【NET】雪花算法

一、.NET 版本

using System;

namespace Snowflake
{
    class Program
    {
        private static readonly IdWorker Worker = new IdWorker(1, 1); // 大并发的情况下，减少new的次数可以有效避免重复的可能

        static void Main(string[] args)
        {
            // var worker = new IdWorker(1, 1);
            long id = Worker.NextId();
            Console.WriteLine($"生成的ID为：{id}，他的长度是：{id.ToString().Length}");
            Console.ReadKey();
        }
    }

    public class IdWorker
    {
        //基准时间
        public const long Twepoch = 1288834974657L;
        //机器标识位数
        const int WorkerIdBits = 5;
        //数据标志位数
        const int DatacenterIdBits = 5;
        //序列号识位数
        const int SequenceBits = 12;
        //机器ID最大值
        const long MaxWorkerId = -1L ^ (-1L << WorkerIdBits);
        //数据标志ID最大值
        const long MaxDatacenterId = -1L ^ (-1L << DatacenterIdBits);
        //序列号ID最大值
        private const long SequenceMask = -1L ^ (-1L << SequenceBits);
        //机器ID偏左移12位
        private const int WorkerIdShift = SequenceBits;
        //数据ID偏左移17位
        private const int DatacenterIdShift = SequenceBits + WorkerIdBits;
        //时间毫秒左移22位
        public const int TimestampLeftShift = SequenceBits + WorkerIdBits + DatacenterIdBits;

        private long _sequence = 0L;
        private long _lastTimestamp = -1L;

        public long WorkerId { get; protected set; }
        public long DatacenterId { get; protected set; }
        public long Sequence
        {
            get { return _sequence; }
            internal set { _sequence = value; }
        }

        public IdWorker(long workerId, long datacenterId, long sequence = 0L)
        {
            // 如果超出范围就抛出异常 MaxWorkerId = -1L^(-1L << 5) = 31 datacenterId = 31
            if (workerId > MaxWorkerId || workerId < 0)
            {
                throw new ArgumentException(string.Format("worker Id 必须大于0，且不能大于MaxWorkerId： {0}", MaxWorkerId));
            }
　　　　　　　　
            if (datacenterId > MaxDatacenterId || datacenterId < 0)
            {
                throw new ArgumentException(string.Format("region Id 必须大于0，且不能大于MaxWorkerId： {0}", MaxDatacenterId));
            }

            //先检验再赋值
            WorkerId = workerId;
            DatacenterId = datacenterId;
            _sequence = sequence;
        }

        readonly object _lock = new Object();
        public virtual long NextId()
        {
            lock (_lock)
            {
                var timestamp = TimeGen();
                if (timestamp < _lastTimestamp)
                {
                    throw new Exception(string.Format("时间戳必须大于上一次生成ID的时间戳.  拒绝为{0}毫秒生成id", _lastTimestamp - timestamp));
                }

                // 如果上次生成时间和当前时间相同,在同一毫秒内
                if (_lastTimestamp == timestamp)
                {
                    // sequence自增，和sequenceMask相与一下，去掉高位
                    _sequence = (_sequence + 1) & SequenceMask;
                    // 判断是否溢出,也就是每毫秒内超过1024，当为1024时，与sequenceMask相与，sequence就等于0
                    if (_sequence == 0)
                    {
                        // 等待到下一毫秒
                        timestamp = TilNextMillis(_lastTimestamp);
                    }
                }
                else
                {
                    // 如果和上次生成时间不同,重置sequence，就是下一毫秒开始，sequence计数重新从0开始累加,
                    // 为了保证尾数随机性更大一些,最后一位可以设置一个随机数
                    _sequence = 0;//new Random().Next(10);
                }

                _lastTimestamp = timestamp;
                return ((timestamp - Twepoch) << TimestampLeftShift) | (DatacenterId << DatacenterIdShift) | (WorkerId << WorkerIdShift) | _sequence;
            }
        }

        // 防止产生的时间比之前的时间还要小（由于NTP回拨等问题）,保持增量的趋势.
        protected virtual long TilNextMillis(long lastTimestamp)
        {
            var timestamp = TimeGen();
            while (timestamp <= lastTimestamp)
            {
                timestamp = TimeGen();
            }
            return timestamp;
        }

        // 获取当前的时间戳
        protected virtual long TimeGen()
        {
            return TimeExtensions.CurrentTimeMillis();
        }
    }

    public static class TimeExtensions
    {
        public static Func<long> currentTimeFunc = InternalCurrentTimeMillis;

        public static long CurrentTimeMillis()
        {
            return currentTimeFunc();
        }

        public static IDisposable StubCurrentTime(Func<long> func)
        {
            currentTimeFunc = func;
            return new DisposableAction(() =>
            {
                currentTimeFunc = InternalCurrentTimeMillis;
            });
        }

        public static IDisposable StubCurrentTime(long millis)
        {
            currentTimeFunc = () => millis;
            return new DisposableAction(() =>
            {
                currentTimeFunc = InternalCurrentTimeMillis;
            });
        }

        private static readonly DateTime Jan1st1970 = new DateTime
            (1970, 1, 1, 0, 0, 0, DateTimeKind.Utc);

        private static long InternalCurrentTimeMillis()
        {
            return (long)(DateTime.UtcNow - Jan1st1970).TotalMilliseconds;
        }
    }

    public class DisposableAction : IDisposable
    {
        readonly Action _action;

        public DisposableAction(Action action)
        {
            if (action == null)
                throw new ArgumentNullException("action");
            _action = action;
        }

        public void Dispose()
        {
            _action();
        }
    }
}

 

 

二、测试代码

using Snowflake;
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Threading;
using System.Threading.Tasks;

namespace ConsoleApp2
{
    public class SnowflakeTest
    {
        private static int N = 10000000;
        private static readonly HashSet<long> Set = new HashSet<long>();
        private static readonly IdWorker Worker = new IdWorker(1, 1);
        private static int _taskCount = 0;

        public void GenId()
        {
            var sw = new Stopwatch();

            sw.Start();

            GetID();
            //Task.Run(() => GetID());
            //Task.Run(() => GetID());
            //Task.Run(() => GetID());
            //Task.Run(() => Printf());
            sw.Stop();
            Console.WriteLine($"生成{N}个ID，耗时：{sw.ElapsedMilliseconds}毫秒");

            Console.ReadKey();
        }

        private static void Printf()
        {
            while (_taskCount != 3)
            {
                Console.WriteLine("...");
                Thread.Sleep(1000);
            }
            Console.WriteLine(Set.Count == N * _taskCount);
        }

        private static object o = new object();
        private static void GetID()
        {
            for (var i = 0; i < N; i++)
            {
                var id = Worker.NextId();

                lock (o)
                {
                    if (Set.Contains(id))
                    {
                        Console.WriteLine("发现重复项 : {0}", id);
                    }
                    else
                    {
                        Set.Add(id);
                    }
                }

            }
            Console.WriteLine($"任务{++_taskCount}完成");
        }
    }
}

 

单线程生成1000w个id需要4秒，每秒可生成200w

 

 

 

 

源码：https://github.com/dunitian/snowflake-net

博客：https://www.cnblogs.com/dunitian/p/6130543.html