bizyb / spring-elastic-genie

🧶This project will showcase how to use Elasticsearch and Kibana with Spring Boot.

spring-elastic-genie

Intro

This project will showcase how to use Elasticsearch and Kibana with Spring Boot. You can add movies fetched from OMDB to your PostgreSQL database through a simple CRUD REST interface, which will in turn be indexed by Elasticsearch. Once indexed, you can visualize your data with Kibana.

Config

In order to configure this app you should look at:

• core.env.dist and create a core.env file with those variables (used by docker-compose etc.)
• application.properties contains all the bindings for the defined ENV variables for the DB and Elasticsearch.
• /logstash/config-dir/ contains all the standard configs from Logstash with a custom logstash.conf, which has the DB credentials etc. and drivers/ contains the pgjdbc driver needed to connect to PostgreSQL

Logstash Disclaimer: currently Logstash is only configured to get data from PostgreSQL with a simple SQL query but it does not have filters for duplicates etc. There are numerous Logstash tutorials you can follow to filter your data.

Local build with gradle

./gradlew build && java -jar build/libs/spring-elastic-genie-0.0.1.jar

Docker build

./gradlew build
docker-compose build
docker-compose up

Using the API

Here is how you can use the app. This POST request will send a search query to OMDB's API and save the movies in your local PostgreSQL DB, which can in turn be indexed by Elasticsearch.

curl -X POST \
  http://localhost:8080/movie/add \
  -H 'Content-Type: application/json' \
  -d '{
    "search": "Rush Hour 3"
}'