Step 2: Exploring the app

The app is a simple microservice based on Spring Boot for rating conference talks. It provides an API to track the ratings of the talks in real time.
Storage
SQL database with the talks
When a rating is submitted, we must verify that the talk for the given ID is present in our database.
Our database of choice is PostgreSQL, accessed with Spring JDBC.
Check com.example.demo.repository.TalksRepository.
Redis
We store the ratings in Redis database with Spring Data Redis.
Check com.example.demo.repository.RatingsRepository.
Kafka
We use ES/CQRS to materialize the events into the state. Kafka acts as a broker and we use Spring Kafka.
Check com.example.demo.streams.RatingsListener.
API
The API is a Spring Web REST controller (com.example.demo.api.RatingsController) and exposes two endpoints:
POST /ratings { "talkId": ?, "value": 1-5 } to add a rating for a talk
GET /ratings?talkId=? to get the histogram of ratings of the given talk

Step 1: Getting Started

Step 3: Adding some tests

Last modified 1yr ago