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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

Reactor system services


In the earlier sections, we learned that reactors delimit concurrent executions, and that event streams allow routing events within each reactor. This is already a powerful set of abstractions, and we can use reactors and event streams to write all kinds of distributed programs. However, such a model is restricted to reactor computations only. We cannot, for example, start blocking I/O operations, read from a temperature sensor implemented in hardware, wait until a GPU computation completes, or react to temporal events. In some cases, we need to interact with the native capabilities of the OS, or tap into a rich ecosystem of existing libraries. For this purpose, every reactor system has a set of services: protocols that relate event streams to the outside world.

In this section, we will take a closer look at various services that are available by default, and also show how to implement custom services and plug them into reactor systems.

The logging service

We start with...

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