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Home > Programming > Design > Reactive Programming in Kotlin
Reactive Programming in Kotlin
Reactive Programming in Kotlin

Reactive Programming in Kotlin: Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring

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Reactive Programming in Kotlin

Functional Programming with Kotlin and RxKotlin

Functional programming paradigms are slightly different than that of Object-oriented programming (OOP). It focuses on the use of declarative and expressive programs and immutable data rather than on statements. The definition of functional programming says functional programming is a programming system that relies on structuring the program as the evaluation of mathematical functions with immutable data, and it avoids state-change. It is a declarative programming paradigm that suggests use of small, reusable declarative functions.

We have seen the definition of functional programming; now, don't you want to delve into its definition and see what it exactly means? Do all languages support functional programming? If not, then which languages does and what about Kotlin? What exactly does reactive programming have to do with functional...

Introducing functional programming

So, functional programming wants you to distribute your programming logic into small pieces of reusable declarative small and pure functions. Distributing your logic into small pieces of code will make the code modular and non-complex, thus you will be able to refactor/change any module/part of the code at any given point without any effects to other modules.

Functional programming requires some interfaces and support from the language, thus we can't say any language is functional unless it gives some sort of support to implement functional programming. However, functional programming isn't something new; it is actually quite an old concept and has several languages supporting it. We call those languages functional programming languages, and the following is a list of some of the most popular functional programming languages:

  • Lisp
    • ...

Fundamentals of functional programming

Functional programming consists of few new concepts such as lambdas, pure functions, high-order functions, function types, and inline functions, which we will be learning. Quite interesting, isn't it?

Note that, although in many programmers word, pure functions and lambdas are the same, they are actually not. In the following part of this chapter, we will learn more about them.

Lambda expressions

Lambda or lambda expressions generally mean anonymous functions, that is, functions without names. You can also say a lambda expression is a function, but not every function is a lambda expression. Not every programming language provides support for lambda expressions, for instance, Java...

Applying functional programming to the ReactiveCalculator class

So, now, after trying to understand the ReactiveCalculator class from the previous chapter, we will try to optimize the code as well. Let's first take a look at the init block of the ReactiveCalculator class:

    init{ 
      nums = Pair(a,b) 
 
      subjectAdd.map({ it.first+it.second }).subscribe({println
      ("Add = $it")} )//1 
      subjectSub.map({ it.first-it.second }).subscribe({println
      ("Substract = $it")} ) 
      subjectMult.map({ it.first*it.second }).subscribe
      ({println("Multiply = $it")} ) 
      subjectDiv.map({ it.first/(it.second*1.0) }).subscribe
      ({println("Divide = $it")} ) 
 
      subjectCalc.subscribe({ 
        with(it) { 
          calculateAddition() 
          calculateSubstraction() 
          calculateMultiplication() 
     ...

Coroutines

Path breaking and, probably, the most exciting feature in Kotlin are coroutines. They are a new way to write asynchronous, non-blocking code somewhere like the threads, but way more simple, efficient, and lightweight. Coroutines were added in Kotlin 1.1 and are still experimental, so think before using it in production.

In the later chapters of this book, you'll learn about Schedulers in RxKotlin, which encapsulates the complexities of threading, but you can use it only in RxKotlin chain, while you can use coroutines anywhere and everywhere. That is indeed a path-breaking feature of Kotlin. They provide a great abstraction on threads, making context changes and concurrency easier.

Keep in mind that RxKotlin does not use coroutines yet; the reason is quite simple–both coroutines and Schedulers in RxKotlin share nearly the same internal architecture; while...

Functional programming – monads

Functional programming is incomplete without monads. If you are into functional programming, then you know it very well; otherwise, you are hearing it for the first time. So, what is a monad? Let's learn about it. The concept of monad is quite abstract; the definition says monad is a structure that creates a new type by encapsulating a value and adding some extra functionalities to it. So, let's start by using a monad; take a look at the following program:

    fun main(args: Array<String>) { 
      val maybeValue: Maybe<Int> = Maybe.just(14)//1 
      maybeValue.subscribeBy(//2 
        onComplete = {println("Completed Empty")}, 
        onError = {println("Error $it")}, 
        onSuccess = { println("Completed with value $it")} 
      ) 
      val maybeEmpty:Maybe<Int> = Maybe.empty...

Introducing functional programming

So, functional programming wants you to distribute your programming logic into small pieces of reusable declarative small and pure functions. Distributing your logic into small pieces of code will make the code modular and non-complex, thus you will be able to refactor/change any module/part of the code at any given point without any effects to other modules.

Functional programming requires some interfaces and support from the language, thus we can't say any language is functional unless it gives some sort of support to implement functional programming. However, functional programming isn't something new; it is actually quite an old concept and has several languages supporting it. We call those languages functional programming languages, and the following is a list of some of the most popular functional programming languages:

  • Lisp
  • Clojure
  • Wolfram
  • Erlang
  • OCaml
  • Haskell
  • Scala
  • F#

Lisp and Haskell are some of the oldest languages and are still used today in academia and...

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Key benefits

  • • Learn how to solve blocking user experience with Reactive Programming and get deep insights into RxKotlin
  • • Integrate Reactive Kotlin with Spring and build fantastic Android Apps with RxKotlin and RxAndroid
  • • Build reactive architectures that reduce complexity throughout the development process and make your apps(web and Android) scalable

Description

In today's app-driven era, when programs are asynchronous, and responsiveness is so vital, reactive programming can help you write code that's more reliable, easier to scale, and better-performing. Reactive programming is revolutionary. With this practical book, Kotlin developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm. You will begin with the general concepts of Reactive programming and then gradually move on to working with asynchronous data streams. You will dive into advanced techniques such as manipulating time in data-flow, customizing operators and provider and how to use the concurrency model to control asynchronicity of code and process event handlers effectively. You will then be introduced to functional reactive programming and will learn to apply FRP in practical use cases in Kotlin. This book will also take you one step forward by introducing you to Spring 5 and Spring Boot 2 using Kotlin. By the end of the book, you will be able to build real-world applications with reactive user interfaces as well as you'll learn to implement reactive programming paradigms in Android.

Who is this book for?

This book is for Kotlin developers who would like to build fault-tolerant, scalable, and distributed systems. A basic knowledge of Kotlin is required, but no prior knowledge of reactive programming.

What you will learn

  • • Learn about reactive programming paradigms and how reactive programming can improve your existing projects
  • • Gain in-depth knowledge in RxKotlin 2.0 and the ReactiveX Framework
  • • Use RxKotlin with Android
  • • Create your own custom operators in RxKotlin
  • • Use Spring Framework 5.0 with Kotlin
  • • Use the reactor-kotlin extension
  • • Build Rest APIs with Spring, Hibernate, and RxKotlin
  • • Use testSubscriber to test RxKotlin applications
  • • Use backpressure management and Flowables
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 05, 2017
Length: 322 pages
Edition : 1st
Language : English
ISBN-13 : 9781788473026
Vendor :
Google
Category :
Programming
Languages :
Kotlin
Concepts :
Design
Tools :
Android

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Product Details

Publication date : Dec 05, 2017
Length: 322 pages
Edition : 1st
Language : English
ISBN-13 : 9781788473026
Vendor :
Google
Category :
Programming
Languages :
Kotlin
Concepts :
Design
Tools :
Android

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Table of Contents

12 Chapters
A Short Introduction to Reactive Programming Chevron down icon Chevron up icon
A Short Introduction to Reactive Programming
What is reactive programming?
Reasons to adapt functional reactive programming
Reactive Manifesto
Getting started with RxKotlin
The ReactiveCalculator project
Summary
Functional Programming with Kotlin and RxKotlin Chevron down icon Chevron up icon
Functional Programming with Kotlin and RxKotlin
Introducing functional programming
Fundamentals of functional programming
Applying functional programming to the ReactiveCalculator class
Coroutines
Functional programming – monads
Summary
Observables, Observers, and Subjects Chevron down icon Chevron up icon
Observables, Observers, and Subjects
Observables
Other Observable factory methods
Hot and Cold Observables
Varieties of Subject
Summary
Introduction to Backpressure and Flowables Chevron down icon Chevron up icon
Introduction to Backpressure and Flowables
Understanding backpressure
Flowable
When to use Flowables and Observables
Flowable and Subscriber
Creating Flowable from scratch
Creating Flowable from Observable
BackpressureStrategy.MISSING and onBackpressureXXX()
Generating Flowable with backpressure at source
ConnectableFlowable
Processor
Learning Buffer, Throttle, and Window operators
Summary
Asynchronous Data Operators and Transformations Chevron down icon Chevron up icon
Asynchronous Data Operators and Transformations
Operator
The filtering/suppressing operators
The transforming operators
Reducing operators
The error handling operators
The utility operators
Summary
More on Operators and Error Handling Chevron down icon Chevron up icon
More on Operators and Error Handling
Combining producers (Observable/Flowable)
Grouping
flatMap, concatMap – In details
Understanding switchMap operator
Skipping and taking emissions
The error handling operators
onErrorReturn – return a default value on error
The onErrorResumeNext operator
An HTTP example
Summary
Concurrency and Parallel Processing in RxKotlin with Schedulers Chevron down icon Chevron up icon
Concurrency and Parallel Processing in RxKotlin with Schedulers
Introduction to concurrency
Parallel execution versus concurrency
What is a scheduler?
How to use schedulers – subscribeOn and observeOn operators
Summary
Testing RxKotlin Applications Chevron down icon Chevron up icon
Testing RxKotlin Applications
Introduction to unit testing and its importance
Writing JUnit tests in Kotlin
Testing in RxKotlin
Blocking subscribers
Blocking operators
Introducing TestObserver and TestSubscriber
Understanding TestScheduler
Summary
Resource Management and Extending RxKotlin Chevron down icon Chevron up icon
Resource Management and Extending RxKotlin
Resource management
Creating your own operators
Composing operators with transformer
Summary
Introduction to Web Programming with Spring for Kotlin Developers Chevron down icon Chevron up icon
Introduction to Web Programming with Spring for Kotlin Developers
Spring, history, and origin of Spring
Dependency injection and IoC
Spring – AOP
Introduction to Spring Boot
Creating a Rest API with Spring Boot
Summary
REST APIs with Spring JPA and Hibernate Chevron down icon Chevron up icon
REST APIs with Spring JPA and Hibernate
REST API with Spring Boot, Hibernate, and JPA
Reactive programming with Reactor
Summary
Reactive Kotlin and Android Chevron down icon Chevron up icon
Reactive Kotlin and Android
Setting up Kotlin in Android Studio
Getting started with ToDoApp on Android
Retrofit 2 for API calls
RxKotlin with Retrofit
Making Android events reactive
Kotlin extensions
Summary

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About the author

Profile icon Rivu Chakraborty
Rivu Chakraborty
Github icon
Rivu Chakraborty is a Google Certified Android Developer, Caster.io Instructor and a Kotlin Evangelist. With over 6 years of work experience; he is currently working as a Sr. Software Engineer (Android) at BYJU'S The Learning App. Rivu considers himself a Kotlin and Android enthusiast, cum evangelist. He has been using Kotlin since December 2015. Rivu created the KotlinKolkata User Group and before moving out to Bangalore, he had been the lead organiser for both Kotlin Kolkata User Group and GDG Kolkata. Along with organising events, he also speaks at events/conferences in India, including DroidJam India (India's premiere Android Conference) and a couple of DevFests. Rivu has authored multiple books on Kotlin and Android Development.
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We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela