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?
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.
Haskell is very competitive with C, and on some benchmarks, it is faster. In C, it's strict evaluation, you put a function there, and it executes one line at a time. It's how you should think of C executing.
Haskell is considered a very hard language to learn and master. On the other hand, Python is considered the easiest and most useful programming language to use.
C-- (pronounced C minus minus) is a C-like programming language. Its creators, functional programming researchers Simon Peyton Jones and Norman Ramsey, designed it to be generated mainly by compilers for very high-level languages rather than written by human programmers.
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 Task
s 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
$
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With