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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

Composing transactions


When used correctly, transactional memory is a powerful tool for building concurrent applications that modify shared data. Nevertheless, no technology is a silver bullet, and neither is STM. In this section, we will study how to compose transactions in larger programs and learn how transactional memory interacts with other features of Scala. We investigate some of the caveats of STM, and go beyond transactional references and the atomic blocks to show how to use STM more effectively.

The interaction between transactions and side effects

Previously, we learned that an STM may roll back and retry a transaction. An attentive reader might notice that retrying a transaction means re-executing its side effects. Here, the side effects are arbitrary reads and writes to regular object fields and variables.

Sometimes, side effects are not a problem. Transactional references cannot be modified outside a transaction, and inside a transaction, their modifications are aborted when...

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