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Hands-On Design Patterns with Kotlin

By : Alexey Soshin

4.1 (9)

Buy this Book

Hands-On Design Patterns with Kotlin

4.1 (9)

By: Alexey Soshin

Buy this Book

Overview of this book

Design patterns enable you as a developer to speed up the development process by providing you with proven development paradigms. Reusing design patterns helps prevent complex issues that can cause major problems, improves your code base, promotes code reuse, and makes an architecture more robust. The mission of this book is to ease the adoption of design patterns in Kotlin and provide good practices for programmers. The book begins by showing you the practical aspects of smarter coding in Kotlin, explaining the basic Kotlin syntax and the impact of design patterns. From there, the book provides an in-depth explanation of the classical design patterns of creational, structural, and behavioral families, before heading into functional programming. It then takes you through reactive and concurrent patterns, teaching you about using streams, threads, and coroutines to write better code along the way By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Getting Started with Kotlin

Basic language syntax and features

Introduction to design patterns

Summary

Working with Creational Patterns

Singleton

Factory Method

Abstract Factory

Builder

Prototype

Summary

Understanding Structural Patterns

Decorator

Adapter

Bridge

Composite

Facade

Flyweight

Proxy

Summary

Getting Familiar with Behavioral Patterns

Strategy

Iterator

State

Command

Chain of responsibility

Interpreter

Mediator

Memento

Visitor

Template method

Observer

Summary

Functional Programming

Why functional programming?

Immutability

Functions as values

Expressions, not statements

Recursion

Summary

Streaming Your Data

The it notation

The map() function

Filter family

Find family

Drop family

Sort family

ForEach

Join family

Fold/Reduce

Flat family

Slice

Chunked

Zip/Unzip

Streams are lazy, collections are not

Sequences

Summary

Staying Reactive

Reactive principles

Reactive extension

Summary

Threads and Coroutines

Threads

Coroutines

Summary

Designed for Concurrency

Active Object

Deferred value

Barrier

Scheduler

Pipelines

The fan-out design pattern

The fan-in design pattern

Buffered channels

Unbiased select

Mutexes

Selecting on close

Sidekick channel

Deferred channel

Summary

Idioms and Anti-Patterns

Let

Apply

Also

Run

With

Instance checks

Try-with-resources

Inline functions

Reified

Constants

Constructor overload

Dealing with nulls

Explicit async

Validation

Sealed, not enumerated

More companions

Scala functions

Summary

Reactive Microservices with Kotlin

Getting started with Vert.x

Handling requests

Testing

Working with databases

EventBus

Summary

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Streaming Your Data

In this chapter, we'll discuss higher-order functions for collections. For Java developers, they first appeared in Java 8 with the introduction of Stream API. But they were around for much longer in functional languages.

First, since we expect that many of our readers are familiar with Java 8, let's cover what Stream API is in Java briefly.

Streams from Java8 are not to be confused with some of the I/O classes with similar names, such as InputStream or OutputStream. While the latter represent data, the former are sequences of elements of the same type.

If those are sequences, and they all have the same type, how are they different from Lists? Well, streams can be infinite, unlike collections.

There is also a set of actions defined for Java streams. Not only are those actions the same for any kind of stream, they also have familiar names for those...