了解用于多任务的异步/等待模式 [英] Understanding Async/Await pattern for multi-tasking

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本文介绍了了解用于多任务的异步/等待模式的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

目前,我很难理解使用异步和等待模式的多任务处理.为了测试一个案例,我编写了以下代码以了解一些基本知识;

Currently, i am having difficulties to understand multi-tasking using async and await pattern. In order test a case, i have written following code to understand some basics;

public partial class MainWindow : Window
{

    public MainWindow()
    {
        InitializeComponent();
    }

    private int global_int = 10;
    public async Task<int> RunAsyncTask()
    {
       // This method runs asynchronously.
       await Task.Run(() => Calculate());
       return global_int;
    }

    private int Calculate()
    {
        Console.WriteLine("Ticket count: " + --global_int);
        return global_int;
    }

    private async void  Start_Button_Click(object sender, RoutedEventArgs e)
    {
        List<Task<int>> list = new List<Task<int>>(); 

        Console.WriteLine("\nReseting: " );
        global_int = 10;

        for (int i = 0; i < 10; i++)
        {
            var task = RunAsyncTask();
            list.Add(task); 
        }

       await Task.WhenAll(list.ToArray<Task<int>>()); 

       Console.WriteLine("\nFinished: " + global_int);

    }
}

想法/目标:

10位顾客,10张票,每个顾客都购买一张票,最后将没有可用的票.

10 customers, 10 tickets, every customer buys a ticket and at the end there will be no availiable ticket.

问题:

当我运行代码时,实际上我得到的结果并不总是相同的(总是期望0张票).实际问题在哪里?

When I run the code, i am actually getting not always the same result (Expecting 0 ticket always). Where is the actuall problem?

因此,我该如何以这样的方式编写代码,结果将始终是相同的.

So, how can I write the code in a way that, result would be always same.

输出1:

Reseting: 
Ticket count: 9
Ticket count: 8
Ticket count: 8
Ticket count: 7
Ticket count: 5
Ticket count: 6
Ticket count: 4
Ticket count: 3
Ticket count: 2
Ticket count: 1

Finished: 1

输出2:

Reseting: 
Ticket count: 9
Ticket count: 8
Ticket count: 7
Ticket count: 6
Ticket count: 5
Ticket count: 4
Ticket count: 3
Ticket count: 2
Ticket count: 1
Ticket count: 0

Finished: 0

推荐答案

如果您想了解如何在仍然使用异步模式的同时以单线程方式调度任务,您可能会对这段代码感兴趣. /p>

If you want to understand how tasks might be scheduled in a single-threaded fashion while still making use of async patterns, you may be interested in this code.

class Program
{
   static void Main(string[] args)
   {
     InitiateCalculations().Wait();
     Console.WriteLine("Finished: {0}", global_int);
   }

   // LimitedConcurrencyLevelTaskScheduler from
   // https://msdn.microsoft.com/en-us/library/system.threading.tasks.taskscheduler
   // Provides a task scheduler that ensures a maximum concurrency level while 
   // running on top of the thread pool.
   public class LimitedConcurrencyLevelTaskScheduler : TaskScheduler
   {
      public static TaskFactory SingleFactory { get; private set; }

      static LimitedConcurrencyLevelTaskScheduler()
      {
         SingleFactory = new TaskFactory(new LimitedConcurrencyLevelTaskScheduler(1));
      }

      // Indicates whether the current thread is processing work items.
      [ThreadStatic]
      private static bool _currentThreadIsProcessingItems;

      // The list of tasks to be executed 
      private readonly LinkedList<Task> _tasks = new LinkedList<Task>(); // protected by lock(_tasks)

      // The maximum concurrency level allowed by this scheduler. 
      private readonly int _maxDegreeOfParallelism;

      // Indicates whether the scheduler is currently processing work items. 
      private int _delegatesQueuedOrRunning = 0;

      // Creates a new instance with the specified degree of parallelism. 
      public LimitedConcurrencyLevelTaskScheduler(int maxDegreeOfParallelism)
      {
         if (maxDegreeOfParallelism < 1) throw new ArgumentOutOfRangeException("maxDegreeOfParallelism");
         _maxDegreeOfParallelism = maxDegreeOfParallelism;
      }

      // Queues a task to the scheduler. 
      protected sealed override void QueueTask(Task task)
      {
         // Add the task to the list of tasks to be processed.  If there aren't enough 
         // delegates currently queued or running to process tasks, schedule another. 
         lock (_tasks)
         {
            _tasks.AddLast(task);
            if (_delegatesQueuedOrRunning < _maxDegreeOfParallelism)
            {
               ++_delegatesQueuedOrRunning;
               NotifyThreadPoolOfPendingWork();
            }
         }
      }
      // Inform the ThreadPool that there's work to be executed for this scheduler. 
      private void NotifyThreadPoolOfPendingWork()
      {
         ThreadPool.UnsafeQueueUserWorkItem(_ =>
         {
            // Note that the current thread is now processing work items.
            // This is necessary to enable inlining of tasks into this thread.
            _currentThreadIsProcessingItems = true;
            try
            {
               // Process all available items in the queue.
               while (true)
               {
                  Task item;
                  lock (_tasks)
                  {
                     // When there are no more items to be processed,
                     // note that we're done processing, and get out.
                     if (_tasks.Count == 0)
                     {
                        --_delegatesQueuedOrRunning;
                        break;
                     }

                     // Get the next item from the queue
                     item = _tasks.First.Value;
                     _tasks.RemoveFirst();
                  }

                  // Execute the task we pulled out of the queue
                  base.TryExecuteTask(item);
               }
            }
            // We're done processing items on the current thread
            finally { _currentThreadIsProcessingItems = false; }
         }, null);
      }

      // Attempts to execute the specified task on the current thread. 
      protected sealed override bool TryExecuteTaskInline(Task task, bool taskWasPreviouslyQueued)
      {
         // If this thread isn't already processing a task, we don't support inlining
         if (!_currentThreadIsProcessingItems) return false;

         // If the task was previously queued, remove it from the queue
         if (taskWasPreviouslyQueued)
            // Try to run the task. 
            if (TryDequeue(task))
               return base.TryExecuteTask(task);
            else
               return false;
         else
            return base.TryExecuteTask(task);
      }

      // Attempt to remove a previously scheduled task from the scheduler. 
      protected sealed override bool TryDequeue(Task task)
      {
         lock (_tasks) return _tasks.Remove(task);
      }

      // Gets the maximum concurrency level supported by this scheduler. 
      public sealed override int MaximumConcurrencyLevel { get { return _maxDegreeOfParallelism; } }

      // Gets an enumerable of the tasks currently scheduled on this scheduler. 
      protected sealed override IEnumerable<Task> GetScheduledTasks()
      {
         bool lockTaken = false;
         try
         {
            Monitor.TryEnter(_tasks, ref lockTaken);
            if (lockTaken) return _tasks;
            else throw new NotSupportedException();
         }
         finally
         {
            if (lockTaken) Monitor.Exit(_tasks);
         }
      }
   }

   static private int global_int = 10;
   public static Task<int> RunAsyncTask()
   {
      return LimitedConcurrencyLevelTaskScheduler.SingleFactory.StartNew<int>(Calculate);
   }

   private static int Calculate()
   {
      Thread.Sleep(500);
      Console.WriteLine("Ticket count: {0} Thread: {1}", --global_int, Thread.CurrentThread.ManagedThreadId);
      return global_int;
   }

   private static async Task InitiateCalculations()
   {
      List<Task<int>> list = new List<Task<int>>();

      Console.WriteLine("\nReseting: ");
      global_int = 10;

      for (int i = 0; i < 10; i++)
      {
         var task = RunAsyncTask();
         list.Add(task);
      }

      await Task.WhenAll(list.ToArray<Task<int>>());
   }
}

这篇关于了解用于多任务的异步/等待模式的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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