https://github.com/vladovsiychuk/microservice-demo-java

Demo API service in Java with all necessary settings. Integrates PostgreSQL, MongoDB and Redis.
https://github.com/vladovsiychuk/microservice-demo-java

java microservice mongodb postgresql redis spring-boot

Last synced: 1 day ago
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Demo API service in Java with all necessary settings. Integrates PostgreSQL, MongoDB and Redis.

• Host: GitHub
• URL: https://github.com/vladovsiychuk/microservice-demo-java
• Owner: vladovsiychuk
• Created: 2024-10-05T11:29:14.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-02-01T12:13:31.000Z (13 days ago)
• Last Synced: 2025-02-01T13:24:12.775Z (13 days ago)
• Topics: java, microservice, mongodb, postgresql, redis, spring-boot
• Language: Java
• Homepage:
• Size: 149 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Social Media API Service Demo

This project demonstrates a microservice architecture for a social media platform using Spring Boot. IIt has two main domains: **Post** and **Comment**, each managed as a separate domain. The project employs a CQRS pattern for efficient data retrieval and updating, with integration of PostgreSQL, MongoDB, and Redis.

### Key Features

**Domains**:

- Post Domain: Handles post creation, updates, and deletion.

- Comment Domain: Manages comments linked to posts.

- Each domain uses its own table in PostgreSQL to store the entities.

- CQRS (Command Query Responsibility Segregation):

- When an entity (post or comment) is saved or updated, an application event is triggered.

- This event is consumed by a backend-for-frontend (BFF) module, which updates the post aggregate in MongoDB.

- MongoDB stores the Post aggregate as a JSON object, making it available for fast data retrieval by the frontend.

**MongoDB**:

- Stores the aggregate as JSON, allowing quick and efficient access to data for frontend clients.

- Updates the aggregate when new comments are added or posts are created.

**Redis Cache**:

- Caches REST requests for the post aggregate, optimizing performance and reducing load on MongoDB.

**Technology Stack**

- Spring Boot

- PostgreSQL

- MongoDB

- Redis

- CQRS Pattern

**How it Works**

- When a post or comment is created or updated, it is saved to the relevant domain’s table in PostgreSQL.

- The domain triggers an application event.

- The backend-for-frontend (BFF) module listens for these events and updates the Post aggregate in MongoDB.

- The aggregate is used to provide fast data to the frontend.

- Redis caches REST requests for the aggregate, further improving performance.

This project is a simple demonstration of using microservice architecture with CQRS, event-driven communication, caching, and multiple database technologies.