xupeihuagudulei,github

api-generator

Api Generator是一款可以自动解析Controller类抽取REST接口信息并自动上传YApi的IDEA插件。YApi好伴侣，从此维护文档再也不是事儿了！

apollo-use-cases

展示Apollo配置中心的各种使用场景和示例代码，欢迎大家把日常工作中的更多配置使用案例分享出来！

async-http-client

Asynchronous Http and WebSocket Client library for Java

austin

消息推送平台:pencil: 推送下发【邮件】【短信】【微信服务号】【微信小程序】【企业微信】【钉钉】等消息类型。所使用的技术栈包括：SpringBoot、SpringDataJPA、MySQL、Docker、docker-compose、Kafka、Redis、Apollo、prometheus、Grafana、GrayLog、Flink、Xxl-job、Echarts等等

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-java8

Curated list of useful, if not amazing, resources that take advantage of Java 8 and "Modern Java" thinking.

BitSail is a distributed high-performance data integration engine which supports batch, streaming and incremental scenarios. BitSail is widely used to synchronize hundreds of trillions of data every day.

bpmn-spring-boot

工作流后端

buji-pac4j

pac4j security library for Shiro: OAuth, CAS, SAML, OpenID Connect, LDAP, JWT...

cjs-oauth2-sso-demo

OAuth2 SSO

closuretable

基于 ClosureTable 的数据库无限级分类示例。

code-snippet

demo code project

consistenthash

A universal Consistent Hash implementation in Java, which supports virtual nodes and user defined hash function

demo

all skill learning demo

demo-spring-boot

Demo of Springboot

docker-compose-efk

Collect Container Logs with EFK (Elasticsearch + Fluentd + Kibana) via Docker Fluentd Logging Driver

droolskafkasample

Sample project using kafka and drools

dynamic-threadpool

🔥 强大的动态线程池，附带监控报警功能（没有依赖中间件），完全遵循阿里巴巴编码规范。Powerful dynamic thread pool, does not rely on any middleware, with monitoring and alarm function.

dynamic-tp

🔥🔥🔥轻量级动态线程池，内置监控告警功能，基于主流配置中心（默认支持Nacos、Apollo，可通过SPI自定义实现）。Lightweight dynamic threadpool, with monitoring and alarming functions, base on popular config centers (default support Nacos、Apollo, can be customized through SPI).

easy-hbase

HBase操作封装的orm: easy-hbase,更方便的使用HBase

easyexcel

快速、简单避免OOM的java处理Excel工具

easyrule

COMPLEX ENTERPRISE APPLICATIONS USUALLY COME WITH VARYING BUSINESS LOGIC. SUCH CONDITIONS AND SUBSEQUENT SYSTEM ACTIONS, KNOWN AS RULES, ARE EVER VARYING AND DEMAND INVOLVEMENT OF DOMAIN SPECIFIC KNOWLEDGE MORE THAN TECHNOLOGY AND PROGRAMMING. THE RULES, THEREFORE, MUST RESIDE OUTSIDE THE CODEBASE AND ARE TO BE AUTHORED BY PEOPLE WITH CORE DOMAIN EXPERTISE WITH LITTLE TO NO- TECHNICAL /PROGRAMMING KNOWLEDGE. A SPECIFIC TYPE OF SOFTWARE TOOLS, KNOWN AS RULE ENGINES, CATER TO THIS CONTEXT. WHILE WE HAVE MANY SUCH RULE ENGINES AROUND, SUCH AS DROOLS (WHICH IS A FEATURE-RICH BRMS), EASY RULES, RULE BOOK, ORACLE RULES SDK, BLAZE (FICO), IBM DECISION MANAGER ETC. ENABLING RULE MANAGEMENT DECLARATIVELY WITH THEIR RESPECTIVE RICH FEATURES INCLUDING VERSION CONTROL ARE OFTEN VERY USEFUL FOR LOT OF THE APPLICATIONS. HOWEVER, IN CERTAIN LESSER COMPLEX SOLUTIONS, THEY OFTEN TURN OUT TO BE OVERKILL, AND REMAIN UNDERUTILISED. MAINTENANCE OF AN ADDITIONAL COMPONENT BECOMES MORE OF A LIABILITY THAN ASSET. IN THIS ARTICLE WE ATTEMPT TO ILLUSTRATE HOW INHERENT FEATURES OF JAVA CAN BE LEVERAGED TO EXTERNALIZE RULES IN THE SIMPLEST POSSIBLE WAY, WITHOUT NARROWING DOWN TO ANY TRANSITIVE DEPENDENCY OF ADDITIONAL FRAMEWORKS. THE APPROACH IS USEFUL WHEN TECHNICAL RULES (SNIPPET WRITTEN IN JAVA) NEEDS TO BE EXTERNALIZED AND CAN CHANGE FREQUENTLY. THE APPROACH, THEREFORE, HOLDS EQUALLY WORTHY ACROSS ANY JAVA ECOSYSTEM, REGARDLESS OF FRAMEWORKS. PROVIDING A SIMPLE POJO BASED DECLARATIVE MODEL FOR RULES THAT ARE LOADED FROM EXTERNAL RESOURCE STREAMS, IT ALLOWS RULES TO BE AUTHORED OUTSIDE THE APPLICATION WITHOUT EVEN REQUIRING AN APPLICATION DOWNTIME. WE CAN INTEGRATE IT EASILY WITH SPRING MICRO SERVICES AND CLOUD CONFIGURATION WITH AND WITHOUT CLOUD BUS. THE APPROACH PROVIDES ENCRYPTION-AT-REST TO ENSURE SAFETY (CONFIDENTIALITY AND INTEGRITY) OF BUSINESS RULES. PLUS, APART FROM SUPPORTING JASYPT AND SPRING CONFIG CIPHERING, ANY CUSTOM SECURITY CAN BE PLUGGED-IN TO IT.

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