Download io.github.aresxue.boot JAR files with all dependencies

rpc快速使用，可自动从配置中心获取注册中心、线程池、超时时间等配置， 在rpc调用异常时将异常封装成标准响应对象返回给调用方，并自定义rpc telnet指令供开发测试使用， 业务可使用提供注解进行rpc服务的消费和提供，可实现消费和提供者服务批量管理，提供泛化调用工具 RPC use quickly, and the underlying implementation is currently dubbo, which can automatically obtain configurations such as registration center, thread pool, and timeout time from the configuration center. When dubbo calls an exception, it will encapsulate the exception into a standard response object and return it to the caller, and customize the dubbo telnet command. For development and testing, businesses can use annotations to consume and provide RPC services, realize batch management of consumption and provider services, and provide generalized calling tools

kafka的实现 Implementation of kafka

日志模块，集成log4j2, 提供工具类可静态打印日志, 业务可import通用日志配置(中间件配置和业务基础配置)开箱即用， 另外还提供http接口出入参打印和rpc提供者和消费者的出入参打印(有开关可以热启动和热关闭，同时可在线修改日志级别)， traceId在日志中进行输出以及普通文件日志之外的结构化日志( 供运维采集分析可视化)，提供全链路信息（包括tid）跨线程跨线程池的能力 Log module, integrates log4j2, provides tool classes that can print logs statically, business can import common log configurations (middleware configuration and business basic configuration) out of the box, and also provides http interface input and output parameter printing and rpc providers and consumers. Input and output parameter printing (there is a switch for hot start and hot shutdown, and the log level can be modified online), traceId is output in the log and structured logs other than ordinary file logs (for operation and maintenance collection and analysis visualization). The ability to provide full link information (including tid) across threads across thread pools.

配置中心快速使用，提供监听api配合热刷新使用 Config center use quickly, the monitoring api is provided for use with hot refresh

提供单测生成和覆盖率测试 Provide unit test case generate and coverage compute

schedulerx2的实现 Implementation of schedulerx2

缓存快速使用，可自动从配置中心获取缓存服务器信息，底层实现目前为redis，目前设置了默认序列化策略为json， 提供了易用和更强大的api，同时集成了多级缓存功能，用户可通过注解实现多级缓存功能，提供分布式锁实现 Cache use quickly, can automatically obtain cache server information from the configuration center, the bottom implementation is redis, the default serialization policy is set to json. Provides an easy to use and more powerful api, while integrating multi-level caching capabilities, users can realize multi-level caching capabilities through annotations, providing distributed lock implementation

数据库分片，可选的客户端分库分表方案 Database sharding, optional client database and table scheme