thread safe processing of a queue - c#

I am putting tasks from the UI-thread into a queue, so that they can be processed in another thread. if there is nothing to do, the thread should wait with an AutoResetEvent - obviously all this should be threadsafe.
i am putting tasks in the queue from the UI-thread like this:
lock (_syncObject)
{
_queue.Enqueue(new FakeTask());
}
_autoResetEvent.Set();
here is how my processing thread-loop looks so far:
while (true)
{
FakeTask task = null;
lock (_syncObject)
{
if (_queue.Count > 0)
{
task = _queue.Dequeue();
}
}
if (task != null)
{
task.Run();
Thread.Sleep(1000); //just here for testing purposes
}
if (_queue.Count == 0)
{
_autoResetEvent.WaitOne();
}
}
i am afraid that the last part where i check if something else is in the queue is not thread safe and would like to know how i can make it so. thanks!

In simple case, try using BlockingCollection which has been specially designed for implementing Producer / Consumer pattern:
private async Task Process() {
using (BlockingCollection<FakeTask> _queue = new BlockingCollection<FakeTask>()) {
Task producer = Task.Run(() => {
while (!completed) {
//TODO: put relevant code here
_queue.Add(new FakeTask());
}
_queue.CompleteAdding();
});
Task consumer = Task.Run(() => {
foreach (FakeTask task in _queue.GetConsumingEnumerable()) {
//TODO: process task - put relevant code here
}
});
await Task.WhenAll(producer, consumer).ConfigureAwait(false);
}
}
Edit: if producer is UI thread itself:
private async Task Process() {
using (BlockingCollection<FakeTask> _queue = new BlockingCollection<FakeTask>()) {
Task consumer = Task.Run(() => {
foreach (FakeTask task in _queue.GetConsumingEnumerable()) {
//TODO: process task - put relevant code here
}
});
// If we produce in UI we don't want any separate Task
while (!completed) {
//TODO: put relevant code here
_queue.Add(new FakeTask());
}
_queue.CompleteAdding();
await consumer.ConfigureAwait(false);
}
}
In case of entangled mesh (e.g. producers #1, #2 genetate tasks for consumers #1, #2, #3 which in turn create tasks for...) try DataFlow

It's not useful to create a thread just so that it can spend basically all of its time sitting around doing nothing waiting for work to do.
All you need to do is use an asynchronous locking mechanism around the UI task's scheduling of background work to be done. SemaphoreSlim provides such an asynchronous synchronization mechanism.
await sempahoreSlim.WaitAsync();
try
{
await Task.Run(() => DoWork());
}
finally
{
sempahoreSlim.Release();
}
Not only is it a lot less code, and has much simpler code that more accurately reflects what the business logic of the application is, but you're consuming quite a lot less system resources.
And of course if different background operations can safely run in parallel, then just use the thread pool, rather than your own message loop, and the code becomes even simpler.

Related

Managing task cancellation and completion on a concurrent thread

[ This question needs to be reimagined. One of my thread queues MUST run on an STA thread, and the code below does not accommodate that. In particular it seems Task<> chooses its own thread and that just is not going to work for me. ]
I have a task queue (BlockingCollection) that I'm running through on a dedicated thread. That queue receives a series of Task<> objects that it runs sequentially within that thread via a while loop.
I need a means of Cancelling that series of tasks, and a means of knowing that the tasks are all complete. I have not been able to figure out how to do this.
Here's a fragment of my queuing class. ProcessQueue is run on a separate thread from main. QueueJob calls occur on the main thread.
using Job = Tuple<Task<bool>, string>;
public class JobProcessor
{
private readonly BlockingCollection<Job> m_queue = new BlockingCollection<Job>();
volatile bool cancel_queue = false;
private bool ProcessQueue()
{
while (true)
{
if (m_queue.IsAddingCompleted)
break;
Job tuple;
if (!m_queue.TryTake(out tuple, Timeout.Infinite))
break;
var task = tuple.Item1;
var taskName = tuple.Item2;
try
{
Console.WriteLine("Task {0}::{1} starting", this.name, taskName);
task.RunSynchronously();
Console.WriteLine("Task {0}::{1} completed", this.name, taskName);
}
catch (Exception e)
{
string message = e.Message;
}
if (cancel_queue) // CANCEL BY ERASING TASKS AND NOT RUNNING.
{
while (m_queue.TryTake(out tuple))
{
}
}
} // while(true)
return true;
}
public Task<bool> QueueJob(Func<bool> input)
{
var task = new Task<bool>(input);
try
{
m_queue.Add(Tuple.Create(task, input.Method.Name));
}
catch (InvalidOperationException)
{
Task<bool> dummy = new Task<bool>(() => false);
dummy.Start();
return dummy;
}
return task;
}
Here are the functions that trouble me:
public void ClearQueue()
{
cancel_queue = true;
// wait for queue to become empty. HOW?
cancel_queue = false;
}
public void WaitForCompletion()
{
// wait for all tasks to be completed.
// not sufficient to wait for empty queue because the last task
// must also execute and finish. HOW?
}
}
Here is some usage:
class SomeClass
{
void Test()
{
JobProcessor jp = new JobProcessor();
// launch Processor loop on separate thread... code not shown.
// send a bunch of jobs via QueueJob... code not show.
// launch dialog... code not shown.
if (dialog_result == Result.Cancel)
jp.ClearQueue();
if (dialog_result == Result.Proceed)
jp.WaitForCompletion();
}
}
The idea is after the work is completed or cancelled, new work may be posted. In general though, new work may come in asynchronously. WaitForCompletion might in fact be "when all work is done, inform the user and then do other stuff", so it doesn't strictly have to be a synchronous function call like above, but I can't figure how to make these happen.
(One further complication, I expect to have several queues that interact. While I am careful to keep things parallelized in a way to prevent deadlocks, I am not confident what happens when cancellation is introduced into the mix, but this is probably beyond scope for this question.)
WaitForCompletion() sounds easy enough. Create a semaphore or event, create a task whose only action is to signal the semaphore, queue up the task, wait on the semaphore.
When the thread finishes the last 'real' task, the semaphore task will be run and so the thread that called WaitForCompletion will become ready/running:)
Would not a similar approach work for cancellation? Have a very high priority thread that you create/signal that drains the queue of all pending jobs, disposing them, queueing up the semaphore task and waiting for the 'last task done' signal?

Add further tasks to an existing WaitAll

Supposing I have a collection of Tasks, which I'm going to WaitAll() on.
Suppose that, before they've all finished, I want to add some more tasks to that collection and I want the wait to continuing waiting until they're all done too. And I might add still more tasks before the end, etc. etc.
Can I do that using TPL? Or am I going to have to hand-roll my own thread management? (yuck!)
WaitAll() acts on Task[] so I can't just have a List<Task> that I call .ToArray() on, because then the Wait won't know about any new Tasks that are added?
Similar questions about WaitAny() apply.
Here is one solution for WaitAll:
Assume that you have the following list to hold the tasks:
List<Task> tasks = new List<Task>();
Here is how you can wait on them:
while (true)
{
Task[] my_tasks;
lock (tasks)
{
my_tasks = tasks.ToArray(); //take snapshot
tasks.Clear(); //clear list
}
if (my_tasks.Length == 0)
break;
Task.WaitAll(my_tasks);
}
Just make sure that you lock on the list when you add tasks to the list like this:
lock (tasks)
{
tasks.Add(...
}
By the way, is there a reason why you are synchronously waiting for the tasks instead of asynchronously (you are using WaitAll and not WhenAll)?
If you want to synchronously wait on something and then wait on something else later, you need to cancel the original wait and start a new one. Do the original wait on what you have at the beginning, then when you need to add more tasks, add them to the current task list and signal the cancellation which restarts the wait.
public class MutableTaskWaiter
{
private List<Task> _tasks = new List<Task>();
private CancellationTokenSource _cts;
public IEnumerable<Task> Tasks
{
get
{
lock (_tasks)
{
return _tasks.ToArray();
}
}
}
public void WaitAll(IEnumerable<Task> tasks)
{
WaitMoreTasks(tasks);
do
{
try
{
_cts = new CancellationTokenSource();
Task.WaitAll(_tasks.ToArray(), _cts.Token);
}
catch (OperationCanceledException)
{
// start over and wait for new tasks
}
}
while (_cts.IsCancellationRequested);
}
public void WaitAny(IEnumerable<Task> tasks)
{
WaitMoreTasks(tasks);
do
{
try
{
_cts = new CancellationTokenSource();
Task.WaitAny(_tasks.ToArray(), _cts.Token);
}
catch (OperationCanceledException)
{
// start over and wait for new tasks
}
}
while (_cts.IsCancellationRequested);
}
public void WaitMoreTasks(IEnumerable<Task> tasks)
{
lock (_tasks)
{
_tasks.AddRange(tasks);
if (_cts != null)
{
// signal the wait to restart with the updated task list
_cts.Cancel();
}
}
}
}
Of course you are still going to have to deal with race conditions in the WaitAll scenarithat come up if you are adding Tasks for a long time and you have some short lived tasks originally. e.g. if my intial task list completes after 5 seconds, I cant add a new task to the wait list after 10 seconds because I'll already be done waiting.

Calling TaskCompletionSource.SetResult in a non blocking manner

I've discovered that TaskCompletionSource.SetResult(); invokes the code awaiting the task before returning. In my case that result in a deadlock.
This is a simplified version that is started in an ordinary Thread
void ReceiverRun()
while (true)
{
var msg = ReadNextMessage();
TaskCompletionSource<Response> task = requests[msg.RequestID];
if(msg.Error == null)
task.SetResult(msg);
else
task.SetException(new Exception(msg.Error));
}
}
The "async" part of the code looks something like this.
await SendAwaitResponse("first message");
SendAwaitResponse("second message").Wait();
The Wait is actually nested inside non-async calls.
The SendAwaitResponse(simplified)
public static Task<Response> SendAwaitResponse(string msg)
{
var t = new TaskCompletionSource<Response>();
requests.Add(GetID(msg), t);
stream.Write(msg);
return t.Task;
}
My assumption was that the second SendAwaitResponse would execute in a ThreadPool thread but it continues in the thread created for ReceiverRun.
Is there anyway to set the result of a task without continuing its awaited code?
The application is a console application.
I've discovered that TaskCompletionSource.SetResult(); invokes the code awaiting the task before returning. In my case that result in a deadlock.
Yes, I have a blog post documenting this (AFAIK it's not documented on MSDN). The deadlock happens because of two things:
There's a mixture of async and blocking code (i.e., an async method is calling Wait).
Task continuations are scheduled using TaskContinuationOptions.ExecuteSynchronously.
I recommend starting with the simplest possible solution: removing the first thing (1). I.e., don't mix async and Wait calls:
await SendAwaitResponse("first message");
SendAwaitResponse("second message").Wait();
Instead, use await consistently:
await SendAwaitResponse("first message");
await SendAwaitResponse("second message");
If you need to, you can Wait at an alternative point further up the call stack (not in an async method).
That's my most-recommended solution. However, if you want to try removing the second thing (2), you can do a couple of tricks: either wrap the SetResult in a Task.Run to force it onto a separate thread (my AsyncEx library has *WithBackgroundContinuations extension methods that do exactly this), or give your thread an actual context (such as my AsyncContext type) and specify ConfigureAwait(false), which will cause the continuation to ignore the ExecuteSynchronously flag.
But those solutions are much more complex than just separating the async and blocking code.
As a side note, take a look at TPL Dataflow; it sounds like you may find it useful.
As your app is a console app, it runs on the default synchronization context, where the await continuation callback will be called on the same thread the awaiting task has become completed on. If you want to switch threads after await SendAwaitResponse, you can do so with await Task.Yield():
await SendAwaitResponse("first message");
await Task.Yield();
// will be continued on a pool thread
// ...
SendAwaitResponse("second message").Wait(); // so no deadlock
You could further improve this by storing Thread.CurrentThread.ManagedThreadId inside Task.Result and comparing it to the current thread's id after the await. If you're still on the same thread, do await Task.Yield().
While I understand that SendAwaitResponse is a simplified version of your actual code, it's still completely synchronous inside (the way you showed it in your question). Why would you expect any thread switch in there?
Anyway, you probably should redesign your logic the way it doesn't make assumptions about what thread you are currently on. Avoid mixing await and Task.Wait() and make all of your code asynchronous. Usually, it's possible to stick with just one Wait() somewhere on the top level (e.g. inside Main).
[EDITED] Calling task.SetResult(msg) from ReceiverRun actually transfers the control flow to the point where you await on the task - without a thread switch, because of the default synchronization context's behavior. So, your code which does the actual message processing is taking over the ReceiverRun thread. Eventually, SendAwaitResponse("second message").Wait() is called on the same thread, causing the deadlock.
Below is a console app code, modeled after your sample. It uses await Task.Yield() inside ProcessAsync to schedule the continuation on a separate thread, so the control flow returns to ReceiverRun and there's no deadlock.
using System;
using System.Collections.Concurrent;
using System.Threading;
using System.Threading.Tasks;
namespace ConsoleApplication
{
class Program
{
class Worker
{
public struct Response
{
public string message;
public int threadId;
}
CancellationToken _token;
readonly ConcurrentQueue<string> _messages = new ConcurrentQueue<string>();
readonly ConcurrentDictionary<string, TaskCompletionSource<Response>> _requests = new ConcurrentDictionary<string, TaskCompletionSource<Response>>();
public Worker(CancellationToken token)
{
_token = token;
}
string ReadNextMessage()
{
// using Thread.Sleep(100) for test purposes here,
// should be using ManualResetEvent (or similar synchronization primitive),
// depending on how messages arrive
string message;
while (!_messages.TryDequeue(out message))
{
Thread.Sleep(100);
_token.ThrowIfCancellationRequested();
}
return message;
}
public void ReceiverRun()
{
LogThread("Enter ReceiverRun");
while (true)
{
var msg = ReadNextMessage();
LogThread("ReadNextMessage: " + msg);
var tcs = _requests[msg];
tcs.SetResult(new Response { message = msg, threadId = Thread.CurrentThread.ManagedThreadId });
_token.ThrowIfCancellationRequested(); // this is how we terminate the loop
}
}
Task<Response> SendAwaitResponse(string msg)
{
LogThread("SendAwaitResponse: " + msg);
var tcs = new TaskCompletionSource<Response>();
_requests.TryAdd(msg, tcs);
_messages.Enqueue(msg);
return tcs.Task;
}
public async Task ProcessAsync()
{
LogThread("Enter Worker.ProcessAsync");
var task1 = SendAwaitResponse("first message");
await task1;
LogThread("result1: " + task1.Result.message);
// avoid deadlock for task2.Wait() with Task.Yield()
// comment this out and task2.Wait() will dead-lock
if (task1.Result.threadId == Thread.CurrentThread.ManagedThreadId)
await Task.Yield();
var task2 = SendAwaitResponse("second message");
task2.Wait();
LogThread("result2: " + task2.Result.message);
var task3 = SendAwaitResponse("third message");
// still on the same thread as with result 2, no deadlock for task3.Wait()
task3.Wait();
LogThread("result3: " + task3.Result.message);
var task4 = SendAwaitResponse("fourth message");
await task4;
LogThread("result4: " + task4.Result.message);
// avoid deadlock for task5.Wait() with Task.Yield()
// comment this out and task5.Wait() will dead-lock
if (task4.Result.threadId == Thread.CurrentThread.ManagedThreadId)
await Task.Yield();
var task5 = SendAwaitResponse("fifth message");
task5.Wait();
LogThread("result5: " + task5.Result.message);
LogThread("Leave Worker.ProcessAsync");
}
public static void LogThread(string message)
{
Console.WriteLine("{0}, thread: {1}", message, Thread.CurrentThread.ManagedThreadId);
}
}
static void Main(string[] args)
{
Worker.LogThread("Enter Main");
var cts = new CancellationTokenSource(5000); // cancel after 5s
var worker = new Worker(cts.Token);
Task receiver = Task.Run(() => worker.ReceiverRun());
Task main = worker.ProcessAsync();
try
{
Task.WaitAll(main, receiver);
}
catch (Exception e)
{
Console.WriteLine("Exception: " + e.Message);
}
Worker.LogThread("Leave Main");
Console.ReadLine();
}
}
}
This is not much different from doing Task.Run(() => task.SetResult(msg)) inside ReceiverRun. The only advantage I can think of is that you have an explicit control over when to switch threads. This way, you can stay on the same thread for as long as possible (e.g., for task2, task3, task4, but you still need another thread switch after task4 to avoid a deadlock on task5.Wait()).
Both solutions would eventually make the thread pool grow, which is bad in terms of performance and scalability.
Now, if we replace task.Wait() with await task everywhere inside ProcessAsync in the above code, we will not have to use await Task.Yield and there still will be no deadlocks. However, the whole chain of await calls after the 1st await task1 inside ProcessAsync will actually be executed on the ReceiverRun thread. As long as we don't block this thread with other Wait()-style calls and don't do a lot of CPU-bound work as we're processing messages, this approach might work OK (asynchronous IO-bound await-style calls still should be OK, and they may actually trigger an implicit thread switch).
That said, I think you'd need a separate thread with a serializing synchronization context installed on it for processing messages (similar to WindowsFormsSynchronizationContext). That's where your asynchronous code containing awaits should run. You'd still need to avoid using Task.Wait on that thread. And if an individual message processing takes a lot of CPU-bound work, you should use Task.Run for such work. For async IO-bound calls, you could stay on the same thread.
You may want to look at ActionDispatcher/ActionDispatcherSynchronizationContext from #StephenCleary's
Nito Asynchronous Library for your asynchronous message processing logic. Hopefully, Stephen jumps in and provides a better answer.
"My assumption was that the second SendAwaitResponse would execute in a ThreadPool thread but it continues in the thread created for ReceiverRun."
It depends entirely on what you do within SendAwaitResponse. Asynchrony and concurrency are not the same thing.
Check out: C# 5 Async/Await - is it *concurrent*?
A little late to the party, but here's my solution which i think is added value.
I've been struggling with this also, i've solved it by capturing the SynchronizationContext on the method that is awaited.
It would look something like:
// just a default sync context
private readonly SynchronizationContext _defaultContext = new SynchronizationContext();
void ReceiverRun()
{
while (true) // <-- i would replace this with a cancellation token
{
var msg = ReadNextMessage();
TaskWithContext<TResult> task = requests[msg.RequestID];
// if it wasn't a winforms/wpf thread, it would be null
// we choose our default context (threadpool)
var context = task.Context ?? _defaultContext;
// execute it on the context which was captured where it was added. So it won't get completed on this thread.
context.Post(state =>
{
if (msg.Error == null)
task.TaskCompletionSource.SetResult(msg);
else
task.TaskCompletionSource.SetException(new Exception(msg.Error));
});
}
}
public static Task<Response> SendAwaitResponse(string msg)
{
// The key is here! Save the current synchronization context.
var t = new TaskWithContext<Response>(SynchronizationContext.Current);
requests.Add(GetID(msg), t);
stream.Write(msg);
return t.TaskCompletionSource.Task;
}
// class to hold a task and context
public class TaskWithContext<TResult>
{
public SynchronizationContext Context { get; }
public TaskCompletionSource<TResult> TaskCompletionSource { get; } = new TaskCompletionSource<Response>();
public TaskWithContext(SynchronizationContext context)
{
Context = context;
}
}

Multiple worker threads vs One worker with async/await

My code currently has the following 10 worker threads. Each worker thread continues polling a job from the queue and then process the long running job.
for (int k=0; k<10; k++)
{
Task.Factory.StartNew(() => DoPollingThenWork(), TaskCreationOptions.LongRunning);
}
void DoPollingThenWork()
{
while (true)
{
var msg = Poll();
if (msg != null)
{
Thread.Sleep(3000); // process the I/O bound job
}
}
}
I am refactoring the underlying code to use async/await pattern. I think I can rewrite the above code to the followings. It uses one main thread that keeps creating the async task, and use SemaphoreSlim to throttle the number of concurrent tasks to 10.
Task.Factory.StartNew(() => WorkerMainAsync(), TaskCreationOptions.LongRunning);
async Task WorkerMainAsync()
{
SemaphoreSlim ss = new SemaphoreSlim(10);
while (true)
{
await ss.WaitAsync();
Task.Run(async () =>
{
await DoPollingThenWorkAsync();
ss.Release();
});
}
}
async Task DoPollingThenWorkAsync()
{
var msg = Poll();
if (msg != null)
{
await Task.Delay(3000); // process the I/O-bound job
}
}
Both should behave the same. But I think the second options seems better because it doesn't block the thread. But the downside is I can't do Wait (to gracefully stop the task) since the task is like fire and forget. Is the second option the right way to replace the traditional worker threads pattern?
When you have code that's asynchronous, you usually have no reason to use Task.Run() (or, even worse, Task.Factory.StartNew()). This means that you can change your code to something like this:
await WorkerMainAsync();
async Task WorkerMainAsync()
{
SemaphoreSlim ss = new SemaphoreSlim(10);
while (true)
{
await ss.WaitAsync();
// you should probably store this task somewhere and then await it
var task = DoPollingThenWorkAsync();
}
}
async Task DoPollingThenWorkAsync(SemaphoreSlim semaphore)
{
var msg = Poll();
if (msg != null)
{
await Task.Delay(3000); // process the I/O-bound job
}
// this assumes you don't have to worry about exceptions
// otherwise consider try-finally
semaphore.Release();
}
Usually you don't use async/await inside a CPU-bound task. The method that starts such a task (WorkerMainAsync) can use async/await, but you should be tracking pending tasks:
async Task WorkerMainAsync()
{
SemaphoreSlim ss = new SemaphoreSlim(10);
List<Task> trackedTasks = new List<Task>();
while (DoMore())
{
await ss.WaitAsync();
trackedTasks.Add(Task.Run(() =>
{
DoPollingThenWorkAsync();
ss.Release();
}));
}
await Task.WhenAll(trackedTasks);
}
void DoPollingThenWorkAsync()
{
var msg = Poll();
if (msg != null)
{
Thread.Sleep(2000); // process the long running CPU-bound job
}
}
Another exercise would be to remove tasks from trackedTasks as they are finishing. For example, you could use ContinueWith to remove a finished tasks (in this case, remember to use lock to protect trackedTasks from simultaneous access).
If you really need to use await inside DoPollingThenWorkAsync, the code wouldn't change a lot:
trackedTasks.Add(Task.Run(async () =>
{
await DoPollingThenWorkAsync();
ss.Release();
}));
Note that in this case, you'd be dealing with a nested task here for the async lambda, which Task.Run will automatically unwrap for you.

Cancel Long Running task [duplicate]

In a thread, I create some System.Threading.Task and start each task.
When I do a .Abort() to kill the thread, the tasks are not aborted.
How can I transmit the .Abort() to my tasks ?
You can't. Tasks use background threads from the thread pool. Also canceling threads using the Abort method is not recommended. You may take a look at the following blog post which explains a proper way of canceling tasks using cancellation tokens. Here's an example:
class Program
{
static void Main()
{
var ts = new CancellationTokenSource();
CancellationToken ct = ts.Token;
Task.Factory.StartNew(() =>
{
while (true)
{
// do some heavy work here
Thread.Sleep(100);
if (ct.IsCancellationRequested)
{
// another thread decided to cancel
Console.WriteLine("task canceled");
break;
}
}
}, ct);
// Simulate waiting 3s for the task to complete
Thread.Sleep(3000);
// Can't wait anymore => cancel this task
ts.Cancel();
Console.ReadLine();
}
}
Like this post suggests, this can be done in the following way:
int Foo(CancellationToken token)
{
Thread t = Thread.CurrentThread;
using (token.Register(t.Abort))
{
// compute-bound work here
}
}
Although it works, it's not recommended to use such approach. If you can control the code that executes in task, you'd better go with proper handling of cancellation.
Aborting a Task is easily possible if you capture the thread in which the task is running in. Here is an example code to demonstrate this:
void Main()
{
Thread thread = null;
Task t = Task.Run(() =>
{
//Capture the thread
thread = Thread.CurrentThread;
//Simulate work (usually from 3rd party code)
Thread.Sleep(1000);
//If you comment out thread.Abort(), then this will be displayed
Console.WriteLine("Task finished!");
});
//This is needed in the example to avoid thread being still NULL
Thread.Sleep(10);
//Cancel the task by aborting the thread
thread.Abort();
}
I used Task.Run() to show the most common use-case for this - using the comfort of Tasks with old single-threaded code, which does not use the CancellationTokenSource class to determine if it should be canceled or not.
This sort of thing is one of the logistical reasons why Abort is deprecated. First and foremost, do not use Thread.Abort() to cancel or stop a thread if at all possible. Abort() should only be used to forcefully kill a thread that is not responding to more peaceful requests to stop in a timely fashion.
That being said, you need to provide a shared cancellation indicator that one thread sets and waits while the other thread periodically checks and gracefully exits. .NET 4 includes a structure designed specifically for this purpose, the CancellationToken.
I use a mixed approach to cancel a task.
Firstly, I'm trying to Cancel it politely with using the Cancellation.
If it's still running (e.g. due to a developer's mistake), then misbehave and kill it using an old-school Abort method.
Checkout an example below:
private CancellationTokenSource taskToken;
private AutoResetEvent awaitReplyOnRequestEvent = new AutoResetEvent(false);
void Main()
{
// Start a task which is doing nothing but sleeps 1s
LaunchTaskAsync();
Thread.Sleep(100);
// Stop the task
StopTask();
}
/// <summary>
/// Launch task in a new thread
/// </summary>
void LaunchTaskAsync()
{
taskToken = new CancellationTokenSource();
Task.Factory.StartNew(() =>
{
try
{ //Capture the thread
runningTaskThread = Thread.CurrentThread;
// Run the task
if (taskToken.IsCancellationRequested || !awaitReplyOnRequestEvent.WaitOne(10000))
return;
Console.WriteLine("Task finished!");
}
catch (Exception exc)
{
// Handle exception
}
}, taskToken.Token);
}
/// <summary>
/// Stop running task
/// </summary>
void StopTask()
{
// Attempt to cancel the task politely
if (taskToken != null)
{
if (taskToken.IsCancellationRequested)
return;
else
taskToken.Cancel();
}
// Notify a waiting thread that an event has occurred
if (awaitReplyOnRequestEvent != null)
awaitReplyOnRequestEvent.Set();
// If 1 sec later the task is still running, kill it cruelly
if (runningTaskThread != null)
{
try
{
runningTaskThread.Join(TimeSpan.FromSeconds(1));
}
catch (Exception ex)
{
runningTaskThread.Abort();
}
}
}
To answer Prerak K's question about how to use CancellationTokens when not using an anonymous method in Task.Factory.StartNew(), you pass the CancellationToken as a parameter into the method you're starting with StartNew(), as shown in the MSDN example here.
e.g.
var tokenSource = new CancellationTokenSource();
var token = tokenSource.Token;
Task.Factory.StartNew( () => DoSomeWork(1, token), token);
static void DoSomeWork(int taskNum, CancellationToken ct)
{
// Do work here, checking and acting on ct.IsCancellationRequested where applicable,
}
You should not try to do this directly. Design your tasks to work with a CancellationToken, and cancel them this way.
In addition, I would recommend changing your main thread to function via a CancellationToken as well. Calling Thread.Abort() is a bad idea - it can lead to various problems that are very difficult to diagnose. Instead, that thread can use the same Cancellation that your tasks use - and the same CancellationTokenSource can be used to trigger the cancellation of all of your tasks and your main thread.
This will lead to a far simpler, and safer, design.
Tasks have first class support for cancellation via cancellation tokens. Create your tasks with cancellation tokens, and cancel the tasks via these explicitly.
You can use a CancellationToken to control whether the task gets cancelled. Are you talking about aborting it before it's started ("nevermind, I already did this"), or actually interrupting it in middle? If the former, the CancellationToken can be helpful; if the latter, you will probably need to implement your own "bail out" mechanism and check at appropriate points in the task execution whether you should fail fast (you can still use the CancellationToken to help you, but it's a little more manual).
MSDN has an article about cancelling Tasks:
http://msdn.microsoft.com/en-us/library/dd997396.aspx
Task are being executed on the ThreadPool (at least, if you are using the default factory), so aborting the thread cannot affect the tasks. For aborting tasks, see Task Cancellation on msdn.
I tried CancellationTokenSource but i can't do this. And i did do this with my own way. And it works.
namespace Blokick.Provider
{
public class SignalRConnectProvider
{
public SignalRConnectProvider()
{
}
public bool IsStopRequested { get; set; } = false; //1-)This is important and default `false`.
public async Task<string> ConnectTab()
{
string messageText = "";
for (int count = 1; count < 20; count++)
{
if (count == 1)
{
//Do stuff.
}
try
{
//Do stuff.
}
catch (Exception ex)
{
//Do stuff.
}
if (IsStopRequested) //3-)This is important. The control of the task stopping request. Must be true and in inside.
{
return messageText = "Task stopped."; //4-) And so return and exit the code and task.
}
if (Connected)
{
//Do stuff.
}
if (count == 19)
{
//Do stuff.
}
}
return messageText;
}
}
}
And another class of the calling the method:
namespace Blokick.Views
{
[XamlCompilation(XamlCompilationOptions.Compile)]
public partial class MessagePerson : ContentPage
{
SignalRConnectProvider signalR = new SignalRConnectProvider();
public MessagePerson()
{
InitializeComponent();
signalR.IsStopRequested = true; // 2-) And this. Make true if running the task and go inside if statement of the IsStopRequested property.
if (signalR.ChatHubProxy != null)
{
signalR.Disconnect();
}
LoadSignalRMessage();
}
}
}
You can abort a task like a thread if you can cause the task to be created on its own thread and call Abort on its Thread object. By default, a task runs on a thread pool thread or the calling thread - neither of which you typically want to abort.
To ensure the task gets its own thread, create a custom scheduler derived from TaskScheduler. In your implementation of QueueTask, create a new thread and use it to execute the task. Later, you can abort the thread, which will cause the task to complete in a faulted state with a ThreadAbortException.
Use this task scheduler:
class SingleThreadTaskScheduler : TaskScheduler
{
public Thread TaskThread { get; private set; }
protected override void QueueTask(Task task)
{
TaskThread = new Thread(() => TryExecuteTask(task));
TaskThread.Start();
}
protected override IEnumerable<Task> GetScheduledTasks() => throw new NotSupportedException(); // Unused
protected override bool TryExecuteTaskInline(Task task, bool taskWasPreviouslyQueued) => throw new NotSupportedException(); // Unused
}
Start your task like this:
var scheduler = new SingleThreadTaskScheduler();
var task = Task.Factory.StartNew(action, cancellationToken, TaskCreationOptions.LongRunning, scheduler);
Later, you can abort with:
scheduler.TaskThread.Abort();
Note that the caveat about aborting a thread still applies:
The Thread.Abort method should be used with caution. Particularly when you call it to abort a thread other than the current thread, you do not know what code has executed or failed to execute when the ThreadAbortException is thrown, nor can you be certain of the state of your application or any application and user state that it is responsible for preserving. For example, calling Thread.Abort may prevent static constructors from executing or prevent the release of unmanaged resources.
You can use this class..:
It works for all typs of returned Values..
using System;
using System.Collections.Generic;
using System.Threading;
using System.Threading.Tasks;
namespace CarNUChargeTester
{
public class TimeOutTaskRunner<T>
{
private Func<T> func;
private int sec;
private T result;
public TimeOutTaskRunner(Func<T> func, int sec)
{
this.func = func;
this.sec = sec;
}
public bool run()
{
var scheduler = new SingleThreadTaskScheduler();
Task<T> task = Task<T>.Factory.StartNew(func, (new CancellationTokenSource()).Token, TaskCreationOptions.LongRunning, scheduler);
if (!task.Wait(TimeSpan.FromSeconds(sec)))
{
scheduler.TaskThread.Abort();
return false;
}
result = task.Result;
return true;
}
public T getResult() { return result; }
}
class SingleThreadTaskScheduler : TaskScheduler
{
public Thread TaskThread { get; private set; }
protected override void QueueTask(Task task)
{
TaskThread = new Thread(() => TryExecuteTask(task));
TaskThread.Start();
}
protected override IEnumerable<Task> GetScheduledTasks() => throw new NotSupportedException();
protected override bool TryExecuteTaskInline(Task task, bool taskWasPreviouslyQueued) => throw new NotSupportedException();
}
}
To use it you can write:
TimeOutTaskRunner<string> tr = new TimeOutTaskRunner<string>(f, 10); // 10 sec to run f
if (!tr.run())
errorMsg("TimeOut"); !! My func
tr.getResult() // get the results if it done without timeout..

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