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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

Schedulers


Each reactor template can be used to start multiple reactor instances, and each reactor instance can be started with a different reactor scheduler. Different schedulers have different characteristics in terms of execution priority, frequency, latency, and throughput. In this section, we take a look at how to use a non-default scheduler, and how to define custom schedulers when necessary.

We start by defining a reactor that logs incoming events, reports every time it gets scheduled, and ends after being scheduled three times. We will use the sysEvents stream of the reactor, which will be explained in the next section. For now, all you need to know is that the system event stream produces events when the reactor gets some execution time (that is, gets scheduled), and pauses its execution (that is, gets pre-empted).

The Logger reactor is shown in the following snippet:

class Logger extends Reactor[String] { 
  var count = 3 
  sysEvents onMatch { 
    case ReactorScheduled => 
 ...
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