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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

Retrying transactions


In sequential computing, a single thread is responsible for executing the program. If a specific value is not available, the single thread is responsible for producing it. In concurrent programming, the situation is different. When a value is not available, some other thread, called a producer, might eventually produce the value. The thread consuming the value, called a consumer, can either block the execution until the value becomes available, or temporarily execute some other work before checking for the value again. We have seen various mechanisms for achieving this relationship, ranging from monitors and the synchronized statement from Chapter 2, Concurrency on the JVM and the Java Memory Model, concurrent queues from Chapter 3, Traditional Building Blocks of Concurrency, futures and promises in Chapter 4, Asynchronous Programming with Futures and Promises, to event-streams in Chapter 6, Concurrent Programming with Reactive Extensions.

Syntactically, the atomic statement...

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