Measuring performance gains with async-await [duplicate] - c#

I have a Windows Service that reads from multiple MessageQueue instances. Those messagequeues all run their own Task for reading messages. Normally, after reading a message, the work of an I/O database is done. I've found articles claiming it's a good idea to use async on I/O operations, because it would free up threads. I'm trying to simulate the performance boost of using async I/O opertations in a Console application.
The Console application
In my test environment, I have 10 queues. GetQueues() returns 10 different MessageQueue instances.
static void Main(string[] args)
{
var isAsync = Console.ReadLine() == "Y";
foreach (var queue in queueManager.GetQueues())
{
var temp = queue;
Task.Run(() => ReceiveMessagesForQueue(temp, isAsync));
}
while (true)
{
FillAllQueuesWithMessages();
ResetAndStartStopWatch();
while(!AllMessagesRead())
{
Thread.Sleep(10);
}
Console.WriteLine("All messages read in {0}ms", stopWatch.ElapsedMilliseconds);
}
}
static async Task ReceiveMessagesForQueue(MessageQueue queue, bool isAsync)
{
while (true)
{
var message = await Task.Factory.FromAsync<Message>(queue.BeginReceive(), queue.EndReceive);
if (isAsync)
await ProcessMessageAsync(message);
else
ProcessMessage(message);
}
}
Async message processing
Uses await on Task.Delay(), so should release current Thread
static async Task ProcessMessageAsync(Message message)
{
await Task.Delay(1000);
BurnCpu();
}
Sync message processing
waits on Task.Delay(), so shouldn't release current Thread
static void ProcessMessage(Message message)
{
Task.Delay(1000).Wait();
BurnCpu();
}
In the end, results are equal. Am I missing something here?
Edit 1
I'm measuring overall time using stopWatch.ElapsedMilliseconds. I Fill all queues using FillAllQueuesWithMessages() with 10, 100, 10000 or more messages.
Edit 2
ReceiveMessagesForQueue() returns Task instead of void now.
Edit 3 (fix)
This test does show me performance improvement now. I had to make BurnCpu() take more time. While Task.Delay() is being awaited, BurnCPU() can use the released thread to process.

Using async-await doesn't speed up the time it takes to execute a single operation, it just means that you don't have a thread waiting doing nothing.
In your case Task.Delay will take a second no matter what but here:
Task.Delay(1000).Wait();
You have a thread that sits and waits for the second to end while here:
await Task.Delay(1000);
You don't. You are still asynchronously waiting (hence, await) but no thread is being used which means better scalability.
In async-await you get the performance boost because your app can do the same with less threads, or do more with the same threads. To measure that you need to have a lot of async operations concurrently. Only then will you notice that the async option utilizes CPU resources better than the synchronous one.
More info about freeing threads here There Is No Thread

You're still running each task in its own thread from the thread pool - as you're using the default task scheduler. If you want to see performance imporvement, you'll need to make sure several tasks are performed on the same thread.
Also, with 20 parallel tasks, you're probably not going to see any difference. Try it with 2,000 tasks.

Related

Task.Run() Delay, when first called

I am running a Thread which get called in a static interval.
In this Thread I am running several Tasks (20-200).
All this works fine, but when the Thread gets called the first time, it takes like ~1 sec for one Tasks to start.
As soon as the while loop is in the second loop or when the Thread stops, and gets called a second time, the problem is gone.
public static async void UpdateThread()
{
while(!stop)
{
foreach (DSDevice device in DSDevices)
{
var task = Task.Run(() =>
{
// Delay is measured here
// Do Stuff
});
}
//No Delay
await Task.WhenAll(tasks);
Thread.Sleep(Sleeptime);
}
}
The Task.Run runs the code on the ThreadPool, and the ThreadPool creates initially a limited number of threads on demand. You can increase this limit with the SetMinThreads method:
ThreadPool.SetMinThreads(200, 200);
...but check out the documentation before doing so. Increasing this threshold is not something that you should do without thinking. Having too many ThreadPool threads defeats the purpose of having a pool in the first place. Think whether it's better to have a dedicated thread per device, for the whole life-time of the program.
As a side note, if I was in your shoes I would not parallelize the processing of the devices by creating tasks manually. I would use the Parallel.ForEach method, which exists for exactly this kind of job. As a bonus it allows to control the degree of parallelism, either to a specific number or to -1 for unlimited parallelism:
public static async Task MonitorDevicesPeriodicAsync(
CancellationToken stoppingToken)
{
while (!stoppingToken.IsCancellationRequested)
{
Task delayTask = Task.Delay(MonitorDevicesPeriodMilliseconds);
await Task.Run(() =>
{
ParallelOptions options = new() { MaxDegreeOfParallelism = -1 };
Parallel.ForEach(DSDevices, options, device =>
{
// Do Stuff with device
});
});
await delayTask;
}
}
The Parallel.ForEach invokes also the delegate on the ThreadPool (by default), and it can saturate it as easily as the await Task.WhenAll(tasks) approach, so you might need to use the ThreadPool.SetMinThreads method as well.
Three more off topic suggestions: prefer async Task over async void. Async void is intended for event handler only. Also use a CancellationToken for stopping the while loop instead of a non-volatile bool stop field. In a multithreaded environment, it's not guaranteed that the mutation of the field from one thread will be visible from other threads. Alternatively declare the field as volatile. Finally use the Task.Delay instead of the Thread.Sleep, create the Task.Delay task at the start of the iteration and await it at the end, for a stable periodic invocation.

Does async method get its own thread [duplicate]

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).

How to scale an application with 50000 Simultaneous Tasks

I am working on a project which needs to be able to run (for example) 50,000 tasks simultaneously. Each task will run at some frequency (say 5 minutes) and will be either a url ping or an HTTP GET request. My initial plan was to create thread for each task. I ran a basic test to see if this was possible given available system resources. I ran the following code as a console app:
public class Program
{
public static void Test1()
{
Thread.Sleep(1000000);
}
public static void Main(string[] args)
{
for(int i = 0; i < 50000; i++)
{
Thread t = new Thread(new ThreadStart(Test1));
t.Start();
Console.WriteLine(i);
}
}
}
Unfortunately, though it started very fast, at the 2000 thread mark, the performance was greatly decreased. By 5000, I could count faster than the program could create threads. This makes getting to 50000 seem like it wouldn't be exactly possible. Am I on the right track or should I try something else? Thanks
Many people have the idea that you need to spawn n threads if you want to handle n tasks in parallel. Most of the time a computer is waiting, it is waiting on I/O such as network traffic, disk access, memory transfer for GPU compute, hardware device to complete an operation, etc.
Given this insight, we can see that a viable solution to handling as many tasks in parallel as possible for a given hardware platform is to pipeline work: place work in a queue and process it using as many threads as possible. Usually, this means 1-2 threads per virtual processor.
In C# we can accomplish this with the Task Parallel Library (TPL):
class Program
{
static Task RunAsync(int x)
{
return Task.Delay(10000);
}
static async Task Main(string[] args)
{
var tasks = Enumerable.Range(0, 50000).Select(x => RunAsync());
Console.WriteLine("Waiting for tasks to complete...");
await Task.WhenAll(tasks);
Console.WriteLine("Done");
}
}
This queues 50000 work items, and waits until all 50000 tasks are complete. These tasks only execute on as many threads that are needed. Behind the scenes, a task scheduler examines the pool of work and has threads steal work from the queue when they need a task to execute.
Additional Considerations
With a large upper bound (n=50000) you should be cognizant of memory pressure, garbage collector activity, and other task-related overhead. You should consider the following:
Consider using ValueTask<T> to minimize allocations, especially for synchronous operations
Use ConfigureAwait(false) where possible to reduce context switching
Use CancellationTokenSource and CancellationToken to cancel requests early (e.g. timeout)
Follow best practices
Avoid awaiting inside of a loop where possible
Avoid querying tasks too frequently for completion
Avoid accessing Task<T>.Result before a task is complete to prevent blocking
Avoid deadlocks by using synchronization primitives (mutex, semaphore, condition signal, synclock, etc) as appropriate
Avoid frequent use of Task.Run to create tasks to avoid exhausting the thread pool available to the default task scheduler (this method is usually reserved for compute-bound tasks)

How do I handle Threads in Xamarin apps? [duplicate]

From my understanding one of the main things that async and await do is to make code easy to write and read - but is using them equal to spawning background threads to perform long duration logic?
I'm currently trying out the most basic example. I've added some comments inline. Can you clarify it for me?
// I don't understand why this method must be marked as `async`.
private async void button1_Click(object sender, EventArgs e)
{
Task<int> access = DoSomethingAsync();
// task independent stuff here
// this line is reached after the 5 seconds sleep from
// DoSomethingAsync() method. Shouldn't it be reached immediately?
int a = 1;
// from my understanding the waiting should be done here.
int x = await access;
}
async Task<int> DoSomethingAsync()
{
// is this executed on a background thread?
System.Threading.Thread.Sleep(5000);
return 1;
}
When using async and await the compiler generates a state machine in the background.
Here's an example on which I hope I can explain some of the high-level details that are going on:
public async Task MyMethodAsync()
{
Task<int> longRunningTask = LongRunningOperationAsync();
// independent work which doesn't need the result of LongRunningOperationAsync can be done here
//and now we call await on the task
int result = await longRunningTask;
//use the result
Console.WriteLine(result);
}
public async Task<int> LongRunningOperationAsync() // assume we return an int from this long running operation
{
await Task.Delay(1000); // 1 second delay
return 1;
}
OK, so what happens here:
Task<int> longRunningTask = LongRunningOperationAsync(); starts executing LongRunningOperation
Independent work is done on let's assume the Main Thread (Thread ID = 1) then await longRunningTask is reached.
Now, if the longRunningTask hasn't finished and it is still running, MyMethodAsync() will return to its calling method, thus the main thread doesn't get blocked. When the longRunningTask is done then a thread from the ThreadPool (can be any thread) will return to MyMethodAsync() in its previous context and continue execution (in this case printing the result to the console).
A second case would be that the longRunningTask has already finished its execution and the result is available. When reaching the await longRunningTask we already have the result so the code will continue executing on the very same thread. (in this case printing result to console). Of course this is not the case for the above example, where there's a Task.Delay(1000) involved.
From my understanding one of the main things that async and await do is to make code easy to write and read.
They're to make asynchronous code easy to write and read, yes.
Is it the same thing as spawning background threads to perform long duration logic?
Not at all.
// I don't understand why this method must be marked as 'async'.
The async keyword enables the await keyword. So any method using await must be marked async.
// This line is reached after the 5 seconds sleep from DoSomethingAsync() method. Shouldn't it be reached immediately?
No, because async methods are not run on another thread by default.
// Is this executed on a background thread?
No.
You may find my async/await intro helpful. The official MSDN docs are also unusually good (particularly the TAP section), and the async team put out an excellent FAQ.
Explanation
Here is a quick example of async/await at a high level. There are a lot more details to consider beyond this.
Note: Task.Delay(1000) simulates doing work for 1 second. I think it's best to think of this as waiting for a response from an external resource. Since our code is waiting for a response, the system can set the running task off to the side and come back to it once it's finished. Meanwhile, it can do some other work on that thread.
In the example below, the first block is doing exactly that. It starts all the tasks immediately (the Task.Delay lines) and sets them off to the side. The code will pause on the await a line until the 1 second delay is done before going to the next line. Since b, c, d, and e all started executing at almost the exact same time as a (due to lack of the await), they should finish at roughly the same time in this case.
In the example below, the second block is starting a task and waiting for it to finish (that is what await does) before starting the subsequent tasks. Each iteration of this takes 1 second. The await is pausing the program and waiting for the result before continuing. This is the main difference between the first and second blocks.
Example
Console.WriteLine(DateTime.Now);
// This block takes 1 second to run because all
// 5 tasks are running simultaneously
{
var a = Task.Delay(1000);
var b = Task.Delay(1000);
var c = Task.Delay(1000);
var d = Task.Delay(1000);
var e = Task.Delay(1000);
await a;
await b;
await c;
await d;
await e;
}
Console.WriteLine(DateTime.Now);
// This block takes 5 seconds to run because each "await"
// pauses the code until the task finishes
{
await Task.Delay(1000);
await Task.Delay(1000);
await Task.Delay(1000);
await Task.Delay(1000);
await Task.Delay(1000);
}
Console.WriteLine(DateTime.Now);
OUTPUT:
5/24/2017 2:22:50 PM
5/24/2017 2:22:51 PM (First block took 1 second)
5/24/2017 2:22:56 PM (Second block took 5 seconds)
Extra info regarding SynchronizationContext
Note: This is where things get a little foggy for me, so if I'm wrong on anything, please correct me and I will update the answer. It's important to have a basic understanding of how this works but you can get by without being an expert on it as long as you never use ConfigureAwait(false), although you will likely lose out on some opportunity for optimization, I assume.
There is one aspect of this which makes the async/await concept somewhat trickier to grasp. That's the fact that in this example, this is all happening on the same thread (or at least what appears to be the same thread in regards to its SynchronizationContext). By default, await will restore the synchronization context of the original thread that it was running on. For example, in ASP.NET you have an HttpContext which is tied to a thread when a request comes in. This context contains things specific to the original Http request such as the original Request object which has things like language, IP address, headers, etc. If you switch threads halfway through processing something, you could potentially end up trying to pull information out of this object on a different HttpContext which could be disastrous. If you know you won't be using the context for anything, you can choose to "not care" about it. This basically allows your code to run on a separate thread without bringing the context around with it.
How do you achieve this? By default, the await a; code actually is making an assumption that you DO want to capture and restore the context:
await a; //Same as the line below
await a.ConfigureAwait(true);
If you want to allow the main code to continue on a new thread without the original context, you simply use false instead of true so it knows it doesn't need to restore the context.
await a.ConfigureAwait(false);
After the program is done being paused, it will continue potentially on an entirely different thread with a different context. This is where the performance improvement would come from -- it could continue on on any available thread without having to restore the original context it started with.
Is this stuff confusing? Hell yeah! Can you figure it out? Probably! Once you have a grasp of the concepts, then move on to Stephen Cleary's explanations which tend to be geared more toward someone with a technical understanding of async/await already.
Further to the other answers, have a look at await (C# Reference)
and more specifically at the example included, it explains your situation a bit
The following Windows Forms example illustrates the use of await in an
async method, WaitAsynchronouslyAsync. Contrast the behavior of that
method with the behavior of WaitSynchronously. Without an await
operator applied to a task, WaitSynchronously runs synchronously
despite the use of the async modifier in its definition and a call to
Thread.Sleep in its body.
private async void button1_Click(object sender, EventArgs e)
{
// Call the method that runs asynchronously.
string result = await WaitAsynchronouslyAsync();
// Call the method that runs synchronously.
//string result = await WaitSynchronously ();
// Display the result.
textBox1.Text += result;
}
// The following method runs asynchronously. The UI thread is not
// blocked during the delay. You can move or resize the Form1 window
// while Task.Delay is running.
public async Task<string> WaitAsynchronouslyAsync()
{
await Task.Delay(10000);
return "Finished";
}
// The following method runs synchronously, despite the use of async.
// You cannot move or resize the Form1 window while Thread.Sleep
// is running because the UI thread is blocked.
public async Task<string> WaitSynchronously()
{
// Add a using directive for System.Threading.
Thread.Sleep(10000);
return "Finished";
}
For fastest learning..
Understand method execution flow(with a diagram): 3 mins
Question introspection (learning sake): 1 min
Quickly get through syntax sugar: 5 mins
Share the confusion of a developer : 5 mins
Problem: Quickly change a real-world implementation of normal code to
Async code: 2 mins
Where to Next?
Understand method execution flow(with a diagram): 3 mins
In this image, just focus on #6 (nothing more)
At #6 step, execution ran out of work and stopped. To continue it needs a result from getStringTask(kind of a function). Therefore, it uses an await operator to suspend its progress and give control back(yield) to the caller(of this method we are in). The actual call to getStringTask was made earlier in #2. At #2 a promise was made to return a string result. But when will it return the result? Should we(#1:AccessTheWebAsync) make a 2nd call again? Who gets the result, #2(calling statement) or #6(awaiting statement)?
The external caller of AccessTheWebAsync() also is waiting now. So caller waiting for AccessTheWebAsync, and AccessTheWebAsync is waiting for GetStringAsync at the moment. Interesting thing is AccessTheWebAsync did some work(#4) before waiting perhaps to save time from waiting. The same freedom to multitask is also available for the external caller(and all callers in the chain) and this is the biggest plus of this 'async' thingy! You feel like it is synchronous..or normal but it is not.
#2 and #6 is split so we have the advantage of #4(work while waiting). But we can also do it without splitting. So #2 will be: string urlContents = await client.GetStringAsync("...");. Here we see no advantage but somewhere in the chain one function will be splitting while rest of them call it without splitting. It depends which function/class in the chain you use. This change in behavior from function to function is the most confusing part about this topic.
Remember, the method was already returned(#2), it cannot return again(no second time). So how will the caller know? It is all about Tasks! Task was returned. Task status was waited for (not method, not value). Value will be set in Task. Task status will be set to complete. Caller just monitors Task(#6). So 6# is the answer to where/who gets the result. Further reads for later here.
Question introspection for learning sake: 1 min
Let us adjust the question a bit:
How and When to use async and await Tasks?
Because learning Task automatically covers the other two(and answers your question).
The whole idea is pretty simple. A method can return any data type(double, int, object, etc.) but here we just deny that and force a 'Task' object return! But we still need the returned data(except void), right? That will be set in a standard property inside 'Task' object eg: 'Result' property.
Quickly get through syntax sugar: 5 mins
Original non-async method
internal static int Method(int arg0, int arg1)
{
int result = arg0 + arg1;
IO(); // Do some long running IO.
return result;
}
a brand new Task-ified method to call the above method
internal static Task<int> MethodTask(int arg0, int arg1)
{
Task<int> task = new Task<int>(() => Method(arg0, arg1));
task.Start(); // Hot task (started task) should always be returned.
return task;
}
Did we mention await or async? No. Call the above method and you get a task which you can monitor. You already know what the task returns(or contains).. an integer.
Calling a Task is slightly tricky and that is when the keywords starts to appear. If there was a method calling the original method(non-async) then we need to edit it as given below. Let us call MethodTask()
internal static async Task<int> MethodAsync(int arg0, int arg1)
{
int result = await HelperMethods.MethodTask(arg0, arg1);
return result;
}
Same code above added as image below:
We are 'awaiting' task to be finished. Hence the await(mandatory syntax)
Since we use await, we must use async(mandatory syntax)
MethodAsync with Async as the prefix (coding standard)
await is easy to understand but the remaining two (async,Async) may not be :). Well, it should make a lot more sense to the compiler though.Further reads for later here
So there are 2 parts.
Create 'Task' (only one task and it will be an additional method)
Create syntactic sugar to call the task with await+async(this involves changing existing code if you are converting a non-async method)
Remember, we had an external caller to AccessTheWebAsync() and that caller is not spared either... i.e it needs the same await+async too. And the chain continues(hence this is a breaking change which could affect many classes). It can also be considered a non-breaking change because the original method is still there to be called. Change it's access (or delete and move it inside a task) if you want to impose a breaking change and then the classes will be forced to use Task-method. Anyways, in an async call there will always be a Task at one end and only one.
All okay, but one developer was surprised to see Task
missing...
Share the confusion of a developer: 5 mins
A developer has made a mistake of not implementing Task but it still works! Try to understand the question and just the accepted answer provided here. Hope you have read and fully understood. The summary is that we may not see/implement 'Task' but it is implemented somewhere in a parent/associated class. Likewise in our example calling an already built MethodAsync() is way easier than implementing that method with a Task (MethodTask()) ourself. Most developers find it difficult to get their head around Tasks while converting a code to Asynchronous one.
Tip: Try to find an existing Async implementation (like MethodAsync or ToListAsync) to outsource the difficulty. So we only need to deal with Async and await (which is easy and pretty similar to normal code)
Problem: Quickly change a real-world implementation of normal code to
Async operation: 2 mins
Code line shown below in Data Layer started to break(many places). Because we updated some of our code from .Net framework 4.2.* to .Net core. We had to fix this in 1 hour all over the application!
var myContract = query.Where(c => c.ContractID == _contractID).First();
easypeasy!
We installed EntityFramework nuget package because it has QueryableExtensions. Or in other words it does the Async implementation(task), so we could survive with simple Async and await in code.
namespace = Microsoft.EntityFrameworkCore
calling code line got changed like this
var myContract = await query.Where(c => c.ContractID == _contractID).FirstAsync();
Method signature changed from
Contract GetContract(int contractnumber)
to
async Task<Contract> GetContractAsync(int contractnumber)
calling method also got affected: GetContract(123456); was called as GetContractAsync(123456).Result;
Wait! what is that Result? Good catch! GetContractAsync only returns a Task not the value we wanted(Contract). Once the result of an operation is available, it is stored and is returned immediately on subsequent calls to the Result property.
We can also do a time-out implementation with a similar 'Wait()'
TimeSpan ts = TimeSpan.FromMilliseconds(150);
if (! t.Wait(ts))
Console.WriteLine("The timeout interval elapsed.");
We changed it everywhere in 30 minutes!
But the architect told us not to use EntityFramework library just for this! oops! drama! Then we made a custom Task implementation(yuk!). Which you know how. Still easy! ..still yuk..
Where to Next?
There is a wonderful quick video we could watch about Converting Synchronous Calls to Asynchronous in ASP.Net Core, perhaps that is likely the direction one would go after reading this. Or have I explained enough? ;)
Showing the above explanations in action in a simple console program:
class Program
{
static void Main(string[] args)
{
TestAsyncAwaitMethods();
Console.WriteLine("Press any key to exit...");
Console.ReadLine();
}
public async static void TestAsyncAwaitMethods()
{
await LongRunningMethod();
}
public static async Task<int> LongRunningMethod()
{
Console.WriteLine("Starting Long Running method...");
await Task.Delay(5000);
Console.WriteLine("End Long Running method...");
return 1;
}
}
And the output is:
Starting Long Running method...
Press any key to exit...
End Long Running method...
Thus,
Main starts the long running method via TestAsyncAwaitMethods. That immediately returns without halting the current thread and we immediately see 'Press any key to exit' message
All this while, the LongRunningMethod is running in the background. Once its completed, another thread from Threadpool picks up this context and displays the final message
Thus, not thread is blocked.
I think you've picked a bad example with System.Threading.Thread.Sleep
Point of an async Task is to let it execute in background without locking the main thread, such as doing a DownloadFileAsync
System.Threading.Thread.Sleep isn't something that is "being done", it just sleeps, and therefore your next line is reached after 5 seconds ...
Read this article, I think it is a great explanation of async and await concept: http://msdn.microsoft.com/en-us/library/vstudio/hh191443.aspx
Async & Await Simple Explanation
Simple Analogy
A person may wait for their morning train. This is all they are doing as this is their primary task that they are currently performing. (synchronous programming (what you normally do!))
Another person may await their morning train whilst they smoke a cigarette and then drink their coffee. (Asynchronous programming)
What is asynchronous programming?
Asynchronous programming is where a programmer will choose to run some of his code on a separate thread from the main thread of execution and then notify the main thread on it's completion.
What does the async keyword actually do?
Prefixing the async keyword to a method name like
async void DoSomething(){ . . .
allows the programmer to use the await keyword when calling asynchronous tasks. That's all it does.
Why is this important?
In a lot of software systems the main thread is reserved for operations specifically relating to the User Interface. If I am running a very complex recursive algorithm that takes 5 seconds to complete on my computer, but I am running this on the Main Thread (UI thread) When the user tries to click on anything on my application, it will appear to be frozen as my main thread has queued and is currently processing far too many operations. As a result the main thread cannot process the mouse click to run the method from the button click.
When do you use Async and Await?
Use the asynchronous keywords ideally when you are doing anything that doesn't involve the user interface.
So lets say you're writing a program that allows the user to sketch on their mobile phone but every 5 seconds it is going to be checking the weather on the internet.
We should be awaiting the call the polling calls every 5 seconds to the network to get the weather as the user of the application needs to keep interacting with the mobile touch screen to draw pretty pictures.
How do you use Async and Await
Following on from the example above, here is some pseudo code of how to write it:
//ASYNCHRONOUS
//this is called using the await keyword every 5 seconds from a polling timer or something.
async Task CheckWeather()
{
var weather = await GetWeather();
//do something with the weather now you have it
}
async Task<WeatherResult> GetWeather()
{
var weatherJson = await CallToNetworkAddressToGetWeather();
return deserializeJson<weatherJson>(weatherJson);
}
//SYNCHRONOUS
//This method is called whenever the screen is pressed
void ScreenPressed()
{
DrawSketchOnScreen();
}
Additional Notes - Update
I forgot to mention in my original notes that in C# you can only await methods that are wrapped in Tasks. for example you may await this method:
// awaiting this will return a string.
// calling this without await (synchronously) will result in a Task<string> object.
async Task<string> FetchHelloWorld() {..
You cannot await methods that are not tasks like this:
async string FetchHelloWorld() {..
Feel free to review the source code for the Task class here.
Here is a quick console program to make it clear to those who follow. The TaskToDo method is your long running method that you want to make async. Making it run async is done by the TestAsync method. The test loops method just runs through the TaskToDo tasks and runs them async. You can see that in the results because they don't complete in the same order from run to run - they are reporting to the console UI thread when they complete. Simplistic, but I think the simplistic examples bring out the core of the pattern better than more involved examples:
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
namespace TestingAsync
{
class Program
{
static void Main(string[] args)
{
TestLoops();
Console.Read();
}
private static async void TestLoops()
{
for (int i = 0; i < 100; i++)
{
await TestAsync(i);
}
}
private static Task TestAsync(int i)
{
return Task.Run(() => TaskToDo(i));
}
private async static void TaskToDo(int i)
{
await Task.Delay(10);
Console.WriteLine(i);
}
}
}
All the answers here use Task.Delay() or some other built in async function. But here is my example that use none of those async functions:
// Starts counting to a large number and then immediately displays message "I'm counting...".
// Then it waits for task to finish and displays "finished, press any key".
static void asyncTest ()
{
Console.WriteLine("Started asyncTest()");
Task<long> task = asyncTest_count();
Console.WriteLine("Started counting, please wait...");
task.Wait(); // if you comment this line you will see that message "Finished counting" will be displayed before we actually finished counting.
//Console.WriteLine("Finished counting to " + task.Result.ToString()); // using task.Result seems to also call task.Wait().
Console.WriteLine("Finished counting.");
Console.WriteLine("Press any key to exit program.");
Console.ReadLine();
}
static async Task<long> asyncTest_count()
{
long k = 0;
Console.WriteLine("Started asyncTest_count()");
await Task.Run(() =>
{
long countTo = 100000000;
int prevPercentDone = -1;
for (long i = 0; i <= countTo; i++)
{
int percentDone = (int)(100 * (i / (double)countTo));
if (percentDone != prevPercentDone)
{
prevPercentDone = percentDone;
Console.Write(percentDone.ToString() + "% ");
}
k = i;
}
});
Console.WriteLine("");
Console.WriteLine("Finished asyncTest_count()");
return k;
}
This answer aims to provide some info specific to ASP.NET.
By utilizing async/await in the MVC controller, it is possible to increase thread pool utilization and achieve much better throughput, as explained in the below article,
http://www.asp.net/mvc/tutorials/mvc-4/using-asynchronous-methods-in-aspnet-mvc-4
In web applications that see a large number of concurrent requests at
start-up or have a bursty load (where concurrency increases suddenly),
making these web service calls asynchronous will increase the
responsiveness of your application. An asynchronous request takes the
same amount of time to process as a synchronous request. For example,
if a request makes a web service call that requires two seconds to
complete, the request takes two seconds whether it is performed
synchronously or asynchronously. However, during an asynchronous call,
a thread is not blocked from responding to other requests while it
waits for the first request to complete. Therefore, asynchronous
requests prevent request queuing and thread pool growth when there are
many concurrent requests that invoke long-running operations.
Async / Await
Actually, Async / Await is a pair of keywords that are just syntactic sugar for creating a callback of an asynchronous task.
Take by example this operation:
public static void DoSomeWork()
{
var task = Task.Run(() =>
{
// [RUNS ON WORKER THREAD]
// IS NOT bubbling up due to the different threads
throw new Exception();
Thread.Sleep(2000);
return "Hello";
});
// This is the callback
task.ContinueWith((t) => {
// -> Exception is swallowed silently
Console.WriteLine("Completed");
// [RUNS ON WORKER THREAD]
});
}
The code above has several disadvantages. Errors are not passed on and it's hard to read.
But Async and Await come in to help us out:
public async static void DoSomeWork()
{
var result = await Task.Run(() =>
{
// [RUNS ON WORKER THREAD]
// IS bubbling up
throw new Exception();
Thread.Sleep(2000);
return "Hello";
});
// every thing below is a callback
// (including the calling methods)
Console.WriteLine("Completed");
}
Await calls have to be in Async methods. This has some advantages:
Returns the result of the Task
creates automatically a callback
checks for errors and lets them bubble up in callstack (only up to none-await calls in callstack)
waits for the result
frees up the main thread
runs the callback on the main thread
uses a worker thread from the threadpool for the task
makes the code easy to read
and a lot more
NOTE: Async and Await are used with asynchronous calls not to make these. You have to use Task Libary for this, like Task.Run() .
Here is a comparison between await and none await solutions
This is the none async solution:
public static long DoTask()
{
stopWatch.Reset();
stopWatch.Start();
// [RUNS ON MAIN THREAD]
var task = Task.Run(() => {
Thread.Sleep(2000);
// [RUNS ON WORKER THREAD]
});
// goes directly further
// WITHOUT waiting until the task is finished
// [RUNS ON MAIN THREAD]
stopWatch.Stop();
// 50 milliseconds
return stopWatch.ElapsedMilliseconds;
}
This is the async method:
public async static Task<long> DoAwaitTask()
{
stopWatch.Reset();
stopWatch.Start();
// [RUNS ON MAIN THREAD]
await Task.Run(() => {
Thread.Sleep(2000);
// [RUNS ON WORKER THREAD]
});
// Waits until task is finished
// [RUNS ON MAIN THREAD]
stopWatch.Stop();
// 2050 milliseconds
return stopWatch.ElapsedMilliseconds;
}
You can actually call an async method without the await keyword but this means that any Exception here is swallowed in release mode:
public static Stopwatch stopWatch { get; } = new Stopwatch();
static void Main(string[] args)
{
Console.WriteLine("DoAwaitTask: " + DoAwaitTask().Result + " ms");
// 2050 (2000 more because of the await)
Console.WriteLine("DoTask: " + DoTask() + " ms");
// 50
Console.ReadKey();
}
Async and Await are not meant for parallel computing. They are used to not block your main thread. When it's about asp.net or Windows applications, blocking your main thread due to a network call is a bad thing. If you do this, your app will get unresponsive or even crash.
Check out MS docs for more examples.
To be honest I still think the best explanation is the one about future and promises on the Wikipedia: http://en.wikipedia.org/wiki/Futures_and_promises
The basic idea is that you have a separate pool of threads that execute tasks asynchronously. When using it. The object does however make the promise that it will execute the operation at some time and give you the result when you request it. This means that it will block when you request the result and hasn't finished, but execute in the thread pool otherwise.
From there you can optimize things: some operations can be implemented async and you can optimize things like file IO and network communication by batching together subsequent requests and/or reordering them. I'm not sure if this is already in the task framework of Microsoft - but if it isn't that would be one of the first things I would add.
You can actually implement the future pattern sort-of with yields in C# 4.0. If you want to know how it works exactly, I can recommend this link that does a decent job: http://code.google.com/p/fracture/source/browse/trunk/Squared/TaskLib/ . However, if you start toying with it yourself, you will notice that you really need language support if you want to do all the cool things -- which is exactly what Microsoft did.
See this fiddle https://dotnetfiddle.net/VhZdLU (and improve it if possible) for running a simple console application which shows usages of Task, Task.WaitAll(), async and await operators in the same program.
This fiddle should clear your execution cycle concept.
Here is the sample code
using System;
using System.Threading.Tasks;
public class Program
{
public static void Main()
{
var a = MyMethodAsync(); //Task started for Execution and immediately goes to Line 19 of the code. Cursor will come back as soon as await operator is met
Console.WriteLine("Cursor Moved to Next Line Without Waiting for MyMethodAsync() completion");
Console.WriteLine("Now Waiting for Task to be Finished");
Task.WaitAll(a); //Now Waiting
Console.WriteLine("Exiting CommandLine");
}
public static async Task MyMethodAsync()
{
Task<int> longRunningTask = LongRunningOperation();
// independent work which doesn't need the result of LongRunningOperationAsync can be done here
Console.WriteLine("Independent Works of now executes in MyMethodAsync()");
//and now we call await on the task
int result = await longRunningTask;
//use the result
Console.WriteLine("Result of LongRunningOperation() is " + result);
}
public static async Task<int> LongRunningOperation() // assume we return an int from this long running operation
{
Console.WriteLine("LongRunningOperation() Started");
await Task.Delay(2000); // 2 second delay
Console.WriteLine("LongRunningOperation() Finished after 2 Seconds");
return 1;
}
}
Trace coming from Output Window:
I'd like to give my two cents to this, I'm sorry if any other answer contains what I will explain, I read most of it and haven't find it, but I could have missed something.
I saw a lot of missconceptions and a lot of good explanations, just want to explain async in terms of how it differs from parallel programming, that I believe will make things easier to understand.
When you need to do long computations, processor intensive work, you should opt to use parallel programming, if it's possible, to optimize cores usage. This opens some threads and process things simultaneosly.
Say you have an array of numbers and want to make some expensive long calculation with every and each one of than. Parallel is your friend.
Asyncronous programming is used in a different use case.
It's used to free your thread when you are waiting for something that do not depend on your processor, like IO for example (writing and reading to/from disk), your thread does nothing when you do IO, same thing when you are awaiting for some result from an expensive query to return from DB.
Async methods free your thread when it's waiting for something long to return results. This thread can be used by other parts of your application (in a web app it process other requests, for example) or can return to OS for other use.
When your result is done, the same thread (or another one) is given back to your application to resume processing.
Async programming is not mandatory (but a good practice) in a multithreaded environment like .net, in a web app other threads will respond to new requests, but if you are in a singlethreaded framework like nodejs it's mandatory, because you can't block your only thread, or you won't be able to anwser any other request.
To summarize, long processor intensive calculations will benefit more from parallel programming and long waiting periods that do not depend on your processor, like IO or DB query or a call to some API will benefit more from async programming.
That's why Entity Framework, for example, has an async api to save, list, find, etc...
Remember that async/await is not the same as wait or waitAll, the contexts are different. Async/await release the thread and are asyncronous programming. wait / waitAll blocks all threads (they are not released) to force syncronization in parallel context... different stuff...
Hope this is usefull for someone...
On a higher level:
1) Async keyword enables the await and that's all it does. Async keyword does not run the method in a separate thread. The beginning f async method runs synchronously until it hits await on a time-consuming task.
2) You can await on a method that returns Task or Task of type T. You cannot await on async void method.
3) The moment main thread encounters await on time-consuming task or when the actual work is started, the main thread returns to the caller of the current method.
4) If the main thread sees await on a task that is still executing, it doesn't wait for it and returns to the caller of the current method. In this way, the application remains responsive.
5) Await on processing task, will now execute on a separate thread from the thread pool.
6) When this await task is completed, all the code below it will be executed by the separate thread
Below is the sample code. Execute it and check the thread id
using System;
using System.Threading;
using System.Threading.Tasks;
namespace AsyncAwaitDemo
{
class Program
{
public static async void AsynchronousOperation()
{
Console.WriteLine("Inside AsynchronousOperation Before AsyncMethod, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
//Task<int> _task = AsyncMethod();
int count = await AsyncMethod();
Console.WriteLine("Inside AsynchronousOperation After AsyncMethod Before Await, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
//int count = await _task;
Console.WriteLine("Inside AsynchronousOperation After AsyncMethod After Await Before DependentMethod, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
DependentMethod(count);
Console.WriteLine("Inside AsynchronousOperation After AsyncMethod After Await After DependentMethod, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
}
public static async Task<int> AsyncMethod()
{
Console.WriteLine("Inside AsyncMethod, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
int count = 0;
await Task.Run(() =>
{
Console.WriteLine("Executing a long running task which takes 10 seconds to complete, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
Thread.Sleep(20000);
count = 10;
});
Console.WriteLine("Completed AsyncMethod, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
return count;
}
public static void DependentMethod(int count)
{
Console.WriteLine("Inside DependentMethod, Thread Id: " + Thread.CurrentThread.ManagedThreadId + ". Total count is " + count);
}
static void Main(string[] args)
{
Console.WriteLine("Started Main method, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
AsynchronousOperation();
Console.WriteLine("Completed Main method, Thread Id: " + Thread.CurrentThread.ManagedThreadId);
Console.ReadKey();
}
}
}
The way I understand it is also, there should be a third term added to the mix: Task.
Async is just a qualifier you put on your method to say it's an asynchronous method.
Task is the return of the async function. It executes asynchronously.
You await a Task. When code execution reaches this line, control jumps out back to caller of your surrounding original function.
If instead, you assign the return of an async function (ie Task) to a variable, when code execution reaches this line, it just continues past that line in the surrounding function while the Task executes asynchronously.
public static void Main(string[] args)
{
string result = DownloadContentAsync().Result;
Console.ReadKey();
}
// You use the async keyword to mark a method for asynchronous operations.
// The "async" modifier simply starts synchronously the current thread.
// What it does is enable the method to be split into multiple pieces.
// The boundaries of these pieces are marked with the await keyword.
public static async Task<string> DownloadContentAsync()// By convention, the method name ends with "Async
{
using (HttpClient client = new HttpClient())
{
// When you use the await keyword, the compiler generates the code that checks if the asynchronous operation is finished.
// If it is already finished, the method continues to run synchronously.
// If not completed, the state machine will connect a continuation method that must be executed WHEN the Task is completed.
// Http request example.
// (In this example I can set the milliseconds after "sleep=")
String result = await client.GetStringAsync("http://httpstat.us/200?sleep=1000");
Console.WriteLine(result);
// After completing the result response, the state machine will continue to synchronously execute the other processes.
return result;
}
}
The best example is here,enjoy:
is using them equal to spawning background threads to perform long
duration logic?
This article MDSN:Asynchronous Programming with async and await (C#) explains it explicitly:
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.
Below is code which reads excel file by opening dialog and then uses async and wait to run asynchronous the code which reads one by one line from excel and binds to grid
namespace EmailBillingRates
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
lblProcessing.Text = "";
}
private async void btnReadExcel_Click(object sender, EventArgs e)
{
string filename = OpenFileDialog();
Microsoft.Office.Interop.Excel.Application xlApp = new Microsoft.Office.Interop.Excel.Application();
Microsoft.Office.Interop.Excel.Workbook xlWorkbook = xlApp.Workbooks.Open(filename);
Microsoft.Office.Interop.Excel._Worksheet xlWorksheet = xlWorkbook.Sheets[1];
Microsoft.Office.Interop.Excel.Range xlRange = xlWorksheet.UsedRange;
try
{
Task<int> longRunningTask = BindGrid(xlRange);
int result = await longRunningTask;
}
catch (Exception ex)
{
MessageBox.Show(ex.Message.ToString());
}
finally
{
//cleanup
// GC.Collect();
//GC.WaitForPendingFinalizers();
//rule of thumb for releasing com objects:
// never use two dots, all COM objects must be referenced and released individually
// ex: [somthing].[something].[something] is bad
//release com objects to fully kill excel process from running in the background
Marshal.ReleaseComObject(xlRange);
Marshal.ReleaseComObject(xlWorksheet);
//close and release
xlWorkbook.Close();
Marshal.ReleaseComObject(xlWorkbook);
//quit and release
xlApp.Quit();
Marshal.ReleaseComObject(xlApp);
}
}
private void btnSendEmail_Click(object sender, EventArgs e)
{
}
private string OpenFileDialog()
{
string filename = "";
OpenFileDialog fdlg = new OpenFileDialog();
fdlg.Title = "Excel File Dialog";
fdlg.InitialDirectory = #"c:\";
fdlg.Filter = "All files (*.*)|*.*|All files (*.*)|*.*";
fdlg.FilterIndex = 2;
fdlg.RestoreDirectory = true;
if (fdlg.ShowDialog() == DialogResult.OK)
{
filename = fdlg.FileName;
}
return filename;
}
private async Task<int> BindGrid(Microsoft.Office.Interop.Excel.Range xlRange)
{
lblProcessing.Text = "Processing File.. Please wait";
int rowCount = xlRange.Rows.Count;
int colCount = xlRange.Columns.Count;
// dt.Column = colCount;
dataGridView1.ColumnCount = colCount;
dataGridView1.RowCount = rowCount;
for (int i = 1; i <= rowCount; i++)
{
for (int j = 1; j <= colCount; j++)
{
//write the value to the Grid
if (xlRange.Cells[i, j] != null && xlRange.Cells[i, j].Value2 != null)
{
await Task.Delay(1);
dataGridView1.Rows[i - 1].Cells[j - 1].Value = xlRange.Cells[i, j].Value2.ToString();
}
}
}
lblProcessing.Text = "";
return 0;
}
}
internal class async
{
}
}
Answering your second question - WHEN to use async - here's a fairly easy approach we use:
Long-running I/O bound task that runs longer than 50ms - use async.
Long-running CPU-bound task - use parallel execution, threads etc.
Explanation: when you're doing I/O work - sending a network request, reading data from disk etc - the actual work is done by "external" silicon (network card, disk controller etc). Once the work is done - the I/O device driver will "ping" the OS back, and the OS will execute your continuation code, callback/etc. Until then the CPU is free to do it's own work (and as a bonus you might also free up a threadpool thread which is a very nice bonus for web app scalability)
P.S. The 50ms threshold is MS's recommendation. Otherwise the overhead added by async (creating the state machine, execution context etc) eats up all the benefits. Can't find the original MS article now, but it's mentioned here too https://www.red-gate.com/simple-talk/dotnet/net-framework/the-overhead-of-asyncawait-in-net-4-5/
The answers here are useful as a general guidance about await/async. They also contain some detail about how await/async is wired. I would like to share some practical experience with you that you should know before using this design pattern.
The term "await" is literal, so whatever thread you call it on will wait for the result of the method before continuing. On the foreground thread, this is a disaster. The foreground thread carries the burden of constructing your app, including views, view models, initial animations, and whatever else you have boot-strapped with those elements. So when you await the foreground thread, you stop the app. The user waits and waits when nothing appears to happen. This provides a negative user experience.
You can certainly await a background thread using a variety of means:
Device.BeginInvokeOnMainThread(async () => { await AnyAwaitableMethod(); });
// Notice that we do not await the following call,
// as that would tie it to the foreground thread.
try
{
Task.Run(async () => { await AnyAwaitableMethod(); });
}
catch
{}
The complete code for these remarks is at https://github.com/marcusts/xamarin-forms-annoyances. See the solution called AwaitAsyncAntipattern.sln.
The GitHub site also provides links to a more detailed discussion on this topic.
The async is used with a function to makes it into an asynchronous function. The await keyword is used to invoke an asynchronous function synchronously. The await keyword holds the JS engine execution until promise is resolved.
We should use async & await only when we want the result immediately. Maybe the result returned from the function is getting used in the next line.
Follow this blog, It is very well written in simple word
Maybe my insight is relevant. async tells the compiler to treat a function specially, the function is suspendable/resumable, it saves state in some way. await suspends a function, but is also a way to enforce discipline, is restrictive; you need to specify what you are waiting for, you can't just suspend without cause, which is what makes the code more readable and perhaps also more efficient. This opens up another question. Why not await multiple things, why just one at a time? I believe this is because such a pattern established itself and programmers are following the principle of least astonishment. There exists the possibility of ambiguity: are you satisfied with just one of conditions being fulfilled, or do you want all to be fulfilled, perhaps just some of them?

List of tasks starts them synchronously - I would like them to start all at once

private async Task MainTask(CancellationToken token)
{
List<Task> tasks = new List<Task>();
do
{
var data = StaticVariables.AllData;
foreach (var dataPiece in data)
{
tasks.Add((new Task(() => DoSomething(data))));
}
Parallel.ForEach(tasks, task => task.Start());
await Task.WhenAll(tasks);
tasks.Clear();
await Task.Delay(2000);
} while (!token.IsCancellationRequested);
}
The above function is supposed to start a number of DoSomething(task) methods and run them at the same time. DoSomething has a timeout of 2 sec before it returns false. After some testing, it seems that the part between
await Task.WhenAll(tasks);
and
tasks.Clear()
is taking roughly 2 sec * number of tasks. So it would seem they do it like that:
Start task
do it or abort after 2 sec
start next task
...
How could I do it so that they all start at the same time and perform their operations simultaneously?
EDIT
Doing it like so:
await Task.WhenAll(data.Select(dataPiece => Task.Run(() => DoSomething(dataPiece)))
results in horrible performance (around 25 sec to complete the old code, 115 sec to complete this)
The issue you are seeing here is due to the fact that the thread pool maintains a minimum number of threads ready to run. If the thread pool needs to create more threads than that minimum, it introduces a deliberate 1 second delay between creating each new thread.
This is done to prevent things like "thread stampedes" from swamping the system with many simultaneous thread creations.
You can change the minimum thread limit using the ThreadPool.SetMinThreads() method. However, it is not recommended to do this, since it is subverting the expected thread pool operation and may cause other processes to slow down.
If you really must do it though, here's an example console application:
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Threading;
using System.Threading.Tasks;
namespace ConsoleApp3
{
class Program
{
static Stopwatch sw = Stopwatch.StartNew();
static void Main()
{
runTasks();
setMinThreadPoolThreads(30);
runTasks();
}
static void setMinThreadPoolThreads(int count)
{
Console.WriteLine("\nSetting min thread pool threads to {0}.\n", count);
int workerThreads, completionPortThreads;
ThreadPool.GetMinThreads(out workerThreads, out completionPortThreads);
ThreadPool.SetMinThreads(count, completionPortThreads);
}
static void runTasks()
{
var sw = Stopwatch.StartNew();
Console.WriteLine("\nStarting tasks.");
var task = test(20);
Console.WriteLine("Waiting for tasks to finish.");
task.Wait();
Console.WriteLine("Finished after " + sw.Elapsed);
}
static async Task test(int n)
{
var tasks = new List<Task>();
for (int i = 0; i < n; ++i)
tasks.Add(Task.Run(new Action(task)));
await Task.WhenAll(tasks);
}
static void task()
{
Console.WriteLine("Task starting at time " + sw.Elapsed);
Thread.Sleep(5000);
Console.WriteLine("Task stopping at time " + sw.Elapsed);
}
}
}
If you run it, you'll see from the output that running test() before setting the minimum thread pool size the tasks will take around 10 seconds (and you'll see the delay between the task start times increases after the first few tasks).
After setting the minimum thread pool threads to 30, the delay between new tasks starting is much shorter, and the overall time to run test() drops to around 5 seconds (on my PC - yours may be different!).
However, I just want to reiterate that setting the minimum thread pool size is not a normal thing to do, and should be approached with caution. As the Microsoft documentation says:
By default, the minimum number of threads is set to the number of processors on a system. You can use the SetMinThreads method to increase the minimum number of threads. However, unnecessarily increasing these values can cause performance problems. If too many tasks start at the same time, all of them might appear to be slow. In most cases, the thread pool will perform better with its own algorithm for allocating threads. Reducing the minimum to less than the number of processors can also hurt performance.
First of all, you should utilize Task.Run instead of creating and starting tasks in separate steps.
You can do so inside the loop or Linq style. If you use Linq, just ensure that you are not stuck with deferred execution, where the second task only starts after the first one is completed. Create a list, array or some other persistent collection of your selected tasks:
await Task.WhenAll(data.Select(dataPiece => Task.Run(() => DoSomething(dataPiece)).ToList());
The other problem is with the content of DoSomething. As long as this is a synchronous method, it will block its executing thread until it is done. For an inherently asynchronous operation (like pinging some network address), redesigning the method can prevent this thread blocking behavior.
Another option, as answered by Matthew Watson is to increase the amount of available threads, so each task can run in its own thread. This is not the best option, but if you have many tasks that have long blocking time without doing actual work, more threads will help to get the work done.
More threads will not help if the tasks are actually using the available physical resources, CPU or IO bound work.

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