Haskell equivalent of C# 5 async/await

2019-04-05 10:54发布

I just read about the new way to handle asynchronous functions in C# 5.0 using the await and async keywords. Examle from the C# reference on await:

private async Task SumPageSizesAsync()
{
    // To use the HttpClient type in desktop apps, you must include a using directive and add a 
    // reference for the System.Net.Http namespace.
    HttpClient client = new HttpClient();
    // . . .
    Task<byte[]> getContentsTask = client.GetByteArrayAsync(url);
    byte[] urlContents = await getContentsTask;

    // Equivalently, now that you see how it works, you can write the same thing in a single line.
    //byte[] urlContents = await client.GetByteArrayAsync(url);
    // . . .
}

A Task<byte[]> represents the Future of an asynchronous task that will generate a value of type byte[]. Using the keyword await on a Task will basically put the rest of the function in a continuation which will be called when the task is done. Any function that uses await must use the keyword async and have type Task<a> if it would return type a.

So the lines

byte[] urlContents = await getContentsTask;
// Do something with urlContents

would translate into something like

Task newTask = getContentsTask.registerContinuation(
               byte[] urlContents => {
                 // Do something with urlContents
               });
return newTask;

This feels a lot like a Monad (-transformer?). It feels like it should have some relation to the CPS monad, but maybe not.

Here is my attempt at writing corresponding Haskell types

-- The monad that async functions should run in
instance Monad Async
-- The same as the the C# keyword
await         :: Async (Task a) -> Async a
-- Returns the current Task, should wrap what corresponds to
-- a async method in C#.
asyncFunction :: Async a -> Async (Task a)
-- Corresponds to the method Task.Run()
taskRun       :: a -> Task a

and a rough translation of the above example

instance MonadIO Async -- Needed for this example

sumPageSizesAsync :: Async (Task ()) 
sumPageSizesAsync = asyncFunction $ do
    client <- liftIO newHttpClient
    -- client :: HttpClient
    -- ...
    getContentsTask <- getByteArrayAsync client url
    -- getContentsTask :: Task [byte]
    urlContents <- await getContentsTask
    -- urlContents :: [byte]

    -- ...

Would this be the corresponding types in Haskell? Is there any Haskell library this (or a similar way) implements way to handle asynchronous functions/actions?

Also: Could you build this using the CPS-transformer?

Edit

Yes, the Control.Concurrent.Async module does solve a similar problem (and has a similar interface), but does so in an entirely different way. I guess that Control.Monad.Task would be a closer match. What (I think) I am looking for is a monadic interface for Futures that uses Continuation Passing Style behind the scenes.

2条回答
仙女界的扛把子
2楼-- · 2019-04-05 11:29

Here's a Task monad that builds on top of the async library:

import Control.Concurrent.Async (async, wait)

newtype Task a = Task { fork :: IO (IO a) }

newTask :: IO a -> Task a
newTask io = Task $ do
    w <- async io
    return (wait w)

instance Monad Task where
    return a = Task $ return (return a)
    m >>= f  = newTask $ do
        aFut <- fork m
        a    <- aFut
        bFut <- fork (f a)
        bFut

Note that I haven't checked the monad laws for this, so it might not be correct.

This is how you would define primitive tasks that run in the background:

import Control.Concurrent (threadDelay)

test1 :: Task Int
test1 = newTask $ do
    threadDelay 1000000  -- Wait 1 second
    putStrLn "Hello,"
    return 1

test2 :: Task Int
test2 = newTask $ do
    threadDelay 1000000
    putStrLn " world!"
    return 2

Then you can combine Tasks using do notation which creates a new deferred task ready to be run:

test3 :: Task Int
test3 = do
    n1 <- test1
    n2 <- test2
    return (n1 + n2)

Running fork test3 will spawn the Task and return a future which you can invoke at any time to demand the result, blocking if necessary until done.

To show that it works, I'll do two simple tests. First, I'll fork test3 without demanding its future just to make sure it spawns the composite thread correctly:

main = do
    fork test3
    getLine -- wait without demanding the future

This works correctly:

$ ./task
Hello,
 world!
<Enter>
$

Now we can test what happens when we demand the result:

main = do
    fut <- fork test3
    n   <- fut  -- block until 'test3' is done
    print n

... which also works:

$ ./task
Hello,
 world!
3
$
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Emotional °昔
3楼-- · 2019-04-05 11:32

The monad-par library provides spawn and get functios that can be used to create Future-like computations. You can either use the Par monad for pure code that would be run in parallel, or ParIO for code with side-effects.

In particular, I think that you're code example could be translated into:

import Control.Monad.Par.IO

sumPageSizesAsync :: URL -> IO ByteString
sumPageSizesAsync url = runParIO $ do
  task <- spawn $ liftIO $ do client <- newHttpClient
                              return $ getContents url
  urlContents <- get task

As you can see, spawn is the responsible for creating code that runs in parallel, and returns an IVar which can be later on queried by get for retrieving its answer. I think the behavior of those two functions match very well async and await.

For more information I recommend you reading the Par monad chapter of Parallel and Concurrent Programming in Haskell.

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