Spring Boot,Spring Data and Elasticsearch

In this example, we will discuss about How to create a Spring Boot, Spring Data and Elasticsearch Example.

Tools/libraries used

1. Spring Boot
2. Spring Boot Starter Data Elasticsearch
3. Elasticsearch 2.4
4. Kibana 4.6

SpringBoot 1.5.*.RELEASE supports only ElasticSearch 2.4.0. They don’t support the latest version of ElasticSearch 5.x version. Read this – Spring Data Elasticsearch Spring Boot version matrix and ELK Compatibility

Elastic and kibana installation

Run this command in the docker container to install elastic search

docker run -d -it --name kuldeep -p 9200:9200 -p 9300:9300 -e ES_JAVA_OPTS="-Xms1g -Xmx1g" -m 1500m elasticsearch:2.4

Run this command in the docker container to install kibana

docker run -d -it --name kibanak --link kuldeep:elasticsearch -p 5601:5601 kibana:4.6

Checking with docker ps command, all their container should be running

Code Flow

1. Download the code and import it to Eclipse or any Id

2. Run the project and make sure Java Container is able to connect Elastic Search

3. Call the SaveContact URL (http://localhost:8080/user/savecontact) to create a record

POST /user/savecontact HTTP/1.1 Host: localhost:8080 Content-Type: application/json Cache-Control: no-cache Postman-Token: 1d8e66f0-ea57-5ea5-4b6a-d9be1c751812

{ "id":"4", "contactId":"104", "name": "hello4", "email":"hello4@123.com", "company":"xcompany", "contactType":"3" }

4. Access the Kibana URL http://192.168.99.100:5601/app/kibana and go to Settings -> Indices

5. Next Step is to create Index, type contacts in the textbox and uncheck the "Index contains time based events"

6. Once Index is created we can check all the fields mentioned in bean has been created

7. Finally we can go to discover tab to check the data

Summary

We can do all the CRUD Operation here.