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Full Reactive Stack with Spring Boot (WebFlux), MongoDB and Angular
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Full Reactive Stack Build Status

This repository contains backend and frontend projects that make use of Reactive Web patterns, as explained in the mini book Full Reactive Stack with Spring Boot 2, WebFlux, MongoDB and Angular and also in the Full Reactive Stack series of posts.

Full Reactive Stack Overview

Get the mini-book

You can get a copy of the mini-book on LeanPub: Full Reactive Stack with Spring Boot 2, WebFlux, MongoDB and Angular.


Spring Boot Reactive Web

This is a Spring Boot 2.0 application that retrieves data using Spring Reactive Web (WebFlux), instead of using the standard synchronous MVC framework. It connects to a MongoDB database in a reactive way too.

Check this blog post for the complete description of the implementation.

Angular Reactive

This simple Angular application consumes the controller on the backend side using a reactive approach, Server-Sent Events, so data is loaded on screen as soon as it's available.

This blog post has the full instructions on how it has been implemented.


The docker folder contains a docker-compose file that runs the Mongo database, the backend application and the Angular application. It also contains a simplified version, docker-compose-mongo-only.yml, which runs only the MongoDB instance, in case you want to run the applications without docker.

Running the applications with Docker

Make sure to build the applications first:

  • For the Angular application, run first npm install and then npm run ng build in the angular-reactive folder. It generates a dist folder.
  • For the Spring Boot application, execute mvnw clean package in the spring-boot-reactive-web folder. That command generates the jar file in the target folder.

Then you need to run docker-compose up from the docker folder. After the services are executed, you can navigate to localhost:8900 to see the applications running. If you're running Docker in a different machine (like when using a VM in Windows), replace localhost for the Docker machine IP.

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