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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

Lazy values

You should be familiar with lazy values from sequential programming in Scala. Lazy values are value declarations that are initialized with their right-hand side expression when the lazy value is read for the first time. This is unlike regular values, which are initialized the moment they are created. If a lazy value is never read inside the program, it is never initialized and it is not necessary to pay the cost of its initialization. Lazy values allow you to implement data structures such as lazy streams; they improve complexities of persistent data structures, can boost the program's performance, and help avoid initialization order problems in Scala's mixin composition.

Lazy values are extremely useful in practice, and you will often deal with them in Scala. However, using them in concurrent programs can have some unexpected interactions, and this is the topic of this section. Note that lazy values must retain the same semantics in a multithreaded program; a lazy...

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