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.   


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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

Project Reactor implements the Reactive Patterns with the ____________ classes.

Project Reactor implements the Reactive Patterns with the ____________ classes.

Let the subscriber pull the data and be in control of the reactive stream

Create a buffer on the publisher's side to give some time to the subscriber

Publish data as soon as it's ready without "waiting" for subscribers

When publishing data, Reactor allows you to ____________.

When publishing data, Reactor allows you to ____________.

Nothing happens until a subscriber starts getting data.

The code you write after that line won't be executed until it finishes.

If you declare a Flux that looks for the first 10,000 prime numbers and publishes them, ___________________.

If you declare a Flux that looks for the first 10,000 prime numbers and publishes them, ___________________.

Mono has some extra methods for convenience, e.g., to concatenate Monos as a Flux.

Which of the following statements is/are true?

Which of the following statements is/are true?

Create an interface that extends `CrudRepository` as usual and add methods that return either a `Flux` or a `Mono`

Create an interface that extends `ReactiveCrudRepository`, and add methods that return either a `Flux` or a `Mono`

To implement a reactive repository with Spring Data, you could ___________.

To implement a reactive repository with Spring Data, you could ___________.

Saves the `quote` object and returns a `Mono`, which, in this case, is just ignored

Does not save the quote until a subscriber tries to get the result of the operation

If you use a reactive repository, the `quoteRepository.save(quote);` call  ___________.

If you use a reactive repository, the <code>quoteRepository.save(quote);</code> call ___________.

Create a controller annotated with `RestController` and a method annotated with `@GetMapping` that returns a `Flux`

Create a controller annotated with `ReactiveRestController` and a method annotated with `@GetMapping` that returns a `Flux`

To implement a reactive controller with WebFlux, you could _____________.

To implement a reactive controller with WebFlux, you could _____________.

We must use reactive streams in each one of the layers; the final subscriber will trigger the reactive chain down to the database.

We can collect data in streams and use other programming styles as long as we end up returning a Flux or a Mono.

In a multi-layer backend application (e.g., controller-service-repository), if we want to achieve a reactive API:

In a multi-layer backend application (e.g., controller-service-repository), if we want to achieve a reactive API:

Reactive web apps can't do pagination at the server-side; the subscriber just stops the subscription and resumes it later.


Reactive web apps can also provide pagination parameters, so the subscriber can get a reactive stream of a limited size.

Which of the following statements about reactive web apps is true?

Which of the following statements about reactive web apps is true?

You can consume data as it comes from a JSON response with `Accept: application/json`.

You can also consume data in a blocking style.

You should keep the HTTP connection open while you receive all the Server-Sent Events data chunks.

When consuming a reactive web API in a Reactive way in Spring, which of the following statements is/are true?

When consuming a reactive web API in a Reactive way in Spring, which of the following statements is/are true?

Full reactive stack backend quiz

Full reactive stack backend quiz

Time for a quick quiz on the topic of full reactive stack backend.

Reactive Web

Full Reactive Stack Backend

Connecting Angular With the WebFlux Backend

Conclusion

Appendix

Quiz: Full Reactive Stack Backend