Observable streams– Unlike the Actors and futures message passing example, Observables are the ReactiveX way of implementing asynchronous programming. An Observable emit objects similar to a stream, and an Obs
RxJava 2.0 is open source extension to java for asynchronous programming by NetFlix. It is much closer to functional programming as seen in java 8 lambda expressions. The basic building blocks of reactive code are Observables and Subscribers. An Observable emits items; a Subscriber consumes those...
Reactive programming can be done using either Mono or Flux, although they have different use cases and behaviours. As we’ve seen, Flux is used when you want to work with a potentially infinite stream of data, whereas Mono is used when you want to work with a single value. Conclusion Flu...
Now let us see how the Reactive Programming works. In the below example, once the application makes a call to get the data from a data source, the thread will be returned immediately and the data from the data source will come as a data/event stream. Here the application is a subscriber...
In contrast to the pilot study, the baseline and endline household surveys were conducted around the same time of the year and the control areas did not receive any additional programming other than the routine malaria prevention and control program implemented by the NMCP. This result was robust...
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This section was just a shallow introduction into the world of reactive programming and reactive streams in particular. Despite the fact that we have talked about Akka Streams quite a lot, we have only touched a tiny part of it, just scratching the tip of the iceberg: a long list of featu...
Some time ago I wrote how to implement a reactive message queue with Akka Streams. The queue supports streaming send and receive operations with