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Important Spring Webflux Methods –

In this blog we will introduce, describe, and explain to you the methods we use to make Webflux using Webflux. We will also provide you with full code-snippets that will help you to understand the concepts behind advanced Webfluxing techniques.

The arrival of spring means a plethora of change in the webflux industry, and that is not just in terms of the number of gadgets, but also the accompanying changes in the technology used to connect them. One of the biggest changes is in the number of technologies available to connect to the Internet. While the smartphone industry is still the biggest and most profitable, the number of gadgets is moving strongly towards the smart watch as well, and other wearable devices.

Check out our tutorial on how to get Google Web Search working in your Spring Framework project. We’re setting up a microservice for Google Web Search (Inception), and we want to make sure our WebFlux app doesn’t have any issues.

It would be very difficult for someone to work with reactive flows unless they knew how to create and transform them. It will clearly be impossible to develop a meaningful program. As you may have guessed, in this guide we will focus on the most common methods Project Reactor offers for creating and converting reactive streams. I highly recommend you read the previous tutorial, as it is a series of tutorials on reactive programming in Spring. There are several ways to create a responsive flow.

List of independent posts

We have already used this method in a previous lesson. Here you enter the values per program in the thread. Flow1 = Flow.just(s1, s2) ;

per iterable

Fluxx2 = Flux.fromIterable(Arrays.asList(s1, s2)) ;

from table

Fluxx3 = Flux.fromArray(new String[]{s2, s3}) ; This group of methods deals with the transformation or modification of elements in reactive flows.


The map operator is a function used to apply changes to each element and then return a stream of changed elements. Below is a diagram from the ReactiveX website. word-image-894

Flat map

This conversion method is similar to the map function, except that the conversion of each element returns a reactive thread. The resulting stream elements of the transformation of each source stream element are then combined and returned as a flatMap result. This image from the ReactiveX website illustrates it well. word-image-895 As you can see in the diagram above, the flatMap method does not care about the order in which the resulting threads are combined. This is because there is no waiting for the threads created by each element to finish.


This method works the same way as flatMap, except that it takes into account the order of the elements. It waits for the threads created by each element to complete before continuing. The following chart is from the ReactiveX website. word-image-896

Practice code

The following code shows how each of the conversion methods should be used. public class TransformationTest{ public static void main(String[] args) throws InterruptedException { Flux fluxString = Flux.just(florian, nathan); Flux fluxFromMap = -> s.toUpperCase()); Flux fluxFromFlatMap = fluxString.flatMap(s -> { List characterList = new ArrayList<>(); for (char c : s.toCharArray()) { characterList.add(c); } return Flux.fromIterable(characterList).delayElements(Duration.ofMillis(100)); }); FluxFromConcatMap = fluxString.concatMap(s -> { List characterList = new ArrayList<>(); for (char c : s.toCharArray()) { characterList.add(c); } return Flux.fromIterable(characterList).delayElements(Duration.ofMillis(100)); }); // //System.out.println(elements in Flux using Map);fluxFromMap.subscribe(s -> System.out.printf(%s , s));System.out.println(nnElements in Flux From FlatMap);fluxFromFlatMap.subscribe(character -> System.out.printf(%c , character));//wait for all elementsThread.sleep(1000);System.out.println(nnElements in Flux From ConcatMap);fluxFromConcatMap.subscribe(character -> System.out.printf(%c , character));//wait for all elementsThread.sleep(1500);} You can see the output of the code below: Articles in stream with card FLORIAN NATHAN Power elements of a flat card n f a l t o g r a t i o n ConcatMap flow elements f l o r i a n a t h a n n We used the folder operator to convert each name to upper case. The operators FlatMap and ConcatMap were used to retrieve the character stream of names. You can see that the characters in the stream created with FlatMap are not in the same order as in the source word. While those of the stream obtained by ConcatMap are correct. This shows that ConcatMap waits for the thread created by each element to end, while FlatMap does not. These are the most used functions in Spring Webflux. We will use it in the next lesson to create a responsive REST controller. I hope that was helpful. Until the next lesson.Webflux is a new programming language developed by Webflux Labs that allows you to create cross-platform, high performance games. Webflux is a functional language, meaning it supports a wide variety of functional concepts: recursion, functional composition, pattern matching, higher order functions, currying, and anonymous functions to name a few. Like other functional languages, Webflux is statically typed, so function arguments are evaluated before they are passed to functions.. Read more about spring webflux vs spring mvc and let us know what you think.

Frequently Asked Questions

What is spring WebFlux?

The term “spring Webflux” or “spring flux” is a type of programming language used in game development. This is a programming language which is used in designing games. In this language, the database is used to store the data of the objects and other resources in the game. The thing which makes it unique is the ability of the language to change the data in the database without having to reload the entire game. This is achieved by using the transactions in the Spring Webflux language. Spring Webflux is a framework for developing Web applications in Spring 4.x and Spring Boot. It is based on reactive programming and reactive streams, a collection of HTTP and WebSocket-specific concepts and features.

How do you learn Spring WebFlux?

Hello, and welcome to a blogpost on understanding Webflux for beginners. In this blogpost I will be describing the major concepts of Webflux. Webflux is a new Spring framework that came into existence as a successor to Hibernate. The most obvious difference between Hibernate and Webflux is that Hibernate works with JPA (Java Persistence API) and Webflux works with JSON. Spring Webflux is a new framework that uses Akka and Scala to create reactive web applications. Akka is a wonderful actor-model, and Spring is a very simple but powerful framework for web applications that is used by a lot of people. Webflux is an application of Akka and Spring. Webflux is a reactive programming pattern that uses Akka and the Spring application framework, allowing you to build reactive programs.

How does Spring WebFlux work?

Spring Webflux is a cool new feature in Spring Boot 2.0, that lets you interact with a Spring Boot application from the browser. It is designed to make it easy for developers to use Spring Boot, without writing a lot of code. This year, Spring Webflux is coming into it’s second year and we’re working hard to keep up with the ever-evolving web. We’re seeing more and more web frameworks and libraries at the moment, some of which are exciting and others which are a little confusing. One of the latest and most exciting frameworks is the Spring Webflux.

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