Today, we’re going to look at an extension that radically alters the behavior of GHC Haskell by extending what we can do with types. The extension that we’re looking at is known as type families, and it has a wide variety of applications.
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE TypeFamilies #-}
import Control.Concurrent.STM
import Control.Concurrent.MVar
import Data.Foldable (forM_)
import Data.IORef
As the extension is so large, we’re only going to touch the surface of the capabilities - though this extension is well documented, so there’s plenty of extra reading for those who are interested!
To begin, lets look at the interaction of type families and type classes. In ordinary Haskell, a type class can associate a set of methods with a type. The type families extension will now allow us to associate types with a type.
As an example, lets try and abstract over the various mutable stores that we have available in Haskell. In the IO
monad, we can use IORef
s and MVar
s to store data, whereas other monads have their own specific stores, as we’ll soon see. To begin with, we’ll start with a class over the different types of store:
class IOStore store where
newIO :: a -> IO (store a)
getIO :: store a -> IO a
putIO :: store a -> a -> IO ()
This works fine for IO
stores: we can add an instance for MVar
…
instance IOStore MVar where
= newMVar
newIO = readMVar
getIO = modifyMVar_ mvar (return . const a) putIO mvar a
and an instance for IORef
:
instance IOStore IORef where
= newIORef
newIO = readIORef
getIO = modifyIORef ioref (const a) putIO ioref a
Now we have the ability to write functions that are polymorphic over stores:
type Present = String
storePresentsIO :: IOStore store => [Present] -> IO (store [Present])
= do
storePresentsIO xs <- newIO []
store $ \x -> do
forM_ xs <- getIO store
old : old)
putIO store (x return store
While this example is obviously contrived, hopefully you can see how we are able to interact with a memory store without choosing which store we are commiting to. We can use this by choosing the type we need, as the following GHCI session illustrates:
.> s <- storePresentsIO ["Category Theory Books"] :: IO (IORef [Present])
.> :t s
s :: IORef [Present]
.> get s
["Category Theory Books"]
Cool - now we can go and extend this to TVar
and other STM
cells! Ack… there is a problem. Reviewing our IOStore
type class, we can see that we’ve commited to working in the IO
monad - and that’s a shame. What we’d like to be able to do is associate the type of monad with the type of store we’re using - as knowing the store tells us the monad that we have to work in.
To use type families, we use the type
keyword within the class
definition, and specify the kind of the type:
class Store store where
type StoreMonad store :: * -> *
new :: a -> (StoreMonad store) (store a)
get :: store a -> (StoreMonad store) a
put :: store a -> a -> (StoreMonad store) ()
As you can see, the types of the methods in the type class has become a little more complicated. Rather than working in the IO
monad, we calculate the monad by using the StoreMonad
type family.
The instances are similar to what we saw before, but we also have to provide the necessary type of monad:
instance Store IORef where
type StoreMonad IORef = IO
= newIORef
new = readIORef
get = modifyIORef ioref (const a)
put ioref a
instance Store TVar where
type StoreMonad TVar = STM
= newTVar
new = readTVar
get = modifyTVar ioref (const a) put ioref a
As you can see - our methods don’t need to change at all; type families naturally extend the existing type class functionality. Our original storePresentsIO
can now be made to work in any monad, with only a change to the type:
storePresents :: (Store store, Monad (StoreMonad store))
=> [Present] -> (StoreMonad store) (store [Present])
= do
storePresents xs <- new []
store $ \x -> do
forM_ xs <- get store
old : old)
put store (x return store
As we have an instance for Store TVar
, we can now use this directly in an STM
transaction:
.> atomically (do (storePresents ["Distributed Computing Through Combinatorial Topology"]
:: STM (TVar [Present])) >>= get)
["Distributed Computing Through Combinatorial Topology"]
Awesome!
What we’ve seen so far is extremely useful, but the fun needn’t stop there! Type families also give us the ability to compute over types! Traditionally, Haskell is built around value level computation - running programs should do something. That said, we all know how useful it is to have functions - so why can’t we have them at the type level? Well, now that we have the ability to associate types with types, we can!
To look at this new functionality (closed type families), we need a few more extensions to really unlock the potential here, so I’ll finish this blog post on that cliff hanger. Watch this space!
This post is part of 24 Days of GHC Extensions - for more posts like this, check out the calendar.
You can contact me via email at ollie@ocharles.org.uk or tweet to me @acid2. I share almost all of my work at GitHub. This post is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.