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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Practical Multithreading in Scala

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786466891
Length 434 pages
Edition 2nd 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 10. Reactors

Reactors


As we learned previously, event streams always propagate events on a single thread. This is useful from the standpoint of program comprehension, but we still need a way to express concurrency in our programs. In this section, we will see how to achieve concurrency by using entities called reactors.

A reactor is the basic unit of concurrency. While actors receive messages, we will adopt the terminology in which reactors receive events, in order to disambiguate. However, while an actor a in particular state has only a single point where it can receive a message, namely, the receive statement, a reactor can receive an event from many different sources at any time. Despite this flexibility, one reactor will always process, at most, one event at any time. We say that events received by a reactor are serialized, similar to how messages received by an actor are serialized.

To be able to create new reactors, we need a ReactorSystem object, which tracks reactors in a single machine:

val system...
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