == 0) {
                    System.out.println("###########" + sequenceMask);
                    timestamp = this.tilNextMillis(this.lastTimestamp);
                 }
                } else {
                    this.sequence = 0;
                }
                if (timestamp < this.lastTimestamp) {
                    try {
                        throw new Exception(
                              String.format(
                                  "Clock moved backwards. Refusing to generate id for %d milliseconds",
                                  this.lastTimestamp - timestamp));
                    } catch (Exception e) {
                        e.printStackTrace();
                    }
                }
     
            this.lastTimestamp = timestamp;
            long nextId = ((timestamp - twepoch << timestampLeftShift))
                  | (this.workerId << this.workerIdShift) | (this.sequence);
            System.out.println("timestamp:" + timestamp + ",timestampLeftShift:"
                                          + timestampLeftShift + ",nextId:" + nextId + ",workerId:"
                                          + workerId + ",sequence:" + sequence);
            return nextId;
        }
     
        private long tilNextMillis(final long lastTimestamp) {
            long timestamp = this.timeGen();
            while (timestamp <= lastTimestamp) {
                timestamp = this.timeGen();
            }
            return timestamp;
        }
     
        private long timeGen() {
            return System.currentTimeMillis();
        }
     
        //调用
        public static void main(String[] args){
            IdWorker worker2 = new IdWorker(2);
            System.out.println(worker2.nextId());
        }
    }
    

    参考1
    参考2

    相关文章

      网友评论

          本文标题:Twitter的分布式自增ID算法snowflake(雪花算法)

          本文链接:https://www.haomeiwen.com/subject/hrybpctx.html