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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

Communication between actors


We have learned that actors communicate by sending messages. While actors running on the same machine can access shared parts of memory in the presence of proper synchronization, sending messages allows isolating the actor from the rest of the system and ensures location transparency. The fundamental operation that allows you to send a message to an actor is the ! operator. We have learned that the ! operator is a non-blocking operation: sending a message does not block the execution of the sender until the message is delivered. This way of sending messages is sometimes called the fire-and-forget pattern, because it does not wait for a reply from the message receiver, nor does it ensure that the message is delivered.

Sending messages in this way improves the throughput of programs built using actors, but can be limiting in some situations. For example, we might want to send a message and wait for the response from the target. In this section, we learn about...

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