Learning Concurrent Programming in Scala

图书信息

作者	Aleksandar Prokopec
出版社	Packt Publishing
ISBN	9781783281428
出版时间	2014-11-28
字数	237.2万
分类	进口书,外文原版书,电脑,网络

读书简介

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.

目录

Learning Concurrent Programming in Scala

Table of Contents

Learning Concurrent Programming in Scala

Credits

Foreword

About the Author

Acknowledgments

About the Reviewers

www.PacktPub.com

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Why subscribe?

Free access for Packt account holders

Preface

How this book is organized

What this book covers

What you need for this book

Installing the JDK

Installing and using SBT

Using Eclipse, IntelliJ IDEA, or another IDE

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Introduction

Concurrent programming

A brief overview of traditional concurrency

Modern concurrency paradigms

The advantages of Scala

Preliminaries

Execution of a Scala program

A Scala primer

Summary

Exercises

2. Concurrency on the JVM and the Java Memory Model

Processes and Threads

Creating and starting threads

Atomic execution

Reordering

Monitors and synchronization

Deadlocks

Guarded blocks

Interrupting threads and the graceful shutdown

Volatile variables

The Java Memory Model

Immutable objects and final fields

Summary

Exercises

3. Traditional Building Blocks of Concurrency

The Executor and ExecutionContext objects

Atomic primitives

Atomic variables

Lock-free programming

Implementing locks explicitly

The ABA problem

Lazy values

Concurrent collections

Concurrent queues

Concurrent sets and maps

Concurrent traversals

Creating and handling processes

Summary

Exercises

4. Asynchronous Programming with Futures and Promises

Futures

Starting future computations

Future callbacks

Futures and exceptions

Using the Try type

Fatal exceptions

Functional composition on futures

Promises

Converting callback-based APIs

Extending the future API

Cancellation of asynchronous computations

Futures and blocking

Awaiting futures

Blocking in asynchronous computations

The Scala Async library

Alternative Future frameworks

Summary

Exercises

5. Data-Parallel Collections

Scala collections in a nutshell

Using parallel collections

Parallel collection class hierarchy

Configuring the parallelism level

Measuring the performance on the JVM

Caveats of parallel collections

Non-parallelizable collections

Non-parallelizable operations

Side effects in parallel operations

Nondeterministic parallel operations

Commutative and associative operators

Using parallel and concurrent collections together

Weakly consistent iterators

Implementing custom parallel collections

Splitters

Combiners

Alternative data-parallel frameworks

Collections hierarchy in ScalaBlitz

Summary

Exercises

6. Concurrent Programming with Reactive Extensions

Creating Observable objects

Observables and exceptions

The Observable contract

Implementing custom Observable objects

Creating Observables from futures

Subscriptions

Composing Observable objects

Nested observables

Failure handling in observables

Rx schedulers

Using custom schedulers for UI applications

Subjects and top-down reactive programming

Summary

Exercises

7. Software Transactional Memory

The trouble with atomic variables

Using Software Transactional Memory

Transactional references

Using the atomic statement

Composing transactions

The interaction between transactions and side effects

Single-operation transactions

Nesting transactions

Transactions and exceptions

Retrying transactions

Retrying with timeouts

Transactional collections

Transaction-local variables

Transactional arrays

Transactional maps

Summary

Exercises

8. Actors

Working with actors

Creating actor systems and actors

Managing unhandled messages

Actor behavior and state

Akka actor hierarchy

Identifying actors

The actor life cycle

Communication between actors

The ask pattern

The forward pattern

Stopping actors

Actor supervision

Remote actors

Summary

Exercises

9. Concurrency in Practice

Choosing the right tools for the job

Putting it all together – a remote file browser

Modeling the filesystem

The server interface

Client navigation API

The client user interface

Implementing the client logic

Improving the remote file browser

Debugging concurrent programs

Deadlocks and lack of progress

Debugging incorrect program outputs

Performance debugging

Summary

Exercises

Index