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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

Futures


In the earlier chapters, we have learned that parallel executions in a concurrent program proceed on entities called threads. At any point, the execution of a thread can be temporarily suspended, until a specific condition is fulfilled. When this happens, we say that the thread is blocked. Why do we block threads in the first place in concurrent programming? One of the reasons is that we have a finite amount of resources; multiple computations that share these resources sometimes need to wait. In other situations, a computation needs specific data to proceed, and if that data is not yet available, threads responsible for producing the data could be slow or the source of the data could be external to the program. A classic example is waiting for the data to arrive over the network. Let's assume that we have a getWebpage method that given a url string with the location of the webpage, returns that webpage's contents:

def getWebpage(url: String): String

The return type of the getWebpage...

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