There seems to be a lot of enthusiasm among Scala bloggers lately for the type classes pattern, in which a simple class has functionality added to it by an additional class conforming to some trait or pattern. As a vastly oversimplified example, the simple class:
case class Wotsit (value: Int)
can be adapted to the Foo trait:
trait Foo[T] {
def write (t: T): Unit
}
with the help of this type class:
implicit object WotsitIsFoo extends Foo[Wotsit] {
def write (wotsit: Wotsit) = println(wotsit.value)
}
The type class is typically captured at compile time with implicts, allowing both the Wotsit and its type class to be passed together into a higher order function:
def writeAll[T] (items: List[T])(implicit tc: Foo[T]) =
items.foreach(w => tc.write(w))
writeAll(wotsits)
(before you correct me, I said it was an oversimplified example)
However, the use of implicits assumes that the precise type of the items is known at compile time. I find in my code this often isn't the case: I will have a list of some type of item List[T], and need to discover the correct type class to work on them.
The suggested approach of Scala would appear to be to add the typeclass argument at all points in the call hierarchy. This can get annoying as an the code scales and these dependencies need to be passed down increasingly long chains, through methods to which they are increasingly irrelevant. This makes the code cluttered and harder to maintain, the opposite of what Scala is for.
Typically this is where dependency injection would step in, using a library to supply the desired object at the point it's needed. Details vary with the library chosen for DI - I've written my own in Java in the past - but typically the point of injection needs to define precisely the object desired.
Trouble is, in the case of a type class the precise value isn't known at compile time. It must be selected based on a polymorphic description. And crucially, the type information has been erased by the compiler. Manifests are Scala's solution to type erasure, but it's far from clear to me how to use them to address this issue.
What techniques and dependency injection libraries for Scala would people suggest as a way of tackling this? Am I missing a trick? The perfect DI library? Or is this really the sticking point it seems?
Clarification
I think there are really two aspects to this. In the first case, the point where the type class is needed is reached by direct function calls from the point where the exact type of its operand is known, and so sufficient type wrangling and syntactic sugar can allow the type class to be passed to the point it's needed.
In the second case, the two points are separated by a barrier - such as an API that can't be altered, or being stored in a database or object store, or serialised and send to another computer - that means the type class can't be passed along with its operand. In this case, given an object whose type and value are known only at runtime, the type class needs somehow to be discovered.
I think functional programmers have a habit of assuming the first case - that with a sufficiently advanced language, the type of the operand will always be knowable. David and mkniessl provided good answers for this, and I certainly don't want to criticise those. But the second case definitely does exist, and that's why I brought dependency injection into the question.
4
isforAll a. (Num a) => a
. In Scala terms, that would be[A](implicit e: Num[A])A
. Scala currently has no way of introducing type variables automatically like that, or discovering that a particular type class is required implicitly. It's my understanding that Scala's subtyping makes this problem either very difficult or intractable. This makes typeclasses considerably less user-friendly in Scala than Haskell, but they're still better than the alternatives. – Demineralize