Spring Boot with Elasticsearch in Action

Example of implementing CRUD operations for Elasticsearch in Spring Boot applications

Overview

The application is designed as an internal microservice with no user interface.

Once the application is launched, it will need to communicate with Elasticsearch. The following endpoints will then be available:

Method	Path	Description
POST	/items	Registration of a new document to be saved in Elasticsearch
GET	/items/get/{id}	Find a document by ID
GET	/items/search/{term}	Find all documents by content
GET	/items/{pageNumber}/{pageSize}	Getting all documents with pagination
POST	/items/update	Update document. If document with ID not exist, it will be saved in Elasticsearch
DELETE	/items/{id}	Delete the document by ID

API documentation will be available once the application is started

Technologies

• Java - version 21
• Maven - for building the application
• Spring Boot - version 3.4.3
• Spring Cloud - version 2023.0.3
• Spring Boot Actuator - it's for real-world applications
• Spring Boot Maven Plugin - for create Docker-Image
• Docker - containerization
• Docker-Compose - infrastructure
• Elasticsearch - version 8.17.2 as NoSQL database

Structure of the project

spring-boot-with-mongodb-in-action/
├── src/main/
|   ├── java/com/dudko/example/
|   |   ├── controller/             # domain level of requests and controllers
|   |   ├── domain/                 # persistent domain level and repositories
|   |   ├── model/                  # service level of the domain, used in business logic
|   |   ├── service/                # business logic
|   ├── resources/                  # configs
├── compose.yml                     # docker-compose file
├── pom.xml                         # artifact of Maven
├── postman_collection.json         # collection of requests for Postman

How to try this project?

docker-compose -f compose.yml up

Author:

Anatoly Dudko