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Learning Scala Programming

You're reading from   Learning Scala Programming Object-oriented programming meets functional reactive to create Scalable and Concurrent programs

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788392822
Length 426 pages
Edition 1st Edition
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Author (1):
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Vikash Sharma Vikash Sharma
Author Profile Icon Vikash Sharma
Vikash Sharma
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Table of Contents (16) Chapters Close

1. Getting Started with Scala Programming FREE CHAPTER 2. Building Blocks of Scala 3. Shaping our Scala Program 4. Giving Meaning to Programs with Functions 5. Getting Familiar with Scala Collections 6. Object-Oriented Scala Basics 7. Next Steps in Object-Oriented Scala 8. More on Functions 9. Using Powerful Functional Constructs 10. Advanced Functional Programming 11. Working with Implicits and Exceptions 12. Introduction to Akka 13. Concurrent Programming in Scala 14. Programming with Reactive Extensions 15. Testing in Scala 16. Other Books You May Enjoy

Tail call optimization


We are familiar with the limitations recursion brings with it. We are aware that each function call, if not tail recursive, builds a new stack frame. For scenarios where we have to deal with a large number of function calls, this could possibly result in a stack overflow, which is undesirable. So, what's suggested in this kind of scenario is to make the recursive function call the last statement in your function definition, the Scala compiler then does the rest for you. Take a look at the following:

import scala.annotation.tailrec

object TailRecursion { 
  def main(args: Array[String]): Unit = { 
      val list = List("Alex", "Bob", "Chris", "David", "Raven", "Stuart") 
    someRecursiveMethod(list) 
 
  } 
 
  /* 
      You have a sorted list of names of employees, within a company. 
      print all names until the name "Raven" comes 
  */ 
  @tailrec 
  def someRecursiveMethod(list: List[String]): Unit = { 
      list match { 
        case Nil => println("Can...
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