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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

Rx schedulers


At the beginning of this chapter, we observed that different Observable objects emit events on different threads. A synchronous Observable object emits on the caller thread when subscribe gets invoked. The Observable.timer object emits events asynchronously on threads internally used by Rx. Similarly, events in Observable objects created from Future objects are emitted on ExecutionContext threads. What if we want to use an existing Observable object to create another Observable object bound to a specific thread?

To encapsulate the choice of the thread on which an Observable object should emit events, Rx defines a special class called Scheduler. A Scheduler class is similar to the Executor and ExecutionContext interfaces we saw in Chapter 3, Traditional Building Blocks of Concurrency. The Observable objects come with a combinator called observeOn. This combinator returns a new Observable object that emits events using the specified Scheduler class. In the following program, we...

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