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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 2. Concurrency on the JVM and the Java Memory Model FREE CHAPTER 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

Chapter 7. Software Transactional Memory

 

"Everybody who learns concurrency and thinks they understand it, ends up finding mysterious races they thought weren't possible, and discovers that they didn't actually understand it yet after all."

 
 --Herb Sutter

While investigating the fundamental primitives of concurrency in Chapter 2, Concurrency on the JVM and the Java Memory Model, we recognized the need for protecting parts of the program from shared access. We saw that a basic way of achieving this isolation is the synchronized statement, which uses intrinsic object locks to ensure that at most a single thread executes a specific part of the program at the same time. The disadvantage of using locks is that they can easily cause deadlocks, a situation in which the program cannot progress.

In this chapter, we will introduce Software Transactional Memory (STM), a concurrency control mechanism for controlling access to shared memory, which greatly...

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