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macrozheng/mall-swarm

12,939JavaAudience · developerComplexity · 5/5Setup · hard

TLDR

A complete e-commerce platform built as Java microservices, covering product management, orders, search, and customer storefront, designed as a learning reference and production-ready starting point.

Mindmap

mindmap
  root((mall-swarm))
    What it does
      E-commerce platform
      Microservices
      Admin and storefront
    Services
      Product search
      Order processing
      User auth
    Tech Stack
      Java Spring Cloud
      MySQL Redis
      Vue Docker
    Audience
      Backend developers
      Java learners
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Code map

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Things people build with this

USE CASE 1

Use this project as a blueprint to build a production-grade online store with separate microservices for products, orders, and user authentication.

USE CASE 2

Study how Spring Cloud, Elasticsearch, Redis, and RabbitMQ work together in a real Java e-commerce application.

USE CASE 3

Deploy the microservices using Docker and Kubernetes for hands-on cloud-native Java development practice.

USE CASE 4

Start from this codebase and add your own product catalog, payment integration, and storefront branding.

Tech stack

JavaSpring BootSpring CloudMySQLRedisElasticsearchVueDocker

Getting it running

Difficulty · hard Time to first run · 1day+

Requires running MySQL, Redis, Elasticsearch, RabbitMQ, MongoDB, and Kubernetes, significant infrastructure to set up locally.

In plain English

mall-swarm is a complete e-commerce platform built with a microservices architecture, meaning it is split into many smaller independent services rather than one large application. It is written primarily in Java and is designed to serve as a learning reference and a practical starting point for developers who want to build a production-grade online store. The README and documentation are written in Chinese. The platform covers the typical pieces of a real e-commerce system: a backend admin panel for managing products and orders, a storefront for customers (optimized for mobile), product search, user authentication, and system monitoring. These are each separated into their own service within the project, so teams can work on them independently or scale them separately. On the technical side, the project pulls together a large number of well-known tools and frameworks. Spring Cloud and Spring Cloud Alibaba handle service communication and coordination. Spring Boot provides the application server base. MyBatis connects to the MySQL database. Elasticsearch powers product search. Redis handles caching. RabbitMQ manages background message queues. MongoDB stores certain types of data. Docker and Kubernetes are used for packaging and running the services in containers. The admin panel and customer-facing storefront are built with Vue, a JavaScript frontend framework. The project is organized into several modules: shared utilities, database code generation, an authentication service, an API gateway, a monitoring dashboard, the main admin service, the search service, the customer portal service, and a demo service for testing remote calls. Setup instructions are provided for Windows development environments and reference a companion learning site with video tutorials and full Spring Cloud guides. The project also links to related repositories for the admin frontend and the mobile storefront frontend.

Copy-paste prompts

Prompt 1
I'm building an e-commerce backend with Spring Cloud microservices. Using mall-swarm as a reference, show me how the API gateway routes requests to the product and order services.
Prompt 2
Using the mall-swarm project structure, show me how the search service integrates Elasticsearch to handle product search queries efficiently.
Prompt 3
Based on mall-swarm's architecture, how do I configure RabbitMQ to handle async order processing between the order service and the inventory service?
Prompt 4
I want to run mall-swarm locally on Windows using Docker. Walk me through setting up all the required services so the admin panel works.
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