scala - How to understand traverse, traverseU and traverseM

Question

I am confused about the usage case about traverse, traverseU and traverseM, I searched it in the scalaz website, the simple code example:

 def sum(x: Int) = x + 1

 List(1,2,3).traverseU(sum)

it looks like it is similar to (map and aggregate):

List(1,2,3).map(sum).reduceLeft(_ + _)

I think it is more than that for traverseU, I just wonder what is the difference between those 3 method, it would be better I will have some sample code to show the difference

Many thanks in advance

question from:https://stackoverflow.com/questions/26602611/how-to-understand-traverse-traverseu-and-traversem

Answer 1

sequence is used to gather together applicative effects. More concretely, it lets you "flip" F[G[A]] to G[F[A]], provided G is Applicative and F is Traversable. So we can use it to "pull together" a bunch of Applicative effects (note all Monads are Applicative):

List(Future.successful(1), Future.successful(2)).sequence : Future[List[Int]]
// = Future.successful(List(1, 2))
List(4.set("abc"), 5.set("def")).sequence : Writer[String, List[Int]]
// = List(4, 5).set("abcdef")

traverse is equivalent to map then sequence, so you can use it when you have a function that returns an Applicative and you want to just get a single instance of your Applicative rather than a list of them:

def fetchPost(postId: Int): Future[String]
//Fetch each post, but we only want an overall `Future`, not a `List[Future]`
List(1, 2).traverse[Future, String](fetchPost): Future[List[String]]

traverseU is the same operation as traverse, just with the types expressed differently so that the compiler can infer them more easily.

def logConversion(s: String): Writer[Vector[String], Int] =
  s.toInt.set(Vector(s"Converted $s"))
List("4", "5").traverseU(logConversion): Writer[Vector[String], List[Int]]
// = List("4", "5").map(logConversion).sequence
// = List(4.set("Converted 4"), 5.set("Converted 5")).sequence
// = List(4, 5).set(Vector("Converted 4", "Converted 5"))

traverseM(f) is equivalent to traverse(f).map(_.join), where join is the scalaz name for flatten. It's useful as a kind of "lifting flatMap":

def multiples(i: Int): Future[List[Int]] =
  Future.successful(List(i, i * 2, i * 3))
List(1, 10).map(multiples): List[Future[List[Int]]] //hard to work with
List(1, 10).traverseM(multiples): Future[List[Int]]
// = List(1, 10).traverse(multiples).map(_.flatten)
// = List(1, 10).map(multiples).sequence.map(_.flatten)
// = List(Future.successful(List(1, 2, 3)), Future.successful(List(10, 20, 30)))
//     .sequence.map(_.flatten)
// = Future.successful(List(List(1, 2, 3), List(10, 20, 30))).map(_.flatten)
// = Future.successful(List(1, 2, 3, 10, 20, 30))