【C#】58. .Net中的并发集合——BlockingCollection

https://blog.csdn.net/huiwuhuiwu/article/details/53608269

这篇是并发集合中的最后一篇，介绍一下BlockingCollection。在工作中我还没有使用过，但是看上去应该是为了便捷使用并发集合而创建的类型。默认情况下，BlockingCollection使用的是ConcurrentQueue容器，当然我们也可以使用其他实现了IProducerConsumerCollection的类型来操作。
 
static Task GetRandomDelay()
{
int delay = new Random(DateTime.Now.Millisecond).Next(1, 500);
return Task.Delay(delay);
}
 
class CustomTask
{
public int Id { get; set; }
}
 
static async Task RunProgram(IProducerConsumerCollection<CustomTask> collection = null)
{
var taskCollection = new BlockingCollection<CustomTask>();
if(collection != null)
taskCollection= new BlockingCollection<CustomTask>(collection);
 
var taskSource = Task.Run(() => TaskProducer(taskCollection));
 
Task[] processors = new Task[4];
for (int i = 1; i <= 4; i++)
{
string processorId = "Processor " + i;
processors[i - 1] = Task.Run(() => TaskProcessor(taskCollection, processorId));
}
 
await taskSource;
 
await Task.WhenAll(processors);
}
 
static async Task TaskProducer(BlockingCollection<CustomTask> collection)
{
for (int i = 1; i <= 20; i++)
{
await Task.Delay(20);
var workItem = new CustomTask { Id = i };
collection.Add(workItem);
Console.WriteLine("Task {0} has been posted", workItem.Id);
}
collection.CompleteAdding(); //完成工作
}
 
static async Task TaskProcessor(BlockingCollection<CustomTask> collection, string name)
{
await GetRandomDelay();
foreach (CustomTask item in collection.GetConsumingEnumerable())
{
Console.WriteLine("Task {0} has been processed by {1}", item.Id, name);
await GetRandomDelay();
}
}
 
首先调用默认的BlockingCollection：
 
然后我们传入一个ConcurrentStack实例
 
Console.WriteLine("Using a Stack inside of BlockingCollection");
Console.WriteLine();
Task t = RunProgram(new ConcurrentStack<CustomTask>());
t.Wait();

C# 并行编程 之 并发集合 (.Net Framework 4.0)
2015年05月08日 10:15:29 zy__ 阅读数 24909更多
分类专栏： C#
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
本文链接：https://blog.csdn.net/wangzhiyu1980/article/details/45497907
此文为个人学习《C#并行编程高级教程》的笔记，总结并调试了一些文章中的代码示例。 在以后开发过程中可以加以运用。
 
对于并行任务，与其相关紧密的就是对一些共享资源，数据结构的并行访问。经常要做的就是对一些队列进行加锁-解锁，然后执行类似插入，删除等等互斥操作。 .NetFramework 4.0 中提供了一些封装好的支持并行操作数据容器，可以减少并行编程的复杂程度。
 
基本信息
.NetFramework中并行集合的名字空间： System.Collections.Concurrent
 
并行容器：
 
ConcurrentQueue
ConcurrentStack
ConcurrentBag ： 一个无序的数据结构集，当不需要考虑顺序时非常有用。
BlockingCollection ： 与经典的阻塞队列数据结构类似
ConcurrentDictionary
 
这些集合在某种程度上使用了无锁技术(CAS Compare-and-Swap和内存屏障 Memory Barrier)，与加互斥锁相比获得了性能的提升。但在串行程序中，最好不用这些集合，它们必然会影响性能。
 
关于CAS:
http://www.tuicool.com/articles/zuui6z
http://www.360doc.com/content/11/0914/16/7656248_148221200.shtml
关于内存屏障
http://en.wikipedia.org/wiki/Memory_barrier
 
用法与示例
ConcurrentQueue
其完全无锁，但当CAS面临资源竞争失败时可能会陷入自旋并重试操作。
 
Enqueue：在队尾插入元素
TryDequeue：尝试删除队头元素，并通过out参数返回
TryPeek：尝试将对头元素通过out参数返回，但不删除该元素。
 
程序示例：
 
using System;
using System.Text;
 
using System.Threading.Tasks;
using System.Collections.Concurrent;
 
namespace Sample4_1_concurrent_queue
{
    class Program
    {
        internal static ConcurrentQueue<int> _TestQueue;
 
        class ThreadWork1  // producer
        {
            public ThreadWork1()
            { }
 
            public void run()
            {
                System.Console.WriteLine("ThreadWork1 run { ");
                for (int i = 0; i < 100; i++)
                {
                    System.Console.WriteLine("ThreadWork1 producer: " + i);
                    _TestQueue.Enqueue(i);
                }
                System.Console.WriteLine("ThreadWork1 run } ");
            }
        }
 
        class ThreadWork2  // consumer
        {
            public ThreadWork2()
            { }
 
            public void run()
            {
                int i = 0;
                bool IsDequeuue = false;
                System.Console.WriteLine("ThreadWork2 run { ");
                for (; ; )
                {
                    IsDequeuue = _TestQueue.TryDequeue(out i);
                    if (IsDequeuue)
                        System.Console.WriteLine("ThreadWork2 consumer: " + i * i + "   =====");
 
                    if (i == 99)
                        break;
                }
                System.Console.WriteLine("ThreadWork2 run } ");
            }
        }
 
        static void StartT1()
        {
            ThreadWork1 work1 = new ThreadWork1();
            work1.run();
        }
 
        static void StartT2()
        {
            ThreadWork2 work2 = new ThreadWork2();
            work2.run();
        }
        static void Main(string[] args)
        {
            Task t1 = new Task(() => StartT1());
            Task t2 = new Task(() => StartT2());
 
            _TestQueue = new ConcurrentQueue<int>();
 
            Console.WriteLine("Sample 3-1 Main {");
 
            Console.WriteLine("Main t1 t2 started {");
            t1.Start();
            t2.Start();
            Console.WriteLine("Main t1 t2 started }");
 
            Console.WriteLine("Main wait t1 t2 end {");
            Task.WaitAll(t1, t2);
            Console.WriteLine("Main wait t1 t2 end }");
 
            Console.WriteLine("Sample 3-1 Main }");
 
            Console.ReadKey();
        }
    }
}
 
ConcurrentStack
其完全无锁，但当CAS面临资源竞争失败时可能会陷入自旋并重试操作。
 
Push：向栈顶插入元素
TryPop：从栈顶弹出元素，并且通过out 参数返回
TryPeek：返回栈顶元素，但不弹出。
 
程序示例：
 
using System;
using System.Text;
 
using System.Threading.Tasks;
using System.Collections.Concurrent;
 
namespace Sample4_2_concurrent_stack
{
    class Program
    {
        internal static ConcurrentStack<int> _TestStack;
 
        class ThreadWork1  // producer
        {
            public ThreadWork1()
            { }
 
            public void run()
            {
                System.Console.WriteLine("ThreadWork1 run { ");
                for (int i = 0; i < 100; i++)
                {
                    System.Console.WriteLine("ThreadWork1 producer: " + i);
                    _TestStack.Push(i);
                }
                System.Console.WriteLine("ThreadWork1 run } ");
            }
        }
 
        class ThreadWork2  // consumer
        {
            public ThreadWork2()
            { }
 
            public void run()
            {
                int i = 0;
                bool IsDequeuue = false;
                System.Console.WriteLine("ThreadWork2 run { ");
                for (; ; )
                {
                    IsDequeuue = _TestStack.TryPop(out i);
                    if (IsDequeuue)
                        System.Console.WriteLine("ThreadWork2 consumer: " + i * i + "   =====" + i);
 
                    if (i == 99)
                        break;
                }
                System.Console.WriteLine("ThreadWork2 run } ");
            }
        }
 
        static void StartT1()
        {
            ThreadWork1 work1 = new ThreadWork1();
            work1.run();
        }
 
        static void StartT2()
        {
            ThreadWork2 work2 = new ThreadWork2();
            work2.run();
        }
        static void Main(string[] args)
        {
            Task t1 = new Task(() => StartT1());
            Task t2 = new Task(() => StartT2());
 
            _TestStack = new ConcurrentStack<int>();
 
            Console.WriteLine("Sample 4-1 Main {");
 
            Console.WriteLine("Main t1 t2 started {");
            t1.Start();
            t2.Start();
            Console.WriteLine("Main t1 t2 started }");
 
            Console.WriteLine("Main wait t1 t2 end {");
            Task.WaitAll(t1, t2);
            Console.WriteLine("Main wait t1 t2 end }");
 
            Console.WriteLine("Sample 4-1 Main }");
 
            Console.ReadKey();
        }
    }
}
 
测试中一个有趣的现象：
 
虽然生产者已经在栈中插入值已经到了25，但消费者第一个出栈的居然是4，而不是25。很像是出错了。但仔细想想入栈，出栈和打印语句是两个部分，而且并不是原子操作，出现这种现象应该也算正常。
 
Sample 3-1 Main {
Main t1 t2 started {
Main t1 t2 started }
Main wait t1 t2 end {
ThreadWork1 run {
ThreadWork1 producer: 0
ThreadWork2 run {
ThreadWork1 producer: 1
ThreadWork1 producer: 2
ThreadWork1 producer: 3
ThreadWork1 producer: 4
ThreadWork1 producer: 5
ThreadWork1 producer: 6
ThreadWork1 producer: 7
ThreadWork1 producer: 8
ThreadWork1 producer: 9
ThreadWork1 producer: 10
ThreadWork1 producer: 11
ThreadWork1 producer: 12
ThreadWork1 producer: 13
ThreadWork1 producer: 14
ThreadWork1 producer: 15
ThreadWork1 producer: 16
ThreadWork1 producer: 17
ThreadWork1 producer: 18
ThreadWork1 producer: 19
ThreadWork1 producer: 20
ThreadWork1 producer: 21
ThreadWork1 producer: 22
ThreadWork1 producer: 23
ThreadWork1 producer: 24
ThreadWork1 producer: 25
ThreadWork2 consumer: 16   =====4
ThreadWork2 consumer: 625   =====25
ThreadWork2 consumer: 576   =====24
ThreadWork2 consumer: 529   =====23
ThreadWork1 producer: 26
ThreadWork1 producer: 27
ThreadWork1 producer: 28
 
ConcurrentBag
一个无序的集合，程序可以向其中插入元素，或删除元素。
在同一个线程中向集合插入，删除元素的效率很高。
 
 Add：向集合中插入元素 TryTake：从集合中取出元素并删除 TryPeek：从集合中取出元素，但不删除该元素。
 
程序示例：
 
using System;
using System.Text;
 
using System.Threading.Tasks;
using System.Collections.Concurrent;
 
namespace Sample4_3_concurrent_bag
{
    class Program
    {
        internal static ConcurrentBag<int> _TestBag;
 
        class ThreadWork1  // producer
        {
            public ThreadWork1()
            { }
 
            public void run()
            {
                System.Console.WriteLine("ThreadWork1 run { ");
                for (int i = 0; i < 100; i++)
                {
                    System.Console.WriteLine("ThreadWork1 producer: " + i);
                    _TestBag.Add(i);
                }
                System.Console.WriteLine("ThreadWork1 run } ");
            }
        }
 
        class ThreadWork2  // consumer
        {
            public ThreadWork2()
            { }
 
            public void run()
            {
                int i = 0;
                int nCnt = 0;
                bool IsDequeuue = false;
                System.Console.WriteLine("ThreadWork2 run { ");
                for (;;)
                {
                    IsDequeuue = _TestBag.TryTake(out i);
                    if (IsDequeuue)
                    {
                        System.Console.WriteLine("ThreadWork2 consumer: " + i * i + "   =====" + i);
                        nCnt++;
                    }
 
                    if (nCnt == 99)
                        break;
                }
                System.Console.WriteLine("ThreadWork2 run } ");
            }
        }
 
        static void StartT1()
        {
            ThreadWork1 work1 = new ThreadWork1();
            work1.run();
        }
 
        static void StartT2()
        {
            ThreadWork2 work2 = new ThreadWork2();
            work2.run();
        }
        static void Main(string[] args)
        {
            Task t1 = new Task(() => StartT1());
            Task t2 = new Task(() => StartT2());
 
            _TestBag = new ConcurrentBag<int>();
 
            Console.WriteLine("Sample 4-3 Main {");
 
            Console.WriteLine("Main t1 t2 started {");
            t1.Start();
            t2.Start();
            Console.WriteLine("Main t1 t2 started }");
 
            Console.WriteLine("Main wait t1 t2 end {");
            Task.WaitAll(t1, t2);
            Console.WriteLine("Main wait t1 t2 end }");
 
            Console.WriteLine("Sample 4-3 Main }");
 
            Console.ReadKey();
        }
    }
}
 
BlockingCollection
一个支持界限和阻塞的容器
 
Add ：向容器中插入元素
TryTake：从容器中取出元素并删除
TryPeek：从容器中取出元素，但不删除。
CompleteAdding：告诉容器，添加元素完成。此时如果还想继续添加会发生异常。
IsCompleted：告诉消费线程，生产者线程还在继续运行中，任务还未完成。
 
示例程序：
 
程序中，消费者线程完全使用  while (!_TestBCollection.IsCompleted) 作为退出运行的判断条件。
在Worker1中，有两条语句被注释掉了，当i 为50时设置CompleteAdding，但当继续向其中插入元素时，系统抛出异常，提示无法再继续插入。
 
using System;
using System.Text;
 
using System.Threading.Tasks;
using System.Collections.Concurrent;
 
namespace Sample4_4_concurrent_bag
{
    class Program
    {
        internal static BlockingCollection<int> _TestBCollection;
 
        class ThreadWork1  // producer
        {
            public ThreadWork1()
            { }
 
            public void run()
            {
                System.Console.WriteLine("ThreadWork1 run { ");
                for (int i = 0; i < 100; i++)
                {
                    System.Console.WriteLine("ThreadWork1 producer: " + i);
                    _TestBCollection.Add(i);
                    //if (i == 50)
                    //    _TestBCollection.CompleteAdding();
                }
                _TestBCollection.CompleteAdding();
 
                System.Console.WriteLine("ThreadWork1 run } ");
            }
        }
 
        class ThreadWork2  // consumer
        {
            public ThreadWork2()
            { }
 
            public void run()
            {
                int i = 0;
                int nCnt = 0;
                bool IsDequeuue = false;
                System.Console.WriteLine("ThreadWork2 run { ");
                while (!_TestBCollection.IsCompleted)
                {
                    IsDequeuue = _TestBCollection.TryTake(out i);
                    if (IsDequeuue)
                    {
                        System.Console.WriteLine("ThreadWork2 consumer: " + i * i + "   =====" + i);
                        nCnt++;
                    }
                }
                System.Console.WriteLine("ThreadWork2 run } ");
            }
        }
 
        static void StartT1()
        {
            ThreadWork1 work1 = new ThreadWork1();
            work1.run();
        }
 
        static void StartT2()
        {
            ThreadWork2 work2 = new ThreadWork2();
            work2.run();
        }
        static void Main(string[] args)
        {
            Task t1 = new Task(() => StartT1());
            Task t2 = new Task(() => StartT2());
 
            _TestBCollection = new BlockingCollection<int>();
 
            Console.WriteLine("Sample 4-4 Main {");
 
            Console.WriteLine("Main t1 t2 started {");
            t1.Start();
            t2.Start();
            Console.WriteLine("Main t1 t2 started }");
 
            Console.WriteLine("Main wait t1 t2 end {");
            Task.WaitAll(t1, t2);
            Console.WriteLine("Main wait t1 t2 end }");
 
            Console.WriteLine("Sample 4-4 Main }");
 
            Console.ReadKey();
        }
    }
}
 
当然可以尝试在Work1中注释掉 CompleteAdding 语句，此时Work2陷入循环无法退出。
 
ConcurrentDictionary
对于读操作是完全无锁的，当很多线程要修改数据时，它会使用细粒度的锁。
 
AddOrUpdate：如果键不存在，方法会在容器中添加新的键和值，如果存在，则更新现有的键和值。
GetOrAdd：如果键不存在，方法会向容器中添加新的键和值，如果存在则返回现有的值，并不添加新值。
TryAdd：尝试在容器中添加新的键和值。
TryGetValue：尝试根据指定的键获得值。
TryRemove：尝试删除指定的键。
TryUpdate：有条件的更新当前键所对应的值。
GetEnumerator：返回一个能够遍历整个容器的枚举器。
 
程序示例：
 
using System;
using System.Text;
 
using System.Threading.Tasks;
using System.Collections.Concurrent;
 
namespace Sample4_5_concurrent_dictionary
{
    class Program
    {
        internal static ConcurrentDictionary<int, int> _TestDictionary;
 
        class ThreadWork1  // producer
        {
            public ThreadWork1()
            { }
 
            public void run()
            {
                System.Console.WriteLine("ThreadWork1 run { ");
                for (int i = 0; i < 100; i++)
                {
                    System.Console.WriteLine("ThreadWork1 producer: " + i);
                    _TestDictionary.TryAdd(i, i);
                }
 
                System.Console.WriteLine("ThreadWork1 run } ");
            }
        }
 
        class ThreadWork2  // consumer
        {
            public ThreadWork2()
            { }
 
            public void run()
            {
                int i = 0, nCnt = 0;
                int nValue = 0;
                bool IsOk = false;
                System.Console.WriteLine("ThreadWork2 run { ");
                while (nCnt < 100)
                {
                    IsOk = _TestDictionary.TryGetValue(i, out nValue);
                    if (IsOk)
                    {
                        System.Console.WriteLine("ThreadWork2 consumer: " + i * i + "   =====" + i);
                        nValue = nValue * nValue;
                        _TestDictionary.AddOrUpdate(i, nValue, (key, value) => { return value = nValue; });
                        nCnt++;
                        i++;
                    }
                }
                System.Console.WriteLine("ThreadWork2 run } ");
            }
        }
 
        static void StartT1()
        {
            ThreadWork1 work1 = new ThreadWork1();
            work1.run();
        }
 
        static void StartT2()
        {
            ThreadWork2 work2 = new ThreadWork2();
            work2.run();
        }
        static void Main(string[] args)
        {
            Task t1 = new Task(() => StartT1());
            Task t2 = new Task(() => StartT2());
            bool bIsNext = true;
            int  nValue = 0;
 
            _TestDictionary = new ConcurrentDictionary<int, int>();
 
            Console.WriteLine("Sample 4-5 Main {");
 
            Console.WriteLine("Main t1 t2 started {");
            t1.Start();
            t2.Start();
            Console.WriteLine("Main t1 t2 started }");
 
            Console.WriteLine("Main wait t1 t2 end {");
            Task.WaitAll(t1, t2);
            Console.WriteLine("Main wait t1 t2 end }");
 
            foreach (var pair in _TestDictionary)
            {
                Console.WriteLine(pair.Key + " : " + pair.Value);
            }
 
            System.Collections.Generic.IEnumerator<System.Collections.Generic.KeyValuePair<int, int>>
                enumer = _TestDictionary.GetEnumerator();
 
            while (bIsNext)
            {
                bIsNext = enumer.MoveNext();
                Console.WriteLine("Key: " + enumer.Current.Key +
                                  "  Value: " + enumer.Current.Value);
 
                _TestDictionary.TryRemove(enumer.Current.Key, out nValue);
            }
 
            Console.WriteLine("\n\nDictionary Count: " + _TestDictionary.Count);
 
            Console.WriteLine("Sample 4-5 Main }");
 
            Console.ReadKey();
        }
    }
}