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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
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
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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

Putting it all together – a remote file browser

In this section, we use our knowledge about different concurrency frameworks to build a remote file browser. This larger application example illustrates how different concurrency libraries work together, and how to apply them to different situations. We will name our remote file browser ScalaFTP.

The ScalaFTP browser is divided into two main components: the server and the client process. The server process will run on the machine whose filesystem we want to manipulate. The client will run on our own computer, and comprise of a graphical user interface used to navigate the remote filesystem. To keep things simple, the protocol that the client and the server will use to communicate will not really be FTP, but a custom communication protocol. By choosing the correct concurrency libraries to implement different parts of ScalaFTP, we will ensure that the complete ScalaFTP implementation fits inside just 500 lines of code.

Specifically, the ScalaFTP...

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