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Scala Functional Programming Patterns

You're reading from   Scala Functional Programming Patterns Grok and perform effective functional programming in Scala

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783985845
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (13) Chapters Close

Preface 1. Grokking the Functional Way FREE CHAPTER 2. Singletons, Factories, and Builders 3. Recursion and Chasing your Own Tail 4. Lazy Sequences – Being Lazy, Being Good 5. Taming Multiple Inheritance with Traits 6. Currying Favors with Your Code 7. Of Visitors and Chains of Responsibilities 8. Traversals – Mapping/Filtering/Folding/Reducing 9. Higher Order Functions 10. Actors and Message Passing 11. It's a Paradigm Shift Index

It is a Monoid

Hark back a bit dear reader. If you recall, we had said that a Monoid needs to be associative and should have an identity value.

Instead of using groupBy and friends, we can instead think of the collections as monoids and use foldLeft. Here is an example of how we do this:

scala> val list = List("x" -> "y", "z" -> "c", "x" -> "p", "z" -> "d") // 1
list: List[(String, String)] = List((x,y), (z,c), (x,p), (z,d))
scala> Map[String, List[String]]() // 2
acc: scala.collection.immutable.Map[String,List[String]] = Map()
scala> list.foldLeft(acc) { (a, b) =>
     |   a + (b._1 -> (b._2 :: a.getOrElse(b._1, Nil)))
     | } // 3
res0: scala.collection.immutable.Map[String,List[String]] = Map(x -> List(p, y), z -> List(d, c))

The salient points of the preceding code are as follows:

  • Here, we have an input list of pairs that we need to convert into a map.
  • As the identity value...
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