动态生产有规律的ID

csharp

浏览数:217

2019-1-7


动态生产有规律的ID

/// <summary>  
    /// 动态生产有规律的ID  
    /// </summary>  
    public class IdWorker
    {

        private static long machineId;//机器ID  
        private static long datacenterId = 0L;//数据ID  
        private static long sequence = 0L;//计数从零开始  

        private static long twepoch = 687888001020L; //唯一时间随机量  

        private static long machineIdBits = 5L; //机器码字节数  
        private static long datacenterIdBits = 5L;//数据字节数  
        /// <summary>
        /// //最大机器ID 
        /// </summary>
        public static long maxMachineId = -1L ^ -1L << (int)machineIdBits; //最大机器ID  
        private static long maxDatacenterId = -1L ^ (-1L << (int)datacenterIdBits);//最大数据ID  

        private static long sequenceBits = 12L; //计数器字节数,12个字节用来保存计数码          
        private static long machineIdShift = sequenceBits; //机器码数据左移位数,就是后面计数器占用的位数  
        private static long datacenterIdShift = sequenceBits + machineIdBits;
        private static long timestampLeftShift = sequenceBits + machineIdBits + datacenterIdBits; //时间戳左移动位数就是机器码+计数器总字节数+数据字节数  
        /// <summary>
        /// //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  
        /// </summary>
        public static long sequenceMask = -1L ^ -1L << (int)sequenceBits; 
        private static long lastTimestamp = -1L;//最后时间戳  

        private static object syncRoot = new object();//加锁对象  
        static IdWorker snowflake;

        /// <summary>
        /// 
        /// </summary>
        /// <returns></returns>
        public static IdWorker Instance()
        {
            if (snowflake == null)
                snowflake = new IdWorker();
            return snowflake;
        }
        /// <summary>
        /// 
        /// </summary>
        public IdWorker()
        {
            Snowflakes(0L, -1);
        }
        /// <summary>
        /// 
        /// </summary>
        /// <param name="machineId"></param>
        public IdWorker(long machineId)
        {
            Snowflakes(machineId, -1);
        }
        /// <summary>
        /// 
        /// </summary>
        /// <param name="machineId"></param>
        /// <param name="datacenterId"></param>
        public IdWorker(long machineId, long datacenterId)
        {
            Snowflakes(machineId, datacenterId);
        }

        private void Snowflakes(long machineId, long datacenterId)
        {
            if (machineId >= 0)
            {
                if (machineId > maxMachineId)
                {
                    throw new Exception("机器码ID非法");
                }
                IdWorker.machineId = machineId;
            }
            if (datacenterId >= 0)
            {
                if (datacenterId > maxDatacenterId)
                {
                    throw new Exception("数据中心ID非法");
                }
                IdWorker.datacenterId = datacenterId;
            }
        }

        /// <summary>  
        /// 生成当前时间戳  
        /// </summary>  
        /// <returns>毫秒</returns>  
        private static long GetTimestamp()
        {
            return (long)(DateTime.UtcNow - new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc)).TotalMilliseconds;
        }

        /// <summary>  
        /// 获取下一微秒时间戳  
        /// </summary>  
        /// <param name="lastTimestamp"></param>  
        /// <returns></returns>  
        private static long GetNextTimestamp(long lastTimestamp)
        {
            long timestamp = GetTimestamp();
            if (timestamp <= lastTimestamp)
            {
                timestamp = GetTimestamp();
            }
            return timestamp;
        }

        /// <summary>  
        /// 获取长整形的ID  
        /// </summary>  
        /// <returns></returns>  
        public long GetId()
        {
            lock (syncRoot)
            {
                long timestamp = GetTimestamp();
                if (IdWorker.lastTimestamp == timestamp)
                {
                    //同一微妙中生成ID  
                    sequence = (sequence + 1) & sequenceMask; //用&运算计算该微秒内产生的计数是否已经到达上限  
                    if (sequence == 0)
                    {
                        //一微妙内产生的ID计数已达上限,等待下一微妙  
                        timestamp = GetNextTimestamp(IdWorker.lastTimestamp);
                    }
                }
                else
                {
                    //不同微秒生成ID  
                    sequence = 0L;
                }
                if (timestamp < lastTimestamp)
                {
                    throw new Exception("时间戳比上一次生成ID时时间戳还小,故异常");
                }
                IdWorker.lastTimestamp = timestamp; //把当前时间戳保存为最后生成ID的时间戳  
                long Id = ((timestamp - twepoch) << (int)timestampLeftShift)
                    | (datacenterId << (int)datacenterIdShift)
                    | (machineId << (int)machineIdShift)
                    | sequence;
                return Id;
            }
        }

    }