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How can I make a interrupt in C#? [duplicate]

I understand Thread.Abort() is evil from the multitude of articles I've read on the topic, so I'm currently in the process of ripping out all of my abort's in order to replace it for a cleaner way; and after comparing user strategies from people here on stackoverflow and then after reading "How to: Create and Terminate Threads (C# Programming Guide)" from MSDN both which state an approach very much the same -- which is to use a volatile bool approach checking strategy, which is nice, but I still have a few questions....
Immediately what stands out to me here, is what if you do not have a simple worker process which is just running a loop of crunching code? For instance for me, my process is a background file uploader process, I do in fact loop through each file, so that's something, and sure I could add my while (!_shouldStop) at the top which covers me every loop iteration, but I have many more business processes which occur before it hits it's next loop iteration, I want this cancel procedure to be snappy; don't tell me I need to sprinkle these while loops every 4-5 lines down throughout my entire worker function?!
I really hope there is a better way, could somebody please advise me on if this is in fact, the correct [and only?] approach to do this, or strategies they have used in the past to achieve what I am after.
Thanks gang.
Further reading: All these SO responses assume the worker thread will loop. That doesn't sit comfortably with me. What if it is a linear, but timely background operation?

Unfortunately there may not be a better option. It really depends on your specific scenario. The idea is to stop the thread gracefully at safe points. That is the crux of the reason why Thread.Abort is not good; because it is not guaranteed to occur at safe points. By sprinkling the code with a stopping mechanism you are effectively manually defining the safe points. This is called cooperative cancellation. There are basically 4 broad mechanisms for doing this. You can choose the one that best fits your situation.
Poll a stopping flag
You have already mentioned this method. This a pretty common one. Make periodic checks of the flag at safe points in your algorithm and bail out when it gets signalled. The standard approach is to mark the variable volatile. If that is not possible or inconvenient then you can use a lock. Remember, you cannot mark a local variable as volatile so if a lambda expression captures it through a closure, for example, then you would have to resort to a different method for creating the memory barrier that is required. There is not a whole lot else that needs to be said for this method.
Use the new cancellation mechanisms in the TPL
This is similar to polling a stopping flag except that it uses the new cancellation data structures in the TPL. It is still based on cooperative cancellation patterns. You need to get a CancellationToken and the periodically check IsCancellationRequested. To request cancellation you would call Cancel on the CancellationTokenSource that originally provided the token. There is a lot you can do with the new cancellation mechanisms. You can read more about here.
Use wait handles
This method can be useful if your worker thread requires waiting on an specific interval or for a signal during its normal operation. You can Set a ManualResetEvent, for example, to let the thread know it is time to stop. You can test the event using the WaitOne function which returns a bool indicating whether the event was signalled. The WaitOne takes a parameter that specifies how much time to wait for the call to return if the event was not signaled in that amount of time. You can use this technique in place of Thread.Sleep and get the stopping indication at the same time. It is also useful if there are other WaitHandle instances that the thread may have to wait on. You can call WaitHandle.WaitAny to wait on any event (including the stop event) all in one call. Using an event can be better than calling Thread.Interrupt since you have more control over of the flow of the program (Thread.Interrupt throws an exception so you would have to strategically place the try-catch blocks to perform any necessary cleanup).
Specialized scenarios
There are several one-off scenarios that have very specialized stopping mechanisms. It is definitely outside the scope of this answer to enumerate them all (never mind that it would be nearly impossible). A good example of what I mean here is the Socket class. If the thread is blocked on a call to Send or Receive then calling Close will interrupt the socket on whatever blocking call it was in effectively unblocking it. I am sure there are several other areas in the BCL where similiar techniques can be used to unblock a thread.
Interrupt the thread via Thread.Interrupt
The advantage here is that it is simple and you do not have to focus on sprinkling your code with anything really. The disadvantage is that you have little control over where the safe points are in your algorithm. The reason is because Thread.Interrupt works by injecting an exception inside one of the canned BCL blocking calls. These include Thread.Sleep, WaitHandle.WaitOne, Thread.Join, etc. So you have to be wise about where you place them. However, most the time the algorithm dictates where they go and that is usually fine anyway especially if your algorithm spends most of its time in one of these blocking calls. If you algorithm does not use one of the blocking calls in the BCL then this method will not work for you. The theory here is that the ThreadInterruptException is only generated from .NET waiting call so it is likely at a safe point. At the very least you know that the thread cannot be in unmanaged code or bail out of a critical section leaving a dangling lock in an acquired state. Despite this being less invasive than Thread.Abort I still discourage its use because it is not obvious which calls respond to it and many developers will be unfamiliar with its nuances.

Well, unfortunately in multithreading you often have to compromise "snappiness" for cleanliness... you can exit a thread immediately if you Interrupt it, but it won't be very clean. So no, you don't have to sprinkle the _shouldStop checks every 4-5 lines, but if you do interrupt your thread then you should handle the exception and exit out of the loop in a clean manner.
Update
Even if it's not a looping thread (i.e. perhaps it's a thread that performs some long-running asynchronous operation or some type of block for input operation), you can Interrupt it, but you should still catch the ThreadInterruptedException and exit the thread cleanly. I think that the examples you've been reading are very appropriate.
Update 2.0
Yes I have an example... I'll just show you an example based on the link you referenced:
public class InterruptExample
{
private Thread t;
private volatile boolean alive;
public InterruptExample()
{
alive = false;
t = new Thread(()=>
{
try
{
while (alive)
{
/* Do work. */
}
}
catch (ThreadInterruptedException exception)
{
/* Clean up. */
}
});
t.IsBackground = true;
}
public void Start()
{
alive = true;
t.Start();
}
public void Kill(int timeout = 0)
{
// somebody tells you to stop the thread
t.Interrupt();
// Optionally you can block the caller
// by making them wait until the thread exits.
// If they leave the default timeout,
// then they will not wait at all
t.Join(timeout);
}
}

If cancellation is a requirement of the thing you're building, then it should be treated with as much respect as the rest of your code--it may be something you have to design for.
Lets assume that your thread is doing one of two things at all times.
Something CPU bound
Waiting for the kernel
If you're CPU bound in the thread in question, you probably have a good spot to insert the bail-out check. If you're calling into someone else's code to do some long-running CPU-bound task, then you might need to fix the external code, move it out of process (aborting threads is evil, but aborting processes is well-defined and safe), etc.
If you're waiting for the kernel, then there's probably a handle (or fd, or mach port, ...) involved in the wait. Usually if you destroy the relevant handle, the kernel will return with some failure code immediately. If you're in .net/java/etc. you'll likely end up with an exception. In C, whatever code you already have in place to handle system call failures will propagate the error up to a meaningful part of your app. Either way, you break out of the low-level place fairly cleanly and in a very timely manner without needing new code sprinkled everywhere.
A tactic I often use with this kind of code is to keep track of a list of handles that need to be closed and then have my abort function set a "cancelled" flag and then close them. When the function fails it can check the flag and report failure due to cancellation rather than due to whatever the specific exception/errno was.
You seem to be implying that an acceptable granularity for cancellation is at the level of a service call. This is probably not good thinking--you are much better off cancelling the background work synchronously and joining the old background thread from the foreground thread. It's way cleaner becasue:
It avoids a class of race conditions when old bgwork threads come back to life after unexpected delays.
It avoids potential hidden thread/memory leaks caused by hanging background processes by making it possible for the effects of a hanging background thread to hide.
There are two reasons to be scared of this approach:
You don't think you can abort your own code in a timely fashion. If cancellation is a requirement of your app, the decision you really need to make is a resource/business decision: do a hack, or fix your problem cleanly.
You don't trust some code you're calling because it's out of your control. If you really don't trust it, consider moving it out-of-process. You get much better isolation from many kinds of risks, including this one, that way.

The best answer largely depends on what you're doing in the thread.
Like you said, most answers revolve around polling a shared boolean every couple lines. Even though you may not like it, this is often the simplest scheme. If you want to make your life easier, you can write a method like ThrowIfCancelled(), which throws some kind of exception if you're done. The purists will say this is (gasp) using exceptions for control flow, but then again cacelling is exceptional imo.
If you're doing IO operations (like network stuff), you may want to consider doing everything using async operations.
If you're doing a sequence of steps, you could use the IEnumerable trick to make a state machine. Example:
<
abstract class StateMachine : IDisposable
{
public abstract IEnumerable<object> Main();
public virtual void Dispose()
{
/// ... override with free-ing code ...
}
bool wasCancelled;
public bool Cancel()
{
// ... set wasCancelled using locking scheme of choice ...
}
public Thread Run()
{
var thread = new Thread(() =>
{
try
{
if(wasCancelled) return;
foreach(var x in Main())
{
if(wasCancelled) return;
}
}
finally { Dispose(); }
});
thread.Start()
}
}
class MyStateMachine : StateMachine
{
public override IEnumerabl<object> Main()
{
DoSomething();
yield return null;
DoSomethingElse();
yield return null;
}
}
// then call new MyStateMachine().Run() to run.
>
Overengineering? It depends how many state machines you use. If you just have 1, yes. If you have 100, then maybe not. Too tricky? Well, it depends. Another bonus of this approach is that it lets you (with minor modifications) move your operation into a Timer.tick callback and void threading altogether if it makes sense.
and do everything that blucz says too.

Perhaps the a piece of the problem is that you have such a long method / while loop. Whether or not you are having threading issues, you should break it down into smaller processing steps. Let's suppose those steps are Alpha(), Bravo(), Charlie() and Delta().
You could then do something like this:
public void MyBigBackgroundTask()
{
Action[] tasks = new Action[] { Alpha, Bravo, Charlie, Delta };
int workStepSize = 0;
while (!_shouldStop)
{
tasks[workStepSize++]();
workStepSize %= tasks.Length;
};
}
So yes it loops endlessly, but checks if it is time to stop between each business step.

You don't have to sprinkle while loops everywhere. The outer while loop just checks if it's been told to stop and if so doesn't make another iteration...
If you have a straight "go do something and close out" thread (no loops in it) then you just check the _shouldStop boolean either before or after each major spot inside the thread. That way you know whether it should continue on or bail out.
for example:
public void DoWork() {
RunSomeBigMethod();
if (_shouldStop){ return; }
RunSomeOtherBigMethod();
if (_shouldStop){ return; }
//....
}

Instead of adding a while loop where a loop doesn't otherwise belong, add something like if (_shouldStop) CleanupAndExit(); wherever it makes sense to do so. There's no need to check after every single operation or sprinkle the code all over with them. Instead, think of each check as a chance to exit the thread at that point and add them strategically with this in mind.

All these SO responses assume the worker thread will loop. That doesn't sit comfortably with me
There are not a lot of ways to make code take a long time. Looping is a pretty essential programming construct. Making code take a long time without looping takes a huge amount of statements. Hundreds of thousands.
Or calling some other code that is doing the looping for you. Yes, hard to make that code stop on demand. That just doesn't work.

subject.Dispose() vs subject.OnCompleted()

What's the difference between .Dispose() and .OnCompleted() call on a Subject ?
Usually i dispose subscription to stop listening an observable and complete a subject when it's no longer useful anywhere on the code,

According to the documentation of the Subject<T>.Dispose method:
Releases all resources used by the current instance of the Subject<T> class and unsubscribe all observers.
It seems that attempting to do anything with a Subject after disposing it, results to an ObjectDisposedException. You can't Subscribe to a disposed Subject for example. Any subscriptions that are active at the time the Subject is disposed, will be disposed too, and the unsubscribed observers will not receive OnCompleted notifications.
On the contrary a subject that has been completed by calling its OnCompleted method can still be subscribed at any time, in which case the subscribed observer will receive instantly an OnCompleted notification. Of course if the completed subject is one of the buffered types like the ReplaySubject, then the observers will receive a number of OnNext notifications before the final OnCompleted.
Personally I would consider calling Dispose to a ReplaySubject that is about to be discarded, in order to accelerate the recovery of the RAM used by its internal buffer. I am not sure if this would make any difference though, since the Dispose is generally supposed to release unmanaged resources, and the memory used by the buffer is most probably managed.

Usually i dispose subscription to stop listening an observable and complete a subject when it's no longer usefull[sic] anywhere on the code
I think you have those backwards. I'm not familiar with rx.net, but I do know the IDisposable and Observable patterns. IDisposable is used to release resources from an object when you are completely done with it and it's no longer useful. OnCompleted is for when you are done observing (the provider has finished sending notifications), even if the object might still have other uses.

There is a very important semantic difference between calling .Dispose() and .OnCompleted() on a subject.
Consider this code:
Subject<int> subject = new Subject<int>();
IObservable<int[]> query = subject.ToArray();
IDisposable subscription =
query
.Subscribe(xs => Console.WriteLine(String.Concat(xs)));
subject.OnNext(1);
subject.OnNext(2);
If I then call subject.OnCompleted() I get 12 written to the Console. If, however, I call subject.Dispose() then nothing gets printed.
Some operators, like .ToArray() in my example code, expect the .OnCompleted() call to produce any value.
It is important to understand what queries you are performing on the subject to know how to end it properly - there are situations where both ways are valid.
I feel, though, that you are doing the right things with disposing of subscriptions and completing subjects.

Does GC.SuppressFinalize keep an object rooted

In the reference source for Task.Delay() in .NET, I came across a snippet of code:
// ... and create our timer and make sure that it stays rooted.
if (millisecondsDelay != Timeout.Infinite) // no need to create the timer if it's an infinite timeout
{
promise.Timer = new Timer(state => ((DelayPromise)state).Complete(), promise, millisecondsDelay, Timeout.Infinite);
promise.Timer.KeepRootedWhileScheduled();
}
The method KeepRootedWhileScheduled is implemented thusly:
GC.SuppressFinalize(m_timer);
What is the purpose of calling GC.SuppressFinalize? Does it really root the object for the garbage collector, is the comment incorrect, or is there something else that I'm misunderstanding?

Keeping a System.Threading.Timer rooted is certainly very important, it stops ticking when you don't. But no, this method has a very misleading name. It probably did something very different in an early version, then it was discovered later that whatever hokey-pokey it did wasn't necessary. It shouldn't, the task keeps a reference on it. This is conjecture without having access to that early source code of course.
What remains is a micro-optimization, nothing unusual in .NET Framework code. Presumably the timer always gets disposed, no matter what happens, so there's no need for its finalizer. Sounds about right, you'd have to think of a scenario where the task suffers an exception while it is executing Delay(). Well, that doesn't happen. Fairly sloppy editing btw, that's not common in framework code.

Question about terminating a thread cleanly in .NET

I understand Thread.Abort() is evil from the multitude of articles I've read on the topic, so I'm currently in the process of ripping out all of my abort's in order to replace it for a cleaner way; and after comparing user strategies from people here on stackoverflow and then after reading "How to: Create and Terminate Threads (C# Programming Guide)" from MSDN both which state an approach very much the same -- which is to use a volatile bool approach checking strategy, which is nice, but I still have a few questions....
Immediately what stands out to me here, is what if you do not have a simple worker process which is just running a loop of crunching code? For instance for me, my process is a background file uploader process, I do in fact loop through each file, so that's something, and sure I could add my while (!_shouldStop) at the top which covers me every loop iteration, but I have many more business processes which occur before it hits it's next loop iteration, I want this cancel procedure to be snappy; don't tell me I need to sprinkle these while loops every 4-5 lines down throughout my entire worker function?!
I really hope there is a better way, could somebody please advise me on if this is in fact, the correct [and only?] approach to do this, or strategies they have used in the past to achieve what I am after.
Thanks gang.
Further reading: All these SO responses assume the worker thread will loop. That doesn't sit comfortably with me. What if it is a linear, but timely background operation?

Unfortunately there may not be a better option. It really depends on your specific scenario. The idea is to stop the thread gracefully at safe points. That is the crux of the reason why Thread.Abort is not good; because it is not guaranteed to occur at safe points. By sprinkling the code with a stopping mechanism you are effectively manually defining the safe points. This is called cooperative cancellation. There are basically 4 broad mechanisms for doing this. You can choose the one that best fits your situation.
Poll a stopping flag
You have already mentioned this method. This a pretty common one. Make periodic checks of the flag at safe points in your algorithm and bail out when it gets signalled. The standard approach is to mark the variable volatile. If that is not possible or inconvenient then you can use a lock. Remember, you cannot mark a local variable as volatile so if a lambda expression captures it through a closure, for example, then you would have to resort to a different method for creating the memory barrier that is required. There is not a whole lot else that needs to be said for this method.
Use the new cancellation mechanisms in the TPL
This is similar to polling a stopping flag except that it uses the new cancellation data structures in the TPL. It is still based on cooperative cancellation patterns. You need to get a CancellationToken and the periodically check IsCancellationRequested. To request cancellation you would call Cancel on the CancellationTokenSource that originally provided the token. There is a lot you can do with the new cancellation mechanisms. You can read more about here.
Use wait handles
This method can be useful if your worker thread requires waiting on an specific interval or for a signal during its normal operation. You can Set a ManualResetEvent, for example, to let the thread know it is time to stop. You can test the event using the WaitOne function which returns a bool indicating whether the event was signalled. The WaitOne takes a parameter that specifies how much time to wait for the call to return if the event was not signaled in that amount of time. You can use this technique in place of Thread.Sleep and get the stopping indication at the same time. It is also useful if there are other WaitHandle instances that the thread may have to wait on. You can call WaitHandle.WaitAny to wait on any event (including the stop event) all in one call. Using an event can be better than calling Thread.Interrupt since you have more control over of the flow of the program (Thread.Interrupt throws an exception so you would have to strategically place the try-catch blocks to perform any necessary cleanup).
Specialized scenarios
There are several one-off scenarios that have very specialized stopping mechanisms. It is definitely outside the scope of this answer to enumerate them all (never mind that it would be nearly impossible). A good example of what I mean here is the Socket class. If the thread is blocked on a call to Send or Receive then calling Close will interrupt the socket on whatever blocking call it was in effectively unblocking it. I am sure there are several other areas in the BCL where similiar techniques can be used to unblock a thread.
Interrupt the thread via Thread.Interrupt
The advantage here is that it is simple and you do not have to focus on sprinkling your code with anything really. The disadvantage is that you have little control over where the safe points are in your algorithm. The reason is because Thread.Interrupt works by injecting an exception inside one of the canned BCL blocking calls. These include Thread.Sleep, WaitHandle.WaitOne, Thread.Join, etc. So you have to be wise about where you place them. However, most the time the algorithm dictates where they go and that is usually fine anyway especially if your algorithm spends most of its time in one of these blocking calls. If you algorithm does not use one of the blocking calls in the BCL then this method will not work for you. The theory here is that the ThreadInterruptException is only generated from .NET waiting call so it is likely at a safe point. At the very least you know that the thread cannot be in unmanaged code or bail out of a critical section leaving a dangling lock in an acquired state. Despite this being less invasive than Thread.Abort I still discourage its use because it is not obvious which calls respond to it and many developers will be unfamiliar with its nuances.

Well, unfortunately in multithreading you often have to compromise "snappiness" for cleanliness... you can exit a thread immediately if you Interrupt it, but it won't be very clean. So no, you don't have to sprinkle the _shouldStop checks every 4-5 lines, but if you do interrupt your thread then you should handle the exception and exit out of the loop in a clean manner.
Update
Even if it's not a looping thread (i.e. perhaps it's a thread that performs some long-running asynchronous operation or some type of block for input operation), you can Interrupt it, but you should still catch the ThreadInterruptedException and exit the thread cleanly. I think that the examples you've been reading are very appropriate.
Update 2.0
Yes I have an example... I'll just show you an example based on the link you referenced:
public class InterruptExample
{
private Thread t;
private volatile boolean alive;
public InterruptExample()
{
alive = false;
t = new Thread(()=>
{
try
{
while (alive)
{
/* Do work. */
}
}
catch (ThreadInterruptedException exception)
{
/* Clean up. */
}
});
t.IsBackground = true;
}
public void Start()
{
alive = true;
t.Start();
}
public void Kill(int timeout = 0)
{
// somebody tells you to stop the thread
t.Interrupt();
// Optionally you can block the caller
// by making them wait until the thread exits.
// If they leave the default timeout,
// then they will not wait at all
t.Join(timeout);
}
}

If cancellation is a requirement of the thing you're building, then it should be treated with as much respect as the rest of your code--it may be something you have to design for.
Lets assume that your thread is doing one of two things at all times.
Something CPU bound
Waiting for the kernel
If you're CPU bound in the thread in question, you probably have a good spot to insert the bail-out check. If you're calling into someone else's code to do some long-running CPU-bound task, then you might need to fix the external code, move it out of process (aborting threads is evil, but aborting processes is well-defined and safe), etc.
If you're waiting for the kernel, then there's probably a handle (or fd, or mach port, ...) involved in the wait. Usually if you destroy the relevant handle, the kernel will return with some failure code immediately. If you're in .net/java/etc. you'll likely end up with an exception. In C, whatever code you already have in place to handle system call failures will propagate the error up to a meaningful part of your app. Either way, you break out of the low-level place fairly cleanly and in a very timely manner without needing new code sprinkled everywhere.
A tactic I often use with this kind of code is to keep track of a list of handles that need to be closed and then have my abort function set a "cancelled" flag and then close them. When the function fails it can check the flag and report failure due to cancellation rather than due to whatever the specific exception/errno was.
You seem to be implying that an acceptable granularity for cancellation is at the level of a service call. This is probably not good thinking--you are much better off cancelling the background work synchronously and joining the old background thread from the foreground thread. It's way cleaner becasue:
It avoids a class of race conditions when old bgwork threads come back to life after unexpected delays.
It avoids potential hidden thread/memory leaks caused by hanging background processes by making it possible for the effects of a hanging background thread to hide.
There are two reasons to be scared of this approach:
You don't think you can abort your own code in a timely fashion. If cancellation is a requirement of your app, the decision you really need to make is a resource/business decision: do a hack, or fix your problem cleanly.
You don't trust some code you're calling because it's out of your control. If you really don't trust it, consider moving it out-of-process. You get much better isolation from many kinds of risks, including this one, that way.

The best answer largely depends on what you're doing in the thread.
Like you said, most answers revolve around polling a shared boolean every couple lines. Even though you may not like it, this is often the simplest scheme. If you want to make your life easier, you can write a method like ThrowIfCancelled(), which throws some kind of exception if you're done. The purists will say this is (gasp) using exceptions for control flow, but then again cacelling is exceptional imo.
If you're doing IO operations (like network stuff), you may want to consider doing everything using async operations.
If you're doing a sequence of steps, you could use the IEnumerable trick to make a state machine. Example:
<
abstract class StateMachine : IDisposable
{
public abstract IEnumerable<object> Main();
public virtual void Dispose()
{
/// ... override with free-ing code ...
}
bool wasCancelled;
public bool Cancel()
{
// ... set wasCancelled using locking scheme of choice ...
}
public Thread Run()
{
var thread = new Thread(() =>
{
try
{
if(wasCancelled) return;
foreach(var x in Main())
{
if(wasCancelled) return;
}
}
finally { Dispose(); }
});
thread.Start()
}
}
class MyStateMachine : StateMachine
{
public override IEnumerabl<object> Main()
{
DoSomething();
yield return null;
DoSomethingElse();
yield return null;
}
}
// then call new MyStateMachine().Run() to run.
>
Overengineering? It depends how many state machines you use. If you just have 1, yes. If you have 100, then maybe not. Too tricky? Well, it depends. Another bonus of this approach is that it lets you (with minor modifications) move your operation into a Timer.tick callback and void threading altogether if it makes sense.
and do everything that blucz says too.

Perhaps the a piece of the problem is that you have such a long method / while loop. Whether or not you are having threading issues, you should break it down into smaller processing steps. Let's suppose those steps are Alpha(), Bravo(), Charlie() and Delta().
You could then do something like this:
public void MyBigBackgroundTask()
{
Action[] tasks = new Action[] { Alpha, Bravo, Charlie, Delta };
int workStepSize = 0;
while (!_shouldStop)
{
tasks[workStepSize++]();
workStepSize %= tasks.Length;
};
}
So yes it loops endlessly, but checks if it is time to stop between each business step.

You don't have to sprinkle while loops everywhere. The outer while loop just checks if it's been told to stop and if so doesn't make another iteration...
If you have a straight "go do something and close out" thread (no loops in it) then you just check the _shouldStop boolean either before or after each major spot inside the thread. That way you know whether it should continue on or bail out.
for example:
public void DoWork() {
RunSomeBigMethod();
if (_shouldStop){ return; }
RunSomeOtherBigMethod();
if (_shouldStop){ return; }
//....
}

Instead of adding a while loop where a loop doesn't otherwise belong, add something like if (_shouldStop) CleanupAndExit(); wherever it makes sense to do so. There's no need to check after every single operation or sprinkle the code all over with them. Instead, think of each check as a chance to exit the thread at that point and add them strategically with this in mind.

All these SO responses assume the worker thread will loop. That doesn't sit comfortably with me
There are not a lot of ways to make code take a long time. Looping is a pretty essential programming construct. Making code take a long time without looping takes a huge amount of statements. Hundreds of thousands.
Or calling some other code that is doing the looping for you. Yes, hard to make that code stop on demand. That just doesn't work.

How to force multiple commands to execute in same threading timeslice?

I have a C# app that needs to do a hot swap of a data input stream to a new handler class without breaking the data stream.
To do this, I have to perform multiple steps in a single thread without any other threads (most of all the data recieving thread) to run in between them due to CPU switching.
This is a simplified version of the situation but it should illustrate the problem.
void SwapInputHandler(Foo oldHandler, Foo newHandler)
{
UnhookProtocol(oldHandler);
HookProtocol(newHandler);
}
These two lines (unhook and hook) must execute in the same cpu slice to prevent any packets from getting through in case another thread executes in between them.
How can I make sure that these two commands run squentially using C# threading methods?
edit
There seems to be some confusion so I will try to be more specific. I didn't mean concurrently as in executing at the same time, just in the same cpu time slice so that no thread executes before these two complete. A lock is not what I'm looking for because that will only prevent THIS CODE from being executed again before the two commands run. I need to prevent ANY THREAD from running before these commands are done. Also, again I say this is a simplified version of my problem so don't try to solve my example, please answer the question.

Performing the operation in a single time slice will not help at all - the operation could just execute on another core or processor in parallel and access the stream while you perform the swap. You will have to use locking to prevent everybody from accessing the stream while it is in an inconsistent state.

Your data receiving thread needs to lock around accessing the handler pointer and you need to lock around changing the handler pointer.
Alternatively if your handler is a single variable you could use Interlocked.Exchange() to swap the value atomically.

Why not go at this from another direction, and let the thread in question handle the swap. Presumably, something wakes up when there's data to be handled, and passes it off to the current Foo. Could you post a notification to that thread that it needs to swap in a new handler the next time it wakes up? That would be much less fraught, I'd think.

Okay - to answer your specific question.
You can enumerate through all the threads in your process and call Thread.Suspend() on each one (except the active one), make the change and then call Thread.Resume().

Assuming your handlers are thread safe, my recommendation is to write a public wrapper over your handlers that does all the locking it needs using a private lock so you can safely change the handlers behind the scenes.
If you do this you can also use a ReaderWriterLockSlim, for accessing the wrapped handlers which allows concurrent read access.
Or you could architect your wrapper class and handler clases in such a way that no locking is required and the handler swamping can be done using a simple interlocked write or compare exchange.
Here's and example:
public interface IHandler
{
void Foo();
void Bar();
}
public class ThreadSafeHandler : IHandler
{
ReaderWriterLockSlim rwLock = new ReaderWriterLockSlim();
IHandler wrappedHandler;
public ThreadSafeHandler(IHandler handler)
{
wrappedHandler = handler;
}
public void Foo()
{
try
{
rwLock.EnterReadLock();
wrappedHandler.Foo();
}
finally
{
rwLock.ExitReadLock();
}
}
public void Bar()
{
try
{
rwLock.EnterReadLock();
wrappedHandler.Foo();
}
finally
{
rwLock.ExitReadLock();
}
}
public void SwapHandler(IHandler newHandler)
{
try
{
rwLock.EnterWriteLock();
UnhookProtocol(wrappedHandler);
HookProtocol(newHandler);
}
finally
{
rwLock.ExitWriteLock();
}
}
}
Take note that this is still not thread safe if atomic operations are required on the handler's methods, then you would need to use higher order locking between treads or add methods on your wrapper class to support thread safe atomic operations (something like, BeginTreadSafeBlock() folowed by EndTreadSafeBlock() that lock the wrapped handler for writing for a series of operations.

You can't and it's logical that you can't. The best you can do is avoid any other thread from disrupting the state between those two actions (as have already been said).
Here is why you can't:
Imagine there was an block that told the operating system to never thread switch while you're on that block. That would be technically possible but will lead to starvation everywhere.
You might thing your threads are the only one being used but that's an unwise assumption. There's the garbage collector, there are the async operations that works with threadpool threads, an external reference, such as a COM object could span its own thread (in your memory space) so that noone could progress while you're at it.
Imagine you make a very long operation in your HookOperation method. It involves a lot of non leaky operations but, as the Garbage Collector can't take over to free your resources, you end up without any memory left. Or imagine you call a COM object that uses multithreading to handle your request... but it can't start the new threads (well it can start them but they never get to run) and then joins them waiting for them to finish before coming back... and therefore you join on yourself, never returning!!.

As other posters have already said, you can't enforce system-wide critical section from user-mode code. However, you don't need it to implement the hot swapping.
Here is how.
Implement a proxy with the same interface as your hot-swappable Foo object. The proxy shall call HookProtocol and never unhook (until your app is stopped). It shall contain a reference to the current Foo handler, which you can replace with a new instance when needed. The proxy shall direct the data it receives from hooked functions to the current handler. Also, it shall provide a method for atomic replacement of the current Foo handler instance (there is a number of ways to implement it, from simple mutex to lock-free).