The session is about understanding Reactive Programing and why we need it. Also will demo basic building blocks of RX-Java.

1. Presented By: Jitendra Kr Singh
Reactive Programing

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KnolX Etiquettes
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after a 5 minutes threshold post
the session start time.
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very helpful for the presenter.
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Avoid Disturbance
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question, make sure there is no
background noise.

3. Our Agenda
To understand Reactive programing and why it's needed
Introduction
Creating Mono and Flux
Demo
Questions
Thank you
Methods in Mono and Flux
01
02
03
04
05
05
05
6

4. Introduction

5. Introduction
01 Reactive Stream Introduction
02 Reactive Programing Introduction
03 Reactive Pillar

6. Reactive Stream Introduction
The Reactive Streams working group released an API for several languages. This API
is simply composed of four different interfaces.
Interface Publisher<T>
void subscribe(Subscriber<? super T> s)
Interface Subscriber<T>
void onComplete()
void onError(java.lang.Throwable t)
void onNext(T t)
void onSubscribe(Subscription s)
Interface Subscription
void cancel()
void request(long n)

7. Reactive Programing Introduction
Reactive programming is a programming paradigm that deals with data flows and
the propagation of change. It means that when a data flow is emitted by one
component, the change will be propagated to other components by reactive
programming library.

8. Reactive Pillar
Responsiveness
Scalable
Message Driven
Resilient

9. Few Methods in Mono
Mono<Integer> mono = Mono.just(1); // publisher // When data is present
mono.subscribeOn(Schedulers.boundedElastic()).block();
Mono<String> mono = Mono.fromFuture(getName());
Supplier<String> stringSupplier = () -> getName();
Mono<String> mono = Mono.fromSupplier(stringSupplier); // lazy

10. Few Methods in Flux
Flux.just
Flux.fromStream
Flux.range(3, 10).log().map(i ->getName()).log().subscribe(.onNext());
Flux.interval(Duration.ofSeconds(1)).subscribe(Util.onNext());
Mono<Integer> mono = Mono.just(1); // publisher
Flux.fromArray

11. Demo

12. Questions ?

13. Thank You !
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