I do have kind of endless loop where I do some operations. I would like to be able to cancell current opration with specific reason. However I cannot find a solution to cancell task with a paremetr.
private async void ProcessAsync()
{
while (true)
{
try
{
var result = await Task<object>.Run(async () =>
{
await Task.Delay(10000);
await Task.Delay(10000);
return new object();
}, _cts.Token);
}
catch (OperationCanceledException)
{
}
//catch (AnyOtherException)
//{
//
//}
}
}
Whenever I want to cancell task I call CancellationTokenSource.Cancel() method. The method does not accept any arguemnts. All I can do is to catch OperationCanceledException.
Is it another way to solve that or another way to achive what I want?
Related
I have a console app,
{
StartThread();
//must be true, windows system wants to know it is started
return true;
}
I'm trying to create a safety timeout function for this Task. But the task keeps running...
The method DoSomething calls other async methods and awaits their result
Do anyone have an idea why my task don't stop? Maybe a good code example on what to do
public async void StartThread()
{
var tokenSource = new CancellationTokenSource();
var token = tokenSource.Token;
try
{
var timeout = 1000;
Task task = new Task(() => DoSomething(token), token);
task.Start();
if (await Task.WhenAny(task, Task.Delay(timeout, token)) == task)
{
if (token.IsCancellationRequested)
task.Dispose();
await task;
if (task.IsCompleted)
{
task.Dispose();
tokenSource.Cancel();
tokenSource.Dispose();
}
else
{
log.WriteToFile("Timeout_ ");
}
}
else
tokenSource.Cancel();
}
catch (Exception e)
{
Console.WriteLine("--StartThread ...there is an exception----");
}
finally
{
Thread.Sleep(300000); // 5 minutter
StartThread();
}
}
While not create CancellationTokenSource from given timeout?
var timeout = 1000;
//DONE: don't forget to dispose CancellationTokenSource instance
using (var tokenSource = new CancellationTokenSource(timeout)) {
try {
var token = tokenSource.Token;
//TODO: May be you'll want to add .ConfigureAwait(false);
Task task = Task.Run(() => DoSomething(token), token);
await task;
// Completed
}
catch (TaskCanceledException) {
// Cancelled due to timeout
log.WriteToFile("Timeout_ ");
}
catch (Exception e) {
// Failed to complete due to e exception
Console.WriteLine("--StartThread ...there is an exception----");
//DONE: let's be nice and don't swallow the exception
throw;
}
}
You should hardly ever Dispose a Task, since iot is managed by C# internals and it is taken care of. Also, you Dispose way too eagerly, for example:
if (token.IsCancellationRequested)
task.Dispose();
await task;
I do not think so you want still await task if it cancelled and disposed. I guess it will not work at all.
Also if you use async, do not mix blocking calls such as Thread.Sleep - that can lead to disaster...
After all, you use cancellation token with some delay task to imitate a timeout - that's OK, but why do put unnecessary code, when you have great API at hand. Just make use of special contructor of CancellationTokenSource:
public CancellationTokenSource (int millisecondsDelay);
Here's the docs
After a timeout you are setting the CancellationToken and then immediately sleeping the thread for 5 minutes. Thus DoSomething() never gets a chance to continue running and react to the token being cancelled.
I have a question about the syncronisation between loading resources async and keeping the selected element to the correct loaded resource. To be pricise I have a listview with users and one panel with his profile. If I choose that user, the user is loaded from an webservice and after that his data are shown in that profile-panel. Loading a user can be a very expensive operation (time) so I tried so make that loading async to prevent to block the whole UI-thread. I wrote in the ItemChange-Event something like this->
ItemChangeEvent(){
Task.Factory.StartNew(()=>{
.. load profile from Server
this.Dispatcher.Invoke(.. some UI changes);
});
}
Now it sometimes happens, that the user I selected in that listview, is not the user which is shown on the profile. My guess is, that any of the task is delayed and pushed his content after the "correct" user-profile task is finished. So how can I achieve that the loading is async but syncronisation with the current-selected-item?
You could add a CancellationTokenSource in the outer scope, and store the CancellationToken in a local variable inside the event handler. Ideally this token should be passed and used by the method that fetches the profile from the remote server, to avoid having ongoing tasks fetching data that are no longer needed.
Also instead of using the awkward Dispatcher.Invoke for switching back to the UI thread, you could take advantage of the modern and neat async-await approach. The code after await continues automatically in the UI thread, without having to do anything special beyond adding the keyword async in the event handler:
private CancellationTokenSource _itemChangeTokenSource;
private async void ListView1_ItemChange(object sender, EventArgs e)
{
_itemChangeTokenSource?.Cancel();
_itemChangeTokenSource = new CancellationTokenSource();
CancellationToken token = _itemChangeTokenSource.Token;
var id = GetSelectedId(ListView1);
Profile profile;
try
{
profile = await Task.Run(() =>
{
return GetProfile(id, token); // Expensive operation
}, token);
token.ThrowIfCancellationRequested();
}
catch (OperationCanceledException)
{
return; // Nothing to do, this event was canceled
}
UpdatePanel(profile);
}
It would be even more ideal if the expensive operation could become asynchronous. This way you would avoid blocking a ThreadPool thread every time the user clicked on the ListView control.
profile = await Task.Run(async () =>
{
return await GetProfileAsync(id, token); // Expensive asynchronous operation
}, token);
Update: I made an attempt to encapsulate the cancellation-related logic inside a class, so that the same functionality can be achieved with fewer lines of code. It may be tempting to reduce this code in case it is repeated multiple times in the same window, or in multiple windows. The class is named CancelableExecution, and has a single method Run which accepts the cancelable operation in the form of a Func<CancellationToken, T> parameter.
Here is a usage example of this class:
private CancelableExecution _updatePanelCancelableExecution = new CancelableExecution();
private async void ListView1_ItemChange(object sender, EventArgs e)
{
var id = GetSelectedId(ListView1);
if (await _updatePanelCancelableExecution.Run(cancellationToken =>
{
return GetProfile(id, cancellationToken); // Expensive operation
}, out var profile))
{
UpdatePanel(await profile);
}
}
The Run method returns a Task<bool>, that has the value true if the operation was completed successfully (not canceled). The result of a successful operation is available via an out Task<T> parameter. This API makes for less code, but also for less readable code, so use this class with caution!
public class CancelableExecution
{
private CancellationTokenSource _activeTokenSource;
public Task<bool> RunAsync<T>(Func<CancellationToken, Task<T>> function,
out Task<T> result)
{
var tokenSource = new CancellationTokenSource();
var token = tokenSource.Token;
var resultTcs = new TaskCompletionSource<T>(
TaskCreationOptions.RunContinuationsAsynchronously);
result = resultTcs.Task;
return ((Func<Task<bool>>)(async () =>
{
try
{
var oldTokenSource = Interlocked.Exchange(ref _activeTokenSource,
tokenSource);
if (oldTokenSource != null)
{
await Task.Run(() =>
{
oldTokenSource.Cancel(); // Potentially expensive
}).ConfigureAwait(false);
token.ThrowIfCancellationRequested();
}
var task = function(token);
var result = await task.ConfigureAwait(false);
token.ThrowIfCancellationRequested();
resultTcs.SetResult(result);
return true;
}
catch (OperationCanceledException ex) when (ex.CancellationToken == token)
{
resultTcs.SetCanceled();
return false;
}
catch (Exception ex)
{
resultTcs.SetException(ex);
throw;
}
finally
{
if (Interlocked.CompareExchange(
ref _activeTokenSource, null, tokenSource) == tokenSource)
{
tokenSource.Dispose();
}
}
}))();
}
public Task<bool> RunAsync<T>(Func<Task<T>> function, out Task<T> result)
{
return RunAsync(ct => function(), out result);
}
public Task<bool> Run<T>(Func<CancellationToken, T> function, out Task<T> result)
{
return RunAsync(ct => Task.Run(() => function(ct), ct), out result);
}
public Task<bool> Run<T>(Func<T> function, out Task<T> result)
{
return RunAsync(ct => Task.Run(() => function(), ct), out result);
}
}
I'd suggest you use CancellationToken to cancel previous load task once other user is selected. This can be achieved in few steps:
Create instance field CancellationTokenSource _tokenSource
change your handler:
ItemChangeEvent(){
// first, try to cancel previous event
_tokenSource?.Cancel();
// then, update token source; previous object will be collected eventually
_tokenSource = new CancellationTokenSource();
// finally, add cancellation token from token source to task creation
Task.Factory.StartNew(()=>{
.. load profile from Server
this.Dispatcher.Invoke(.. some UI changes);
}, _tokenSource.Token);
}
I have code which calls an external lib synchronous operation, which can take a very long time to finish. I can't rewrite this lib, and there is not a method to stop the operation. Is there any solution to stop this task after some timeout?
I have tried this code, but it does not work not as I expected. It awaits until the calculation is not completed.
How can I solve this task?
private static async Task<ResultData> GetResultAsync(string fileName)
{
var timeoutSource = new CancellationTokenSource(new TimeSpan(0, 5, 0));
try
{
return await Task.Run(() =>
{
var result = ExternLib.Calculate(fileName);
if (result == null)
{
throw new CalculationException(fileName);
}
return result;
},
timeoutSource.Token
).ConfigureAwait(false);
}
catch (AggregateException e)
{
SomeCode(e);
}
catch (OperationCanceledException e)
{
SomeCode2(e);
}
catch (Exception e)
{
SomeCode3(e);
}
return await Task.FromResult<ResultData>(null).ConfigureAwait(false);
}
Create two tasks, one which does the work, and one which acts as a timer:
var workTask = Task.Run(() => // etc );
var timerTask = Task.Delay(TimeSpan.FromMinutes(10));
The wait for either task to complete:
var completedTask = Task.WaitAny(new[] { workTask, timerTask });
Then, if completedTask is the timer task, your timeout has expired, and you can take appropriate action: whether or not you can stop the long running task depends on how it's structured, but you do know you can stop waiting for it.
Is what I'm doing below the correct/best way to accomplish this?
I have a window with a timer. Each time the timer ticks, I call the RunTask method shown below. Within RunTask, I call DoTheThing. DoTheThing may take a while to run, and may fail (it's a database update). I want to make sure that at any point in time, I only have one DoTheThing outstanding. I also want to make sure that I don't have a bunch of RunTask instances all queued and waiting for a lock to be released by the RunTask instance that is running DoTheThing.
public void RunTask()
{
bool canRunTask = true;
// Check if another instance of this method is currently executing. If so, do not execute the rest of this method
lock (this.runTaskLock)
{
if (this.isTaskRunning)
{
canRunTask = false;
}
else
{
this.isTaskRunning = true;
}
}
// Call DoTheThing if another instance is not currently outstanding
if (canRunTask)
{
try
{
Task task = new Task(() => DoTheThing());
task.Start();
}
catch (Exception ex)
{
// Handle the exception
}
finally
{
lock (this.runTaskLock)
{
this.isTaskRunning = false;
}
}
}
}
Because of the architecture of the program, I would rather put all of my thread synchronization within this method instead of enabling and disabling the timer.
By thinking about the problem slightly differently, it becomes a lot easier. Instead of firing a timer every x seconds, why not wait x seconds between invocations?
Now you can just run an async loop to do the scheduled work and save yourself a bunch of painful synchronization work.
async Task RunActionPeriodicallyAsync(Action action,
TimeSpan ts,
CancellationToken token = default(CancellationToken))
{
while(!token.IsCancellationRequested)
{
action();
await Task.Delay(ts, token);
//or alternatively (see comment below)
//var delayTask = Task.Delay(ts, token);
//action();
//await delayTask;
}
}
Now, just call RunActionPeriodicallyAsync once, and calls to its action will never overlap.
RunActionPeriodicallyAsync(() => DoSomething(), TimeSpan.FromSeconds(10))
You could overload this to take an async "action"... actually a Func<Task>...
async Task RunActionPeriodicallyAsync(Func<CancellationToken, Task> actionAsync,
TimeSpan ts,
CancellationToken token = default(CancellationToken))
{
while(!token.IsCancellationRequested)
{
await actionAsync(token);
await Task.Delay(ts, token);
//or alternatively (see comment below)
//await Task.WhenAll(actionAsync(token), Task.Delay(ts, token))
}
}
and use it:
RunActionPeriodicallyAsync(async cancTok => await DoSomethingAsync(cancTok),
TimeSpan.FromSeconds(10))
If you are worried about too much locking, you can do the following. You might miss a run if one task completes while the other is just at the check (marked), but you got rid of some locking and you will only need to lock when you set isTaskRunnung = true.
In Addition you need to mark your method as async so you can await the task.
public async Task RunTask()
{
bool canRunTask = true;
// Check if another instance of this method is currently executing. If so, do not execute the rest of this method
if (this.isTaskRunning)
{ // <-- ___MARK___
canRunTask = false;
}
else
{
lock (this.runTaskLock)
{
if (this.isTaskRunning)
{
canRunTask = false;
}
else
{
this.isTaskRunning = true;
}
}
}
// Call DoTheThing if another instance is not currently outstanding
if (canRunTask)
{
try
{
await Task.Run(() => DoTheThing());
}
catch (Exception ex)
{
// Handle the exception
}
finally
{
this.isTaskRunning = false;
}
}
}
I have a doubt with cancellation token source which I am using as shown in the below code:
void Process()
{
//for the sake of simplicity I am taking 1, in original implementation it is more than 1
var cancellationToken = _cancellationTokenSource.Token;
Task[] tArray = new Task[1];
tArray[0] = Task.Factory.StartNew(() =>
{
cancellationToken.ThrowIfCancellationRequested();
//do some work here
MainTaskRoutine();
}, cancellationToken);
try
{
Task.WaitAll(tArray);
}
catch (Exception ex)
{
//do error handling here
}
}
void MainTaskRoutine()
{
//for the sake of simplicity I am taking 1, in original implementation it is more than 1
//this method shows that a nested task is created
var cancellationToken = _cancellationTokenSource.Token;
Task[] tArray = new Task[1];
tArray[0] = Task.Factory.StartNew(() =>
{
cancellationToken.ThrowIfCancellationRequested();
//do some work here
}, cancellationToken);
try
{
Task.WaitAll(tArray);
}
catch (Exception ex)
{
//do error handling here
}
}
Edit: further elaboration
End objective is: when a user cancels the operation, all the immediate pending tasks(either children or grand children) should cancel.
Scenario:
As per above code:
1. I first check whether user has asked for cancellation
2. If user has not asked for cancellation then only continue with the task (Please see Process method).
sample code shows only one task here but actually there can be three or more
Lets say that CPU started processing Task1 while other tasks are still in the Task queue waiting for some CPU to come and execute them.
User requests cancellation: Task 2,3 in Process method are immediately cancelled, but Task 1 will continue to work since it is already undergoing processing.
In Task 1 it calls method MainTaskRoutine, which in turn creates more tasks.
In the function of MainTaskRoutine I have written: cancellationToken.ThrowIfCancellationRequested();
So the question is: is it correct way of using CancellationTokenSource as it is dependent on Task.WaitAll()?
[EDITED] As you use an array in your code, I assume there could be multiple tasks, not just one. I also assume that within each task that you're starting from Process you want to do some CPU-bound work first (//do some work here), and then run MainTaskRoutine.
How you handle task cancellation exceptions is determined by your project design workflow. E.g., you could do it inside Process method, or from where you call Process. If your only concern is to remove Task objects from the array where you keep track of the pending tasks, this can be done using Task.ContinueWith. The continuation will be executed regardless of the task's completion status (Cancelled, Faulted or RanToCompletion):
Task Process(CancellationToken cancellationToken)
{
var tArray = new List<Task>();
var tArrayLock = new Object();
var task = Task.Run(() =>
{
cancellationToken.ThrowIfCancellationRequested();
//do some work here
return MainTaskRoutine(cancellationToken);
}, cancellationToken);
// add the task to the array,
// use lock as we may remove tasks from this array on a different thread
lock (tArrayLock)
tArray.Add(task);
task.ContinueWith((antecedentTask) =>
{
if (antecedentTask.IsCanceled || antecedentTask.IsFaulted)
{
// handle cancellation or exception inside the task
// ...
}
// remove task from the array,
// could be on a different thread from the Process's thread, use lock
lock (tArrayLock)
tArray.Remove(antecedentTask);
}, TaskContinuationOptions.ExecuteSynchronously);
// add more tasks like the above
// ...
// Return aggregated task
Task[] allTasks = null;
lock (tArrayLock)
allTasks = tArray.ToArray();
return Task.WhenAll(allTasks);
}
Your MainTaskRoutine can be structured in exactly the same way as Process, and have the same method signature (return a Task).
Then you may want to perform a blocking wait on the aggregated task returned by Process, or handle its completion asynchronously, e.g:
// handle the completion asynchronously with a blocking wait
void RunProcessSync()
{
try
{
Process(_cancellationTokenSource.Token).Wait();
MessageBox.Show("Process complete");
}
catch (Exception e)
{
MessageBox.Show("Process cancelled (or faulted): " + e.Message);
}
}
// handle the completion asynchronously using ContinueWith
Task RunProcessAync()
{
return Process(_cancellationTokenSource.Token).ContinueWith((task) =>
{
// check task.Status here
MessageBox.Show("Process complete (or cancelled, or faulted)");
}, TaskScheduler.FromCurrentSynchronizationContext());
}
// handle the completion asynchronously with async/await
async Task RunProcessAync()
{
try
{
await Process(_cancellationTokenSource.Token);
MessageBox.Show("Process complete");
}
catch (Exception e)
{
MessageBox.Show("Process cancelled (or faulted): " + e.Message);
}
}
After doing some research I found this link.
The code now looks like this:
see the usage of CancellationTokenSource.CreateLinkedTokenSource in below code
void Process()
{
//for the sake of simplicity I am taking 1, in original implementation it is more than 1
var cancellationToken = _cancellationTokenSource.Token;
Task[] tArray = new Task[1];
tArray[0] = Task.Factory.StartNew(() =>
{
cancellationToken.ThrowIfCancellationRequested();
//do some work here
MainTaskRoutine(cancellationToken);
}, cancellationToken);
try
{
Task.WaitAll(tArray);
}
catch (Exception ex)
{
//do error handling here
}
}
void MainTaskRoutine(CancellationToken cancellationToken)
{
//for the sake of simplicity I am taking 1, in original implementation it is more than 1
//this method shows that a nested task is created
using (var cancellationTokenSource = CancellationTokenSource.CreateLinkedTokenSource(cancellationToken))
{
var cancelToken = cancellationTokenSource.Token;
Task[] tArray = new Task[1];
tArray[0] = Task.Factory.StartNew(() =>
{
cancelToken.ThrowIfCancellationRequested();
//do some work here
}, cancelToken);
try
{
Task.WaitAll(tArray);
}
catch (Exception ex)
{
//do error handling here
}
}
}
Note: I haven't used it, but I will let You know once it is done :)