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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Dive into the Scala framework with this programming guide, created to help you learn Scala and to build intricate, modern, scalable concurrent applications

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Product type Paperback
Published in Nov 2014
Publisher Packt
ISBN-13 9781783281411
Length 366 pages
Edition 1st Edition
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Author (1):
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Aleksandar Prokopec Aleksandar Prokopec
Author Profile Icon Aleksandar Prokopec
Aleksandar Prokopec
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Table of Contents (11) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Concurrency on the JVM and the Java Memory Model 3. Traditional Building Blocks of Concurrency 4. Asynchronous Programming with Futures and Promises 5. Data-Parallel Collections 6. Concurrent Programming with Reactive Extensions 7. Software Transactional Memory 8. Actors 9. Concurrency in Practice Index

Implementing custom parallel collections


Parallel collections in the Scala standard library are sufficient for most tasks, but in some cases we want to add parallel operations to our own collections. The Java String class does not have a direct parallel counterpart in the parallel collections framework. In this section, we will study how to implement a custom ParString class that supports parallel operations. We will then use our custom parallel collection class in several example programs.

The first step to implementing a custom parallel collection is to extend the correct parallel collection trait. A parallel string is a sequence of characters, so we need to extend the ParSeq trait with the Char type argument. Once a string is created, it can no longer be modified; we say that the string is an immutable collection. For this reason, we extend a subtype of the scala.collection.parallel.ParSeq trait, the ParSeq trait from the scala.collection.parallel.immutable package:

class ParString(val...
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