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Grzegorz Dyrda Geeky Devs Studio Introduction to Functional-Reactive Programming

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Grzegorz Dyrda Geeky Devs Studio Introduction to Functional-Reactive Programming

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Grzegorz Dyrda Geeky Devs Studio Introduction to Functional-Reactive Programming

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Grzegorz Dyrda Geeky Devs Studio Introduction to Functional-Reactive Programming

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Functional-Reactive Programming

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Why? Why do I need to learn another technology?

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–Bill Gates, 1981 “Nobody will ever need
 more than 640k of RAM”

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What does the Fox say?

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What does the Market say?

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What does the Market say? • Java 9 + Reactive Streams (JEP 266) • Spring Web Reactive (WebFlux) • Angular 2+, Cycle.js • Android Architecture Components, Room, Retrofit, Realm, …

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Functional-Reactive

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Functional + Reactive

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Functional + Reactive

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Functional + Reactive

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Functional + Time

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Functional + Threads

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Functional + Asynchronous

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Functional + Asynchronous Concurrency

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Functional + Asynchronous

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Functional + Asynchronous

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Functional

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You cannot understand Functional-Reactive programming, if you don’t understand Functional programming.

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What is Functional Programming?

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Functional Programming Programming style in which we avoid sharing state and data mutation, in favor of composing functions and passing data from one to another.

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Functional Programming …is about moving from
 the imperative
 to declarative style.

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Language Support

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• Functions as first-class citizens • Higher-order functions • Lambda expressions • Immutable data types • Functions are closures Language Support JAVA 8+ APPROVED

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Example

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Client says: “Make a sum of all our prices
 that are higher than $20,
 discounted by 10%” Example

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example var sum = 0.0 for (var i = 0; i <= prices.size; i++) {
 if (price[i] > 20) {
 sum += price[i] * 0.9
 }}
 }} val prices = listOf(20, 12, 15, 21, 25, 28, 30)

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var sum = 0.0 for (var i = 0; i < prices.size; i++) {
 if (price[i] > 20) {
 sum += price[i] * 0.9
 }}
 }} Example val prices = listOf(20, 12, 15, 21, 25, 28, 30)

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example var sum = 0.0 for (price in prices) {
 if (price > 20) {
 sum += price * 0.9
 }}
 }}

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum() var sum = 0.0 for (price in prices) {
 if (price > 20) {
 sum += price * 0.9
 }}
 }}

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum() Important: 1. No import = stdlib 2. Cross-platform

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum() // Returns list containing only elements matching [predicate] fun filter(predicate: (T) -> Boolean): List

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum() // Returns list containing only elements matching [predicate] fun filter(predicate: (T) -> Boolean): List

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example // Returns list containing elements transformed by [transform] fun map(transform: (T) -> R): List val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example // Returns list containing elements transformed by [transform] fun map(transform: (T) -> R): List val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum()

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum() Higher level, more readable & closer to the Business Intent

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val prices = listOf(20, 12, 15, 21, 25, 28, 30) Example val sum = prices
 .filter { price -> price > 20 }
 .map { price -> price * 0.9 }
 .sum() var sum = 0.0 for (price in prices) {
 if (price > 20) {
 sum += price * 0.9
 }}
 }}

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Another Example

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You’re a Blog admin: “Calculate average blogpost length of all your blog’s Users that speak Polish” Example

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = ??? val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { ??? }} val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }} val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .map { ??? }} val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .map { user -> user.posts }} val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .map { user -> user.posts } // Return type is: List> // But we need: List val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .map { user -> user.posts } val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts } val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts } // Returns a single list with all elements yielded from // [transform] invoked on on each element of original collection. fun flatMap(transform: (T) -> Iterable): List val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts } // Returns a single list with all elements yielded from // [transform] invoked on on each element of original collection. fun flatMap(transform: (T) -> Iterable): List val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts } // Returns a single list with all elements yielded from // [transform] invoked on on each element of original collection. fun flatMap(transform: (T) -> Iterable): List val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts } val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts }
 .map { ??? }} val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts }
 .map { post -> post.body.length }} val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .filter { user -> user.language == "PL" }
 .flatMap { user -> user.posts }
 .map { post -> post.body.length }
 .average() val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .take(100)
 .flatMap { user -> user.posts }
 .map { post -> post.body.length }
 .average() val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .take(100)
 .flatMap { user -> user.posts } .map { post -> post.body.length } .count() val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .take(100)
 .flatMap { user -> user.posts }
 .map { post -> post.body.length }
 .reduce { acc, length -> acc + length } val users = db.getAllUsers()

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .take(100)
 .flatMap { user -> user.posts }
 .map { post -> post.body.length }
 .reduce { acc, length -> acc + length }} val users = db.getAllUsers() // Returns a single value computed by accumulating values // returned from applying [operation] to each element. fun reduce(operation: (acc: S, T) -> S): S

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data class Post(val title: String, val body: String)
 data class User(val language: String, val posts: List) Example val avgPolishPostLength = users
 .take(100)
 .flatMap { user -> user.posts }
 .map { post -> post.body.length }
 .fold(0) { acc, _ -> acc + 1 }} val users = db.getAllUsers() // Accumulates value starting with [initial] and applying // [operation] to current accumulator value and each element. fun fold(initial: R, operation: (acc: R, T) -> R): R

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Benefits

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• No explicit mutation, reassignment, iteration etc. = less error prone • Low-level details controlled by the library = may be optimized under the hood • More expressive, more readable • Easy to enhance & modify the logic • Closer to the business intent Benefits

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Functional -vs- Object-Oriented

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Functional -vs- Object-Oriented

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Functional + Object-Oriented

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// Returns list containing only elements matching [predicate] fun filter(predicate: (T) -> Boolean): List // Returns list containing elements transformed by [transform] fun map(transform: (T) -> R): List // Flattens nested lists into single list fun flatMap(transform: (T) -> Iterable): List // Accumulates value by applying [operation] fun reduce(operation: (acc: S, T) -> S): S // Accumulates value, starting with [initial] fun fold(initial: R, operation: (acc: R, T) -> R): R Common Specialized Functions

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No content

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Functional

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Functional + Reactive

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Reactive

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What is Reactive Programming?

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Reactive Programming Programming with
 Asynchronous Event Streams

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Reactive Programming Programming with
 Asynchronous Event Streams

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Observer Pattern on Steroids Reactive Programming

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Observer Pattern on Functional Steroids Reactive Programming

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Reactive Programming Superpowered Data

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1 5 12 3 7 4

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1 filter(x > 4) 5 12 3 7 4

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1 filter(x > 4) 5 12 7 5 12 3 7 4

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1 filter(x > 4) 5 12 7 map(x + 2) 5 12 3 7 4

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1 filter(x > 4) 5 12 7 map(x + 2) 7 14 9 5 12 3 7 4

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1 filter(x > 4) 5 12 7 map(x + 2) 7 14 9 5 12 3 7 4

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1 filter(x > 4) 5 12 7 map(x + 2) 7 14 9 5 12 3 7 4

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1 filter(x > 4) 5 12 7 map(x + 2) 7 14 9 5 12 3 7 4

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1 filter(x > 4) 5 12 7 map(x + 2) 7 14 9 5 12 3 7 4

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1 filter(x > 4) 5 12 7 map(x + 2) 7 14 9 5 12 3 7 4

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5 12 7 map(x + 2) Stream Events Operator

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5 12 7 map(x + 2) Stream Events Infinite Operator

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5 12 7 map(x + 2) Stream Events Error Operator

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5 12 7 map(x + 2) Stream Events Complete Operator

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Implementation

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Reactive Extensions Implementation

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Rx Implementation

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• RxJava • RxJS • Rx.NET • RxScala • RxClosure • RxCpp Implementation • RxPython • RxGo • RxKotlin • RxSwift • RxPHP • RxDart

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Stream

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Stream Observable

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Stream Observable List -vs-

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Creating a Stream

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Observable.just(1) Observable.just(true) Observable.just(user) Observable.just("one", "two", "three") Creating a Stream Observable.fromIterable(users) Observable.fromArray(usersArray) Observable.fromCallable(this::sendRequest) Observable.fromFuture(future) Observable.defer(...) Observable.create(...)

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Observable.just(1)) Creating a Stream .subscribe { item ->
 print("Item = $item")
 }} // Item = 1

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Observable.just(true)) .subscribe { item ->
 print("Item = $item")
 }} // Item = true Creating a Stream

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Observable.just(user)) .subscribe { item ->
 print("Item = $item")
 }} // Item = User(language="PL",posts=...) Creating a Stream

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Observable.just("one", "two", "three") .subscribe { item ->
 print("Item = $item")
 }} // Item = one // Item = two // Item = three Creating a Stream

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Observable.just(user1, user2, ...)) .subscribe { item ->
 print("Item = $item")
 }} // Item = User(language="PL",posts=...) // Item = User(language="EN",posts=...) // ... Creating a Stream

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Observable.fromIterable(users)) .subscribe { item ->
 print("Item = $item")
 }} // Item = User(language="PL",posts=...) // Item = User(language="EN",posts=...) // Item = User(language="PL",posts=...) // Item = User(language="PL",posts=...) ... Creating a Stream

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Observable.fromIterable(users)) .subscribe { item ->
 print("Item = $item")
 }} // Item = User(language="PL",posts=...) // Item = User(language="EN",posts=...) // Item = User(language="PL",posts=...) // Item = User(language="PL",posts=...) ... Creating a Stream Where are my Steroids?

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API

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API abstract class Observable { }} interface Observer {
 }}

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API abstract class Observable { fun filter(predicate: (T) -> Boolean): Observable fun map(transform: (T) -> R): Observable // // ...13k lines of code... // }} interface Observer {
 }}

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API abstract class Observable { fun filter(predicate: (T) -> Boolean): Observable fun map(transform: (T) -> R): Observable // // ...13k lines of code... // }} interface Observer {
 fun onNext(@NonNull t: T)
 fun onError(@NonNull e: Throwable)
 fun onComplete()
 }}

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Observable.just("5", "8", "3", "7") .subscribe { item ->
 print("Item = $item")
 }} Transforming a Stream

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Observable.just("5", "8", "3", "7") .map(String::toInt) .subscribe { item ->
 print("Item = $item")
 }} Transforming a Stream

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Observable.just("5", "8", "3", "7") .map(String::toInt) .filter { item -> item > 5 } .subscribe { item ->
 print("Item = $item")
 }} // Item = 8 // Item = 7 Transforming a Stream

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Introducing Time

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Observable.interval(1, TimeUnit.SECONDS) Interval .subscribe { item ->
 print("Item = $item")
 }} //00:00: Item = 0 //00:01: Item = 1 //00:02: Item = 2 //00:03: Item = 3 //00:04: Item = 4 //...

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Observable.interval(1, TimeUnit.SECONDS) Interval .map { item -> item * item } .subscribe { item ->
 print("Item = $item")
 }}

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Observable.interval(1, TimeUnit.SECONDS) Interval .map { item -> item * item }. .take(3) .subscribe { item ->
 print("Item = $item")
 }} //00:00: Item = 0 //00:01: Item = 1 //00:02: Item = 4

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// RxBinding RxView.clicks(button) // Observable .map { click -> 1 } .scan { acc, next -> acc + next } UI Events .subscribe { count ->
 print("Count = $count")
 } // Count = 1 // Count = 2 // Count = 3 // Count = 4 // ...

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// Retrofit myService.getUsers() // Observable .map { user -> user.posts.size } .reduce { acc, next -> acc + next } Network Requests .subscribe { count ->
 print("Post count = $count")
 } // Post count = 120

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// Task: perform network request after each click Combining // Return type: Observable> // But we want: Observable val buttonClicks = RxView.clicks(button) val userInfoRequest = myService.getUserInfo() buttonClicks .map { click -> myService.getUserInfo() }

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// Returns Observable that emits all items emitted by // Observables returned by [mapper] fun flatMap(mapper: (T) -> Observable): Observable buttonClicks .flatMap { click -> myService.getUserInfo() } Combining val buttonClicks = RxView.clicks(button) val userInfoRequest = myService.getUserInfo() // Task: perform network request after each click

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Combining .map { user -> user.firstName } .subscribe { firstName ->
 print("firstName = $firstName")
 } // firstName = John val buttonClicks = RxView.clicks(button) val userInfoRequest = myService.getUserInfo() buttonClicks .flatMap { click -> myService.getUserInfo() } // Task: perform network request after each click

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// Task: do the same thing on btn1 & btn2 click Combining val btn1Clicks = RxView.clicks(button1) val btn2Clicks = RxView.clicks(button2) btn1Clicks .map { click -> "Click!" } .subscribe { msg ->
 print("msg = $msg")
 }}

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// Task: do the same thing on btn1 & btn2 click Combining val btn1Clicks = RxView.clicks(button1) val btn2Clicks = RxView.clicks(button2) Observable.merge(btn1Clicks, btn2Clicks) .map { click -> "Click!" } .subscribe { msg ->
 print("msg = $msg")
 }} // Merges two (or more) Observables into a single one. fun merge(s1: Observable, s2: Observable): Observable

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fun fetchUser(): User { /* fetch from network */ } Threading Observable.fromCallable(this::fetchUser) .subscribeOn(Schedulers.io()) .subscribe { user ->
 print("User = $user")
 }}

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fun fetchUser(): User { /* fetch from network */ } Threading Observable.fromCallable(this::fetchUser) .subscribeOn(Schedulers.io()) .subscribe { user -> statusLabel.text = user.firstName
 }}

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fun fetchUser(): User { /* fetch from network */ } Threading .subscribe { user -> statusLabel.text = user.firstName
 }} Observable.fromCallable(this::fetchUser) .subscribeOn(Schedulers.io()) .observeOn(AndroidSchedulers.mainThread())

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Netflix

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Tips

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Tips • Start small - get used to FP first
 (be declarative, avoid side-effects etc.) • RX is not an architecture. It's a Tool.
 So use it wisely • Subtask = flatMap • Remember that error = end of Stream

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Use RX when you need... • Composing & orchestrating multiple async events • Manipulating time (delay, timeout etc.) • Cancellation of async events

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Conclusions

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• Great for composing/orchestrating multiple Event streams • 100+ operators for creating, transforming & combining streams • Declarative threading • Cancellation of async tasks • Do not overuse for simple tasks Conclusions on RX

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How to Start?

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How to Start? • ReactiveX.io • github.com/ReactiveX • rxmarbles.com • geekydevs.com/rx

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Thank You

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Thank You Any questions?