This is an example Spring Boot application that utilizes Spring Rest and Spring Data with MongoDB. I wrote this app after a job interview to demonstrate that I could learn Spring Boot quickly, even though I had no prior experience with it. My efforts must have been adequate, because I got the job!

I recently modernized this app to use Spring Boot 3, with SpringDoc. It uses Webflux with reactive repositories and functional reactive REST routers and handlers. To test the app, you do not even need to install MongoDB. Just get a working installation of Docker or Podman up and running, and it will stand up a MongoDB Testcontainer for you.

I obtained all team and player data from https://fantasydata.com through their REST API and reduced the data to fit into the scope of this application.

Ensure that you have a working Docker/Podman installation. If you are using Podman, set up two environment variables, e.g., in ~/.bash_profile:

export DOCKER_HOST=unix:///run/user/1000/podman/podman.sock
export TESTCONTAINERS_RYUK_DISABLED=true

If your user ID is not 1000, be sure to change the path for your user ID so that the build can use whichever OCI implementation you have installed and configured.

From the base project directory, invoke "mvn clean package".

There are two options for running this application:

1. Ensure that MongoDB is running with defaults on the local machine (mongodb://localhost:27017)
2. Rely on Docker/Podman and the app will spin up a MongoDB Testcontainer

1. If you have an instance of MongoDB running: From the base project directory, invoke java -jar target/boot-rest-data-1.0.0-SNAPSHOT.jar
2. If you want to let the app use Docker/Podman: From the base project directory, invoke mvn spring-boot:test-run

Navigate to http://localhost:8080/team-player/swagger-ui.html to use the generated user interface to interact with the REST endpoints.

For either way that you run the application, you will need to invoke the init endpoint to populate the database with team and player data. You can find this on the swagger page from the link above. After the data has been ingested, you can use any of the other endpoints to operate on the data that you have loaded.