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Learning Concurrent Programming in Scala

Learning Concurrent Programming in Scala

By : Prokopec
4.7 (10)
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Learning Concurrent Programming in Scala

Learning Concurrent Programming in Scala

4.7 (10)
By: Prokopec

Overview of this book

This book is a must-have tutorial for software developers aiming to write concurrent programs in Scala, or broaden their existing knowledge of concurrency. This book is intended for Scala programmers that have no prior knowledge about concurrent programming, as well as those seeking to broaden their existing knowledge about concurrency. Basic knowledge of the Scala programming language will be helpful. Readers with a solid knowledge in another programming language, such as Java, should find this book easily accessible.
Table of Contents (11 chapters)
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Preface
Preface
How this book is organized
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Introduction
1. Introduction
Concurrent programming
The advantages of Scala
Preliminaries
Summary
Exercises
2
2. Concurrency on the JVM and the Java Memory Model
2. Concurrency on the JVM and the Java Memory Model
Processes and Threads
Monitors and synchronization
Volatile variables
The Java Memory Model
Summary
Exercises
3
3. Traditional Building Blocks of Concurrency
3. Traditional Building Blocks of Concurrency
The Executor and ExecutionContext objects
Atomic primitives
Lazy values
Concurrent collections
Creating and handling processes
Summary
Exercises
4
4. Asynchronous Programming with Futures and Promises
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4. Asynchronous Programming with Futures and Promises
Futures
Promises
Futures and blocking
The Scala Async library
Alternative Future frameworks
Summary
Exercises
5
5. Data-Parallel Collections
5. Data-Parallel Collections
Scala collections in a nutshell
Using parallel collections
Caveats of parallel collections
Using parallel and concurrent collections together
Implementing custom parallel collections
Alternative data-parallel frameworks
Summary
Exercises
6
6. Concurrent Programming with Reactive Extensions
6. Concurrent Programming with Reactive Extensions
Creating Observable objects
Composing Observable objects
Rx schedulers
Subjects and top-down reactive programming
Summary
Exercises
7
7. Software Transactional Memory
7. Software Transactional Memory
The trouble with atomic variables
Using Software Transactional Memory
Composing transactions
Retrying transactions
Transactional collections
Summary
Exercises
8
8. Actors
8. Actors
Working with actors
Communication between actors
Actor supervision
Remote actors
Summary
Exercises
9
9. Concurrency in Practice
9. Concurrency in Practice
Choosing the right tools for the job
Putting it all together – a remote file browser
Debugging concurrent programs
Summary
Exercises
10
Index
Index

Chapter 4. Asynchronous Programming with Futures and Promises

 

Programming in a functional style makes the state presented to your code explicit, which makes it much easier to reason about, and, in a completely pure system, makes thread race conditions impossible.

 
 --John Carmack

In the examples of the previous chapters, we often dealt with blocking computations. We have seen that blocking synchronization can have negative effects—it can cause deadlocks, starve thread pools, or break lazy value initialization. While in some cases, blocking is the right tool for the job, in many cases we can avoid it. Asynchronous programming refers to the programming style in which executions occur independently of the main program flow. Asynchronous programming helps you to eliminate blocking: instead of suspending the thread whenever a resource is not available, a separate computation is scheduled to proceed once the resource becomes available.

In a way, many of the concurrency...

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