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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

Summary


In this chapter, we learned how STM works and how to apply it in concurrent programs. We saw the advantages of using STM's transactional references and atomic blocks over the synchronized statements, and investigated their interaction with side effects. We studied the semantics of exception handling inside transactions and learned how to retry and conditionally re-execute transactions. Finally, we learned about transactional collections, which allow encoding shared program data more efficiently.

These features together enable a concurrent programming model in which the programmer can focus on expressing the meaning of the program, without having to worry about handling lock objects, or avoiding deadlocks and race conditions. This is especially important when it comes to modularity. It is hard or near impossible to reason about deadlocks or race conditions in the presence of separate software components. STM exists to liberate the programmer from such concerns, and is essential when...

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