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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Practical Multithreading in Scala

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786466891
Length 434 pages
Edition 2nd 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 10. Reactors

Futures


In earlier chapters, we 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 method...

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