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C# 使用阻止集合创建文件拾取进程_C#_Multithreading_Blockingcollection - Fatal编程技术网

C# 使用阻止集合创建文件拾取进程

C# 使用阻止集合创建文件拾取进程,c#,multithreading,blockingcollection,C#,Multithreading,Blockingcollection,我现在得到的是一个计时器,每5000毫秒触发一次: static Timer _aTimer = new System.Timers.Timer(); static void Main(string[] args) { _aTimer.Elapsed += new ElapsedEventHandler(OnTimedEvent); _aTimer.Interval = 5000; _aTimer.Enabled = true;

我现在得到的是一个计时器,每5000毫秒触发一次:

static Timer _aTimer = new System.Timers.Timer();

    static void Main(string[] args)
    {
        _aTimer.Elapsed += new ElapsedEventHandler(OnTimedEvent);

        _aTimer.Interval = 5000;
        _aTimer.Enabled = true;

        Console.WriteLine("Press \'q\' to quit the sample.");
        while (Console.Read() != 'q') ;

    }
fire然后设置处理文件的队列:

        private static void OnTimedEvent(object source, ElapsedEventArgs e)
    {
        // stop the timer so we dont reprocess files we already have in the queue
        StopTimer();

        // setup a list of queues
        var lists = new List<IncomingOrderQueue>();
        //get the accounts in which the files we are looking in
        var accounts = new List<string>() { "Account1", "Account2" };
        //loop through the accounts and set up the queue 
        foreach (var acc in accounts)
        {
            // create the queue
            var tmp = new IncomingOrderQueue();
            // for each file in the folders add it to be processed in the queue
            foreach (var orderFile in OrderFiles(acc))
            {
                tmp.EnqueueSweep(new QueueVariables() { Account = acc, File = orderFile });
            }
            // add the queue to the list of queues
            lists.Add(tmp);
        }
        // for each of the queues consume all the contents of them
        Parallel.ForEach(lists, l => l.Consume());

        //start the timer back up again because we have finished all the files we have in the current queue
        StartTimer();
    }

        public static void StopTimer()
    {
        Console.WriteLine("Stop Timer");
        _aTimer.Stop();
        _aTimer.Enabled = false;
    }

    public static void StartTimer()
    {
        Console.WriteLine("Start Timer");
        _aTimer.Enabled = true;
        _aTimer.Start();
    }
time-devent上的私有静态void(对象源,ElapsedEventArgs e)
{
//停止计时器,这样我们就不会重新处理队列中已有的文件
停止计时器();
//设置队列列表
var List=新列表();
//获取我们正在查找的文件所在的帐户
var accounts=new List(){“Account1”、“Account2”};
//循环查看帐户并设置队列
foreach(账户中的var acc)
{
//创建队列
var tmp=new IncomingOrderQueue();
//对于文件夹中的每个文件,添加要在队列中处理的文件
foreach(OrderFiles(acc)中的var orderFile)
{
EnqueueSweep(new QueueVariables(){Account=acc,File=orderFile});
}
//将队列添加到队列列表中
列表。添加(tmp);
}
//对于每个队列,都会使用其中的所有内容
Parallel.ForEach(list,l=>l.Consume());
//重新启动计时器,因为我们已完成当前队列中的所有文件
StartTimer();
}
公共静态void StopTimer()
{
控制台写入线(“停止计时器”);
_停止();
_aTimer.Enabled=false;
}
公共静态void StartTimer()
{
控制台写入线(“启动计时器”);
_aTimer.Enabled=true;
_aTimer.Start();
}
阻塞队列本身:

 public class IncomingOrderQueue 
{
    BlockingCollection<QueueVariables> _orderQ = new BlockingCollection<QueueVariables>();

    public void EnqueueSweep(QueueVariables incoming)
    {
        // add items to the queue
        _orderQ.Add(incoming);
    }

    public void Consume()
    {
        // stop anything been adding to the queue
        _orderQ.CompleteAdding();
        // consume all the objects in the blocking collection
        Parallel.ForEach(_orderQ.GetConsumingEnumerable(), Processor.Order.Object);
    }

    public int QueueCount
    {
        get
        {
            return _orderQ.Count;
        }
    }
}
公共类IncomingOrderQueue
{
BlockingCollection_orderQ=新BlockingCollection();
public void EnqueueSweep(队列变量传入)
{
//将项目添加到队列中
_orderQ.Add(传入);
}
公共消费()
{
//停止添加到队列中的任何内容
_orderQ.CompleteAdding();
//使用阻塞集合中的所有对象
Parallel.ForEach(_orderQ.getconsumineGenumerable(),Processor.Order.Object);
}
公共整数队列计数
{
得到
{
返回_orderQ.Count;
}
}
}
我所做的工作应该是,启动计时器->停止计时器->触发收集文件夹中所有文件的过程->处理所有文件->重新启动计时器

我忍不住想有更好的方法来做我正在做的事情,尤其是当为帐户创建的队列数量为200-400时


谢谢

我想你不需要停下来启动你的生产者和消费者。
BlockingCollection
可以在达到最大容量时阻止生产者,在容量为空时阻止消费者

我也可能从一个
BlockingCollection
开始,直到分析显示我需要另一个。根据生产者和消费者的相对速度,您可能需要调整他们的数字。如果它们是IO绑定的,那么它们应该是异步的,并且可以有很多,如果它们是CPU绑定的,那么可能只需要可用的处理器数量

我重做了你的例子,假设IO绑定的生产者和消费者,希望它能给你一些想法。它以10秒的间隔启动生产者,并可以一直运行,直到您通过
CanelationToken
取消生产。只有在您取消并完成生产后,您才能
完成添加
,以释放被阻止的消费者

public class QueueVariables
{
    public string Account {get;set;}
    public string File {get;set;}
}

public static ConcurrentQueue<string> GetACcounts()
{
    return new ConcurrentQueue<string>(new []
        {
        "Account1",
        "Account2",
        "Account3",
        "Account4",
        "Account5",
        "Account6",
        "Account7",
        "Account8",
        "Account9",
        "Account10",
        "Account11",
        "Account12",
    });
}

public static List<string> GetFiles(string acct)
{
    return new List<string>
    {
        "File1",
        "File2",
        "File3",
        "File4",
        "File5",
        "File6",
        "File7",
        "File8",
        "File9",
        "File10",
        "File11",
        "File12",
    };
}

public static async Task StartPeriodicProducers(int numProducers, TimeSpan period, CancellationToken ct)
{
    while(!ct.IsCancellationRequested)
    {
        var producers = StartProducers(numProducers, ct);

        // wait for production to finish
        await Task.WhenAll(producers.ToArray());

        // wait before running again
        Console.WriteLine("***Waiting " + period);
        await Task.Delay(period, ct);
    }
}

public static List<Task> StartProducers(int numProducers, CancellationToken ct)
{
    List<Task> producingTasks = new List<Task>();
    var accounts = GetACcounts();

    for (int i = 0; i < numProducers; i++)
    {
        producingTasks.Add(Task.Run(async () =>
        {
            string acct;
            while(accounts.TryDequeue(out acct) && !ct.IsCancellationRequested)
            {
                foreach (var file in GetFiles(acct))
                {
                    _orderQ.Add(new UserQuery.QueueVariables{ Account = acct, File = file });
                    Console.WriteLine("Produced Account:{0} File:{1}", acct, file);
                    await Task.Delay(50, ct); // simulate production delay
                }
            }

            Console.WriteLine("Finished producing");
        }));
    }

    return producingTasks;
}

public static List<Task> StartConsumers(int numConsumers)
{
    List<Task> consumingTasks = new List<Task>();

    for (int j = 0; j < numConsumers; j++)
    {
        consumingTasks.Add(Task.Run(async () =>
        {
            try
            {
                while(true)
                {
                    var queueVar = _orderQ.Take();
                    Console.WriteLine("Consumed Account:{0} File:{1}", queueVar.Account, queueVar.File);
                    await Task.Delay(200); // simulate consumption delay
                }
            }
            catch(InvalidOperationException)
            {
                Console.WriteLine("Finished Consuming");
            }
        }));
    }

    return consumingTasks;
}

private static async Task MainAsync()
{
    CancellationTokenSource cts = new CancellationTokenSource();
    var periodicProducers = StartPeriodicProducers(2, TimeSpan.FromSeconds(10), cts.Token);
    var consumingTasks = StartConsumers(4);

    await Task.Delay(TimeSpan.FromSeconds(120));

    // stop production
    cts.Cancel();

    try
    {
        // wait for producers to finish producing
        await periodicProducers;
    }
    catch(OperationCanceledException)
    {
        // operation was cancelled
    }

    // complete adding to release blocked consumers
    _orderQ.CompleteAdding();

    // wait for consumers to finish consuming
    await Task.WhenAll(consumingTasks.ToArray());
}

// maximum size 10, after that capaicity is reached the producers block
private static BlockingCollection<QueueVariables> _orderQ = new BlockingCollection<QueueVariables>(10);

void Main()
{
    MainAsync().Wait();
    Console.ReadLine();
}

// Define other methods and classes here
公共类队列变量
{
公共字符串帐户{get;set;}
公共字符串文件{get;set;}
}
公共静态ConcurrentQueue GetACcounts()
{
返回新的ConcurrentQueue(新[]
{
“账户1”,
“会计2”,
“帐户3”,
“帐户4”,
“账户5”,
“帐户6”,
“账户7”,
“帐户8”,
“帐户9”,
“帐户10”,
“账户11”,
“账户12”,
});
}
公共静态列表GetFiles(字符串帐户)
{
返回新列表
{
“文件1”,
“文件2”,
“文件3”,
“文件4”,
“文件5”,
“文件6”,
“文件7”,
“文件8”,
“文件9”,
“文件10”,
“文件11”,
“文件12”,
};
}
公共静态异步任务StartPeriodicProducers(int numProducers、TimeSpan period、CancellationToken ct)
{
而(!ct.iscancellationrequest)
{
var生产者=StartProducers(numProducers,ct);
//等待生产完成
wait Task.WhenAll(producers.ToArray());
//等待,然后再运行
控制台写入线(***等待“+期间);
等待任务。延迟(周期,ct);
}
}
公共静态列表StartProducers(int numProducers、CancellationToken ct)
{
List producingTasks=新列表();
var accounts=GetACcounts();
for(int i=0;i
{
字符串帐户;
while(accounts.TryDequeue(out acct)和&!ct.iscancellationrequest)
{
foreach(GetFiles(acct)中的var文件)
{
_添加(newuserquery.QueueVariables{Account=acct,File=File});
WriteLine(“生成的帐户:{0}文件:{1}”,帐户,文件);
等待任务。延迟(50,ct);//模拟生产延迟
}
}
控制台写入线(“成品”);
}));
}
返回生产任务;
}
公共静态列表StartConsumers(整数消费者)
{
List consumingTasks=新列表();
对于(int j=0;j
{
尝试
{
while(true)
{
var queueVar=\u orderQ.Take(