Gain insights into building Reactive Web Applications with Spring Boot 2 and Spring WebFlux, from database integration to front-end. Explore Reactive vs MVC, performance, and deployment with Docker.   


Full Reactive Stack with Spring Boot 2 and Spring WebFlux.png

tarball.tar.gz

initialzr

spring-mongo-only

Lesson-playing-with-reactive-endpoints

angular-app-with spring-mongo

angular-app-with spring-mongo-copy

spring-mongo-only-copy

initialzr-copy

This course is your guide to using Spring Boot 2 and Spring WebFlux to create Reactive Web Applications. 

You will learn how to build a full-reactive system from the database (MongoDB reactive) to the front-end (Angular), using a Reactive programming strategy leveraged by Spring WebFlux, with the simplicity offered by Spring Boot 2. 

Beyond that though, you will be able to compare the Spring WebFlux with the standard MVC approach as well, covering the main aspects such as simplicity, performance, user experience, and more.

The last part of the course ties it all up by teaching you to run the application using Docker compose. By the end of this course, you will have a great new skill for your resume and you’ll be able to build your own projects using the full Reactive stack.

Full Reactive Stack: Spring Boot 2 & Spring WebFlux

# Data loader

By now, we have all the code we need to run our Spring Boot application. However, we don’t have the quotes stored in the database yet. We’ll solve this by reading them from a text version of the book and storing them into MongoDB the first time the application runs.

In the project's GitHub repository, you’ll see a file containing the ebook in text mode: `pg2000.txt`. The first time we run the application, every paragraph will be stored as a quote in MongoDB. To achieve this, we inject an `ApplicationRunner` implementation in the application’s context: the `QuijoteDataLoader` class.

> You can learn more about how the `ApplicationRunner` approach works in the [Spring Boot's reference documentation](https://docs.spring.io/spring-boot/docs/current/reference/htmlsingle/#boot-features-command-line-runner).

In our case, we'll first check if the data is already there on `line 17`. If it isn't, we'll create a Flux from a `BufferedReader` stream, and, for each line, we'll convert it to a `Quote` object and store it in the database. For the identifiers, we use a functional `Supplier` interface to generate a sequence. 

Learn how to load data into MongoDB with an ApplicationRunner and learn how fluxes work in a blocking programming style.

Reactive Web

Full Reactive Stack Backend

Connecting Angular With the WebFlux Backend

Conclusion

Appendix

Loading Data Into MongoDB With an ApplicationRunner

Data loader