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Jan van Brügge
Jan van Brügge

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What the heck is polymorphism?

Polymorphism is the idea of defining data structures or algorithms in general, so you can use them for more than one data type. The complete answer is a bit more nuanced though. Here I have collected the various forms of polymorphism from the common types that you most likely already used, to the less common ones, and compare how they look in object-oriented or functional languages.

Parametric polymorphism

This is a pretty common technique in many languages, albeit better known as "Generics". The core idea is to allow programmers to use a wildcard type when defining data structures that can later be filled with any type. Here is how this looks in Java for example:

class List<T> {
    class Node<T> {
        T data;
        Node<T> next;

    public Node<T> head;

    public void pushFront(T data) { /* ... */ }
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The T is the type variable because you can later "assign" any type you want:

List<String> myNumberList = new List<String>();
myNumberList.pushFront(8) // Error: 8 is not a string
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Here the list can only contain elements of type string and nothing else. We get helpful compiler errors if we try to violate this. Also, we did not have to define the list for every possible data type again, because we can just define it for all possible types.

But not only imperative or object oriented languages have parametric polymorphism, it is also very common in functional programming. For example in Haskell, a list is defined like this:

data List a = Nil | Cons a (List a)
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This definition means: A list takes a type parameter a (everything left of the equals sign defines the type) and is either an empty list (Nil) or an element of type a and a list of type List a. We don't need any external pushFront method, because the second constructor already does this:

let emptyList = Nil
    oneElementList = Cons "foo" emptyList
    twoElementList = Cons 8 oneElementList -- Error: 8 is not a string
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Ad-hoc polymorphism

This is more commonly known as function or operator overloading. In languages that allow this, you can define a function multiple times to deal with different input types. For example in Java:

class Printer {
    public String prettyPrint(int x) { /* ... */ }
    public String prettyPrint(char c) { /* ... */ }
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The compiler will automatically choose the right method depending on the type of data you pass to it. This can make APIs easier to use as you can just call the same function with any type and you do not have to remember a bunch of variants for different types (à la print_string, print_int, etc).

In Haskell, Ad-hoc polymorphism works via type classes. Type classes are a bit like interfaces in object oriented languages. See here for example the same pretty printer:

class Printer p where
    prettyPrint :: p -> String

instance Printer Int where
    prettyPrint x = -- ...

instance Printer Char where
    prettyPrint c = -- ...
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Subtype polymorphism

Subtyping is better known as object oriented inheritance. The classic example is a vehicle type, here in Java:

abstract class Vehicle {
    abstract double getWeight();

class Car extends Vehicle {
    double getWeight() { return 10.0; }

class Truck extends Vehicle {
    double getWeight() { return 100.0; }

class Toyota extends Car { /* ... */ }

static void printWeight(Vehicle v) {
    // Allowed because all vehicles have to have this method
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Here we can use any child class of the vehicle class as if it was a vehicle class directly. Note that we cannot go the other way, because not every vehicle is guaranteed to be a car for example.

This relation gets a bit hairy when you are allowed to pass functions around, here for example in Typescript:

const driveToyota = (c: Toyota) => { /* ... */ };
const driveVehicle = (c: Vehicle) => { /* ... */ };

function driveThis(f: (c: Car) => void): void { /* ... */ }
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Which of the two functions are you allowed to pass to driveThis? You might think the first one, after all as we have seen above a function that expects an object can also be passed its subclasses (see the printWeight method). But this is wrong if you pass a function. You can think of it like this: driveThis wants something that can accept any car. But if you pass in driveToyota, the function can only deal with Toyotas which is not enough. On the other hand if you pass in a function that can drive any vehicle (driveVehicle), this also includes cars, so driveThis would accept it.

As Haskell is not object oriented, subtyping would not make much sense.

Row polymorphism

Now we come to the less commonly used types of polymorphism that are only implemented in very few languages.

Row polymorphism is like the little brother of subtyping. Instead of saying every object in the form { a :: A, b :: B } is also a { a :: A }, we allow to specify a row extension: { a :: A | r }. This makes it easier to use in functions, as you do not have to think if you are allowed to pass the more specific or the more general type, but instead you just check if you type matches the pattern. So { a :: A, b :: B } matches { a :: A | r } but { b :: B, c :: C} does not. This also has the advantage that you do not lose information. If you cast a Car to a Vehicle you have lost the information which specific vehicle the object was. With the row extension, you keep all the information.

printX :: { x :: Int | r } -> String
printX rec = show rec.x

printY :: { y :: Int | r } -> String
printY rec = show rec.y

-- type is inferred as `{x :: Int, y :: Int | r } -> String`
printBoth rec = printX rec ++ printY rec
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One of the most popular languages implementing row polymorphism is PureScript and I am also currently working on bringing it to Haskell.

Kind polymorphism

Kinds are sort of the types of types. We all know values, it's the data that every function deals with. 5, "foo", false are all examples of values. Then there is the type level, describing values. This should also be very known to programmers. The types of the three values before are Int, String and Bool. But there is even a level above that: Kinds. The kind of all types is Type also written as *. So this means 5 :: Int :: Type (:: means "has type"). There are also other kinds. For example while our list type earlier is a type (List a), what is List (without the a)? It still needs another type as argument to form a normal type. Therefore its kind is List :: Type -> Type. If you give List another type (for example Int) you get a new type (List Int).

Kind polymorphism is when you can define a type only once but still use it with multiple kinds. The best example is the Proxy data type in Haskell. It is used to "tag" a value with a type:

data Proxy a = ProxyValue

let proxy1 = (ProxyValue :: Proxy Int) -- a has kind `Type`
let proxy2 = (ProxyValue :: Proxy List) -- a has kind `Type -> Type`
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Higher-rank polymorphism

Sometimes, normal ad-hoc polymorphism is not enough. With ad-hoc polymorphism you provide many implementations for different types and the consumer of your API chooses which type he wants to use. But sometimes you as producer of an API wants to choose which implementation you want to use. This is where you need higher-rank polymorphism. In Haskell this looks like this:

-- ad-hoc polymorphism
f1 :: forall a. MyTypeClass a => a -> String
f1 = -- ...

-- higher-rank polymorphism
f2 :: Int -> (forall a. MyTypeClass a => a -> String) -> Int
f2 = -- ...
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Instead of having the forall on the outer most place, we push it inwards and therefore declare: Pass me a function that can deal with any type a that implements MyTypeClass. You can probably see that f1 is such a function, so you are allowed to pass it to f2.

The standard example why this is useful is the so called "ST-Trick". It is what allows Haskell to have mutable state that cannot escape the scope:

doSomething :: ST s Int
doSomething = do
    ref <- newSTRef 10
    x <- readSTRef ref
    writeSTRef (x + 7)
    readSTRef ref
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The s parameter here is important, every stateful operation requires the same s in the signature. The magic is now the function that converts a stateful computation to a pure one, runST:

runST :: forall a. (forall s. ST s a) -> a
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You can see that s is created using higher-rank polymorphism. As we do not specify any constraints on what the s is, the stateful computation cannot do anything with it except passing it around in the type signatures. It behaves just like the "tag" of Proxy. And because it only defined in the scope of the stateful action (by the inner forall), every attempt at leaking anything from the computation is an error in the compiler.

Linearity polymorphism

Linearity polymorphism is connected to linear types, aka types that track "usage" of data. A linear type tracks the so called multiplicity of some data. In general you distinguish 3 different multiplicities: "zero", for stuff that exists only at type level and is not allowed to be used at value level; "one", for data that is not allowed to be duplicated (file descriptors would be an example for this) and "many" which is for all other data.

Linear types are useful to guarantee resource usage. For example if you fold over a mutable array in a functional language. Normally you would have to copy the array at every step or you have to use low-level unsafe functions. But with linear types you can guarantee that this array can only be used at one place at a time, so no data races can happen.

The polymorphism aspect comes into play with functions like the mentioned fold. If you give fold a function that uses its argument only once, the whole fold will use the initial value only once. If you pass a function that uses the argument multiple times, the initial value will also be used multiple times. Linarity polymorphism allows you to define the function only once and still offer this guarantee.

Linear types are similar to Rust's borrow checker, but Rust does not really have linearity polymorphism. Haskell is getting linear types and polymorphism soon.

Levity polymorphism

In Haskell all normal data types are just references to the heap, just like in Python or Java, too. But Haskell allows also to use so called "unlifted" types, meaning machine integers directly for example. This means that Haskell actually encodes memory layout and location (stack or heap) of data types on the type level! These can be used to further optimize code, so the CPU does not have to first load the reference and then request the data from the (slow) RAM.

Levity polymorphism is when you define functions that work on lifted as well as unlifted types.

Top comments (19)

hiasltiasl profile image
Matthias Perktold • Edited

Thanks for this!

Regarding subtype polymorphism, I think you can use type classes to achieve something similar.
For instance, the type class for your Vehicle example would look like:

class Vehicle v where
    getWeight :: v -> Int

Each 'subtype' can then be modelled as an instance of Vehicle that implements the getWeight function accordingly.

Now I'm far from a Haskell expert, so what do you think about this relation between subtype polymorphism and type classes?

You can also view it from the other side: If you want to model a Haskell type class in Java, you would use an interface, i.e. subtype polymorphism.

For instance, if we take the Functor type class with the fmap function, we would introduce a Functor<T> interface with an fmap method. Functor instances would then be modelled as classes that implement the Functor interface.

jvanbruegge profile image
Jan van Brügge • Edited

Yeah, you can emulate parts of it with ad-hoc polymorphism, but it remains an approximation because type classes are more like interfaces and not like base classes. You can't do something like super.getWeight().

On the other hands interfaces (at least in Java) are not powerful enough to model type classes either. For simple type classes like Semigroup or Monoid this works perfectly:

class Semigroup a where
    (<>) :: a -> a -> a

class Semigroup a => Monoid a where
    mempty :: a

and in Java:

public interface Semigroup<T> {
    T combine(T a, T b);

public interface Monoid<T> extends Semigroup<T> {
    T mempty();

The problem is the more complicated type classes like Functor or Monad. More specifically the type classes that use higher kinded types. You see above that the a from the Monoid definition is directly used in the type signature. This means it can only have the kind Type. But take the definition of Functor for example:

class Functor f where
    fmap :: (a -> b) -> f a -> f b

The f is not directly used, but it is partially applied to another type. This means that f has kind Type -> Type, ie it is a type constructor. In Java this would mean that you would need a generic generic type, something like this:

public interface Functor<F<?>> {
    <A,B> F<B> fmap(Function<A, B> f, F<A> x);

which is not valid Java at all.

hiasltiasl profile image
Matthias Perktold

Thanks for the detailed answer!

You are right, even though the two concepts overlap a bit, there is quite some mismatch.

wongjiahau profile image
WJH • Edited

Nice article! It helps me a lot on contemplating about the design of my programming language.

I kind of understand every category of polymorphism you mentioned, but I still couldn’t understand how can higher-rank polymorphism is useful.

So, do you mind to provide any practical example of higher rank polymorphism (It would be better if the example you provided is actually used in industrial code, not just in the academia)

jvanbruegge profile image
Jan van Brügge

Yes, I've added a paragraph about the ST trick there. Another possible use case would be callback functions that receive data from your API:

withHook: (forall a. IsApiData a => a -> IO ()) -> IO ()

This allows withHook to send any data to the callback that implements the IsApiData type class

drbearhands profile image

I'm confused, isn't this ad-hoc (or 'first-rank' I guess) as it only quantifies over a?

Thread Thread
jvanbruegge profile image
Jan van Brügge

No, as you can see the forall is in the parenthesis, the scope does not go until the return type

Thread Thread
drbearhands profile image

herp derp, realized it myself just now, ∀x(P(x))->Q ≠ ∀x(P(x)->Q).

So this would require an an ad-hoc polymorphic function as argument, yes?

Thread Thread
jvanbruegge profile image
Jan van Brügge

Correct 👍

jacksonelfers profile image
Jackson Elfers

Ever read animorphs?

jvanbruegge profile image
Jan van Brügge

No, I haven't 😅

jacksonelfers profile image
Jackson Elfers • Edited

It's a children's book that people like to poke fun at for its hilarious cover art. I always imagine it when I think of polymorphism and it gives me a good chuckle. Might be a bit of a non sequitur. 😁 Great article btw.

rhymes profile image

Great article Jan, I knew of only a subset of them. Haskell definitely blows my mind :D

jasontechnology profile image

Us grey beards call that a union :-)

jvanbruegge profile image
Jan van Brügge • Edited

Call what a union? I don't see any way a C union could be considered polymorphic. It is basically just a convenience for casting.

Or do you mean that a union is as far as you can bring C's type system?

madhadron profile image
Fred Ross

Not quite. It's implemented as a tagged union, but the power comes from building a full algebra that makes type composition trivial and very easy to reason about (thus the phrase "algebraic data type"). Their history goes back to the 1970's, so they're not much younger than C and they're older than object oriented programming.

occipita profile image

"Their history goes back to the 1970's, so they're [...] older than object oriented programming."

Errr... Object oriented programming dates back to Simula 67, released in 1967 (or even further -- you can do OOP without language support, as long as your language supports indirect function calls, and there are anecdotal stories of people creating objects in assembly language all the way back to the 50s).

wiltel492019 profile image

Great explaination. Of Haskell and or Code Computer Programming Language's.

igrep profile image

One of the most popular languages implementing row polymorphism is PureScript

How about OCaml?