mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于Spring Boot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
- spring-boot
- spring-security
- mybatis
- docker
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😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
about learning Spring Boot via examples. Spring Boot 教程、技术栈示例代码，快速简单上手教程。
- spring-boot
- spring-data-jpa
- mybatis
- thymeleaf
Orchestrate everything, everywhere. The open-source control plane for workflows across data, infrastructure, business processes and AI agents. Declarative YAML, event-driven, any language, Git-versioned, scalable to millions of executions.
- orchestration
- data-orchestration
- high-availability
- infrastructure-as-code
🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
mall学习教程，架构、业务、技术要点全方位解析。mall项目（60k+star）是一套电商系统，使用现阶段主流技术实现。涵盖了SpringBoot、MyBatis、Elasticsearch、RabbitMQ、Redis、MongoDB、MySQL等技术，采用Docker容器化部署。
- springboot
- mybatis
- elasticsearch
- rabbitmq
mall-swarm是一套微服务商城系统，采用了 Spring Cloud Alibaba、Spring Boot 3.5、Sa-Token、MyBatis、Elasticsearch、Docker、Kubernetes等核心技术，同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。
- springcloud
- springboot
- docker
- java
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
- messaging
- java
- c-plus-plus
- ipc
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
An easy-to-use BI server built for SQL lovers. Power data analysis in SQL and gain faster business insights.
Elassandra = Elasticsearch + Apache Cassandra
- cassandra
- elasticsearch
- search
- completion
Fast and reliable message broker built on top of Kafka.
Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing
- microservices
- reactive-streams
- distributed-systems
- service-mesh
Emissary is simple, yet 🗲FAST🗲 messaging library for decoupling messages (requests and events) and message handlers 🚀
- java
- jvm
- messaging
- requests
A production-grade HBase ORM library that makes accessing HBase clean, fast and fun (Can also be used as Bigtable ORM)
- hbase
- orm
- mapreduce
- object-mapping
A JMeter plug-in that enables you to send test results to a Kafka server