Microsoft F# Fsharp

In this blog I have some posts about F# because this language seems to be interesting and is becoming popular in some companies. In this post I want to show you the reduce Function in F#.

If you have a sequence of numbers that you want to sum, F# defines the sum operation in all of the sequential collection modules:

But what if you want to multiply all those numbers together? Well, it turns out that sum is just a special case of a more general function that the sequential collection modules also define: reduce. The reduce operation takes all the elements in a collection and combines them in some way to produce a single value. It uses a binary operation to combine the first two values. Then it takes the result of that first combination and combines it with the next element in the collection, and then the next, and so on through the end of the collection.

Here’s an illustration of how to use reduce to implement a product operation:

Using Reduce to Calculate the Product of All Numbers in a List
Using Reduce to Calculate the Product of All Numbers in a List

The code looks like this:

let product =
  [2;5;3;6]
  |> Seq.reduce (fun x y -> x * y)
// val product : int = 180

Another special case of reduce is String.concat—also known as a join operation—which allows you to concatenate a sequence of strings together with a separator in between each. Here’s how it works:

Using Reduce to Join a List of Strings Together with a Separator
Using Reduce to Join a List of Strings Together with a Separator

See how similar it is to the product operation above? If you should want to implement String.concat yourself, you could use reduce like this:

let joined =
  ["do";"mi";"sol";"do"]
  |> Seq.reduce (fun x y -> x + "-" + y)
// val joined : string = "do-mi-sol-do"

Here is the documentation on reduce in each of the sequential collection modules:

Now a few of caveats about reduce:

  • You cannot use reduce on an empty collection. You will get an exception if you do, so make sure you check to make sure your collection is not empty before you pass it to reduce.
  • The result of a reduce operation is always the same type as the elements in the collection. In other words, you can only reduce a collection of type A to a value of type A. You cannot reduce a collection of type A to a value of type B.
  • Finally, order matters if the order of your binary operation matters. In other words, with addition and multiplication, order does not matter. That is, a + b is the same as b + a. (Mathematicians say that such a function is commutative). But with something like subtraction, order does matter. In other words, a − b does not necessarily produce the same result as b − a. So, make sure that your binary operation applies the reduction to its operands in the correct order.

Having noted these caveats, next week, we will cover the fold operation. It operates almost the same way as reduce in that it walks a collection, applying a binary operation to each element. The fold operation cannot help us with that last point—order still matters—but it can handle an empty collection and, if necessary, produce a result that is of a type different from the type of the source collection’s elements.

And this is the reduce function in F#!

Happy coding!

By Enrico

My greatest passion is technology. I am interested in multiple fields and I have a lot of experience in software design and development. I started professional development when I was 6 years. Today I am a strong full-stack .NET developer (C#, Xamarin, Azure)

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