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publiccms icon publiccms

百万行代码修改,只为产品精益求精 Public CMS采用2019年最新主流JAVA技术开发;完全开源,架构科学,SEO友好,轻松支撑千万数据、千万PV;目前已经拥有全球0.0002%的用户,诸多明星网站案例。提供免费版本产品、免费技术支持,为您快速建站,建设大规模站点提供强大驱动,也是企业级项目产品原型的良好选择。

python-spider icon python-spider

:rainbow:Python3网络爬虫实战:VIP视频破解助手;GEETEST验证码破解;小说、动漫下载;手机APP爬取;财务报表入库;火车票抢票;抖音APP视频下载;百万英雄辅助;网易云音乐下载;B站视频和弹幕下载;京东晒单图下载

radiant-player-mac icon radiant-player-mac

:notes: Turn Google Play Music into a separate, beautiful application that integrates with your Mac.

readmore icon readmore

一个基于Vue2全家桶和追书神器api开发的读书WebApp。

redis-game-transaction icon redis-game-transaction

在大型游戏中经常使用分布式,分布式中因为游戏逻辑会经常游戏事务,借助redis特性我们可以实现分布式锁和分布式事务。很多redis集群不支持redis的事务特性。 这个框架用来解决分布式服务器下redis集群事务失效的情况下,基于分布式锁完成分布式事务。支持独占锁,共享锁,读写锁,并且支持事务提交失败情况下的回滚操作,让开发者可以有更多时间侧重游戏逻辑.

redisson icon redisson

Redisson - distributed Java objects and services (Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate) on top of Redis server. State of the Art Redis Java client

rocketmq-spring icon rocketmq-spring

Apache RocketMQ Spring Integration 。源码解析 http://www.iocoder.cn/categories/RocketMQ/?github

rocketmq_358 icon rocketmq_358

来自阿里的RocketMQ3.5.8版本,增加了对事务消息的完整支持。

roncoo-pay icon roncoo-pay

龙果支付系统是国内首款开源的互联网支付系统,其核心目标是汇聚所有主流支付渠道,打造一款轻量、便捷、易用,且集支付、资金对账、资金清结算于一体的支付系统,满足互联网业务系统的收款和业务资金管理需求。

sc icon sc

基于SpringCloud微服务的示例项目、出发点是写一套完整微服务架构、集成有eureka、ribbon、feign、hystrix组件等,消费端有JSP、freemarker、thymeleaf三个版本,有完整的UI、增删改查及分页,防SQL注入、XSS攻击拦截等,同时集成了shiro、swagger2等,后面会持续完善 GitHub: https://github.com/wangxinforme/sc , 开源**: https://gitee.com/wangxinforme/sc

seata icon seata

:fire: Seata is an easy-to-use, high-performance, java based, open source distributed transaction solution.

sharding-jdbc icon sharding-jdbc

A JDBC driver for shard databases and tables。源码解析文章:http://www.iocoder.cn/categories/Sharding-JDBC/?github

sharding-method icon sharding-method

分表分库的新思路——服务层Sharding框架,全SQL、全数据库兼容,ACID特性与原生数据库一致,能实现RR级别读写分离,无SQL解析性能更高

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