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.Net中的并行编程-7.基于BlockingCollection实现高性能异步队列

  三年前写过基于ConcurrentQueue的异步队列,今天在整理代码的时候发现当时另外一种实现方式-使用BlockingCollection实现,这种方式目前依然在实际项目中使用。关于BlockingCollection的基本使用请查阅MSDN。源码实现

下面直接上代码:(代码已经放到了我的github上)

using System;
using System.Collections.Concurrent;
using System.Collections.Generic;
using System.Threading;
using Danny.Infrastructure.Helper;

namespace Danny.Infrastructure.Collections
{
    /// <summary>
    /// 一个基于BlockingCollection实现的多线程的处理队列
    /// </summary>
    public class ProcessQueue<T>
    {
        private  BlockingCollection<T> _queue;
        private CancellationTokenSource _cancellationTokenSource;
        private CancellationToken _cancellToken;
        //内部线程池
        private List<Thread> _threadCollection;

        //队列是否正在处理数据
        private int _isProcessing;
        //有线程正在处理数据
        private const int Processing = 1;
        //没有线程处理数据
        private const int UnProcessing = 0;
        //队列是否可用
        private volatile bool _enabled = true;
        //内部处理线程数量
        private int _internalThreadCount;
     
        public event Action<T> ProcessItemEvent;
        //处理异常,需要三个参数,当前队列实例,异常,当时处理的数据
        public event Action<dynamic,Exception,T> ProcessExceptionEvent;

        public ProcessQueue()
        {
            _queue=new BlockingCollection<T>();
            _cancellationTokenSource = new CancellationTokenSource();
            _internalThreadCount = 1;
            _cancellToken = _cancellationTokenSource.Token;
            _threadCollection = new List<Thread>();
        }

        public ProcessQueue(int internalThreadCount):this()
        {
            this._internalThreadCount = internalThreadCount;
        }

        /// <summary>
        /// 队列内部元素的数量 
        /// </summary>
        public int GetInternalItemCount()
        {
            return _queue.Count;
        }

        public void Enqueue(T items)
        {
            if (items == null)
            {
                throw new ArgumentException("items");
            }

            _queue.Add(items);
            DataAdded();
        }

        public void Flush()
        {
            StopProcess();

            while (_queue.Count != 0)
            {
                T item=default(T);
                if (_queue.TryTake(out item))
                {
                    try
                    {
                        ProcessItemEvent(item);
                    }
                    catch (Exception ex)
                    {
                        OnProcessException(ex,item);
                    }
                }
            }
        }

        private void DataAdded()
        {
            if (_enabled)
            {
                if (!IsProcessingItem())
                {
                    ProcessRangeItem();
                    StartProcess();
                }
            }
        }

        //判断是否队列有线程正在处理 
        private bool IsProcessingItem()
        {
            return !(Interlocked.CompareExchange(ref _isProcessing, Processing, UnProcessing) == UnProcessing);
        }

        private void ProcessRangeItem()
        {
            for (int i = 0; i < this._internalThreadCount; i++)
            {
                ProcessItem();
            }
        }

        private void ProcessItem()
        {
            Thread currentThread = new Thread((state) =>
            {
                T item=default(T);
                while (_enabled)
                {
                    try
                    {
                        try
                        {
                            item = _queue.Take(_cancellToken);
                            ProcessItemEvent(item);
                        }
                        catch (OperationCanceledException ex)
                        {
                            DebugHelper.DebugView(ex.ToString());
                        }

                    }
                    catch (Exception ex)
                    {
                        OnProcessException(ex,item);
                    }
                }

            });

            _threadCollection.Add(currentThread);
        }

        private void StartProcess()
        {
            foreach (var thread in _threadCollection)
            {
                thread.Start();
            }
        }

        private void StopProcess()
        {
            this._enabled = false;
            foreach (var thread in _threadCollection)
            {
                if (thread.IsAlive)
                {
                    thread.Join();
                }
            }
            _threadCollection.Clear();
        }

        private void OnProcessException(Exception ex,T item)
        {
            var tempException = ProcessExceptionEvent;
            Interlocked.CompareExchange(ref ProcessExceptionEvent, null, null);

            if (tempException != null)
            {
                ProcessExceptionEvent(this,ex,item);
            }
        }

    }
}

使用方法:

class Program
    {
        static void Main(string[] args)
        {
            ProcessQueue<int> processQueue = new ProcessQueue<int>();
            processQueue.ProcessExceptionEvent += ProcessQueue_ProcessExceptionEvent;
            processQueue.ProcessItemEvent += ProcessQueue_ProcessItemEvent;

            processQueue.Enqueue(1);
            processQueue.Enqueue(2);
            processQueue.Enqueue(3);

        }

        /// <summary>
        /// 该方法对入队的每个元素进行处理
        /// </summary>
        /// <param name="value"></param>
        private static void ProcessQueue_ProcessItemEvent(int value)
        {
            Console.WriteLine(value);
        }

        /// <summary>
        ///  处理异常
        /// </summary>
        /// <param name="obj">队列实例</param>
        /// <param name="ex">异常对象</param>
        /// <param name="value">出错的数据</param>
        private static void ProcessQueue_ProcessExceptionEvent(dynamic obj, Exception ex, int value)
        {
            Console.WriteLine(ex.ToString());
        }
    }

 

.Net中的并行编程-7.基于BlockingCollection实现高性能异步队列