Type classes in Scala
Type classes in Scala
Type classes in Scala
Type classes are a powerful and flexible concept that adds ad-hoc polymorphism to Scala. They are not a first-class citizen in the language, but other built-in mechanisms allow to writing them in Scala. This is the reason why they are not so obvious to spot in code and one can have some confusion over what the ‘correct’ way of writing them is. This blog post summarizes the idea behind type classes, how they work and the way of coding them in Scala.
Type classes were introduced first in Haskell as a new approach to ad-hoc polymorphism. Philip Wadler and Stephen Blott described it in How to make ad-hoc polymorphism less ad hoc. Type classes in Haskell are an extension to the Hindley–Milner type system, implemented by that language. Type class is a class (group) of types, which satisfies some contract-defined trait, additionally, such functionality (trait and implementation) can be added without any changes to the original code. One could say that the same could be achieved by extending a simple trait, but with type classes,there is no need to predict such a demand beforehand. There is no special syntax in Scala to express a type class, but the same functionality can be achieved using constructs that already exist in the language. That’s what makes it a little difficult for newcomers to spot a type class in code. A typical implementation of a type class uses some syntactic sugar as well, which also doesn’t make it clear right away what we are dealing with. So let’s start doing our baby steps to implement a type class and understand it. .
Let’s write a type class that adds a function for getting the string representation of a given type. We make it possible for a given value to show itself. This is a
.toString equivalent. We can start by defining a trait:
We want to have
show functionality, but defined outside of each specific type definition. Let’s start by implementing
show for an Int.
We have defined a companion object for
Show to add functionality there.
intCanShow holds an implementation of
Show trait for
Int. This is a just the first step. Of course, usage is still very cumbersome, to use this function we have to:
The full implementation containing all needed imports can be found in the repo. The next step is to write the
show function, in
Show’s companion object, to avoid calling
show function takes some parameter of type
A and an implementation of the
Show trait for that type
A. Marking the
intCanShow value as implicit allows the compiler to find this implementation of
Show[A] when there is a call to:
That is basically a
type class. We’re going to transform it a little bit to make it look more like a real code (all required parts are there). We have a trait that describes the functionality and implementations for each type we care about. There is also a function which applies an implicit instance’s function to the given parameter. There is a more common way of writing the
show function by having an implicit parameter. Instead of writing:
we can use
implicitly and rewrite it to:
We also used the context bound syntax:
A: Show, which is a syntactic sugar in Scala, mainly introduced to support type classes, it basically does the rewrite we have done above (without the use of
implicitly), more information can be found here. There is one more trick (convention) often used in type classes. Instead of using
implicitly we can add an
apply function (to the
Show companion object) with only an implicit parameter list:
and use it in
This, of course, can be shortened even more:
We can improve our type class with the possibility of calling the
show function as if it were a method on the given object – with a simple
.show notation. By convention it is very often called a
Ops class allow us to write our clients’ code like this:
To avoid a runtime overhead it is possible to make the
ShowOps a value class and move the type class’ constraint to the show function, like this:
After some of the rewrites placed above, the companion object of
Show looks like this:
Now we can add one more instance of our type class, the one responsible for showing strings. It’s similar to the one showing ints.
In fact, this is so similar that we want to abstract it – what can be done with a function to create instances for different types? We can rephrase it as a “constructor” for type class instances.
The snippet above presents a helper function
instance that abstracts the common code and its usage for
String instances. With Scala 2.12 we can use Single Abstract Methods, in result, the code is even more concise.
This is a simple type class that defines two ways of calling the
show function (
.show). It also defines instances for two types: Int and String.
We may encounter a need to redefine some default type class instances. With the implementation above, if all default instances were imported into scope we cannot achieve that. The compiler will have ambiguous implicits in scope and will report an error. We may decide to move the
show function and the
ShowOps implicit class to another object (let say
ops) to allow users of this type class to redefine the default instance behaviour (with Category 1 implicits, more on categories of implicits). After such a modification, the
Show object looks like this:
Usage does not change, but now the user of this type class may import only:
Default implicit instances are not brought as Category 1 implicits (although they are available as Category 2 implicits), so it’s possible to define our own implicit instance where we use such type class. This is a basic type-class that we have been coding from the very beginning.
The creator of a type class often provides its instances for popular types, but our own types are not always supported (it depends on the library provider, whether some kind of products/coproducts derivation is implemented). Nothing stops us from writing our implementation for the type class. That, of course, looks exactly the same as if we would like to redefine the default instance that was provided by the implementer of the type class. While implementing our own instance the code follows the same pattern but could be implemented in a different location than the trait and the ops classes of the type class. Moreover, the type class is in our code base we may add this instance next to the default instances defined in type class trait’s companion object. As an example, let’s define a way to show a
Foo case class and its instance outside of the type class companion object:
This paragraph is a little off-topic, but worth mentioning. The way type classes are implemented in Scala (with implicits) makes it possible to automatically derive type-class instances for our own created types using Shapeless. For example, we could derive the
show function (from previous paragraphs) for every case-class (actually for every product type) defined in our code. We would need to define instances for basic types and define
show for product types, but it would have reduced so much boilerplate in our code! Similar derivation can be achieved with runtime reflection or compile-time macros.
Simulacrum is a project that adds syntax for type classes using macros. Whether to use it or not depends on your preferences. If it is used, it’s trivial to find all type classes in our code and reduce some boilerplate. Moreover, a project that uses
@typeclass has to depend on the macro paradise compiler plugin. The equivalent of our
Show example with an instance only for Int would look like this:
As you can see, the definition of a type class is very concise. On the usage side nothing changes – we would use it like this:
There is an additional annotation
@op that may change the name of the generated function and/or add some alias to the generated method (i.e.
|+| notation for summing). Proper imports can be found in repo.
Type classes use implicits as a mechanism for matching instances with code that uses them. Type classes come with benefits and costs related to implicits. It is possible to define multiple instances of type class for the same type. The compiler uses implicit resolution to find an instance that is the closest in the scope. In comparison, a type class in Haskell can only have one instance. In Scala, we can define an instance and pass it as a parameter explicitly (not relying on implicit resolution), which makes the usage less convenient, but may be useful. Our
Show example needs a little modification to allow usage in a scenario, where we would like to pass instances explicitly. Let’s add a
showExp function to the
Now, it’s possible to only run the
.showExp function or define and provide an instance of
The first invocation uses the implicit found in scope, to the second invocation we pass the
hipsterString instance of
Show. The other way (more common) to achieve the same result – without adding an extra function, but fully relying on implicits – is to create a Category 1 implicit that would take precedence over the default instance (a Category 2 implicit). This would look like this:
"baz" would use the default instance defined in
"bazbaz" would use
hipsterString instance. The Scala way of implementing a type class (using implicits) could also cause some problems, which are described in the next paragraph.
With the power of implicits comes a cost. We can’t have two type class instances for some type T with the same precedence. This doesn’t sound like a terrible problem, but it does cause some real issues. It’s quite easy to get a compiler error (about ambiguous implicits) while using libraries like
Scalaz, which rely heavily on type classes and build their types as a hierarchy (by subtyping). That is in detail described here. The problem is mainly related to the way type classes are implemented. Very often both ambiguous implicits implement exactly the same behavior, but the compiler can’t know about it. There are ongoing discussions on how to fix this. Errors may also be misleading, because the compiler doesn’t know what a type class is, e.g. for our
Show type class used in such a way:
the compiler can only say that
value show is not a member of Boolean. A similar error message is even reported when ambiguous implicits definitions are found, but the
.show notation was used.
Open source is a perfect place to look for examples of type classes. I would like to name two projects:
- Cats uses type classes as a primary way to model things and simulacrum. Instances are implemented in separate traits, Ops are grouped in syntax traits.
- Shapeless relies heavily on type classes. The power of shapeless is the ability to work on
HLists and derive type classes to add new functionality.
Future of type classes
There are different attempts and discussions on how to add syntax for type classes:
There is also some ongoing discussion on the coherence of type classes:
Type classes as a concept are quite easy, but there are various corner cases when it comes to its implementation in Scala. The concept is rather used in libraries than in business applications, but it’s good to know the type classes and potential risks of using them. Scale fast with Scalac – Scala development company ready to solve all your challenges.