BigData
- Apache Kafka : Introduction and Overview
- Apache Kafka : Install Zookeeper ensemble on AWS EC2
- Apache Kafka : Developing Producer & Consumer in Java
- Elasticsearch : Introduction to Spring Data Elasticsearch
- Elasticsearch : Getting started with Elasticsearch & Kibana
- Apache Kafka : Best Practices-Topic, Partitions, Consumers and Producers
- Getting started with Spring Data MongoDB (Spring Boot + MongoDB)
- Apache Kafka : Setup Multi Broker Kafka Cluster on Amazon EC2
Mar 31, 2024
In this article we will see how to integrate and use "Elasticsearch" in "Spring Boot" with the help of "Spring Data Elasticsearch".
We are going to use default configurations for now, while providing only the "elasticsearch.host" and "elasticsearch.port" in "application.properties".
1) Download and Install Elasticsearch
Download the latest Elasticsearch release and extract it:
% wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.17.3-darwin-x86_64.tar.gz % tar -zxvf elasticsearch-7.17.3-darwin-x86_64.tar.gz % cd elasticsearch-7.17.3
Run the following command in order to start Elasticsearch:
% bin/elasticsearch
Run the following command in a new tab to check status:
% curl http://localhost:9200/
{ "name" : "Codeburps-MacBook-Pro.local", "cluster_name" : "elasticsearch", "cluster_uuid" : "FflvHoxoS_q2MYxrTKZuWw", "version" : { "number" : "7.17.3", "build_flavor" : "default", "build_type" : "tar", "build_hash" : "5ad023604c8d7416c9eb6c0eadb62b14e766caff", "build_date" : "2022-04-19T08:11:19.070913226Z", "build_snapshot" : false, "lucene_version" : "8.11.1", "minimum_wire_compatibility_version" : "6.8.0", "minimum_index_compatibility_version" : "6.0.0-beta1" }, "tagline" : "You Know, for Search" }
2) Spring Data Elasticsearch Example
2.1) Dependencies
Lets create a project with Spring Initializr, make sure to add required dependencies as shown in the picture below:
Also add "springdoc-openapi-ui" dependency to project, we need this to test our APIs. The final "pom.xml" should look something like this:
2.2) Properties file
Lets add required "elasticsearch.host", "elasticsearch.port" and "swagger" related properties to "application.properties".
2.3) Model/Schema
We are creating "CRUD" Rest APIs" for an "Article (doc)", here is the model to represent it:
2.4) Repository
This is where "Spring Data Elasticsearch" comes into the picture, we are creating an "ArticleRepository" implementing "ElasticsearchRepository", this will save us from writing any boilerplate code.
Read More: Spring Data Elasticsearch.
2.5) Controller
Finally, this is the place where we are defining rest endpoints for our service; please take special attention to the usage of "consumes" and "produces".
2.6) Spring Boot
This is plain old Spring Boot driver class; all the execution starts from here.
2.7) Testing
Now we are all done with our project setup, remember we have added a dependency for "springdoc-openapi-ui". This will help us in testing our end-points with an inbuilt interface.
Run the application and swagger UI for testing APIs can be accessed here: http://localhost:8080/swagger-ui.html
Apache Kafka : Developing Producer & Consumer in Java
NK Chauhan
NK Chauhan is a Principal Software Engineer with one of the biggest E Commerce company in the World.
Chauhan has around 12 Yrs of experience with a focus on JVM based technologies and Big Data.
His hobbies include playing Cricket, Video Games and hanging with friends.