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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

Pipes and filters – the Scala version


Here is the Scala version. The for comprehension is similar in spirit to the preceding Unix shell pipe line:

object InvertedIdx extends App {
  val m = List("Carr" -> "And So To Murder",
          "Carr" -> "The Arabian Nights Murder",
          "Carr" -> "The Mad Hatter Mystery",
          "Christie" -> "The Murder Of Roger Ackroyd",
          "Christie" -> "The Sittaford Mystery",
          "Carr" -> "The Plague Court Murders") // 1
  val ignoreWordsSet = Set("To", "The", "And", "So", "Of") // 2
  val invertedIdx = (for { // 3
    (k, v) <- m // 4
    w <- v.split("\\W") // 5
    if !ignoreWordsSet.contains(w) // 6
  }
    yield(w -> k)).groupBy(_._1).map { case (k,v) => (k,v.map(_._2))} // 7
  println(invertedIdx)
}

The code is simple. We just write the code for comprehension, and the rest of it is so simple that it mostly works the first time you write it. If you ignore the setup of the input data, the code is effectively...

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