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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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 Prokopec Prokopec
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Table of Contents (18) Chapters Close

Learning Concurrent Programming in Scala
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Introduction 2. Concurrency on the JVM and the Java Memory Model FREE CHAPTER 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

Creating and handling processes


So far, we focused on concurrency within a Scala program running in a single JVM process. Whenever we wanted to allow multiple computations to proceed concurrently, we created new threads or sent Runnable objects to Executor threads. Another venue to concurrency is to create separate processes. As explained in Chapter 2, Concurrency on the JVM and the Java Memory Model, separate processes have separate memory spaces and cannot share the memory directly.

There are several reasons why we occasionally want to do this. First, while JVM has a very rich ecosystem with thousands of software libraries for all kinds of tasks, sometimes, the only available implementation of a certain software component is a command-line utility or prepackaged program. Running it in a new process could be the only way to harvest its functionality. Second, sometimes we want to put Scala or Java code that we do not trust in a sandbox. A third-party plugin might have to run with a reduced...

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