Does async method get its own thread [duplicate] - c#

I am new to TPL and I am wondering: How does the asynchronous programming support that is new to C# 5.0 (via the new async and await keywords) relate to the creation of threads?
Specifically, does the use of async/await create a new thread each time that they are used? And if there many nested methods that use async/await, is a new thread created for each of those methods?

In short NO
From Asynchronous Programming with Async and Await : Threads
The async and await keywords don't cause additional threads to be
created. Async methods don't require multithreading because an async
method doesn't run on its own thread. The method runs on the current
synchronization context and uses time on the thread only when the
method is active. You can use Task.Run to move CPU-bound work to a
background thread, but a background thread doesn't help with a process
that's just waiting for results to become available.

According to MSDN : async keyword
An async method runs synchronously until it reaches its first await expression, at which point the method is suspended until the awaited task is complete. In the meantime, control returns to the caller of the method, as the example in the next section shows.
Here is a sample code to check it :
class Program
{
static void Main(string[] args)
{
Program p = new Program();
p.Run();
}
private void Print(string txt)
{
string dateStr = DateTime.Now.ToString("HH:mm:ss.fff");
Console.WriteLine($"{dateStr} Thread #{Thread.CurrentThread.ManagedThreadId}\t{txt}");
}
private void Run()
{
Print("Program Start");
Experiment().Wait();
Print("Program End. Press any key to quit");
Console.Read();
}
private async Task Experiment()
{
Print("Experiment code is synchronous before await");
await Task.Delay(500);
Print("Experiment code is asynchronous after first await");
}
}
And the result :
We see the code of Experiment() method after await executes on another Thread.
But if I replace the Task.Delay by my own code (method SomethingElse) :
class Program
{
static void Main(string[] args)
{
Program p = new Program();
p.Run();
}
private void Print(string txt)
{
string dateStr = DateTime.Now.ToString("HH:mm:ss.fff");
Console.WriteLine($"{dateStr} Thread #{Thread.CurrentThread.ManagedThreadId}\t{txt}");
}
private void Run()
{
Print("Program Start");
Experiment().Wait();
Print("Program End. Press any key to quit");
Console.Read();
}
private async Task Experiment()
{
Print("Experiment code is synchronous before await");
await SomethingElse();
Print("Experiment code is asynchronous after first await");
}
private Task SomethingElse()
{
Print("Experiment code is asynchronous after first await");
Thread.Sleep(500);
return (Task.CompletedTask);
}
}
I notice the thread remains the same !
In conclusion, I'll say async/await code could use another thread, but only if the thread is created by another code, not by async/await.
In this case, I think Task.Delay created the thread, so I can conclude async/await does not create a new Thread like said by #Adriaan Stander.

Sorry for being late to the party.
I am new to TPL and I am wondering: How does the asynchronous
programming support that is new to C# 5.0 (via the new async and await
keywords) relate to the creation of threads?
async/await is not introduced for thread creation, but to utilize the current thread optimally.
Your app might read files, wait for response from another server or even do a computation with high memory access (Simply any IO task). These tasks are not CPU intensive (Any task that will not use 100% of your thread).
Think about the case when you are processing 1000 non CPU intensive tasks. In this case, process of creating 1000s of OS level thread might eat up more CPU and Memory than doing actual work on a single thread (4mb per thread in Windows, 4MB * 1000 = 4GB). At the same time if you run all the tasks sequentially, you might have to wait until the IO tasks gets finished. Which end up in long time to complete the task, while keeping the CPU idle.
Since we require parallelism to complete multiple tasks quickly, at the same time all parallel tasks are not CPU hungry, but creating threads is inefficient.
The compiler will break the execution at any method call to an async method (which gets called with an await) and immediately execute the code outside of the current code branch, once an await is reached, the execution will go inside the previous async. This will be repeated again and again until all the async calls are completed and their awaiters are satisfied.
If any of the async method have heavy CPU load without a call to an async method, then yes, your system will become unresponsive and all the remaining async methods will not get called until the current task is finished.

So I've been reading up on the threading model, and Async / Await can certainly lead to new threads being used (not necessarily created - the pool creates them at application start). It's up to the scheduler to determine if a new thread is needed. And as I see it, a call to an awaitable function may have internal details that increase the chances of the scheduler utilizing another thread; simply because more work means more opportunities / reasons for the scheduler to divvy out work.
WinRT async operations automatically happen on the thread pool. And typically you will be calling FROM the thread pool, except for UI thread work .. Xaml/Input/Events.
Async operations started on Xaml/UI threads have their results delivered back to the [calling] UI thread. But asynchronous operation results started from a thread pool thread are delivered wherever the completion happens, which may not be the same thread you were on before. The reason behind this is that code written for the thread pool is likely to be written to be thread safe and it is also for efficiency, Windows doesn't have to negotiate that thread switch.
So again, in answer to the OP, new threads are not necessarily created but your application can and will use multiple threads to complete asynchronous work.
I know this seems to contradict some of the literature regarding async / await, but that's because although the async / await construct is not by itself multithreaded. Awaitables are the, or one of the mechanisms by which the scheduler can divide work and construct calls across threads.
This is at the limit of my knowledge right now regarding async and threading, so I might not have it exactly right, but I do think it's important to see the relationship between awaitables and threading.

Using Async/Await doesn't necessarily cause a new thread to be created. But the use of Async/Await can lead to a new thread to be created because the awaitable function may internally spawn a new thread. And it often does, making the statement 'No, it doesn't spawn threads' almost useless in practice. For example, the following code spawns new threads.
VisualProcessor.Ctor()
{
...
BuildAsync();
}
async void BuildAsync()
{
...
TextureArray dudeTextures = await TextureArray.FromFilesAsync(…);
}
public static async Task<TextureArray> FromFilesAsync(...)
{
Debug.WriteLine("TextureArray.FromFilesAsync() T1 : Thread Id = " + GetCurrentThreadId());
List<StorageFile> files = new List<StorageFile>();
foreach (string path in paths)
{
if (path != null)
files.Add(await Package.Current.InstalledLocation.GetFileAsync(path)); // << new threads
else
files.Add(null);
}
Debug.WriteLine("TextureArray.FromFilesAsync() T2 : Thread Id = " + GetCurrentThreadId());
...
}

In case of Java Spring Framework, a method annotated with #Async runs in a separate thread. Quoting from official guide (https://spring.io/guides/gs/async-method) -
The findUser method is flagged with Spring’s #Async annotation,
indicating that it should run on a separate thread. The method’s
return type is CompletableFuture instead of User, a requirement
for any asynchronous service.
Of course in the backend it uses a Thread Pool and a Queue (where async tasks wait for a thread to be back in the pool).

Related

Two Tasks run on the same thread which invalidates lock

Edit
I find Building Async Coordination Primitives, Part 1: AsyncManualResetEvent might be related to my topic.
In the case of TaskCompletionSource, that means that synchronous continuations can happen as part of a call to {Try}Set*, which means in our AsyncManualResetEvent example, those continuations could execute as part of the Set method. Depending on your needs (and whether callers of Set may be ok with a potentially longer-running Set call as all synchronous continuations execute), this may or may not be what you want.
Many thanks to all of the answers, thank you for your knowledge and patience!
Original Question
I know that Task.Run runs on a threadpool thread and threads can have re-entrancy. But I never knew that 2 tasks can run on the same thread when they are both alive!
My Question is: is that reasonable by design? Does that mean lock inside an async method is meaningless (or say, lock cannot be trusted in async method block, if I'd like a method that doesn't allow reentrancy)?
Code:
namespace TaskHijacking
{
class Program
{
static TaskCompletionSource<bool> tcs = new TaskCompletionSource<bool>();
static object methodLock = new object();
static void MethodNotAllowReetrance(string callerName)
{
lock(methodLock)
{
Console.WriteLine($"Enter MethodNotAllowReetrance, caller: {callerName}, on thread: {Thread.CurrentThread.ManagedThreadId}");
if (callerName == "task1")
{
tcs.SetException(new Exception("Terminate tcs"));
}
Thread.Sleep(1000);
Console.WriteLine($"Exit MethodNotAllowReetrance, caller: {callerName}, on thread: {Thread.CurrentThread.ManagedThreadId}");
}
}
static void Main(string[] args)
{
var task1 = Task.Run(async () =>
{
await Task.Delay(1000);
MethodNotAllowReetrance("task1");
});
var task2 = Task.Run(async () =>
{
try
{
await tcs.Task; // await here until task SetException on tcs
}
catch
{
// Omit the exception
}
MethodNotAllowReetrance("task2");
});
Task.WaitAll(task1, task2);
Console.ReadKey();
}
}
}
Output:
Enter MethodNotAllowReetrance, caller: task1, on thread: 6
Enter MethodNotAllowReetrance, caller: task2, on thread: 6
Exit MethodNotAllowReetrance, caller: task2, on thread: 6
Exit MethodNotAllowReetrance, caller: task1, on thread: 6
The control flow of the thread 6 is shown in the figure:
You already have several solutions. I just want to describe the problem a bit more. There are several factors at play here that combine to cause the observed re-entrancy.
First, lock is re-entrant. lock is strictly about mutual exclusion of threads, which is not the same as mutual exclusion of code. I think re-entrant locks are a bad idea in the 99% case (as described on my blog), since developers generally want mutual exclusion of code and not threads. SemaphoreSlim, since it is not re-entrant, mutually excludes code. IMO re-entrant locks are a holdover from decades ago, when they were introduced as an OS concept, and the OS is just concerned about managing threads.
Next, TaskCompletionSource<T> by default invokes task continuations synchronously.
Also, await will schedule its method continuation as a synchronous task continuation (as described on my blog).
Task continuations will sometimes run asynchronously even if scheduled synchronously, but in this scenario they will run synchronously. The context captured by await is the thread pool context, and the completing thread (the one calling TCS.TrySet*) is a thread pool thread, and in that case the continuation will almost always run synchronously.
So, you end up with a thread that takes a lock, completes a TCS, thus executing the continuations of that task, which includes continuing another method, which is then able to take that same lock.
To repeat the existing solutions in other answers, to solve this you need to break that chain at some point:
(OK) Use a non-reentrant lock. SemaphoreSlim.WaitAsync will still execute the continuations while holding the lock (not a good idea), but since SemaphoreSlim isn't re-entrant, the method continuation will (asynchronously) wait for the lock to be available.
(Best) Use TaskCompletionSource.RunContinuationsAsynchronously, which will force task continuations onto a (different) thread pool thread. This is a better solution because your code is no longer invoking arbitrary code while holding a lock (i.e., the task continuations).
You can also break the chain by using a non-thread-pool context for the method awaiting the TCS. E.g., if that method had to resume on a UI thread, then it could not be run synchronously from a thread pool thread.
From a broader perspective, if you're mixing locks and TaskCompletionSource instances, it sounds like you may be building (or may need) an asynchronous coordination primitive. I have an open-source library that implements a bunch of them, if that helps.
A task is an abstraction over some amount of work. Usually this means that the work is split into parts, where the execution can be paused and resumed between parts. When resuming it may very well run on another thread. But the pausing/resuming may only be done at the await statements. Notably, while the task is 'paused', for example because it is waiting for IO, it does not consume any thread at all, it will only use a thread while it is actually running.
My Question is: is that reasonable by design? Does that mean lock inside an async method is meaningless?
locks inside a async method is far from meaningless since it allows you to ensure a section of code is only run by one thread at a time.
In your first example there can be only one thread that has the lock at a time. While the lock is held that task cannot be paused/resumed since await is not legal while in a lock body. So a single thread will execute the entire lock body, and that thread cannot do anything else until it completes the lock body. So there is no risk of re-entrancy unless you invoke some code that can call back to the same method.
In your updated example the problem occurs due to TaskCompletionSource.SetException, this is allowed to reuse the current thread to run any continuation of the task immediately. To avoid this, and many other issues, make sure you only hold the lock while running a limited amount of code. Any method calls that may run arbitrary code risks causing deadlocks, reentrancy, and many other problems.
You can solve the specific problem by using a ManualResetEvent(Slim) to do the signaling between threads instead of using a TaskCompletionSource.
So your method is basically like this:
static void MethodNotAllowReetrance()
{
lock (methodLock) tcs.SetResult();
}
...and the tcs.Task has a continuation attached that invokes the MethodNotAllowReetrance. What happens then is the same thing that would happen if your method was like this instead:
static void MethodNotAllowReetrance()
{
lock (methodLock) MethodNotAllowReetrance();
}
The moral lesson is that you must be very careful every time you invoke any method inside a lock-protected region. In this particular case you have a couple of options:
Don't complete the TaskCompletionSource while holding the lock. Defer its completion until after you have exited the protected region:
static void MethodNotAllowReetrance()
{
bool doComplete = false;
lock (methodLock) doComplete = true;
if (doComplete) tcs.SetResult();
}
Configure the TaskCompletionSource so that it invokes its continuations asynchronously, by passing the TaskCreationOptions.RunContinuationsAsynchronously in its constructor. This is an option that you don't have very often. For example when you cancel a CancellationTokenSource, you don't have the option to invoke asynchronously the callbacks registered to its associated CancellationToken.
Refactor the MethodNotAllowReetrance method in a way that it can handle reentrancy.
Use SemaphoreSlim instead of lock, since, as the documentation says:
The SemaphoreSlim class doesn't enforce thread or task identity
In your case, it would look something like this:
// Semaphore only allows one request to enter at a time
private static readonly SemaphoreSlim _semaphoreSlim = new SemaphoreSlim(1, 1);
void SyncMethod() {
_semaphoreSlim.Wait();
try {
// Do some sync work
} finally {
_semaphoreSlim.Release();
}
}
The try/finally block is optional, but it makes sure that the semaphore is released even if an exception is thrown somewhere in your code.
Note that SemaphoreSlim also has a WaitAsync() method, if you want to wait asynchronously to enter the semaphore.

What's the difference between starting and awaiting a Task?

What's the difference between starting and awaiting? Code below taken from Stephen Cleary's blog (including comments)
public async Task DoOperationsConcurrentlyAsync()
{
Task[] tasks = new Task[3];
tasks[0] = DoOperation0Async();
tasks[1] = DoOperation1Async();
tasks[2] = DoOperation2Async();
// At this point, all three tasks are running at the same time.
// Now, we await them all.
await Task.WhenAll(tasks);
}
I thought that the tasks begin running when you await them ... but the comments in the code seem to imply otherwise.
Also, how can the tasks be running after I just attributed them to an array of type Task. Isn't that just an attribution, by nature not involving action?
A Task returns "hot" (i.e. already started). await asynchronously waits for the Task to complete.
In your example, where you actually do the await will affect whether the tasks are ran one after the other, or all of them at the same time:
await DoOperation0Async(); // start DoOperation0Async, wait for completion, then move on
await DoOperation1Async(); // start DoOperation1Async, wait for completion, then move on
await DoOperation2Async(); // start DoOperation2Async, wait for completion, then move on
As opposed to:
tasks[0] = DoOperation0Async(); // start DoOperation0Async, move on without waiting for completion
tasks[1] = DoOperation1Async(); // start DoOperation1Async, move on without waiting for completion
tasks[2] = DoOperation2Async(); // start DoOperation2Async, move on without waiting for completion
await Task.WhenAll(tasks); // wait for all of them to complete
Update
"doesn't await make an async operation... behave like sync, in this example (and not only)? Because we can't (!) run anything else in parallel with DoOperation0Async() in the first case. By comparison, in the 2nd case DoOperation0Async() and DoOperation1Async() run in parallel (e.g. concurrency,the main benefits of async?)"
This is a big subject and a question worth being asked as it's own thread on SO as it deviates from the original question of the difference between starting and awaiting tasks - therefore I'll keep this answer short, while referring you to other answers where appropriate.
No, awaiting an async operation does not make it behave like sync; what these keywords do is enabling developers to write asynchronous code that resembles a synchronous workflow (see this answer by Eric Lippert for more).
Calling await DoOperation0Async() will not block the thread executing this code flow, whereas a synchronous version of DoOperation0 (or something like DoOperation0Async.Result) will block the thread until the operation is complete.
Think about this in a web context. Let's say a request arrives in a server application. As part of producing a response to that request, you need to do a long-running operation (e.g. query an external API to get some value needed to produce your response). If the execution of this long-running operation was synchronous, the thread executing your request would block as it would have to wait for the long-running operation to complete. On the other hand, if the execution of this long-running operation was asynchronous, the request thread could be freed up so it could do other things (like service other requests) while the long-running operation was still running. Then, when the long-running operation would eventually complete, the request thread (or possibly another thread from the thread pool) could pick up from where it left off (as the long-running operation would be complete and it's result would now be available) and do whatever work was left to produce the response.
The server application example also addresses the second part of your question about the main benefits of async - async/await is all about freeing up threads.
Isn't that just an attribution, by nature not involving action?
By calling the async method you execute the code within. Usually down the chain one method will create a Task and return it either by using return or by awaiting.
Starting a Task
You can start a Task by using Task.Run(...). This schedules some work on the Task Thread Pool.
Awaiting a Task
To get a Task you usually call some (async) Method that returns a Task. An async method behaves like a regular method until you await (or use Task.Run() ). Note that if you await down a chain of methods and the "final" method only does a Thread.Sleep() or synchronous operation - then you will block the initial calling thread, because no method ever used the Task's Thread Pool.
You can do some actual asynchronous operation in many ways:
using Task.Run
using Task.Delay
using Task.Yield
call a library that offers asynchronous operations
These are the ones that come to my mind, there are probably more.
By example
Let's assume that Thread ID 1 is the main thread where you are calling MethodA() from. Thread IDs 5 and up are Threads to run Tasks on (System.Threading.Tasks provides a default Scheduler for that).
public async Task MethodA()
{
// Thread ID 1, 0s passed total
var a = MethodB(); // takes 1s
// Thread ID 1, 1s passed total
await Task.WhenAll(a); // takes 2s
// Thread ID 5, 3s passed total
// When the method returns, the SynchronizationContext
// can change the Thread - see below
}
public async Task MethodB()
{
// Thread ID 1, 0s passed total
Thread.Sleep(1000); // simulate blocking operation for 1s
// Thread ID 1, 1s passed total
// the await makes MethodB return a Task to MethodA
// this task is run on the Task ThreadPool
await Task.Delay(2000); // simulate async call for 2s
// Thread ID 2 (Task's pool Thread), 3s passed total
}
We can see that MethodA was blocked on the MethodB until we hit an await statement.
Await, SynchronizationContext, and Console Apps
You should be aware of one feature of Tasks. They make sure to invoke back to a SynchronizationContext if one is present (basically non-console apps). You can easily run into a deadlock when using .Result or .Wait() on a Task if the called code does not take measures. See https://blogs.msdn.microsoft.com/pfxteam/2012/01/20/await-synchronizationcontext-and-console-apps/
async/await as syntactic sugar
await basically just schedules following code to run after the call was completed. Let me illustrate the idea of what is happening behind the scenes.
This is the untransformed code using async/await. The Something method is awaited, so all following code (Bye) will be run after Something completed.
public async Task SomethingAsync()
{
Hello();
await Something();
Bye();
}
To explain this I add a utility class Worker that simply takes some action to run and then notify when done.
public class Worker
{
private Action _action;
public event DoneHandler Done;
// skipping defining DoneHandler delegate
// store the action
public Worker(Action action) => _action = action;
public void Run()
{
// execute the action
_action();
// notify so that following code is run
Done?.Invoke();
}
}
Now our transformed code, not using async/await
public Task SomethingAsync()
{
Hello(); // this remains untouched
// create the worker to run the "awaited" method
var worker = new Worker(() => Something());
// register the rest of our method
worker.Done += () => Bye();
// execute it
worker.Run();
// I left out the part where we return something
// or run the action on a threadpool to keep it simple
}
Here's the short answer:
To answer this you just need to understand what the async / await keywords do.
We know a single thread can only do one thing at a time and we also know that a single thread bounces all over the application to various method calls and events, ETC. This means that where the thread needs to go next is most likely scheduled or queued up somewhere behind the scenes (it is but I won't explain that part here.) When a thread calls a method, that method is ran to completion before any other methods can be ran which is why long running methods are preferred to be dispatched to other threads to prevent the application from freezing. In order to break a single method up into separate queues we need to do some fancy programming OR you can put the async signature on the method. This tells the compiler that at some point the method can be broken up into other methods and placed in a queue to be ran later.
If that makes sense then you're already figuring out what await does... await tells the compiler that this is where the method is going to be broken up and scheduled to run later. This is why you can use the async keyword without the await keyword; although the compiler knows this and warns you. await does all this for you by use of a Task.
How does await use a Task tell the compiler to schedule the rest of the method? When you call await Task the compilers calls the Task.GetAwaiter() method on that Task for you. GetAwaiter() return a TaskAwaiter. The TaskAwaiter implements two interfaces ICriticalNotifyCompletion, INotifyCompletion. Each has one method, UnsafeOnCompleted(Action continuation) and OnCompleted(Action continuation). The compiler then wraps the rest of the method (after the await keyword) and puts it in an Action and then it calls the OnCompleted and UnsafeOnCompleted methods and passes that Action in as a parameter. Now when the Task is complete, if successful it calls OnCompleted and if not it calls UnsafeOnCompleted and it calls those on the same thread context used to start the Task. It uses the ThreadContext to dispatch the thread to the original thread.
Now you can understand that neither async or await execute any Tasks. They simply tell the compiler to use some prewritten code to schedule all of it for you. In fact; you can await a Task that's not running and it will await until the Task is executed and completed or until the application ends.
Knowing this; lets get hacky and understand it deeper by doing what async await does manually.
Using async await
using System;
using System.Threading.Tasks;
namespace Question_Answer_Console_App
{
class Program
{
static void Main(string[] args)
{
Test();
Console.ReadKey();
}
public static async void Test()
{
Console.WriteLine($"Before Task");
await DoWorkAsync();
Console.WriteLine($"After Task");
}
static public Task DoWorkAsync()
{
return Task.Run(() =>
{
Console.WriteLine($"{nameof(DoWorkAsync)} starting...");
Task.Delay(1000).Wait();
Console.WriteLine($"{nameof(DoWorkAsync)} ending...");
});
}
}
}
//OUTPUT
//Before Task
//DoWorkAsync starting...
//DoWorkAsync ending...
//After Task
Doing what the compiler does manually (sort of)
Note: Although this code works it is meant to help you understand async await from a top down point of view. It DOES NOT encompass or execute the same way the compiler does verbatim.
using System;
using System.Threading.Tasks;
namespace Question_Answer_Console_App
{
class Program
{
static void Main(string[] args)
{
Test();
Console.ReadKey();
}
public static void Test()
{
Console.WriteLine($"Before Task");
var task = DoWorkAsync();
var taskAwaiter = task.GetAwaiter();
taskAwaiter.OnCompleted(() => Console.WriteLine($"After Task"));
}
static public Task DoWorkAsync()
{
return Task.Run(() =>
{
Console.WriteLine($"{nameof(DoWorkAsync)} starting...");
Task.Delay(1000).Wait();
Console.WriteLine($"{nameof(DoWorkAsync)} ending...");
});
}
}
}
//OUTPUT
//Before Task
//DoWorkAsync starting...
//DoWorkAsync ending...
//After Task
LESSON SUMMARY:
Note that the method in my example DoWorkAsync() is just a function that returns a Task. In my example the Task is running because in the method I use return Task.Run(() =>…. Using the keyword await does not change that logic. It's exactly the same; await only does what I mentioned above.
If you have any questions just ask and I'll be happy to answer them.
With starting you start a task. That means it might be picked up for execution by whatever Multitasaking system is in place.
With waiting, you wait for one task to actually finish before you continue.
There is no such thing as a Fire and Forget Thread. You always need to come back, to react to exceptions or do somethings with the result of the asynchronous operation (Database Query or WebQuery result, FileSystem operation finished, Dokument send to the nearest printer pool).
You can start and have as many task running in paralell as you want. But sooner or later you will require the results before you can go on.

Exact threading of async WhenAll [duplicate]

In the context of a console application making use of async/await constructs, I would like to know if it's possible for "continuations" to run in parallel on multiple threads on different CPUs.
I think this is the case, as continuations are posted on the default task scheduler (no SynchronizationContext in console app), which is the thread pool.
I know that async/await construct do not construct any additional thread. Still there should be at least one thread constructed per CPU by the thread pool, and therefore if continuations are posted on the thread pool, it could schedule task continuations in parrallel on different CPUs ... that's what I thought, but for some reason I got really confused yesterday regarding this and I am not so sure anymore.
Here is some simple code :
public class AsyncTest
{
int i;
public async Task DoOpAsync()
{
await SomeOperationAsync();
// Does the following code continuation can run
// in parrallel ?
i++;
// some other continuation code ....
}
public void Start()
{
for (int i=0; i<1000; i++)
{ var _ = DoOpAsync(); } // dummy variable to bypass warning
}
}
SomeOperationAsync does not create any thread in itself, and let's say for the sake of the example that it just sends some request asynchronously relying on I/O completion port so not blocking any thread at all.
Now, if I call Start method which will issue 1000 async operations, is it possible for the continuation code of the async method (after the await) to be run in parallel on different CPU threads ? i.e do I need to take care of thread synchronization in this case and synchronize access to field "i" ?
Yes, you should put thread synchronization logic around i++ because it is possible that multiple threads would be executing code after await at the same time.
As a result of your for loop, number of Tasks will be created. These Tasks will be executed on different Thread Pool threads. Once these Tasks are completed the continuation i.e. the code after the await, will be executed again on different Thread Pool threads. This makes it possible that multiple threads would be doing i++ at the same time
Your understanding is correct: in Console applications, by default continuations will be scheduled to the thread pool due to the default SynchronizationContext.
Each async method does start synchronously, so your for loop will execute the beginning of DoOpAsync on the same thread. Assuming that SomeOperationAsync returns an incomplete Task, the continuations will be scheduled on the thread pool.
So each of the invocations of DoOpAsync may continue in parallel.

If an async method is single threaded how can it be run in the background?

I'm trying to understand async/await and have read a number of articles but am still confused about the synchronous/asynchronous nature.
I have the following test console app:
static void Main(string[] args)
{
var test = FooAsync();
Console.WriteLine("After FooAsync");
for (int i = 0; i < 100; i++)
Console.WriteLine("After that");
Console.ReadKey();
}
private static async Task FooAsync()
{
Console.WriteLine("Before delay");
await Task.Delay(1);
Console.WriteLine("After delay");
}
The code gives output along the lines of:
Before delay
After FooAsync
After that
After that
After that
After that
After delay
After that
.
.
I understand that async/await will not create a separate thread for processing and that at the point FooAsync reaches the await Task.Delay(1) line it will return back to Main as the task will not yet have completed, however, as we are only running on a single thread can someone explain what triggers the FooAsync method to resume at some arbitrary point within Main before Main can then continue?
Update
I take it back and i3arnon and dariogriffo are correct. The code does use multiple threads (as I'd have seen before had looked in the debugger or done the obvious as kha suggested). I'd been confused by the Threads section on the following page https://msdn.microsoft.com/en-us/library/hh191443.aspx#BKMK_Threads not realising that a "continuation" actually refers to a continuation task schedule to run as soon as the task being "awaited" finishes.
This isn't single threaded.
When the delay task completes the rest of the method is posted to the ThreadPool and runs concurrently with your main thread. The "trigger" here is the callback of the internal System.Threading.Timer being used inside Task.Delay.
This behaviour depends on the SynchronizationContext. In a UI environment this would have been posted to the same UI thread and would have to wait until that thread is free.
If you would have been waiting for the task returned from FooAsync then you would only have a single thread running each time.
Async/await may create new threads OR NOT, it depends of the nature of the operation.
If the operation is an IO (for example disks/network operations) probably is coded in a way it will not spin a new thread. You can read from here:
The async and await keywords don't cause additional threads to be created?
If you create your own Async operation and you create a thread, that's a different story, that's why you shouldn't do async over sync
http://blogs.msdn.com/b/pfxteam/archive/2012/04/13/10293638.aspx
You can check this also but using Thread.CurrentThread to get the Id of the process. (Add that to a Console.WriteLine)
It's a pretty common misconception that the async or await keywords create new threads. They don't.
The threads are created by running a Task. In this case, the thread is created by the Task.Delay call.

multithreading in regards toTask, async, and await

I have the following code and just want to make sure I have the concept of multithreading down on a high level.
public async Task<List<Category>> GetProjectsByCategoryIDAsync(Int16 categoryid)
{
try
{
using (YeagerTechEntities DbContext = new YeagerTechEntities())
{
DbContext.Configuration.ProxyCreationEnabled = false;
DbContext.Database.Connection.Open();
var category = await DbContext.Categories.Include("Projects").Where(p => p.CategoryID == categoryid).ToListAsync();
return category;
}
}
catch (Exception)
{
throw;
}
}
It is my understanding of the following:
async - declares a method to run asynchounously instead of
synchrounously.
Task - declares a method to run as a task on a single thread
await - the task waits for the operation to complete.
Where I am a little fuzzy about is the await keyword. Obviously, the benefit of asynchrounous programming is that the method supposedly doesn't have to wait for the task to complete before another request comes in right behind it. But with the await keyword, the task waits until the operation is finished.
With synchrounous programming, everything is processed in a sequential pattern.
How does this methodology allow for requests to come in simultaneously and be executed in a much faster fashion than synchronous programming??
I just need a high level explanation to get the concept down.
Thanks so much in advance.
Consider the following code:
public async Task DoSomething()
{
Console.WriteLine("Begin");
int i = await DoSomethingElse();
Console.WriteLine("End " + i);
}
public Task<int> DoSomethingElse()
{
return new Task<int>(() =>
{
// do heavy work
Thread.Sleep(1000);
return 1;
});
}
With synchrounous programming, everything is processed in a sequential
pattern.
The code above is asynchronous, but is still sequential. The difference between that code and its synchronous version (e.g., public int DoSomethingElse) is that when you await DoSomethingElse, the main thread will be freed to do other work, instead of blocking waiting for DoSomethingElse to complete.
What actually happens is: your async DoSomething method will run on thread A and be broken in two.
the first part will print "Begin" and make an async call, and then return.
the second part will print "End"
After the first part of the method executes, Thread A will be free to do other work.
Meanwhile, Thread B will be executing the lambda expression that does some heavy work.
Whenever Thread B completes, the second part of your method will be scheduled to run on Thread A, and "End" will be printed.
Notice that, while Thread B was executing the heavy work, Thread A was free to do other stuff.
How does this methodology allow for requests to come in simultaneously
and be executed in a much faster fashion than synchronous
programming??
In frameworks such as ASP.NET MVC, your application has a finite number of threads available to handle incoming requests (lets call these "request threads"). By delegating heavy work to other threads and awaiting, your request threads will be free to handle more incoming requests while heavy work is being done.
This diagram, although complex, illustrates the execution/suspension flow of threads executing asynchronous work:
Notice how at step 6 the thread was yielded, and then step 7 resumed the execution of the method.
As you can see, the await keyword effectively breaks the method in two.

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