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Learning Concurrent Programming in Scala

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

Product type Paperback

Published in Feb 2017

Publisher

ISBN-13 9781786466891

Length 434 pages

Edition 2nd Edition

Languages

Scala

Concepts

Concurrency

Author (1):

Prokopec

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Table of Contents (11) Chapters

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

Summary

First-class event streams are an extremely expressive tool for modelling dynamic, event-based systems with time-varying values. Rx Observable objects are an event stream implementation designed to build scalable, concurrent, event-based applications. In this chapter, we saw how to create Rx Observable objects and how to subscribe to their events. We studied the Observable contract and learned how to compose complex Observable objects from simple ones. We investigated various ways of recovering from failures and saw how to use Rx schedulers to transfer events between threads. Finally, we learned how to design loosely coupled systems with Rx subjects. These powerful tools together allow us to build a plethora of different applications, ranging from web browsers, FTP servers, the music and video players to real-time games and trading platforms, and even operating systems.

Due to the increasing popularity of reactive programming, a number of frameworks similar to Rx have appeared in the...

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Authors (1)

Prokopec

Prokopec

Aleksandar Prokopec, who also authored the first edition of this book, is a concurrent and distributed programming researcher. He holds a PhD in computer science from the cole Polytechnique Fdrale de Lausanne, Switzerland. He has worked at Google and is currently a principal researcher at Oracle Labs. As a member of the Scala team at EPFL, Aleksandar actively contributed to the Scala programming language, and he has worked on programming abstractions for concurrency, data-parallel programming support, and concurrent data structures for Scala. He created the Scala Parallel Collections framework, which is a library for high-level data-parallel programming in Scala, and participated in working groups for Scala concurrency libraries, such as Futures, Promises, and ScalaSTM. Aleksandar is the primary author of the reactor programming model for distributed computing.

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