This repository provides a comprehensive collection of Spring Boot integration examples, targeting developers seeking practical demonstrations of various technologies within the Spring ecosystem. It offers ready-to-use code for over 170 scenarios, simplifying the adoption of diverse components like databases, messaging queues, caching solutions, and AI integrations.

How It Works

The project is structured as a modular Spring Boot application, with each module showcasing a specific integration. It leverages Docker for environment setup, aiming to provide a consistent and reproducible experience for users. The examples cover a wide array of functionalities, from basic Redis integration to advanced topics like distributed transactions with Seata and AI model integration with LangChain.

Quick Start & Requirements

• Installation: The README suggests using Docker for environment setup, implying a docker-compose up or similar command for running the integrated services. Specific commands for running individual modules are not detailed.
• Prerequisites: Docker is the primary requirement. The project mentions compatibility with Spring Boot 3.x/JDK 17 and Spring Boot 2.x/JDK 8, depending on the module's parent POM.
• Resources: No specific resource estimates are provided, but Dockerized environments for multiple services can be resource-intensive.
• Documentation: Links to Chinese/English documentation are provided for each module.

Highlighted Details

• Over 170 distinct Spring Boot integration scenarios are demonstrated.
• Docker-based environment setup is emphasized for ease of use.
• Modules cover a broad spectrum of technologies including databases (MySQL, MongoDB, Neo4j), messaging (Kafka, RocketMQ, RabbitMQ), caching (Redis, Hazelcast), AI (OpenAI, TensorFlow, Deeplearning4j), and more.
• Examples include integrations with distributed systems (Nacos, Dubbo, Seata) and observability tools (Prometheus, Zipkin).

Maintenance & Community

The project is maintained by "Harries" and appears to be a personal project. Community interaction is encouraged via GitHub issues.

Licensing & Compatibility

The repository does not explicitly state a license. Compatibility for commercial use or closed-source linking is therefore undetermined.

Limitations & Caveats

The lack of a specified license poses a significant adoption blocker for commercial use. Detailed instructions for running individual modules outside of the Dockerized environment are not provided, and the sheer number of modules might lead to a large resource footprint.