An API for reactive programming

What is reactive programming?

Turning everything into an asynchrnous data stream and programming with asynchronous data streams

Concurrency made easy

Abstract away low-level threading, synchronization, and concurrency issues

Why would you want to use ReactiveX?

Async error handling

• Client code treats all calls with the API as asynchronous

• The API implementation can choose to be blocking or non-blocking

• Allows the API owner to retain control over concurrency behaviour

Java: RxJava
JavaScript: RxJS
C#: Rx.NET
C#(Unity): UniRx
Scala: RxScala
Clojure: RxClojure
C++: RxCpp
Lua: RxLua
Ruby: Rx.rb
Python: RxPY
Go: RxGo
Groovy: RxGroovy
JRuby: RxJRuby
Kotlin: RxKotlin
Swift: RxSwift
PHP: RxPHP
Elixir: reaxive
Dart: RxDart

Lots of languages and lots of people using them

ReactiveX is a combination of the best ideas from
the Observer pattern, the Iterator pattern, and functional programming

public Data getData();

public Data getData();

public void getData(Callback<Data> c);

public Data getData();

public void getData(Callback<Data> c);

public Future<Data> getData();

public Data getData();

public void getData(Callback<Data> c);

public Future<Data> getData();

public Future<List<Future<Data>>> getData();

Really good toolbox of functions to combine, create and filter any of those streams

RxJava in the BI team

Quick look at our code

Issues with this architecture

• How do we handle backpressure along the stack?
• How do we guarantee exactly once message delivery?
• What happens if a component crashes?

Proposed solution

• Leverage on Kafka and Flink to handle these issues
• Stream processing framework
• Distributed, fault tolerant, high availability

Proposed architecture