Functors and Monads, briefly

What's a Functor?

a type of mapping between categories arising in category theory.

Functors can be thought of as homomorphisms between categories

What's a Functor?

  • In Scala, this means things that can be mapped over
  • Much more plainly stated: allows you to apply a mapping function to a context
val opt: Option[Int] = Some(3)
val intToString: Int => String = (i: Int) => i.toString
// apply map from type A (Int) to type B (String)
val res: Option[String] = opt.map(i => intToString(i))
> Some("3")

What's a Functor?

Examples of Functors

  • Option[T]
  • List[T]
  • org.apache.spark.sql.Dataset[T] (kind of)

What's a Monad?

an endofunctor (a functor mapping a category to itself), together with two natural transformations.

  • Simply stated: structures that allow you to sequence computations consisting of inputs, outputs, and their context
  • Formalizing sequential programs with context

What's a Monad?

Why Monads?

  • Write your functions without having to handle context every time
  • Chain together functions sequentially (monadically) while automatically handling context with flatMap
  • function: A => F[B]
def apiCall(url: String): Task[WebResponse] = { ... }
def saveToDatabase(resp: WebResponse): Task[DatabaseResponse] = { ... }

val dbResp: Task[DatabaseResponse] =
  apiCall("http://google.com").flatMap { webResponse =>
    saveToDatabase(webResponse)
  }

Examples of Monads

  • Option[T]  (optionality)
  • Try[T] (error/exception handling)
  • Future[T]/Task[T] (asynchrony)
  • Either[A, B] (usable for error handling)

Why any of this?

  • Higher-order abstractions in every day code can be captured in the type system, rooted in category theory
    • Must follow higher-order logic as well - laws
  • Code reuse
  • Higher-order ways to structure your code
    • Free monads
    • Final tagless

Functor Laws

// Identity law

Some(3).map(identity) == Some(3)

// Composition

val plusOne: Int => Int = (x: Int) => x + 1
val timesThree: Int => Int = (y: Int) => y * 3

Some(3).map(plusOne).map(timesThree) == Some(3).map(plusOne compose timesThree)

Monad Laws

  • Left identity
  • Right identity
  • Associativity
  • See: https://devth.com/2015/monad-laws-in-scala

Additional reading

Functors and Monads

By longcao

Functors and Monads

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