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盘古服务开发框架的中后台业务系统前后端统一解决方案。并预置了轻量成熟的权限系统参考实现，用户可以基于此快速搭建中后台业务系统二次开发脚手架。 盘古移动端多平台开发脚手架 盘古移动端多平台开发脚手架（PanGu App Starter) 是集成了 uni-app 内置组件、官方扩展组件和全面兼容 nvue 的 uni-app 生态框架 uView UI 的多平台快速开发脚手架。用户可以基于此完成Android/IOS App、微信小程序、H5 应用的快速开发（一次开发，针对不同平台编译发布版本）。 适用场景 基于盘古开发框架的前、中、后台三维多端行业数字化赋能能力，用户既能快速构建面向（移动）互联网的电商、金融、云端 SAAS 服务等大并发高可用可扩展的互联网应用场景，同时也能满足诸如 ERP 、CRM 等各种企业数字化和各级电子政务系统的中小规模业务需求。 生态架构图 生态子项目 适用场景 生态架构图","s":"盘古开发框架简介","u":"/pangu-framework/intro","h":"","p":17},{"i":20,"t":"1 篇文档带有标签「FAQ」 查看所有标签 日常开发常见问答 常见问答 | 盘古 APP Starter","s":"1 篇文档带有标签「FAQ」","u":"/pangu-framework/app/tags/faq","h":"","p":19},{"i":22,"t":"盘古 Admin ：中后台业务系统二次开发脚手架 在线演示地址 https://pangu-admin.pulanit.com 演示系统截屏 1 2 3 4 5 6 7 8 9 10 11 12 13 14 在线演示地址 演示系统截屏","s":"盘古 Admin ：中后台业务系统二次开发脚手架","u":"/pangu-framework/online-demo","h":"","p":21},{"i":24,"t":"盘古 APP : 移动端多平台快速开发脚手架 微信小程序在线演示 微信扫描访问 H5 Web 应用在线演示 微信或手机浏览器扫码访问 电脑端浏览器模拟访问 https://pangu-app-starter.pulanit.com/h5.html Android 原生应用在线演示 手机浏览器扫码下载安装（微信扫码无效） 在线演示截屏 1 2 3 4 5 6 7 8 9 10 11 微信小程序在线演示 H5 Web 应用在线演示 Android 原生应用在线演示 在线演示截屏","s":"盘古 APP : 移动端多平台快速开发脚手架","u":"/pangu-framework/online-demo-app","h":"","p":23},{"i":26,"t":"致敬 & 鸣谢 信息 盘古开发框架使用了很多优秀的开源项目，也正是由于站在这些开源项目的肩膀上，才有盘古开发框架诞生的可能。我们也希望不仅是开源的受益者，也能成为开源生态的贡献者。鉴于此，特单独列出如下盘古框架依赖到的开源基金会/社区组织、开源项目，为他们对开源世界所做出的卓越贡献表示致敬和感谢。 警告 下述列表排名不分先后，且不保证盘古开发框架资源依赖列表的完整性。 开源基金会/社区组织 Apache Software Foundation Spring Team GitHub Gitee 后端开源项目 Spring Framework：A key element of Spring is infrastructural support at the application level. so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments. Spring Boot：Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can \"just run\". Nacos：An easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications. Apache Dubbo：A high-performance, java based open source RPC framework.Dubbo offers six key functionalities, which include transparent interface based RPC, intelligent load balancing, automatic service registration and discovery, high extensibility, runtime traffic routing, and visualized service governance. MyBatis：A first class persistence framework with support for custom SQL, stored procedures and advanced mappings. MyBatis Plus：A powerful enhanced toolkit of MyBatis for simplify development. This toolkit provides some efficient, useful, out-of-the-box features for MyBatis. Laying Cahce：A multi-level caching framework that supports distributed environments. It uses Caffeine as a level 1 local cache and Redis as a level 2 centralized cache. ShardingSphere-JDBC：With the client end connecting directly to the database, it provides services in the form of a jar and requires no extra deployment and dependence for data sharding, readwrite-splitting, data encryption and shadow database etc. Seata：Seata is an open source distributed transaction solution that delivers high performance and easy to use distributed transaction services under a microservices architecture. Sentinel A powerful flow control component enabling reliability, resilience and monitoring for microservices. XXL Job：A distributed task scheduling framework. It's core design goal is to develop quickly and learn simple, lightweight, and easy to expand. Lock4j：Lock4j is a distributed lock component. Hutool：A set of tools that keep Java sweet. TLog：TLog is a lightweight distributed log tagging tracker. 前端开源项目 Vue.js 3：An approachable, performant and versatile framework for building web user interfaces. Element Plus：A Vue 3 based component library for designers and developers. SCUI：Vue3 + element plus based front-end solutions in the background. uni-app：是一个使用 Vue.js 开发所有前端应用的框架，开发者编写一套代码，可发布到iOS、Android、Web（响应式）、以及各种小程序（微信/支付宝/百度/头条/飞书/QQ/快手/钉钉/淘宝）、快应用等多个平台。 uView UI：是全面兼容nvue的uni-app生态框架，全面的组件和便捷的工具会让您信手拈来，如鱼得水。 开源基金会/社区组织 后端开源项目 前端开源项目","s":"致敬 & 鸣谢","u":"/pangu-framework/thanks","h":"","p":25},{"i":28,"t":"日常开发常见问答 日常开发常见问答 本文将重点关注 Admin 前端开发问题的收集汇总。后端开发相关问题请查阅 服务开发常见问答 1. 可以将盘古 Admin 的后端改为单体应用吗？ 必须可以。只需要将 pangu-admin-web 网关模块和 pangu-admin-system 权限模块做一些简单的合并即可。合并后就能将跨进程的 RPC 服务调用转变为 jvm 进程内本地服务调用。如果连配置中心都不想搭建的话，可以将配置直接改为本地配置文件。如此，就能使用传统的单体开发模式，将业务系统代码作为子包模块写入合并后的工程即可。 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： FAQ 最后由 xiongchun 于 2023年3月6日 更新 上一页 部署运维参考","s":"日常开发常见问答","u":"/pangu-framework/admin/faq","h":"","p":27},{"i":30,"t":"部署运维参考 本页总览 部署运维参考 本文仅讨论 Admin 前端部署。后端服务部署相关问题请查阅 服务开发文档。 编译源文件 # 进入项目目录 cd pangu-framework/pangu-admin/pangu-admin-frontend # 构建部署（生产模式）：编译后的文件将输出到 dist 文件夹 npm run build 部署 我们可以将 dist 文件夹内的文件直接部署到 ngix 或者 caddy 等 web 服务器。nginx 的相关资源已经非常丰富了，本文就以新兴 web 服务器 caddy 为例来展示如何部署盘古 admin。示例将达到如下效果： 静态资源部署。 反向代理盘古 Admin 后端统一网关接口。 包括静态资源和 API 接口全站自动启用 SSL。 基于 Nginx 部署盘古 Admin 略。相关资源非常丰富，请自行查阅。 基于 Caddy 部署盘古 Admin Caddy 简介 Caddy 2 is a powerful, enterprise-ready, open source web server with automatic HTTPS written in Go. — 摘自 Caddy 官网 充当 WebServer 部署项目静态网站。 充当流量网关方向代理后端的 Web 节点（业务网关）。 全站自动 SSL。包含静态网站和 API 请求。 解决跨域请求；解决前端 https 后端 http 的协议适配问题。 上传静态资源文件 将编译输出后 dist 文件夹内容上传到服务器某个路径。如：/var/www/pangu-admin 解析域名 登录域名服务商控制台，添加一条二级域名，如： pangu-admin.pulanit.com 的解析记录。 修改配置文件 # vi /etc/caddy/Caddyfile pangu-admin.pulanit.com { # Set this path to your site's directory. root * /var/www/pangu-admin encode gzip # Enable the static file server. file_server # Another common task is to set up a reverse proxy: reverse_proxy /api/* { # 可以指定多个后端业务网关 WEB 节点 to localhost:8080 } } 静态资源文件上传到目录：/var/www/pangu-admin。 Admin 后端部署不在本文讨论范围，本文仅通过 Caddy 反向代理后端业务网关。 通过如上配置，网站和 API 自动都拥有了 https 的能力。 测试 根据上述配置即可尝试访问盘古 Admin 首页了。https://pangu-admin.pulanit.com 提示 上述部署结构，使得静态网站和 API 处于同一域名下，解决了跨域的问题。但如果 API 需要反向代理到不同的端口下或者域名下，则可以设置业务网关的参数开启跨域支持，也可以在 Caddy 配置文件配置响应头参数以支持跨域访问。 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 部署 最后由 xiongchun 于 2023年3月6日 更新 上一页 新增业务功能模块 下一页 日常开发常见问答 编译源文件 部署 基于 Nginx 部署盘古 Admin 基于 Caddy 部署盘古 Admin 下一步","s":"部署运维参考","u":"/pangu-framework/admin/deploy-admin","h":"","p":29},{"i":32,"t":"快速开始 搭建前端开发环境 本页总览 搭建前端开发环境 工程结构说明 盘古 Admin 前端仓库代码路径：pangu-framework/pangu-admin/pangu-admin-frontend。 前端开发环境搭建 前端 IDE 可以自由选择，推荐 vscode。 安装 & 启动 安装依赖和启动需依赖npm。安装方法：https://nodejs.org/zh-cn # 进入项目目录 cd pangu-framework/pangu-admin/pangu-admin-frontend # 安装依赖 npm i # 启动项目 (开发模式) npm run serve # 构建部署（生产模式）：将根目录生成 dist 文件夹发布到服务器即可 npm run build 编译启动成功后可通过控制台提示信息开始访问。如：http://localhost:2800 Admin 权限系统截屏 如下为权限系统参考实现的部分截屏。完整体验请访问：在线演示系统。 1 2 3 4 5 6 7 8 9 10 11 12 13 14 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 Admin 最后由 xiongchun 于 2023年3月6日 更新 上一页 搭建后端开发环境 下一页 新增业务功能模块 工程结构说明 前端开发环境搭建 安装 & 启动 Admin 权限系统截屏 下一步","s":"搭建前端开发环境","u":"/pangu-framework/admin/how-to-create-frontend-environment","h":"","p":31},{"i":34,"t":"搭建开发环境 本页总览 搭建开发环境 工程结构说明 盘古 App 仓库代码路径：pangu-framework/pangu-app-starter。 开发环境搭建 由于 uni-app 依赖 HbuilderX，因此，我们开发盘古 APP 的 IDE 选择为 HbuilderX。 导入模版工程 使用 HbuilderX「文件 -> 导入 -> 从本地目录导入」菜单，导入 pangu-app-starter 模版工程。 安装依赖 安装依赖和启动需依赖npm。安装方法：https://nodejs.org/zh-cn # 进入项目目录 cd pangu-framework/pangu-app-starter # 安装依赖 npm i H5 Web 浏览器调试启动 使用 HbuilderX「运行 -> 运行到浏览器 -> Chrome」菜单，启动工程并通过浏览器访问。如下图所示。 微信小程序模拟器调试启动 安装微信开发者工具。 使用 HbuilderX 「运行 -> 运行到小程序模拟器 -> 微信开发者工具」菜单，HbuilderX 会编译输出小程序应用并连接微信开发者工具启动调试。如下图所示。 Android APP 真机调试启动 将 Android 手机用数据线与电脑连接，打开手机开发者调试模式。 使用 HbuilderX 「运行 -> 运行到手机或模拟器 -> 运行到 Android App 基座」菜单，HbuilderX 会将 Android 基座壳子安装到目标手机，并启动加载页面。如下图所示。 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 APP Starter 最后由 xiongchun 于 2023年3月6日 更新 上一页 简介 下一页 快速入门指南 工程结构说明 开发环境搭建 导入模版工程 安装依赖 H5 Web 浏览器调试启动 微信小程序模拟器调试启动 Android APP 真机调试启动 下一步","s":"搭建开发环境","u":"/pangu-framework/app/how-to-create-environment","h":"","p":33},{"i":36,"t":"简介 本页总览 简介 盘古 APP Starter 是集成了 uni-app 内置组件、官方扩展组件和全面兼容 nvue 的 uni-app 生态框架 uView UI 的移动端多平台快速开发脚手架。用户可以基于此完成Android/IOS App、微信小程序、H5 应用的快速开发。（一次开发，针对不同平台编译发布版本） uni-app 介绍 uni-app 是一个使用 Vue.js 开发所有前端应用的框架，开发者编写一套代码，可发布到 iOS、Android、Web（响应式）、以及各种小程序（微信/支付宝/百度/头条/飞书/QQ/快手/钉钉/淘宝）、快应用等多个平台。 uView UI 介绍 uView UI 是全面兼容 nvue 的 uni-app 生态框架，全面的组件和便捷的工具会让您信手拈来，如鱼得水。 HBuilderX 介绍 HbuilderX 是一款免费的前端开发 IDE。uni-app 的多端编译部署能力依赖于它。所以，盘古 APP Starter 的标准开发工具也就是 HBuilderX。 盘古 APP Starter 截屏 如下为盘古 APP Starter 的部分截屏。完整体验请访问：在线演示。 1 2 3 4 5 6 7 8 9 10 11 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 APP 最后由 xiongchun 于 2023年3月11日 更新 下一页 搭建开发环境 盘古 APP Starter 截屏 下一步","s":"简介","u":"/pangu-framework/app/intro","h":"","p":35},{"i":38,"t":"部署运维参考 本页总览 部署运维参考 发布 H5 Web 应用 将工程发布为手机 H5 Web 应用部署到静态资源服务器，可通过微信/手机浏览器等访问。 使用 HbuilderX「发行 -> 网站 PC-Web 或手机 H5」菜单，编译成功后执行文件将会输出到 unpackage/build/dist/h5 目录下。将该目录下文件直接发布到 Web 服务器即可。 如下为发布成功的盘古 APP Starter 模板工程的 H5 Web 应用。 微信或手机浏览器扫码访问 电脑端浏览器模拟访问 https://pangu-app-starter.pulanit.com/h5.html 发布微信小程序应用 请事先安装好微信开发者工具。下载安装 第一步：注册微信小程序账户 在微信 公众平台 注册小程序账户。（注意：一个邮箱地址注册一个微信小程序账户）。登录后根据提示生成微信小程序 AppID。（后续发布将会使用） 第二步：编译输出小程序文件 使用 HbuilderX「发行 -> 小程序-微信」菜单，在弹出的对话框中填入上一步的 AppID。（注意：不要选择自动上传到微信平台选项。）如下图所示： 点击「发行」按钮后会开始编译小程序输出文件并自动打开微信开发者工具导入小程序文件。接着使用微信开发者工具的「上传代码」按钮，将小程序文件上传到微信公众平台。如下图所示： 最后就是一个微信平台的代码审核、发布上线的流程即可，这里不再赘述。根据后台提示操作即可。 如下二维码是发布成功的盘古 APP Starter 模板工程的微信小程序示例。 微信扫码体验 发布 Android APP 应用 将工程打包发布为原生 Android APP 应用。对于.vue 页面将使用 webview 渲染机制；如果使用 .nvue 页面(native vue 的缩写)，则使用原生渲染。 使用 HbuilderX 「运行 -> 原生APP-云打包」菜单，打开打包配置窗口。如下图所示为最便捷的配置窗口。（高级用法：自定义证书、自定义基座等可参考uni-app 和 HbuilderX 相关文档） 点击「打包」按钮，IDE 将完成云端打包。打包结束后，.apk 安装包将输出到：unpackage/release/apk 目录。 如下是发布成功的盘古 APP Starter 模板工程的 Android 原生 APP 示例。 手机浏览器扫码下载安装（微信扫码无效） 提示 更多类型的应用发布方式请参阅 uni-app 和 HbuilderX 相关文档。 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 APP Starter 最后由 xiongchun 于 2023年3月7日 更新 上一页 快速入门指南 下一页 日常开发常见问答 发布 H5 Web 应用 发布微信小程序应用 发布 Android APP 应用 下一步","s":"部署运维参考","u":"/pangu-framework/app/web-h5","h":"","p":37},{"i":40,"t":"快速开始 搭建后端开发环境 本页总览 搭建后端开发环境 工程结构说明 盘古 Admin 后端仓库代码路径：pangu-framework/pangu-admin/pangu-admin-backend。 pangu-admin-web：统一网关 pangu-admin-system：权限模块 pangu-admin-system-api：权限模块服务接口 pangu-admin-system-app：权限模块服务实现 开发环境搭建 将后端工程引入 IDEA。工程代码：pangu-framework/pangu-admin/pangu-admin-backend。 执行目录 ~/pangu-admin-system/pangu-admin-system-app/src/main/resources/sql 中的数据脚本。 配置 分别在 nacos 配置中心创建模块pangu-admin-web和pangu-admin-system-app的配置信息。如下图所示。 关于 naocs 配置中心的相关用法请查阅开发指南章节的 配置中心。 pangu-admin-web pangu-admin-system-app Data Id 为 ppangu-admin-web 的配置数据 spring.jackson.time-zone=GMT+8 pangu.web.cross-origin=true dubbo.protocol.name=dubbo dubbo.protocol.port=-1 dubbo.consumer.timeout=5000 dubbo.registry.address=nacos://${nacos.server-addr}?namespace=${nacos.namespace} dubbo.consumer.check=false app.jwt.secret-key=alliswell666 app.jwt.ttl-min=480 app.jwt.persistent=true app.log.queue.producer.disabled=false #app.log.queue.producer.excludes.method-start-with=list,find,select,query,read app.log.queue.consumer.pool.threads=10 logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO logging.level.com.alibaba.nacos.client.config.impl.ClientWorker=WARN logging.level.com.yomahub.tlog.dubbo.filter=ERROR Data Id 为 pangu-admin-system-app 的配置数据 dubbo.protocol.name=dubbo dubbo.protocol.port=-1 dubbo.consumer.timeout=5000 dubbo.registry.address=nacos://${nacos.server-addr}?namespace=${nacos.namespace} dubbo.consumer.check=false dubbo.provider.filter=-exception spring.datasource.type=com.zaxxer.hikari.HikariDataSource spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver spring.datasource.url=jdbc:mysql://localhost:3306/pangu-admin?useUnicode=true&characterEncoding=utf-8&autoReconnect=true&failOverReadOnly=false&allowMultiQueries=true&useSSL=false&rewriteBatchedStatements=true spring.datasource.username=root spring.datasource.password=root123456 mybatis-plus.mapperLocations=classpath*:/mapper/**/*.xml mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.slf4j.Slf4jImpl mybatis-plus.global-config.db-config.logic-delete-field=deleted mybatis-plus.global-config.db-config.logic-not-delete-value=0 mybatis-plus.global-config.db-config.logic-delete-value=id pangu.jdbc.db-type=mysql logging.file.name=logs/pangu.log logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO logging.level.com.pulanit.pangu.admin.system.dao=DEBUG 启动 启动参数说明 -Dnacos.server-addr: nacos 服务器地址。 -Dnacos.namespace: nacos 里的命名空间 ID 。 启动权限服务模块 启动参数 -Dnacos.server-addr=100.100.100.XXX:8048 -Dnacos.namespace=pangu-dev 启动成功后在 nacos 服务列表中可看到相关服务提供者信息。如下图所示。 启动网关模块 启动参数 -Dnacos.server-addr=100.100.100.XXX:8048 -Dnacos.namespace=pangu-dev 启动成功后在 nacos 服务列表中可看到相关服务消费者信息。如下图所示。 提示 本文仅讨论盘古 Admin 后端开发环境搭建过程，至于后端服务开发方法和细节请参阅 服务开发文档。 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 Admin 最后由 xiongchun 于 2023年3月2日 更新 上一页 简介 下一页 搭建前端开发环境 工程结构说明 开发环境搭建 配置 启动 下一步","s":"搭建后端开发环境","u":"/pangu-framework/admin/how-to-create-backend-environment","h":"","p":39},{"i":42,"t":"快速入门指南 本页总览 快速入门指南 配置底部导航菜单 以范例 APP 底部的「组件」导航菜单为例，说明如何配置首页底部的导航菜单。 配置菜单节点信息 打开 pages.json 配置文件，找到 tabBar 节点。如下所示： \"tabBar\": { \"color\": \"#303133\", \"selectedColor\": \"#529b2e\", \"borderStyle\": \"black\", \"backgroundColor\": \"#f4f4f5\", \"list\": [{ \"pagePath\": \"pages/example/components\", \"iconPath\": \"static/common/img/nav/component.png\", \"selectedIconPath\": \"static/common/img/nav/component-selected.png\", \"text\": \"组件\" } // ...其它菜单配置... ] } 配置菜单路由信息 配置路径 pages/example/components 的路由信息。在 pages.json 配置文件中，找到 pages 节点。如下所示： \"pages\": [ //pages数组中第一项表示应用启动页 { \"path\": \"pages/example/components\", \"style\": { \"navigationBarTitleText\": \"组件\" } } // ...其它路由配置... ] 该路由配置对应视图文件：pages/example/components.nvue。 新增业务模块页面路由 参考 pages.json 相关配置文件即可。 提示 更多关于 pages.json 的配置，请查阅 uni-app 相关文档。 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 APP Starter 最后由 xiongchun 于 2023年3月11日 更新 上一页 搭建开发环境 下一页 部署运维参考 配置底部导航菜单 配置菜单节点信息 配置菜单路由信息 新增业务模块页面路由 下一步","s":"快速入门指南","u":"/pangu-framework/app/quick-start","h":"","p":41},{"i":44,"t":"盘古开发框架集成了数据库中间件 ShardingSphere 来提供数据治理相关功能。如：数据分片、读写分离、数据加密等。","s":"数据治理之数据分片","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"","p":43},{"i":46,"t":"随着业务规模不断的扩大，将数据集中存储到单一节点的解决方案，在性能、可用性和运维成本等方面已经难于满足高并发和海量数据系统的场景。从性能方面来说，高并发访问请求使得集中式数据库成为系统的最大瓶颈；从可用性的方面来讲，单一数据节点或简单主从架构，已经越来越难以满足互联网 To C 业务对高可用的迫切诉求，数据库的可用性俨然已成为整个系统的关键；从运维成本和系统风险方面考虑，当一个数据库实例中的数据达到临界阈值以上，数据备份和恢复的时间成本和风险都将随着数据量的大小而愈发不可控。数据分片将存放在单一库中的数据分散至多个库或表中以达到提升性能、提高可用性和降低运维成本的效果，是应对高并发和海量数据系统的有效手段。","s":"数据分片背景","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#数据分片背景","p":43},{"i":49,"t":"数据分片可分为垂直分片和水平分片。 垂直分片 垂直分片是按照业务域将数据库纵向切分为不同的数据库。如电商系统的用户库、订单库、会员库、仓储库、账户库等。垂直拆分可以缩库但无法缩表，即可以减小单节点下数据库数据量，但每个数据表里面的数据量是没有变化的；垂直拆分可以一定程度降低单节点数据库的负载，但是每个数据表的并发压力依旧没变。 水平分片 水平分片又称为横向拆分。相对于垂直分片，水平分片不再根据业务逻辑分类，而是通过某个字段（或某几个字段），根据某种规则将数据分散至多个库或多个表中。水平分片从理论上突破了单机数据量处理的瓶颈，并且扩展相对自由，是数据分片的标准解决方案。水平分片从具体实现上又可以分为3种：只分表、只分库、分库分表。如下图所示。","s":"数据分片类型","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#数据分片类型","p":43},{"i":51,"t":"逻辑表：相同结构的水平拆分数据库（表）的逻辑名称，是 SQL 中数据表的逻辑标识。如：t_order 表被拆分为 t_order0 和 t_order1，则 t_order 是逻辑表，并不存放数据，仅用于 SQL 中的逻辑标识。 真实表：在水平拆分的数据库中真实存在的物理表。如：t_order 表被拆分为 t_order0 和 t_order1，则 t_order0 和 t_order1 是真实表，用于存储数据。 绑定表：指分片规则一致的主表和子表。例如：t_order 表和 t_order_item 表，均按照 order_id 分片，并且使用 order_id 进行关联，则此两张表互为绑定表关系，绑定表的关联查询不会出现笛卡尔积关联或跨库关联，关联查询效率将大大提升。可以在配置中配置绑定表关系。 广播表：指在所有的分片数据源中都存在的表，表结构及其数据均完全一致。适用于数据量不大且需要与海量数据的表进行关联查询的场景。例如：字典表、地址表等。对广播表的DML操作，会自动路由到所有的数据节点。可以在配置中配置广播表。 单表：指不需要参与分片且所有数据源中唯一存在的表。 数据节点：数据分片的最小单元，由数据源名称和真实表组成。 如：ds0.t_order0。 分片键：用于将数据库（表）水平拆分的数据库字段。 分片策略：分片键 + 分片算法。 分布式主键：分片后的表主键不能使用数据库自身的自增列机制，需要额外引入主键生成策略。ShardingSphere 提供了基于 UUID 和 SNOWFLAKE 的分布式主键生成机制，但不建议使用。最灵活的方式还是自己生成分布式ID传给新增的实体对象。盘古框架使用 MyBatis Plus 的主键生成功能。（同样可选 UUID 主键和 SNOWFLAKE 算法主键） 提示：SNOWFLAKE 算法主键能保证递增，但不能保证数字的连续性。如果需要递增且连续的分布式主键，需要自己实现。 强制分片路由：基于 Hint 机制指定了强制分片路由的 SQL 请求会忽略分片逻辑，直接将请求路由至指定的真实数据节点。","s":"相关专业术语","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#相关专业术语","p":43},{"i":53,"t":"虽然数据分片解决了性能、可用性以及单点备份恢复等问题，但分布式的架构在获得了收益的同时，也引入了新的问题。 分片后的数据散乱且关系复杂，应用开发工程师和数据库管理员对数据库的操作变得异常繁重且困难。他们需要明确知道数据从哪写入，从哪读取。 数据分片后势必会带来分布式事务的处理。能够优雅的处理好分布式事务，这对开发而言也是一个全新的挑战。（分布式事务处理跨参考：盘古框架分布式事务最佳实践） 数据库请求路由至多数据节点的时候，部分SQL支持不完整或性能损耗较大的问题。","s":"数据分片面临的挑战","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#数据分片面临的挑战","p":43},{"i":55,"t":"需综合权衡业务场景、客观估算数据分片性价比，不要盲目分片。数据分片在获得收益的同时，也引入了新的问题。 分片参考临界值：一般来讲 MySQL单表记录控制在 1000 万以内、数据库单实例数据大小控制在 1 TB 以内是比较合理的范围。 分表不分库仅涉及本地事务，垂直分片和水平分片的分库分表均会带来分布式事务。设计过程应考虑不要人为扩大没必要的分布式事务使用边界。（也可以适当放宽） 分片键的规划尤为重要，需要结合业务特点来精心设计。 对分片表的查询必须包含分片键，且尽可能的保持单表。分片表的关联查询，请结合绑定表和广播表酌情合理使用。 总之，采用什么样的数据架构需要结合性能诉求、可用性、运维成本、开发成本、项目背景和业务场景等方面来做权衡选择。上述仅为一些孤立的参考原则。","s":"数据分片参考原则","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#数据分片参考原则","p":43},{"i":57,"t":"实现数据分片大致有 2 种方案。如下图所示。 数据库代理模式（服务端代理） 在数据库和应用系统之间独立部署一个数据库代理中间件，所有的 SQL 请求先发送到这个代理，由它完成 SQL 解析、SQL改写、SQL 路由、结果集聚合等必要操作。在这种模式下，路由规则、分配逻辑都配置到代理上，数据分片的逻辑对开发人员是透明的。 数据源代理模式（客户端代理） 通过在应用端引入组件包，代理应用普通数据源。在这种模式下，路由规则、分片逻辑配置到应用侧，所有 SQL 请求都通过代理数据源完成 SQL 解析、SQL改写、SQL 路由、结果集聚合等必要操作。 实现方式 可选组件 优点 缺点 数据库代理模式 ShardingSphere-Proxy MyCat 多语言支持 独立部署（升级简单） 对开发完全透明 独立部署（增加不稳定因素） 运维成本高 性能损耗高 数据源代理模式 💋 ShardingSphere-JDBC 集成简单、轻松驾驭 性能较好 嵌入 JAR（升级麻烦） 日常数据维护麻烦 警告 盘古开发框架使用 ShardingSphere-JDBC 组件，通过数据源代理的方式实现数据分片功能。","s":"数据分片实现原理","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#数据分片实现原理","p":43},{"i":59,"t":"盘古 Parent 基础模块 JDBC 模块 数据治理模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-jdbc-spring-boot-starter com.gitee.pulanos.pangu pangu-data-governance-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#安装相关盘古模块","p":43},{"i":62,"t":"数据库表结构和分片算法逻辑如下图所示。 请根据如下逻辑表结构创建真实表 t_order0 和 t_order1。 create table t_order ( order_id bigint not null primary key, user_id int not null, status varchar(50) null ) comment '逻辑表:订单表';","s":"初始化数据库环境","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#初始化数据库环境","p":43},{"i":64,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 spring.application.name=pangu-examples-shardingsphere-sharding mybatis-plus.mapperLocations=classpath*:/mapper/**/*.xml mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl spring.shardingsphere.mode.type=Memory # print shardingsphere Actual SQL log spring.shardingsphere.props.sql-show=true spring.shardingsphere.datasource.names=ds-0 spring.shardingsphere.datasource.ds-0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-0.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-0.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples spring.shardingsphere.datasource.ds-0.username=root spring.shardingsphere.datasource.ds-0.password=123456 # sharding table `t_order` configuration spring.shardingsphere.rules.sharding.tables.t_order.actual-data-nodes=ds-0.t_order$->{0..1} spring.shardingsphere.rules.sharding.tables.t_order.table-strategy.standard.sharding-column=order_id spring.shardingsphere.rules.sharding.tables.t_order.table-strategy.standard.sharding-algorithm-name=sa-0 # sharding-algorithms configuration spring.shardingsphere.rules.sharding.sharding-algorithms.sa-0.type=INLINE spring.shardingsphere.rules.sharding.sharding-algorithms.sa-0.props.algorithm-expression=t_order$->{order_id % 2} 关键配置项说明 配置项 配置说明 *.t_order.actual-data-nodes 表 t_order 对应的数据节点（真实表） *.t_order.table-strategy.standard.sharding-column 表 t_order 的分片键 *.t_order.table-strategy.standard.sharding-algorithm-name 表 t_order 的分片算法名称（自定义标识符） *.sharding-algorithms.sa-0.type 分片算法 sa-0 的类型（INLINE：内置算法） *.sharding-algorithms.sa-0.props.algorithm-expression 分片算法 sa-0 的分片表达式","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#本地配置","p":43},{"i":66,"t":"测试写入数据分片 写入时将分片键 order_id 对 2 求模，并根据求模结果将订单数据分片到 2 个表中存储。 @Test public void createOrder() { TOrderEntity entity1 = new TOrderEntity().setUserId(1).setStatus(\"0\"); tOrderMapper.insert(entity1); TOrderEntity entity2 = new TOrderEntity().setUserId(1).setStatus(\"0\"); tOrderMapper.insert(entity2); } TOrderEntity 的 orderId 主键请通过如下注解生成。当然也可以自定义 ID 算法赋值。 @TableId(value = \"order_id\", type = IdType.ASSIGN_ID) private Long orderId; 测试根据分片键路由查询 根据分片算法，将SQL查询请求路由到对应的真实表查询。 @Test public void routingQuery() { TOrderEntity entity = tOrderMapper.selectById(150681599250L); log.info(\"结果集：{}\" , entity); TOrderEntity entity2 = tOrderMapper.selectById(150683023105L); log.info(\"结果集：{}\" , entity2); } 测试结果集归并、绑定表关联查询、强制路由等特性 不再赘述。请直接获取 本范例源码 查看。","s":"测试用例","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#测试用例","p":43},{"i":69,"t":"数据库表结构和分片算法逻辑如下图所示。 数据库逻辑表结构 同上，请自行创建相关真实库表结构。","s":"初始化数据库环境","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#初始化数据库环境-1","p":43},{"i":71,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 spring.application.name=pangu-examples-shardingsphere-sharding mybatis-plus.mapperLocations=classpath*:/mapper/**/*.xml mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl spring.shardingsphere.mode.type=Memory # print shardingsphere Actual SQL log spring.shardingsphere.props.sql-show=true spring.shardingsphere.datasource.names=ds-0,ds-1 spring.shardingsphere.datasource.ds-0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-0.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-0.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples spring.shardingsphere.datasource.ds-0.username=root spring.shardingsphere.datasource.ds-0.password=123456 spring.shardingsphere.datasource.ds-1.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-1.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-1.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples-1 spring.shardingsphere.datasource.ds-1.username=root spring.shardingsphere.datasource.ds-1.password=123456 # sharding table `t_order` configuration spring.shardingsphere.rules.sharding.tables.t_order.actual-data-nodes=ds-$->{0..1}.t_order spring.shardingsphere.rules.sharding.default-database-strategy.standard.sharding-column=user_id spring.shardingsphere.rules.sharding.default-database-strategy.standard.sharding-algorithm-name=sa-0 # sharding-algorithms configuration spring.shardingsphere.rules.sharding.sharding-algorithms.sa-0.type=INLINE spring.shardingsphere.rules.sharding.sharding-algorithms.sa-0.props.algorithm-expression=ds-$->{user_id % 2} 关键配置项说明 配置项 配置说明 *.t_order.actual-data-nodes 表 t_order 对应的数据节点（真实表） *.default-database-strategy.standard.sharding-column 表 t_order 的分片键 *.default-database-strategy.standard.sharding-algorithm-name 表 t_order 的分片算法名称（自定义标识符） *.sharding-algorithms.sa-0.type 分片算法 sa-0 的类型（INLINE：内置算法） *.sharding-algorithms.sa-0.props.algorithm-expression 分片算法 sa-0 的分片表达式","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#本地配置-1","p":43},{"i":73,"t":"测试写入数据分片 写入时将分片键：user_id 对 2 求模，根据求模结果将不同用户的订单数据分到2个库中存储。 @Test public void createOrder() { TOrderEntity entity1 = new TOrderEntity().setUserId(1).setStatus(\"0\"); tOrderMapper.insert(entity1); TOrderEntity entity2 = new TOrderEntity().setUserId(2).setStatus(\"0\"); tOrderMapper.insert(entity2); } 测试根据分片键路由查询 根据分片算法，将SQL查询请求路由到对应的真实表查询。 @Test public void routingQuery() { List list1 = tOrderMapper.selectList(Wrappers.lambdaQuery().eq(TOrderEntity::getUserId, 1)); log.info(\"结果集：{}\" , list1); List list2 = tOrderMapper.selectList(Wrappers.lambdaQuery().eq(TOrderEntity::getUserId, 2)); log.info(\"结果集：{}\" , list2); } 测试结果集归并、绑定表关联查询、强制路由等特性 不再赘述。请直接获取 本范例源码 查看。","s":"测试用例","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#测试用例-1","p":43},{"i":76,"t":"数据库表结构和分片算法逻辑如下图所示。 数据库逻辑表结构 同上，请自行创建相关真实库表结构。","s":"初始化数据库环境","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#初始化数据库环境-2","p":43},{"i":78,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 spring.application.name=pangu-examples-shardingsphere-sharding mybatis-plus.mapperLocations=classpath*:/mapper/**/*.xml mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl spring.shardingsphere.mode.type=Memory # print shardingsphere Actual SQL log spring.shardingsphere.props.sql-show=true spring.shardingsphere.datasource.names=ds-0,ds-1 spring.shardingsphere.datasource.ds-0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-0.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-0.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples spring.shardingsphere.datasource.ds-0.username=root spring.shardingsphere.datasource.ds-0.password=123456 spring.shardingsphere.datasource.ds-1.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-1.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-1.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples-1 spring.shardingsphere.datasource.ds-1.username=root spring.shardingsphere.datasource.ds-1.password=123456 # sharding table `t_order` configuration spring.shardingsphere.rules.sharding.default-database-strategy.standard.sharding-column=user_id spring.shardingsphere.rules.sharding.default-database-strategy.standard.sharding-algorithm-name=sa-0 spring.shardingsphere.rules.sharding.tables.t_order.actual-data-nodes=ds-$->{0..1}.t_order$->{0..1} spring.shardingsphere.rules.sharding.tables.t_order.table-strategy.standard.sharding-column=order_id spring.shardingsphere.rules.sharding.tables.t_order.table-strategy.standard.sharding-algorithm-name=sa-1 # sharding databases algorithms configuration spring.shardingsphere.rules.sharding.sharding-algorithms.sa-0.type=INLINE spring.shardingsphere.rules.sharding.sharding-algorithms.sa-0.props.algorithm-expression=ds-$->{user_id % 2} # sharding tables algorithms configuration spring.shardingsphere.rules.sharding.sharding-algorithms.sa-1.type=INLINE spring.shardingsphere.rules.sharding.sharding-algorithms.sa-1.props.algorithm-expression=t_order$->{order_id % 2} 关键配置项说明 配置项 配置说明 *.t_order.actual-data-nodes 表 t_order 对应的数据节点（真实表） *.default-database-strategy.standard.sharding-column 表 t_order 的分库分片键 *.default-database-strategy.standard.sharding-algorithm-name 表 t_order 的分库分片算法名称 *.t_order.table-strategy.standard.sharding-column 表 t_order 的库内分表分片键 *.t_order.table-strategy.standard.sharding-algorithm-name 表 t_order 的库内分表算法名称 *.sharding-algorithms.sa-0.type 分库算法的类型 *.sharding-algorithms.sa-0.props.algorithm-expression 分库表达式 *.sharding-algorithms.sa-1.type 库内分表算法的类型 *.sharding-algorithms.sa-1.props.algorithm-expression 库内分表表达式","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#本地配置-2","p":43},{"i":80,"t":"测试写入数据分片 写入时将分片键 user_id 对 2 求模，根据求模结果将订单数据分片到 2 个库中，再将分片键 order_id 对 2 求模，并根据求模结果将订单数据分片到库中不同的表来存储。（注意：本例有两个分片键，第一个用来分库；第二个用来库内分表。） @Test public void createOrder() { TOrderEntity entity1 = new TOrderEntity().setUserId(1).setStatus(\"0\"); tOrderMapper.insert(entity1); TOrderEntity entity2 = new TOrderEntity().setUserId(2).setStatus(\"0\"); tOrderMapper.insert(entity2); } TOrderEntity 的 orderId 主键请通过如下注解生成。当然也可以自定义 ID 算法赋值。 @TableId(value = \"order_id\", type = IdType.ASSIGN_ID) private Long orderId; 测试根据分片键路由查询 根据分片算法，将SQL查询请求路由到对应的真实表查询。 @Test public void routingQuery() { List list1 = tOrderMapper.selectList(Wrappers.lambdaQuery().eq(TOrderEntity::getUserId, 1)); log.info(\"结果集：{}\" , list1); List list2 = tOrderMapper.selectList(Wrappers.lambdaQuery().eq(TOrderEntity::getUserId, 2)); log.info(\"结果集：{}\" , list2); } 测试结果集归并、绑定表关联查询、强制路由等特性 不再赘述。请直接获取 本范例源码 查看。 警报 对分片表的查询操作，查询条件务必要包含分片键，否则会遍历所有数据节点。尽量维持单表查询。 如果需要关联查询，请结合绑定表、广播表酌情合理应用。","s":"测试用例","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#测试用例-2","p":43},{"i":82,"t":"pangu-examples-shardingsphere-sharding：数据治理之数据分片范例","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#本文相关范例源码","p":43},{"i":84,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/data-sharding","h":"#下一步","p":43},{"i":86,"t":"开发指南 新增业务功能模块 本页总览 新增业务功能模块 本文将介绍如何基于盘古 Admin 实现一个自己的业务功能模块。 虚拟业务场景 假设我们要实现的是一个某银行信用卡申请审批后台系统。在此，我们演示如何新增一个【信用卡人工复核】 菜单，列出各种渠道提交到后台的卡申请信息供审核人员审核确认。 第一步 新建模块工程 以 pangu-admin-system 为原型模版，新建业务模块工程。 ┌── icbc-card-audit # ICBC 某行信用卡审批相关业务 │ ├── icbc-card-audit-api # 业务接口 │ ├── icbc-card-audit-app # 业务实现 第二步 新建配置 在 nacos 配置中心创建 Data Id 为 icbc-card-audit-app 的配置数据。注意：所属命名空间需要和 pangu-admin-* 的配置数据所属命名空间保持一致。 第三步 网关集成 在网关模块 pangu-admin-web 的 pom.xml 中添加对接口模块 icbc-card-audit-api 的依赖。并通过 RestController 调用相关 api 接口。 提示 本文以缺省的微服务开发模式开发后端服务。如果您选择单体开发，则可参考 服务开发 相关文档。 第四步 新建前端模块 ┌── src # 源代码 │ ├── api # 在这里定义相关模块 API 请求 │ ├── views # 在这里新建相关模块前端页面 │ ├── ... # etc 第五步 新建业务菜单 登录权限系统，通过【资源管理】菜单，新增业务菜单【信用卡人工复核】。并将其授权给相关角色和人员即可。 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 Admin 最后由 xiongchun 于 2023年3月2日 更新 上一页 搭建前端开发环境 下一页 部署运维参考 虚拟业务场景 第一步 新建模块工程 第二步 新建配置 第三步 网关集成 第四步 新建前端模块 第五步 新建业务菜单 下一步","s":"新增业务功能模块","u":"/pangu-framework/admin/new-module","h":"","p":85},{"i":88,"t":"日常开发常见问答 日常开发常见问答 本文将重点关注 APP 前端开发问题的收集汇总。后端开发相关问题请查阅 服务开发常见问答 1. 为什么关于 APP 开发的文档比较少？ 盘古 APP Starter 集成了 uni-app 和 uView UI，绑定使用 HbuilderX 作为开发 IDE。因此，关于组件使用规范细节、IDE 开发流程操作等问题可以参考如下文档即可。 uni-app 文档 uView UI 文档 HbuilderX 文档 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： FAQ 最后由 xiongchun 于 2023年3月7日 更新 上一页 部署运维参考","s":"日常开发常见问答","u":"/pangu-framework/app/faq","h":"","p":87},{"i":90,"t":"简介 本页总览 简介 盘古 Admin 是一套基于 SCUI(Vue3、Element-Plus) + 盘古服务开发框架的中后台业务系统前后端统一解决方案。并预置了轻量成熟的 权限系统参考实现，用户可以基于此快速搭建中后台业务系统二次开发脚手架。 前端方案介绍 盘古 Admin 前端基于 SUCI 开发。SCUI 是一个中后台前端解决方案，基于 VUE3 和 ElementPlus 实现。 使用最新的前端技术栈，提供各类实用的组件方便在业务开发时的调用，并且持续性的提供丰富的业务模板帮助你快速搭建企业级中后台前端任务。更多 SCUI 信息，请直接参考其 项目主页和相关文档。 后端方案介绍 盘古 Admin 后端基于盘古服务开发框架。详情请查看 相关文档。 Admin 权限系统截屏 如下为权限系统参考实现的部分截屏。完整体验请访问：在线演示系统。 1 2 3 4 5 6 7 8 9 10 11 12 13 14 下一步 继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。 标签： 盘古 Admin 最后由 xiongchun 于 2023年3月9日 更新 下一页 搭建后端开发环境 前端方案介绍 后端方案介绍 Admin 权限系统截屏 下一步","s":"简介","u":"/pangu-framework/admin/intro","h":"","p":89},{"i":92,"t":"盘古开发框架基于 Lock4j 提供分布式锁。支持注解声明式和 API 编程式对业务代码在分布式环境下加并发锁。","s":"分布式锁","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"","p":91},{"i":94,"t":"盘古 Parent 基础模块 缓存模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-cache-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#安装相关盘古模块","p":91},{"i":96,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 application.properties application-dev.properties spring.profiles.active=${spring.profiles.active:dev} spring.application.name=pangu-examples-lock-redis-based # spring-redis spring.redis.host=localhost spring.redis.database=1 spring.redis.port=6379 spring.redis.password= logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#本地配置","p":91},{"i":98,"t":"直接在需要缓存的方法上加上 @Lock4j 注解。","s":"基于注解声明","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#基于注解声明","p":91},{"i":100,"t":"分布式锁注解。 名称 默认值 说明 name 空字符串 用于多个方法锁同一把锁 可以理解为锁资源名称，为空则会使用：包名 + 类名 + 方法名。（一般为空即可） keys 空字符串 支持 SPEL 表达式，锁的 key = name + keys acquireTimeout 3000 获取锁超时时间 单位：毫秒。可以理解为排队时常，超过这个时常就退出排队，抛出获取锁超时异常。 expire 30000 过期时间 单位：毫秒。主要是防止死锁，建议估计好你锁方法运行时常，正常没有复杂业务的增删改查最多几秒，留有一定冗余，10 秒足够。默认 30 秒是为了兼容绝大部分场景。","s":"@Lock4j","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#lock4j","p":91},{"i":102,"t":"/** * 默认获取锁超时 3 秒，30 秒锁过期 */ @Lock4j public void doBiz() { log.info(\"执行doBiz...\"); ThreadUtil.sleep(25*1000); } /** * 配置获取锁超时时间和锁过期时间 支持 SPEL * @param accountId */ @Lock4j(keys = {\"#accountId\"}, expire = 20000, acquireTimeout = 10000) public void doBiz2(Long accountId) { log.info(\"执行doBiz2...\"); ThreadUtil.sleep(20*1000); }","s":"代码片段","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#代码片段","p":91},{"i":104,"t":"注入 LockTemplate 对象即可使用。如下代码所示。 @Component public class ApiLockService { @Autowired private LockTemplate lockTemplate; public void apiLock(String userId) { //... 各种不需要上锁的操作 String lockKey = \"lock4j:ApiLockService:apiLock:\" + userId; final LockInfo lockInfo = lockTemplate.lock(lockKey); //申请锁失败 if (null == lockInfo) { throw new LockException(\"业务处理中，请稍后再试...\"); } //申请锁成功 try { ThreadUtil.sleep(10000L); log.info(\"执行 apiLock, 当前线程{}\", Thread.currentThread().getName()); } finally { lockTemplate.releaseLock(lockInfo); } } }","s":"基于 API 编程","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#基于-api-编程","p":91},{"i":106,"t":"@SpringBootApplication public class LockPanguApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(LockPanguApplication.class).run(args); } }","s":"启动入口","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#启动入口","p":91},{"i":108,"t":"pangu-examples-lock-redis-based：分布式锁范例","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#本文相关范例源码","p":91},{"i":110,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/distributed-lock","h":"#下一步","p":91},{"i":112,"t":"盘古开发框架基于 Laying Cache，提供支持分布式环境的多级缓存功能。使用 Caffeine 作为一级本地缓存，Redis 作为二级集中式缓存。支持缓存信息监控统计、支持缓存过期时间在注解上直接配置、支持缓存的自动刷新、缓存 Key 支持 SpEL 表达式、支持无感禁用一级缓存或二级缓存。通过缓存空值来解决缓存穿透问题、通过判断即将过期时发起异步加载缓存的方式来解决缓存击穿和雪崩问题。","s":"分布式多级缓存","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"","p":111},{"i":114,"t":"盘古 Parent 基础模块 缓存模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-cache-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#安装相关盘古模块","p":111},{"i":116,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 application.properties application-dev.properties spring.profiles.active=${spring.profiles.active:dev} spring.application.name=pangu-examples-cache-layering # layering-cache 多级缓存 layering-cache.stats=false # redis单机 layering-cache.redis.database=1 layering-cache.redis.host=localhost layering-cache.redis.port=6379 layering-cache.redis.password= # redis集群 #layering-cache.redis.password= #layering-cache.redis.cluster=127.0.0.1:6379,127.0.0.1:6378 layering-cache.redis.serializer=com.github.xiaolyuh.redis.serializer.JacksonRedisSerializer logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#本地配置","p":111},{"i":118,"t":"配置项 配置说明 layering-cache.stats 缓存监控统计开关，缺省true layering-cache.redis.serializer Redis序列化方式","s":"关键配置项说明","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#关键配置项说明","p":111},{"i":120,"t":"直接在需要缓存的方法上加上 @Cacheable、@CacheEvict、@CachePut 注解。（ @FirstCache、@SecondaryCache 为注解配置项，不能单独使用）","s":"基于注解声明","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#基于注解声明","p":111},{"i":122,"t":"一级缓存配置项。 名称 默认值 说明 initialCapacity 10 缓存初始 Size maximumSize 5000 缓存最大 Size expireTime 9 缓存有效时间 timeUnit TimeUnit.MINUTES 时间单位，默认分钟 expireMode ExpireMode.WRITE 缓存失效模式，ExpireMode.WRITE：最后一次写入后到期失效，ExpireMode.ACCESS：最后一次访问后到期失效","s":"@FirstCache","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#firstcache","p":111},{"i":124,"t":"二级缓存配置项。 名称 默认值 说明 expireTime 5 缓存有效时间 preloadTime 1 缓存主动在失效前强制刷新缓存的时间，建议是 expireTime * 0.2 timeUnit TimeUnit.HOURS 时间单位，默认小时 forceRefresh false 是否强制刷新（直接执行被缓存方法） magnification 1 非空值和 null 值之间的时间倍率，默认是 1。如 expireTime=60 秒，magnification=10，那么当缓存空值时，空值的缓存过期时间是 60/10=6 秒。","s":"@SecondaryCache","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#secondarycache","p":111},{"i":126,"t":"表示用的方法的结果是可以被缓存的，当该方法被调用时先检查缓存是否命中，如果没有命中再调用被缓存的方法，并将其返回值放到缓存中。 名称 默认值 说明 cacheNames 空字符串数组 缓存名称 key 空字符串 缓存 key，支持 SpEL 表达式 depict 空字符串 缓存描述（在缓存统计页面会用到） enableFirstCache true 是否启用一级缓存 firstCache 一级缓存配置 secondaryCache 二级缓存配置 @Cacheable 范例代码 @Cacheable(cacheNames = \"user\", key = \"#userId\", firstCache = @FirstCache(expireTime = 5), secondaryCache = @SecondaryCache(expireTime = 10)) public UserVO getUser(Long userId) { log.info(\"执行AnnotationBasedDemoService.getUser()\"); // 从DB或其它资源渠道获取数据 UserVO userVO = new UserVO(); userVO.setId(userId); userVO.setName(\"钱学森\"); return userVO; }","s":"@Cacheable","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#cacheable","p":111},{"i":128,"t":"将数据放到缓存中，新增缓存。 名称 默认值 说明 cacheNames 空字符串数组 缓存名称 key 空字符串 缓存 key，支持 SpEL表达式 depict 空字符串 缓存描述（在缓存统计页面会用到） enableFirstCache true 是否启用一级缓存 firstCache 一级缓存配置 secondaryCache 二级缓存配置 @CachePut 范例代码 @CachePut(cacheNames = \"user\", key = \"#userVO.id\", firstCache = @FirstCache(expireTime = 10), secondaryCache = @SecondaryCache(expireTime = 30)) public UserVO saveUser(UserVO userVO) { log.info(\"执行AnnotationBasedDemoService.saveUser()\"); return userVO; }","s":"@CachePut","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#cacheput","p":111},{"i":130,"t":"删除缓存。 名称 默认值 说明 value 空字符串数组 缓存名称，cacheNames 的别名 cacheNames 空字符串数组 缓存名称 key 空字符串 缓存 key，支持 SpEL 表达式 allEntries false 是否删除缓存中所有数据，默认情况下是只删除关联 key 的缓存数据，当该参数设置成 true 时 key 参数将无效 @CacheEvict 范例代码 @CacheEvict(cacheNames = \"user\", key = \"#userId\") public void delUser(Long userId) { log.info(\"执行AnnotationBasedDemoService.delUser()\"); } @CacheEvict(cacheNames = \"user\", allEntries = true) public void delAllUsers() { log.info(\"执行AnnotationBasedDemoService.delAllUsers()\"); }","s":"@CacheEvict","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#cacheevict","p":111},{"i":132,"t":"可以直接使用 Laying Cahce 提供的 API 进行硬编码操作两级缓存，但不建议使用。这里就不做详细讲解了，可以在参考范例的 ApiBasedDemoService 类中找到相关的代码。","s":"基于 API 编程","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#基于-api-编程","p":111},{"i":134,"t":"需要 @EnableLayeringCache 注解的加持。如下代码所示。 @EnableLayeringCache @SpringBootApplication public class LayeringCachePanguApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(LayeringCachePanguApplication.class).run(args); } } 快速 QA：可以禁用一级缓存，只使用二级缓存吗？ 必须可以。设置 enableFirstCache = false 即可。 快速 QA：可以禁用二级缓存，只使用一级缓存吗？ 可以。设置二级缓存 expireTime 为 0 即可。 快速 QA：我可以用 Spring Cache 的 RedisTemplate API 吗？ 可以。Laying Cache 和 Spring Cache 相互隔离的，你只要在配置文件加入 Spring Cache 的配置，就可以注入 RedisTemplate 直接使用了。可以单独使用，也可以和 Laying Cache 混合使用。具体用法可以参考范例：pangu-examples-cache-single。","s":"启动入口","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#启动入口","p":111},{"i":136,"t":"pangu-examples-cache-layering：两级缓存（本地缓存 + Redis 集中缓存）范例 pangu-examples-cache-single：Spring Cache 一级缓存 API（ RedisTemplate ）范例","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#本文相关范例源码","p":111},{"i":138,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/layering-cache","h":"#下一步","p":111},{"i":140,"t":"盘古开发框架数据持久化 API 依赖 MyBatis Plus 提供。在 MyBatis 的基础上提供了强大的内置通用 Mapper CRUD 操作、支持 Lambda 表达式、内置屏蔽不通数据库方言差异的分页插件、自动填充字段值、多种主键自动生成策略、逻辑删除、乐观锁插件等。","s":"数据持久化","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"","p":139},{"i":142,"t":"盘古 Parent 基础模块 JDBC 模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-framework-jdbc-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#安装相关盘古模块","p":139},{"i":144,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的Nacos配置中心模式，请参阅:配置中心章节。 application.properties application-dev.properties spring.profiles.active=${spring.profiles.active:dev} spring.application.name=pangu-examples-crud spring.datasource.type=com.zaxxer.hikari.HikariDataSource spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver spring.datasource.url=jdbc:mysql://localhost:3306/pangu-examples?useUnicode=true&characterEncoding=utf-8&autoReconnect=true&failOverReadOnly=false&allowMultiQueries=true&useSSL=false&rewriteBatchedStatements=true spring.datasource.username=root spring.datasource.password=root123456 mybatis-plus.mapperLocations=classpath*:/mapper/**/*.xml mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.slf4j.Slf4jImpl # 分页SQL方言数据库类型标识（缺省：自动识别） pangu.jdbc.db-type=mysql logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO logging.level.com.gitee.pulanos.pangu.showcases.crud.dao=debug","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#本地配置","p":139},{"i":146,"t":"基于实践经验，我们建议使用盘古代码生成器，而不是使用 Mybatis Plus 官方生成器。关于生成代码相关内容，请参阅 《代码生成器插件》 章节，这里不再赘述。（针对每一个数据表会生成一个 *Mapper.java 文件和一个 *Entity.java 文件）","s":"生成持久化所需的模版代码","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#生成持久化所需的模版代码","p":139},{"i":148,"t":"这里只是给出几个简单典型的操作代码，更多内容请参阅范例或阅读 Mybatis Plus 官方文档。","s":"基本数据持久化操作","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#基本数据持久化操作","p":139},{"i":150,"t":"UserEntity userEntity = new UserEntity(); userEntity.setName(\"XC\").setAge(18).setUserType(\"1\"); int row = userMapper.insert(userEntity); log.info(\"成功插入{}条数据。{}\", row, userEntity);","s":"新增","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#新增","p":139},{"i":152,"t":"//方式1 userMapper.updateById(new UserEntity().setId(1L).setName(\"XC2\")); //方式2 LambdaUpdateWrapper updateWrapper = Wrappers.lambdaUpdate(); updateWrapper.set(UserEntity::getAge, 100); updateWrapper.eq(UserEntity::getId, 2L); userMapper.update(null, updateWrapper); //方式2简写 userMapper.update(null, Wrappers.lambdaUpdate().set(UserEntity::getName, \"XC2\").eq(UserEntity::getId, 3L)); //方式3 UserEntity userEntity = new UserEntity(); userEntity.setName(\"XC2\"); userMapper.update(userEntity, Wrappers.lambdaUpdate().eq(UserEntity::getId, 4L));","s":"修改","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#修改","p":139},{"i":154,"t":"//方式1 userMapper.deleteById(1000L); //方式2 userMapper.deleteBatchIds(Arrays.asList(1000L, 1001L)); //方式3 userMapper.delete(Wrappers.lambdaQuery().ge(UserEntity::getAge, 150)); userMapper.delete(Wrappers.lambdaQuery(UserEntity.class).ge(UserEntity::getAge, 150)); //方式4 userMapper.deleteById(new UserEntity().setId(2000L));","s":"删除","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#删除","p":139},{"i":156,"t":"//方式1 UserEntity userEntity = userMapper.selectById(1L); //方式2 UserEntity userEntity1 = userMapper.selectOne(Wrappers.lambdaQuery().eq(UserEntity::getId, 1L)); //方式3 (需要注意对传入 ID 集合为非空判断，否则生成的 SQL in() 语法将报错) if(CollUtil.isNotEmpty(userIds)){ userEntities = userMapper.selectBatchIds(userIds); } //方式4 LambdaQueryWrapper lambdaQueryWrapper = Wrappers.lambdaQuery(); //动态组合查询条件的简便写法 lambdaQueryWrapper.between(ObjectUtil.isNotEmpty(age), UserEntity::getAge, 1, age); lambdaQueryWrapper.eq(UserEntity::getUserType, \"1\"); lambdaQueryWrapper.orderByDesc(UserEntity::getId); List userEntities1 = userMapper.selectList(lambdaQueryWrapper); //方式5 LambdaQueryWrapper lambdaQueryWrapper = Wrappers.lambdaQuery(); lambdaQueryWrapper.eq(UserRoleEntity::getUserId, userId).orderByDesc(UserRoleEntity::getRoleId); List userRoleEntities = userRoleMapper.selectList(lambdaQueryWrapper); List roleIds = userRoleEntities.stream().map(UserRoleEntity::getRoleId).collect(Collectors.toList()); //方式6 List> userMaps = userMapper.selectMaps(Wrappers.lambdaQuery().eq(UserEntity::getUserType, \"1\")); //方式7 count 查询 Long cnt = userMapper.selectCount(Wrappers.lambdaQuery().le(UserEntity::getGmtCreate, DateUtil.date())); //方式8 group 查询 QueryWrapper queryWrapper1 = Wrappers.query(); queryWrapper1.select(\"age, count(id) as cnt\").groupBy(\"age\"); List> mapList = userMapper.selectMaps(queryWrapper1); //方式9 or 查询 if (ObjectUtil.isNotEmpty(keyword)){ lambdaQueryWrapper.and(w -> w.like( UserEntity::getName, keyword).or().like(UserEntity::getUserName, keyword)); } //方式10 指定查询字段 LambdaQueryWrapper lambdaQueryWrapper = Wrappers.lambdaQuery(); lambdaQueryWrapper.select(UserEntity::getId, UserEntity::getUserName); lambdaQueryWrapper.eq(...); //方式11 排除查询字段 lambdaQueryWrapper.select(UserEntity.class, info -> !info.getColumn().equals(\"password\") && !info.getColumn().equals(\"password2\"));","s":"简单查询","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#简单查询","p":139},{"i":158,"t":"盘古框架已经做了 Mybatis Plus 分页插件的自动装配工作，直接使用即可。无需额外配置。 基于 Mapper API 的分页查询 public void aPageQuery(){ log.info(\"MyBatisPlus API 分页查询数据...\"); Page page = new Page(1,3); userMapper.selectPage(page, Wrappers.lambdaQuery().ge(UserEntity::getAge, 10).orderByAsc(UserEntity::getId)); Console.log(\"总数：{}\", page.getTotal()); List userEntities = page.getRecords(); userEntities.forEach(System.out::println); } 基于手工映射 SQL 的分页查询 继续阅读本文后面的 《手工编写SQL映射》 章节可以找到。 一个完整的分页查询例子 // 分页入参对象 public class RoleIn extends Page { private String name; } // Controller @GetMapping(\"/list\") public Result> list(RoleIn roleIn) { PageResult pageResult = roleService.list(roleIn); return Result.success(pageResult); } // Service实现 public PageResult list(RoleIn roleIn) { Page page = PagingUtil.createPage(roleIn); LambdaQueryWrapper lambdaQueryWrapper = Wrappers.lambdaQuery(); lambdaQueryWrapper.like(ObjectUtil.isNotEmpty(roleIn.getName()), RoleEntity::getName, roleIn.getName()); roleMapper.selectPage(page, lambdaQueryWrapper); return PagingUtil.getPageResult(page); }","s":"分页查询","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#分页查询","p":139},{"i":160,"t":"提示 一般来说在日常开发中我们是不需要再编写SQL代码的，Mapper API已经能满足我们的需求了。但对于一些特殊需求，我们也可以手工写SQL映射的方式来处理。如下范例演示了手工SQL查询的操作，新增、修改、删除也是同理。 public void bPageQuery(){ log.info(\"自定义SQL映射分页查询数据...\"); Page page = new Page(1,3); Map params = Maps.newHashMap(); params.put(\"userType\", \"1\"); List userEntities = crudMapper.listUsersByPage(page, params); Console.log(\"总数：{}\", page.getTotal()); userEntities.forEach(System.out::println); } public void cPageQuery(){ log.info(\"自定义SQL映射分页查询数据...\"); Page page = new Page>(1,3); String userType = \"1\"; List> userMaps = crudMapper.listUserMapsByPage(page, userType); Console.log(\"总数：{}\", page.getTotal()); userMaps.forEach(System.out::println); } public void bSelect() { log.info(\"自定义SQL映射查询数据...\"); Map params = Maps.newHashMap(); params.put(\"userType\", \"1\"); List userEntities = crudMapper.listUsersByMap(params); userEntities.forEach(System.out::println); } src/main/java/com/gitee/pulanos/pangu/showcases/crud/dao/mapper/CrudMapper.java /** * 提示：自定义sql手工映射大部分时候为复杂的多表联合查询的SQL，单表操作都应该统一使用mybatis plus的API */ @Mapper public interface CrudMapper { List listUsersByPage(Page page, Map param); List> listUserMapsByPage(Page> page, String userType); List listUsersByMap(Map param); } src/main/resources/mapper/CrudMapper.xml ","s":"手工编写SQL映射","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#手工编写sql映射","p":139},{"i":163,"t":"单一数据源事务，直接使用 Spring 事务相关注解即可（ @EnableTransactionManagement、@Transactional ）。对于分布式事务请参阅 《分布式事务》 章节。","s":"事务","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#事务","p":139},{"i":165,"t":"盘古框架借助 Mybatis Plus 对逻辑删除提供了非常友好的支持。通过如下简单配置即可实现从物理删除到逻辑删除在 CRUD 上面的无感体验。 # 指定逻辑删除的标识字段 mybatis-plus.global-config.db-config.logic-delete-field=deleted # 删除前的缺省值 mybatis-plus.global-config.db-config.logic-not-delete-value=0 # 删除后的值 mybatis-plus.global-config.db-config.logic-delete-value=id 配置说明 逻辑删除字段 deleted 建议通过数据库设置默认值 0。 删除后的值建议不用 1，这会带来某字段需要唯一索引时的尴尬问题。因此建议将删除后的值更新为当前记录的 ID 字段值，如上配置所示。这时如果表中某字段需要建立唯一索引，则可以和 deleted 字段一起创建联合唯一索引。 查询和更新操作，框架会自动拼接逻辑删除字段作为条件。（AND deleted = 0）","s":"逻辑删除","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#逻辑删除","p":139},{"i":167,"t":"pangu-examples-crud：数据持久化参考范例","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#本文相关范例源码","p":139},{"i":169,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/data-persistance","h":"#下一步","p":139},{"i":171,"t":"注册中心是分布式微服务开发的标配组件，盘古服务注册中心借助 Nacos 提供动态服务注册和服务发现能力。","s":"注册中心","u":"/pangu-framework/docs/advanced-guide/nacos-regist-center","h":"","p":170},{"i":173,"t":"服务注册中心是以服务为中心架构，实现服务化管理的核心组件。类似于目录服务的作用，主要用来存储服务实例信息，譬如提供者地址、路由信息等。服务注册中心是微服务架构中必选的标配基础设施之一。","s":"注册中心介绍","u":"/pangu-framework/docs/advanced-guide/nacos-regist-center","h":"#注册中心介绍","p":170},{"i":175,"t":"注册中心 存储服务实例和服务负载均衡策略的系统。 服务注册 将服务实例地址和元数据信息写入服务注册中心的过程。 服务发现 在计算机网络上，使用服务名对服务的实例地址和元数据进行探测，并以预先定义的接口提供给客户端进行查询。 健康检查 以指定方式检查服务下挂载实例的健康度，从而确认该实例是否能提供服务。根据检查结果，实例会被判断为健康或不健康。对服务发起解析请求时，不健康的实例不会返回给客户端。","s":"相关名词解释","u":"/pangu-framework/docs/advanced-guide/nacos-regist-center","h":"#相关名词解释","p":170},{"i":178,"t":"请参考本指南的 快速开始->如何开发微服务 章节，那里已经详细完整的讲解了服务注册&服务发现的相关内容。","s":"注册中心实战","u":"/pangu-framework/docs/advanced-guide/nacos-regist-center","h":"#注册中心实战","p":170},{"i":180,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/nacos-regist-center","h":"#下一步","p":170},{"i":182,"t":"盘古开发框架缺省使用的消息队列中间件是 RabbitMQ。消息队列在分布式系统的异步通信、服务解耦、消峰填谷、缓存同步等应用场景下有广泛的使用。","s":"消息队列","u":"/pangu-framework/docs/advanced-guide/mq","h":"","p":181},{"i":184,"t":"盘古 Parent 基础模块 消息队列模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-rabbitmq-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/mq","h":"#安装相关盘古模块","p":181},{"i":186,"t":"建议 建议提前规划队列结构模型，而不是通过客户端 API 动态创建消息交换机和绑定队列。 根据应用场景和业务类型先规划设计出队列结构模型，然后分别将队列相关信息分配给生产侧和消费侧开发人员。本教程使用的队列模型如下图所示。","s":"队列规划","u":"/pangu-framework/docs/advanced-guide/mq","h":"#队列规划","p":181},{"i":188,"t":"上图所示虚拟机、交换主机、队列、路由类型、路由键等为 RabbitMQ 中间件的概念。本文对其做如下简要描述，详细信息请查阅 RabbitMQ 相关文档。 虚拟主机（Virtual Host） 一个资源管理概念，用作逻辑隔离。不同 Vhost 之间的 Exchange 和 Queue 相互隔离，互不干扰。 交换机（Exchange） 生产者将消息发送到 Exchange 中，Exchange 根据消息的属性或内容将消息路由到一个或多个 Queue 中（或者丢弃），Consumer 从 Queue 中拉取消息进行消费。 路由类型 交换机的关键属性。包括：Direct、Fanout、Topic。 Direct：该类型的交换机会把消息路由到与路由键完全匹配的 Queue 中。 Fanout：该类型的交换机会将消息路由到所有与其绑定的 Queue 中。 Topic：该类型的交换机会支持多条件匹配和模糊匹配将消息路由至与其绑定的 Queue 中。（本文不讲解，一般情况使用 Direct、Fanout 即可） 路由键 当交换机路由类型为 Direct 或 Topic 时，交换机绑定队列时需要设置路由键，给交换机发送消息时需要带上这个参数，交换机根据路由类型和路由键匹配规则将消息投递到合适的队列等待消费。（Direct 是精确匹配、Topic 是模糊匹配、Fanout 不需要路由匹配）","s":"图示说明","u":"/pangu-framework/docs/advanced-guide/mq","h":"#图示说明","p":181},{"i":190,"t":"本文以腾讯云 TDMQ (RabbitMQ 版本) 为例。TDMQ RabbitMQ 版是一款腾讯研发的消息队列服务，支持 AMQP 0-9-1 协议，完全兼容开源 RabbitMQ 的各个组件与概念。因此，本教程也适用原生开源 RabbitMQ 中间件和兼容开源 RabbitMQ 的其它云端消息服务。 在控制台创建队列及相关组件如下图所示。 虚拟主机 交换机 队列 路由关系","s":"创建队列","u":"/pangu-framework/docs/advanced-guide/mq","h":"#创建队列","p":181},{"i":193,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 application.properties application-dev.properties spring.profiles.active=${spring.profiles.active:dev} spring.application.name=pangu-examples-mq-rabbitmq-sender spring.rabbitmq.host=jzaep3orxb2b.public.tencenttdmq.com spring.rabbitmq.port=5672 spring.rabbitmq.username=admin spring.rabbitmq.password=123456 spring.rabbitmq.virtual-host=vhost-pangu logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/mq","h":"#本地配置","p":181},{"i":195,"t":"@Slf4j @Component public class SendService { @Autowired private RabbitTemplate rabbitTemplate; /** * 发送消息到Fanout交换机 * @return */ public void sendMsg1FanoutBased(){ String msg = \"我是云南大熊(Fanout), \" + DateUtil.now(); // 参数说明：参数1：交换机名称。 参数2：routing key 参数3：消息内容 rabbitTemplate.convertAndSend(\"exchange-fanout\", \"\", msg); log.info(\"消息发送成功。{}\", msg); } /** * 发送消息到Direct交换机 * @return */ public void sendMsg1DirectBased(String routingKey){ String msg = \"我是云南大熊(Direct), \" + DateUtil.now(); // 参数说明：参数1：交换机名称。 参数2：routing key 参数3：消息内容 rabbitTemplate.convertAndSend(\"exchange-direct\", routingKey, msg); log.info(\"消息发送成功。{}\", msg); } } 提示 发送消息到 Fanout 交换机时，路由键参数为空；发送消息到 Direct 交换机时候路由键根据上图（队列规划）传参。（如：Key-1、Key-2）。","s":"消息发送代码","u":"/pangu-framework/docs/advanced-guide/mq","h":"#消息发送代码","p":181},{"i":198,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 application.properties application-dev.properties spring.profiles.active=${spring.profiles.active:dev} spring.application.name=pangu-examples-mq-rabbitmq-receiver spring.rabbitmq.host=jzaep3orxb2b.public.tencenttdmq.com spring.rabbitmq.port=5672 spring.rabbitmq.username=admin spring.rabbitmq.password=123456 spring.rabbitmq.virtual-host=vhost-pangu # 开启ACK NONE|MANUAL|AUTO(default) spring.rabbitmq.listener.simple.acknowledge-mode=manual logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO 关键配置项说明 消息确认模式配置项（spring.rabbitmq.listener.simple.acknowledge-mode） NONE：无消息确认支持。消息一旦从队列取出即被永久删除。 AUTO：自动确认（缺省配置）。消费代码抛出异常则重新将消息放入队列，无异常则抛出则确认消费。 MANUAL：手工确认。如下代码根据业务逻辑进行手工确认消息。","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/mq","h":"#本地配置-1","p":181},{"i":200,"t":"@Component public class Queue1Listener { @RabbitHandler @RabbitListener(queues = \"queue-1\") public void receiveMsg(Message message, Channel channel) throws IOException { long deliveryTag = message.getMessageProperties().getDeliveryTag(); try { log.info(\"接收消息(queue-1)：{}\", new String(message.getBody())); // do business... channel.basicAck(deliveryTag, false); } catch (Exception e) { log.error(\"消费出错了\", e); channel.basicNack(deliveryTag, true, true); } } } 如上为 queue-1 的监听代码，其余类似。如果 ACK 消息确认模式为自动模式则消费代码不需要 try 结构。","s":"消息监听代码","u":"/pangu-framework/docs/advanced-guide/mq","h":"#消息监听代码","p":181},{"i":203,"t":"@SpringBootApplication public class RabbitmqReceiverApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(RabbitmqReceiverApplication.class).run(args); } }","s":"消费者：启动消费监听程序","u":"/pangu-framework/docs/advanced-guide/mq","h":"#消费者启动消费监听程序","p":181},{"i":205,"t":"/** * 发送消息交换机 */ @Test public void sendMsg() { //发送消息到Fanout交换机 sendService.sendMsg1FanoutBased(); //发送消息到Direct交换机 sendService.sendMsg1DirectBased(\"key-1\"); //发送消息到Direct交换机 sendService.sendMsg1DirectBased(\"key-2\"); }","s":"生产者：执行测试用例发送消息","u":"/pangu-framework/docs/advanced-guide/mq","h":"#生产者执行测试用例发送消息","p":181},{"i":207,"t":"生产者 消费者","s":"测试结果截图","u":"/pangu-framework/docs/advanced-guide/mq","h":"#测试结果截图","p":181},{"i":209,"t":"pangu-examples-mq-rabbitmq-sender：消息队列范例（生产者） pangu-examples-mq-rabbitmq-receiver：消息队列范例（消费者）","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/mq","h":"#本文相关范例源码","p":181},{"i":211,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/mq","h":"#下一步","p":181},{"i":213,"t":"配置中心作为分布式微服务开发的标配组件，业界已有很多成功的典型应用，如：携程 Apollo 分布式配置中心、百度 Disconf 分布式配置中心等。盘古配置中心基于阿里的 Nacos 提供动态配置服务。 警告 鉴于文档可读性，盘古教程和参考范例都使用的本地配置的方式。本文将介绍如何基于配置中心让盘古应用获得动态配置服务的能力。在实际应用中，如无特殊需求我们一般都建议采用配置中心的方式来开发。","s":"配置中心","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"","p":212},{"i":215,"t":"Nacos 动态配置服务可以让你以中心化、外部化和动态化的方式管理所有环境的应用配置和服务配置。动态配置消除了配置变更时重新部署应用和服务的需要，让配置管理变得更加高效和敏捷。配置中心化管理让实现无状态服务变得更简单，让服务按需弹性扩展变得更容易。它还提供了一个简洁易用的 UI 帮助你管理所有的服务和应用的配置，包括配置版本跟踪、金丝雀发布、一键回滚配置等一系列开箱即用的配置管理特性，帮助你更安全地在生产环境中管理配置变更和降低配置变更带来的风险。 快速 QA：前文中 Nacos 用于服务注册，为什么配置中心也是它？ Nacos 是构建以“服务”为中心的现代应用架构 (例如微服务范式、云原生范式) 的服务基础设施。致力于发现、配置和管理微服务，完美的整合了配置中心和服务注册中心。因此，Nacos 不仅是服务注册中心也是功能完善的分布式配置中心。 快速 QA：单体分层架构的开发模式也可以使用配置中心进行配置吗？ 配置中心是分布式微服务架构开发环境下强烈建议的必选标配组件。但如果你是基于单体分层架构开发，配置中心也是一样可以使用的。对于这些基础能力，无论是微服务还是单体，盘古框架都做了完美适配，只需要依赖 `pangu-spring-boot-starter` 就可以实现开箱即用。","s":"配置中心介绍","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#配置中心介绍","p":212},{"i":217,"t":"命名空间 用于进行租户粒度的配置隔离。不同的命名空间下，可以存在相同的 Group 或 Data ID 的配置。Namespace 的常用场景之一是不同环境的配置的区分隔离，例如开发测试环境和生产环境的资源（如配置、服务）隔离等。 配置管理 系统配置的编辑、存储、分发、变更管理、历史版本管理、变更审计等所有与配置相关的活动。 配置项 一个具体的可配置的参数与其值域，通常以 param-key=param-value 的形式存在。例如我们常配置系统的日志输出级别（ logLevel=INFO|WARN|ERROR ）就是一个配置项。 配置集 一组相关或者不相关的配置项的集合称为配置集。在系统中，一个配置文件通常就是一个配置集，包含了系统各个方面的配置。例如，一个配置集可能包含了数据源、线程池、日志级别等配置项。 配置集ID Nacos 中的某个配置集的 ID。配置集 ID 是组织划分配置的维度之一。一个系统或者应用可以包含多个配置集，每个配置集都可以被一个有意义的名称标识。（比如：使用应用名称作为 Data ID） 配置快照 Nacos 的客户端 SDK 会在本地生成配置的快照。当客户端无法连接到 Nacos Server 时，可以使用配置快照显示系统的整体容灾能力。配置快照类似于 Git 中的本地 commit，也类似于缓存，会在适当的时机更新，但是并没有缓存过期（ expiration ）的概念。","s":"相关名词解释","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#相关名词解释","p":212},{"i":219,"t":"本地配置（配置文件） 配置分散、与应用耦合、静态配置 无环境隔离无版本支持，容易引发生产事故 无安全审计 配置中心 配置集中、外部化、动态化实时生效 多环境隔离多版本支持，较安全 配置权限控制、操作变更审计","s":"本地配置与配置中心对比","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#本地配置与配置中心对比","p":212},{"i":221,"t":"下面介绍一个使用配置中心的例子。其它基于本地配置的范例都可以参考这个例子改为基于配置中心的动态配置。","s":"配置中心实战","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#配置中心实战","p":212},{"i":223,"t":"盘古 Parent 基础模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#安装相关盘古模块","p":212},{"i":225,"t":"基于配置中心的配置也是需要一个本地配置文件的，但这个配置文件是固定的模版格式。用于配置一些与配置中心进行数据通信相关的基础类参数。如下所示。 spring.application.name=pangu-examples-config-remote-nacos spring.profiles.active=${spring.profiles.active:dev} nacos.config.bootstrap.enable=true nacos.config.bootstrap.log-enable=true nacos.config.auto-refresh=true nacos.config.namespace=${nacos.namespace:pangu-dev} nacos.config.server-addr=${nacos.server-addr:127.0.0.1:8848} #nacos.config.type=yaml nacos.config.type=properties nacos.config.data-id=${spring.application.name} 关键配置项说明 nacos.config.auto-refresh 配置中心的配置变更后自动刷新到配置客户端 nacos.config.namespace 命名空间（注意是对应命名空间的 ID 值），建议使用命名空间来区分部署环境 nacos.config.server-addr 配置中心通信地址 nacos.config.type 配置中心使用的配置格式（ properties、yaml 等） nacos.config.data-id 配置中心某配置集的唯一标识","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#本地配置","p":212},{"i":227,"t":"在进行完上述本地配置后，我们的应用就能和配置中心进行数据同步了。现在根据本地配置信息在配置中心创建相对应的命名空间和同名 data-id 的配置集。 快速 QA：客户端是如何与 Nacos 配置中心进行数据同步的？ 客户端通过 http 长轮询机制拉取 nacos server 端的配置数据，并会在本地创建配置快照（容灾）。在长轮询的超时等待过程中，nacos server 端如果配置发生改变，会主动将配置写入 response 并返回，模拟了“推送”效果。所以客户端能实时感知配置中心的配置变化。 创建命名空间 在 Nacos 管理系统的『命名空间』菜单新建 ID 为 pangu-dev 的命名空间（此 ID 即为上述配置项 nacos.config.namespace 的值）。如下图所示。 创建配置集 一个命名空间下可以创建多组配置集，每个配置集由 data-id 来唯一标识。在 Nacos 管理系统的『配置管理-配置列表』菜单新建 data-id 值为 pangu-examples-config-remote-nacos 的配置集。如下图所示。 配置集列表 新增/编辑配置集","s":"配置中心配置","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#配置中心配置","p":212},{"i":229,"t":"@SpringBootApplication public class NacosConfigurationApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(NacosConfigurationApplication.class).run(args); } }","s":"启动入口","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#启动入口","p":212},{"i":231,"t":"至此，我们就可以在应用中使用 @NacosValue 注解来获取配置项了。如下代码所示。 /** * 开启 autoRefreshed配置项, 可以实现参数的动态刷新 */ @NacosValue(value = \"${demo.app.id}\") private String appId; @NacosValue(value = \"${demo.app.name}\", autoRefreshed = true) private String appName; @NacosValue(value = \"${demo.app.author}\", autoRefreshed = true) private String appAuthor; 快速 QA：范例只演示了几个简单的变量参数，数据库等中间件的连接配置信息可以放配置中心吗？ 当然是可以的，干就完了。","s":"使用配置","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#使用配置","p":212},{"i":233,"t":"为了增强日志输出的可观测性，盘古基础模块实现了基于配置中心的日志级别热切换能力。只需要在配置中心修改或新增日志级别配置，则对应的日志输出级别即刻实时生效。 #日志 logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO","s":"彩蛋：基于配置中心的日志级别热切换","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#彩蛋基于配置中心的日志级别热切换","p":212},{"i":235,"t":"pangu-examples-config-remote-nacos：配置中心参考范例 pangu-examples-log-dynamic：基于配置中心的日志级别热切换参考范例","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#本文相关范例源码","p":212},{"i":237,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/nacos-config-center","h":"#下一步","p":212},{"i":239,"t":"信息 pangu-examples 项目收录了和盘古开发相关的各种范例供新手入门参考。 Gitee 获取范例代码","s":"范例模版工程","u":"/pangu-framework/docs/examples-list","h":"","p":238},{"i":241,"t":"pangu-examples-empty-springboot-based 创建一个基于原生 SpringBoot 框架的空应用 pangu-examples-empty 创建一个基于盘古框架的空应用 pangu-examples-empty-web 创建一个基于盘古框架的 Web 空应用。 pangu-examples-config-remote-nacos 基于 Nacos 配置中心进行配置管理的盘古应用开发模式。 如何获取 Nacos 配置中心的远程配置参数 参数值修改后动态刷新 Nacos 配置数据 pangu-examples-config-local 基于本地配置文件进行配置管理的盘古应用开发模式。 pangu-examples-log-dynamic 如何在线热切换日志输出级别。 pangu-examples-crud 使用盘古代码生成 Maven 插件生成 DAO 相关 Mapper 接口和 Entity 实体类。 使用 MybatisPlus 的 API 接口操作数据库的常用方法。 分页查询和手工映复杂 SQL 的方法。 pangu-examples-cache-layering 如何使用两级缓存（本地缓存 + Redis 集中缓存）。 pangu-examples-cache-single 如何使用 Spring Cache 的一级缓存 RedisTemplate API。 pangu-examples-lock-redis-based 如何使用基于 Redis 的分布式锁（注解式、API 式）。 pangu-examples-dubbo-api 开发 Dubbo 服务时接口文件和 POJO 相关类的打包模块。 pangu-examples-dubbo-service 如何开发一个 Dubbo 远程服务并将其注册到 Nacos 服务中心。 演示分布式链路日志追踪。 pangu-examples-dubbo-gateway-service 如何开发一个 Dubbo 远程服务并将其注册到网关管理中心ShenYu Admin。 pangu-examples-dubbo-consumer 如何调用一个已注册到 Nacos 服务中心的 Dubbo 远程服务。 pangu-examples-webapi-local-service-based 基于 SpringMVC 将本地服务发布为 HTTP 接口。 pangu-examples-webapi-dubbo-service-based 基于 SpringMVC 将 Dubbo 服务发布为 HTTP 接口。 演示分布式链路日志追踪。 pangu-examples-webapi-gateway-based 基于 ShenYu 网关通过泛化调用将 Dubbo 服务发布为 HTTP 接口。 pangu-examples-mq-rabbitmq-sender 基于 RabbitMQ 的消息队列范例（生产者）。 pangu-examples-mq-rabbitmq-receiver 基于 RabbitMQ 的消息队列范例（消费者）。 pangu-examples-seata-at-* 基于 Seata AT 模式的分布式事务范例。 pangu-examples-shardingsphere-readwrite-splitting 如何开发一个读写分离且支持读负载均衡的范例程序。 pangu-examples-shardingsphere-sharding 如何开发一个数据分片的范例程序。","s":"模块目录说明","u":"/pangu-framework/docs/examples-list","h":"#模块目录说明","p":238},{"i":243,"t":"Gitee 获取范例代码","s":"获取范例代码","u":"/pangu-framework/docs/examples-list","h":"#获取范例代码","p":238},{"i":245,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/examples-list","h":"#下一步","p":238},{"i":248,"t":"mvn clean package","s":"打包脚本","u":"/pangu-framework/docs/deploy-guide/basic","h":"#打包脚本","p":246},{"i":250,"t":"部署流程和方法工具众多，大家可自由发挥。这里仅给出最基础的启动脚本供参考。 nohup java -jar -Dactive=test xxxxx.jar & 启动参数 根据不同的配置模式和启动模块类型，可能还需要追加一些参数信息。比如： Nacos地址(配置中心、注册中心)：-Dnacos.server-addr=127.0.0.1:8888 Nacos命名空间(配置中心、注册中心)：-Dnacos.namespace=pangu-test ... 其它JVM优化参数、日志参数 根据自身需求自行裁定。","s":"启动脚本","u":"/pangu-framework/docs/deploy-guide/basic","h":"#启动脚本","p":246},{"i":252,"t":"Coming soon...","s":"参考部署架构","u":"/pangu-framework/docs/deploy-guide/basic","h":"#参考部署架构","p":246},{"i":254,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/deploy-guide/basic","h":"#下一步","p":246},{"i":256,"t":"盘古代码生成器是基于 Maven 的一个自定义插件。可以方便快捷的以插件的方式安装到任何一个 Maven 模块中去。目前支持生成如下代码。 MyBatis Plus Mapper.java 映射接口文件 MyBatis Plus Entity.java 实体文件 建议 根据实践经验，不建议使用 MyBatis Plus 的生成器，更不建议生成 Mybatis Plus 风格的 Service 文件。","s":"代码生成器插件","u":"/pangu-framework/docs/code-generator","h":"","p":255},{"i":258,"t":"pom.xml com.gitee.pulanos.pangu pangu-framework-generator-maven-plugin 5.0.6 jdbc:mysql://127.0.0.1:3306/pangu-showcases root root123456 user,resource xiongchun ${project.basedir}/src/main/java/com/gitee/pulanos/pangu/showcases/crud/dao/entity ${project.basedir}/src/main/java/com/gitee/pulanos/pangu/showcases/crud/dao/mapper ","s":"安装 Maven 插件","u":"/pangu-framework/docs/code-generator","h":"#安装-maven-插件","p":255},{"i":260,"t":"配置项 配置说明 url 数据库连接地址 user 数据库用户名 password 数据库密码 tables 目标数据库表，多个表用逗号分割 author 源代码文件的作者签名 entityFilePath 实体类文件输出路径（根据此路径推导包结构） mapperFilePath Mapper 类文件输出路径（根据此路径推导包结构） 提示 上表中输出路径参数可以是基于 ${project.basedir} 的相对路径，也可以是绝对路径。 微服务开发中实体类文件一般是生成到服务接口包里，与服务消费方共享。（可以在接口包模块安装此插件，或者在服务实现模块将实体类生成路径直接指向接口包）","s":"插件参数说明","u":"/pangu-framework/docs/code-generator","h":"#插件参数说明","p":255},{"i":263,"t":"通过 IDEA 或 Eclipse 等开发工具来执行名为 pangu 的 Maven 插件。如下图所示。","s":"方式一","u":"/pangu-framework/docs/code-generator","h":"#方式一","p":255},{"i":265,"t":"通过 Mavne 脚本执行。如下所示。 命令行脚本 cd pom.xml所在的更目录 mvn pangu:generate","s":"方式二","u":"/pangu-framework/docs/code-generator","h":"#方式二","p":255},{"i":267,"t":"控制台输出日志 xc@xc-mac pangu-examples-crud % mvn pangu:generate [INFO] Scanning for projects... [INFO] [INFO] ------------< com.gitee.pulanos.pangu:pangu-examples-crud >------------- [INFO] Building pangu-examples-crud 1.0.0 [INFO] --------------------------------[ jar ]--------------------------------- [INFO] [INFO] --- pangu-framework-generator-maven-plugin:5.0.6:generate (default-cli) @ pangu-examples-crud --- [INFO] 开始生成数据表[user]对应的实体对象... [INFO] UserEntity.java 生成成功。文件路径：/Users/xc/git2/pangu-framework/pangu-examples/pangu-examples-crud/src/main/java/com/gitee/pulanos/pangu/showcases/crud/dao/entiity.java [INFO] 开始生成数据表[user]对应的数据访问接口... [INFO] UserMapper.java 生成成功。文件路径：/Users/xc/git2/pangu-framework/pangu-examples/pangu-examples-crud/src/main/java/com/gitee/pulanos/pangu/showcases/crud/dao/mapper/UserMapper.java [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time: 1.291 s [INFO] Finished at: 2021-11-15T21:54:22+08:00 [INFO] ------------------------------------------------------------------------","s":"输出结果","u":"/pangu-framework/docs/code-generator","h":"#输出结果","p":255},{"i":269,"t":"pangu-examples-crud：数据持久化参考范例（含代码生成器演示） pangu-examples-dubbo-api：服务接口包（含代码生成器演示）","s":"本文相关范例源码","u":"/pangu-framework/docs/code-generator","h":"#本文相关范例源码","p":255},{"i":271,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/code-generator","h":"#下一步","p":255},{"i":273,"t":"1. 盘古服务开发框架和 Spring Cloud 或 Spring Cloud Alibaba 是什么关系？ 没有直接关系。「盘古开发框架」直接基于阿里的 Nacos、Seata、Sentinel 和 Apache 的 Dubbo、ShardingSphere 等分布式中间件输出微服务架构的能力。是一套完全独立于 Spring Cloud 生态的轻量灵活、成熟可靠的工业级分布式微服务开发和治理框架。相较于 SC 和 SCA 而言，简单、纯洁、不被污染和绑架、易扩展好维护是其显著特点。 2. 盘古服务开发框架可以做单体开发吗? 可以。从纯技术角度看，盘古服务开发的最佳姿势是 分布式微服务开发，但也支持搭建 垂直单体分层架构的开发模式。","s":"日常开发常见问答","u":"/pangu-framework/docs/faq-service","h":"","p":272},{"i":275,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/faq-service","h":"#下一步","p":272},{"i":277,"t":"盘古服务开发框架（PanGu Service Framework）以 Dubbo、Nacos 和 Spring Boot 为核心架构，可在云原生时代构建以「服务」为中心的现代应用架构，帮助用户在云环境中更好的构建、交付和管理自己的微服务平台（也兼容支持垂直单体分层架构开发模式）。","s":"简介","u":"/pangu-framework/docs/intro","h":"","p":276},{"i":279,"t":"在类设计、模块结构划分、技术组件选型、框架体系架构设计时会优先遵循的一些设计范式和指导原则。 极简原则 大道至简，简单代表好用、稳定、易协作。坚持「Keep it Simple & Stupid」设计理念。 最佳实践原则 通过大量的生产实例检验，沉淀复用最佳实践。 无为而治原则 不求大而全，轻量灵活保持架构的纯洁与透明，坚持「Less is More」设计理念。 服务优先原则 「服务」是盘古开发框架的一等公民，旨在微服务和云原生范式基础上构建「以服务为中心」的现代应用架构。 一致性原则 双架构支持，既是分布式微服务架构的工业级首选，同时也能兼容特定需求场景下的单体应用开发。","s":"设计原则","u":"/pangu-framework/docs/intro","h":"#设计原则","p":276},{"i":282,"t":"自定义的 Spring Boot 启动器，完成各功能组件的自动装配。 自研轻量 Maven 插件，支持各场景的模版代码生成。 配置参数外部化、动态化和中心化管理。 面向接口代理的高性能 RPC 服务调用。 支持服务调用智能容错和负载均衡、服务限流与熔断、可视化的服务治理与运维等。构建「以服务为中心」的现代应用架构服务平台。 强大的数据访问能力，内置通用 CRUD 接口；支持 Lambda 表达式；提供逻辑删除、乐观锁、分页、字段值填充等功能。 支持基于异步非阻塞模型的高性能 HTTP 网关通过泛化调用后端 Dubbo 服务。同时网关支持 HTTP 层的鉴权、动态限流、熔断、防火墙、灰度发布等。 提供靠谱的最终一致性分布式事务落地方案。 提供数据治理相关功能，如：读写分离、数据分片、数据加密等。 提供消息队列在异步通信、服务解耦、消峰填谷、缓存同步等应用场景下的使用能力。 提供分布式环境下的多级缓存功能(注解式和编程式)。Caffeine 作为一级本地缓存，Redis 作为二级集中式缓存。 支持可配置、可监控的分布式任务调度。 支持注解声明式和编程式对业务代码在分布式环境下加并发互斥锁。 应用日志输出级别动态切换、分布式日志跟踪等...","s":"主要功能","u":"/pangu-framework/docs/intro","h":"#主要功能","p":276},{"i":284,"t":"基础核心组件 Spring Boot ※ Spring Framework MyBatis (MyBatis Plus) Apache Dubbo Aliware Nacos 扩展增强型组件 Apache ShardingSphere Aliware Seata Aliware Sentinel Layering Cache Lock4J TLog 辅助工具类组件 Lombok Apache Commons Google Guava Hutool 可选组件 可选组件指由我们优选的做过适配或提供集成方案，但不作为盘古框架缺省或标配的组件。 Apache ShenYu XXL Job","s":"组件依赖","u":"/pangu-framework/docs/intro","h":"#组件依赖","p":276},{"i":286,"t":"pangu-parent 盘古资源依赖声明管理模块 pangu-common 盘古公共基础类库 pangu-spring-boot-starter 盘古启动、中心化配置等基础能力自动装配模块 pangu-dubbo-spring-boot-starter 盘古 Dubbo 服务开发自动装配模块 pangu-jdbc-spring-boot-starter 盘古数据库持久化操作自动装配模块 pangu-cache-spring-boot-starter 盘古缓存开发自动装配模块 pangu-web-spring-boot-starter 盘古 Web 应用自动装配模块 pangu-rabbitmq-spring-boot-starter 盘古消息队列自动装配模块 pangu-seata-spring-boot-starter 盘古分布式事务自动装配模块 pangu-data-governance-spring-boot-starter 盘古数据治理（读写分离、数据分片等）自动装配模块 pangu-generator-maven-plugin 盘古代码生成器Maven插件 pangu-examples 盘古框架模版化参考范例集","s":"模块列表","u":"/pangu-framework/docs/intro","h":"#模块列表","p":276},{"i":288,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/intro","h":"#下一步","p":276},{"i":290,"t":"盘古开发框架集成了事务中间件 Seata 来提供分布式事务管理功能。","s":"分布式事务","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"","p":289},{"i":292,"t":"数据库事务需要满足 ACID（原子性、一致性、隔离性、持久性）四个特性。 原子性：指事务作为一个整体来执行，要么全都执行，要么全不执行。 一致性：指事务应确保数据从一个一致的状态转变为另一个一致的状态。 隔离性：指多个事务并发执行时，一个事务的执行不应影响其他事务的执行。 持久性：指已提交事务修改的数据会被持久保存。 在单一数据节点中，事务仅限于对单一数据库资源的访问控制，称之为本地事务。在基于 Spring 的开发中，我们一般使用 @Transactional 注解的声明式事务来管理。","s":"事务概念","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#事务概念","p":289},{"i":294,"t":"由于数据库的拆分或分布式架构（微服务）不可避免的带来了分布式事务的问题。如下为当前针对分布式事务的工程实践和处理方式。 基于业务逻辑和应用场景最小化分布式事务边界 言外之意就是说不要没事找事故意挖坑，人为的去制造没必要的分布式事务场景。 基于 XA 的强一致性事务 XA模式是传统的强一致性分布式事务解决方案，性能较低且锁资源竞争突出。在实际业务中使用较少，本文不做更多讨论。 追求最终一致性的柔性事务 柔性事务通过放宽对强一致性要求，而是通过反向补偿来达到最终一致性，同时换取系统吞吐量的提升和缓解锁资源竞争。目前，Seata 框架提供了多种事务管理模式来支持柔性事务的落地实现。（详见后续章节） 快速 QA：在单体架构的应用中也会有分布式事务吗？ 在常规情况下，我们在一个进程中操作一个数据库，这属于本地事务。但是，如果在一个进程中操作多个数据库，或者在多个进程中操作一个或多个数据库，就产生了分布式事务。可见，分布式事务并非微服务架构的产物，在单体应用中由于数据库的拆分也一样面临分布式事务的问题。","s":"分布式事务概念","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#分布式事务概念","p":289},{"i":296,"t":"Seata 是一款开源的分布式事务解决方案，致力于提供高性能和简单易用的分布式事务服务，为用户打造一站式的分布式解决方案。","s":"Seata 分布式事务框架","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#seata-分布式事务框架","p":289},{"i":298,"t":"事务协调者 TC ( Transaction Coordinator ) 维护全局和分支事务的状态，驱动全局事务提交或回滚。 事务管理器 TM ( Transaction Manager ) 定义全局事务的范围，开始全局事务、提交或回滚全局事务。 资源管理器 RM ( Resource Manager ) 管理分支事务处理的资源，与TC交谈以注册分支事务和报告分支事务的状态并驱动分支事务提交或回滚。 提示 其中，TC 是 Seata 服务端，需要独立部署。TM、RM 是嵌入应用侧的 Seata 客户端，通过动态代理后的 DataSource 和 @GlobalTransactional 注解实现。","s":"Seata 专业术语","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#seata-专业术语","p":289},{"i":300,"t":"一个分布式的全局事务，整体是『两阶段提交』的模型。如下图所示。 Seata 为用户提供了 AT、TCC、SAGA 和 XA 四种事务模式。如下所述。","s":"Seata 分布式事务模型","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#seata-分布式事务模型","p":289},{"i":302,"t":"AT（Automatic Transaction Mode） 模式下，Seata 会代理数据源，在执行业务 SQL 的时候解析 SQL 并生成必要的回滚日志到 undo_log 表，如果需要回滚事务，则根据混滚日志自动生成补偿操作。 一阶段 prepare 行为：在本地事务中，一并提交业务数据更新和自动生成相应回滚日志记录。 二阶段 commit 行为：成功结束，自动异步批量清理回滚日志。 二阶段 rollback 行为：通过回滚日志，自动生成补偿操作，完成数据回滚。","s":"AT 模式","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#at-模式","p":289},{"i":304,"t":"TCC （Manual Transaction Mode） 模式也可以简单的认为是 MT 模式，即手动模式。TCC 模式的作用范围在应用层，依赖用户自行实现的3个方法「try()、confirm()、cancel()」。本质上是实现针对某种业务逻辑的正向和反向方法，成本较大。 一阶段 prepare 行为：调用自定义的 prepare 逻辑。 二阶段 commit 行为：调用自定义的 commit 逻辑。 二阶段 rollback 行为：调用自定义的 rollback 逻辑。","s":"TCC 模式","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#tcc-模式","p":289},{"i":306,"t":"本文不再对 Seata 提供的 SAGA 和 XA 事务模式进行描述。 说明 本质上，Seata 的3大事务模式（ AT、TCC、SAGA ）都是补偿型的。事务处理机制构建在框架自身或业务应用中。事务资源（数据库等）本身对分布式事务是无感知的。而在 XA 模式下，是有感知的，相应事务资源需要实现对 XA 协议的支持，以 XA 协议的机制来管理分支事务。 建议 目前，我们认为 Seata 框架的 AT 模式在并发性能、易用性、成熟度等方面达到了一个很好的平衡。因此，在盘古开发分布式事务场景下，我们将 AT 模式作为默认方案，把 TCC 模式作为补充方案。","s":"其它模式","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#其它模式","p":289},{"i":308,"t":"为了能直观的模拟分布式事务，我们特设计如下用户购买商品的虚拟业务场景。整个业务逻辑由如下3个微服务提供支持。 仓储服务：对给定的商品扣除仓储数量。 订单服务：根据采购需求创建订单。 帐户服务：从用户帐户中扣除余额。 虚拟业务调用结构图如下所示。 订单服务接口定义 账户服务接口定义 库存服务接口定义 public interface OrderService { /** * 创建订单 * @param buyDto */ void createOrder(BuyDto buyDto); } public interface AccountService { /** * 扣减账户余额 * @param buyDto */ void decreaseAccount(BuyDto buyDto); } public interface StockService { /** * 扣减库存 * @param buyDto */ void decreaseStock(BuyDto buyDto); }","s":"虚拟业务场景设计","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#虚拟业务场景设计","p":289},{"i":310,"t":"如下为在盘古框架下基于 Seata 框架 AT 模式的编程实战。分别创建如下几个微服务模块。 pangu-examples-seata-at-api：服务接口包 pangu-examples-seata-at-order：订单微服务 pangu-examples-seata-at-account：账户微服务 pangu-examples-seata-at-stock：库存微服务 pangu-examples-seata-at-main：商品购买业务模块","s":"编程实战（AT 模式）","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#编程实战at-模式","p":289},{"i":312,"t":"在真实环境中，订单服务、账户服务、库存服务有可能是分别对应不同的三个数据库。但本文范例为了简便，将使用同一个数据库。但订单、账户、库存分属不通的微服务模块，使用不通的数据源对象，来达到模拟分布式事务测试效果。 Seata 的 AT 模式依赖回滚日志完成业务反向补偿，因此每个业务库中都需要增加一个 undo_log 回滚日志表。 回滚日志表 DDL 订单表 DDL 账户表 DDL 库存表 DDL CREATE TABLE `undo_log` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `branch_id` bigint(20) NOT NULL, `xid` varchar(100) NOT NULL, `context` varchar(128) NOT NULL, `rollback_info` longblob NOT NULL, `log_status` int(11) NOT NULL, `log_created` datetime NOT NULL, `log_modified` datetime NOT NULL, `ext` varchar(100) DEFAULT NULL, PRIMARY KEY (`id`), UNIQUE KEY `ux_undo_log` (`xid`,`branch_id`) ) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8; CREATE TABLE `order` ( `id` int(11) NOT NULL AUTO_INCREMENT, `user_id` varchar(255) DEFAULT NULL, `commodity_code` varchar(255) DEFAULT NULL, `count` int(11) DEFAULT '0', `money` int(11) DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8; CREATE TABLE `account` ( `id` int(11) NOT NULL AUTO_INCREMENT, `user_id` varchar(255) DEFAULT NULL, `money` int(11) DEFAULT '0', PRIMARY KEY (`id`), UNIQUE KEY `user_id` (`user_id`) ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8; INSERT INTO `account` (`id`, `user_id`, `money`) VALUES (1, 'U001', 1000); CREATE TABLE `stock` ( `id` int(11) NOT NULL AUTO_INCREMENT, `commodity_code` varchar(255) DEFAULT NULL, `count` int(11) DEFAULT '0', PRIMARY KEY (`id`), UNIQUE KEY `commodity_code` (`commodity_code`) ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8; INSERT INTO `stock` (`id`, `commodity_code`, `count`) VALUES (1, 'C001', 100);","s":"初始化数据库环境","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#初始化数据库环境","p":289},{"i":314,"t":"盘古 Parent 基础模块 JDBC 模块 Dubbo 模块 Seata 事务模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-jdbc-spring-boot-starter com.gitee.pulanos.pangu pangu-dubbo-spring-boot-starter com.gitee.pulanos.pangu pangu-seata-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#安装相关盘古模块","p":289},{"i":316,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 如下配置以 pangu-examples-seata-at-order 模块为例，其它模块类似。 application.properties application-dev.properties spring.profiles.active=${spring.profiles.active:dev} spring.application.name=pangu-examples-seata-at-order dubbo.protocol.name=dubbo #dubbo.protocol.port=-1 dubbo.protocol.port=20882 dubbo.consumer.timeout=5000 dubbo.registry.address=nacos://${nacos.server-addr}?namespace=${nacos.namespace} dubbo.consumer.check=false seata.enabled=true seata.service.disable-global-transaction=false seata.tx-service-group=pangu-test-group seata.service.vgroup-mapping.pangu-test-group=seata-server seata.service.grouplist.seata-server=127.0.0.1:8091 seata.config.type=file seata.registry.type=file spring.datasource.type=com.zaxxer.hikari.HikariDataSource spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver spring.datasource.url=jdbc:mysql://localhost:3306/pangu-examples?useUnicode=true&characterEncoding=utf-8&autoReconnect=true&failOverReadOnly=false&allowMultiQueries=true&useSSL=false&rewriteBatchedStatements=true spring.datasource.username=root spring.datasource.password=root123456 mybatis-plus.mapperLocations=classpath*:/mapper/**/*.xml mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl pangu.jdbc.db-type=mysql logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO 关键配置项说明 seata.service.grouplist.seata-server Seata Server （事务协调者 TC ）的通讯地址。","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#本地配置","p":289},{"i":318,"t":"购买商品业务代码 订单服务接口实现 账户服务接口实现 库存服务接口实现 @Component public class MainBizService { @Reference(version = \"1.0.0\", group = \"pangu-examples-seata-at-account\") private AccountService accountService; @Reference(version = \"1.0.0\", group = \"pangu-examples-seata-at-order\") private OrderService orderService; @Reference(version = \"1.0.0\", group = \"pangu-examples-seata-at-stock\") private StockService stockService; //此注解开启全局事务管理器 @GlobalTransactional public void buyItems(BuyDto buyDto){ orderService.createOrder(buyDto); accountService.decreaseAccount(buyDto); stockService.decreaseStock(buyDto); } } @Service(version = \"1.0.0\", group = \"pangu-examples-seata-at-order\") public class OrderServiceImpl implements OrderService { @Autowired private OrderMapper orderMapper; @Override @Transactional(rollbackFor = RuntimeException.class) public void createOrder(BuyDto buyDto) { OrderEntity orderEntity = new OrderEntity(); orderEntity.setUserId(buyDto.getUserId()); orderEntity.setCommodityCode(buyDto.getCommodityCode()); orderEntity.setCount(buyDto.getCount()); orderEntity.setMoney(buyDto.getMoney()); orderMapper.insert(orderEntity); } } @Service(version = \"1.0.0\", group = \"pangu-examples-seata-at-account\") public class AccountServiceImpl implements AccountService { @Autowired private AccountMapper accountMapper; @Override @Transactional(rollbackFor = RuntimeException.class) public void decreaseAccount(BuyDto buyDto) { AccountEntity accountEntity = accountMapper.selectOne(Wrappers.lambdaQuery().eq(AccountEntity::getUserId, buyDto.getUserId())); LambdaUpdateWrapper updateWrapper = Wrappers.lambdaUpdate(); updateWrapper.set(AccountEntity::getMoney, accountEntity.getMoney() - buyDto.getCount() * buyDto.getMoney()); updateWrapper.eq(AccountEntity::getUserId, buyDto.getUserId()); accountMapper.update(null, updateWrapper); } } @Service(version = \"1.0.0\", group = \"pangu-examples-seata-at-stock\") public class StockServiceImpl implements StockService { @Autowired private StockMapper stockMapper; @Override @Transactional(rollbackFor = RuntimeException.class) public void decreaseStock(BuyDto buyDto) { StockEntity stockEntity = stockMapper.selectOne(Wrappers.lambdaQuery().eq(StockEntity::getCommodityCode, buyDto.getCommodityCode())); Assert.notNull(stockEntity, \"没有查询到商品{}的库存信息。\", buyDto.getCommodityCode()); LambdaUpdateWrapper updateWrapper = Wrappers.lambdaUpdate(); Assert.isTrue(stockEntity.getCount() >= buyDto.getCount(), \"库存不够，下单失败\"); updateWrapper.set(StockEntity::getCount, stockEntity.getCount() - buyDto.getCount()); updateWrapper.eq(StockEntity::getCommodityCode, buyDto.getCommodityCode()); stockMapper.update(null, updateWrapper); } }","s":"主要业务逻辑","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#主要业务逻辑","p":289},{"i":321,"t":"可通过官网下载 Seata 服务端，通过如下脚本启动。 sh seata-server.sh -p 8091","s":"启动 Seata 服务端（ TC ）","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#启动-seata-服务端-tc-","p":289},{"i":323,"t":"分别启动订单服务、账户服务、库存服务。需追加如下启动脚本参数。 -Dnacos.server-addr=10.155.46.45:8888 -Dnacos.namespace=pangu-dev","s":"启动微服务","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#启动微服务","p":289},{"i":325,"t":"模拟提交 模拟业务成功的正常逻辑，分支事务提交、全局事务提交。 @Test public void buyItems() { BuyDto buyDto = new BuyDto(); buyDto.setCount(1); buyDto.setMoney(10); buyDto.setCommodityCode(\"C001\"); buyDto.setUserId(\"U001\"); mainBizService.buyItems(buyDto); } 模拟回滚 模拟业务失败的异常逻辑，分支事务回滚、全局事务回滚。 @Test public void buyItems() { BuyDto buyDto = new BuyDto(); // !!! 此参数会导致爆库存不足的异常，导致库存服务减库存失败 buyDto.setCount(101); buyDto.setMoney(10); buyDto.setCommodityCode(\"C001\"); buyDto.setUserId(\"U001\"); mainBizService.buyItems(buyDto); }","s":"执行测试用例","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#执行测试用例","p":289},{"i":327,"t":"pangu-examples-seata-at-api：服务接口包 pangu-examples-seata-at-order：订单微服务 pangu-examples-seata-at-account：账户微服务 pangu-examples-seata-at-stock：库存微服务 pangu-examples-seata-at-main：商品购买业务模块","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#本文相关范例源码","p":289},{"i":329,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/distributed-transaction","h":"#下一步","p":289},{"i":331,"t":"盘古服务开发框架已经发布到 Maven 中央仓库，直接使用如下方法安装使用即可。","s":"安装","u":"/pangu-framework/docs/install","h":"","p":330},{"i":333,"t":"盘古资源依赖声明管理模块。所有盘古引用都应该依赖这个模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-parent ${最新稳定版本} implementation 'com.gitee.pulanos.pangu:pangu-parent:${最新稳定版本}'","s":"依赖管理模块","u":"/pangu-framework/docs/install","h":"#依赖管理模块","p":330},{"i":335,"t":"盘古启动、中心化配置、动态日志等基础能力自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-spring-boot-starter:${最新稳定版本}'","s":"基础模块","u":"/pangu-framework/docs/install","h":"#基础模块","p":330},{"i":337,"t":"盘古微服务开发自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-dubbo-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-dubbo-spring-boot-starter:${最新稳定版本}'","s":"Dubbo模块","u":"/pangu-framework/docs/install","h":"#dubbo模块","p":330},{"i":339,"t":"盘古数据库持久化操作自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-jdbc-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-jdbc-spring-boot-starter:${最新稳定版本}'","s":"JDBC模块","u":"/pangu-framework/docs/install","h":"#jdbc模块","p":330},{"i":341,"t":"盘古 Seata 分布式事务自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-seata-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-seata-spring-boot-starter:${最新稳定版本}'","s":"分布式事务管理模块","u":"/pangu-framework/docs/install","h":"#分布式事务管理模块","p":330},{"i":343,"t":"盘古 ShardingSphere 数据治理（如：读写分离、数据分片、数据加密等）自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-data-governance-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-data-governance-spring-boot-starter:${最新稳定版本}'","s":"数据治理模块","u":"/pangu-framework/docs/install","h":"#数据治理模块","p":330},{"i":345,"t":"盘古缓存开发自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-cache-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-cache-spring-boot-starter:${最新稳定版本}'","s":"缓存模块","u":"/pangu-framework/docs/install","h":"#缓存模块","p":330},{"i":347,"t":"盘古 RabbitMQ 消息队列开发自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-rabbitmq-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-rabbitmq-spring-boot-starter:${最新稳定版本}'","s":"消息队列模块","u":"/pangu-framework/docs/install","h":"#消息队列模块","p":330},{"i":349,"t":"盘古 Web 应用自动装配模块。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-web-spring-boot-starter implementation 'com.gitee.pulanos.pangu:pangu-web-spring-boot-starter:${最新稳定版本}'","s":"Web模块","u":"/pangu-framework/docs/install","h":"#web模块","p":330},{"i":351,"t":"盘古代码生成器 Maven 插件。 Maven坐标 Gradle DSL com.gitee.pulanos.pangu pangu-generator-maven-plugin implementation 'com.gitee.pulanos.pangu:pangu-generator-maven-plugin:${最新稳定版本}'","s":"代码生成插件","u":"/pangu-framework/docs/install","h":"#代码生成插件","p":330},{"i":353,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/install","h":"#下一步","p":330},{"i":355,"t":"提示 盘古框架不会把用户绑定到一个固定的开发范式和架构上，而是支持随意组合、自动装配、灵活插拔。 既能构建大并发高可用的分布式微服务架构也能搭建小巧的垂直单体分层架构。","s":"开发架构模式对比","u":"/pangu-framework/docs/quick-start/how-to-make-architecture","h":"","p":354},{"i":357,"t":"软件架构的本质是一种在特定资源背景下折中平衡后追求业务增长的一门艺术。决定开发技术架构选型的因素很多。这里，我们简单的对两种不同开发架构模式进行客观比较，希望对大家在技术架构选型时能有所参考意义。","s":"写在前面","u":"/pangu-framework/docs/quick-start/how-to-make-architecture","h":"#写在前面","p":354},{"i":359,"t":"- 单体分层架构 微服务分布式架构 开发 开发测试流程简单 开发测试流程相对复杂 部署运维 单机部署或集群部署（简单）、运维成本低 分布式部署（略难）、运维成本高 团队人员 团队围绕一个中心应用开发，对开发人员能力要求低。开发、维护成本相对较低。 团队基于分布式多应用协作，对开发人员能力要求略高。开发、维护成本相对较高。 其它 扩展性弱、可靠性低、技术创新能力弱、企业对代码等数字资产管控能力弱。 扩展性强、可靠性高、技术创新能力强、企业对代码等数字资产管控能力高。 警报 上述指标对比均为相对结果，仅供参考。在特定项目资源、团队背景、业务场景等环境下，相关指标的相对高低强弱对比是会有偏差甚至反转的。","s":"单体分层架构 VS 微服务分布式架构","u":"/pangu-framework/docs/quick-start/how-to-make-architecture","h":"#单体分层架构-vs-微服务分布式架构","p":354},{"i":361,"t":"如下是从不同维度简单粗暴的以定量或定性的角度给出了一些选型建议，结论是孤立的脱离实际的，仅供参考。采用什么样的架构开发模式不能一概而论，需要大家综合当下实际情况 酌情选择 。 👻 - 单体分层架构 微服务分布式架构 开发人员 < 5 ✔ 研发预算 < 100 w ✔ 用户数较小的管理类系统 ✔ 面向C端的（移动）互联网应用 ✔ 多任务多小组协作 ✔ 有专职运维人员 ✔ 追求可维护性和扩展性 ✔ 追求技术团队长期收益 & 增长 ✔ 甲方企业自建的技术团队 ✔","s":"盘古开发架构选型建议","u":"/pangu-framework/docs/quick-start/how-to-make-architecture","h":"#盘古开发架构选型建议","p":354},{"i":363,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/quick-start/how-to-make-architecture","h":"#下一步","p":354},{"i":365,"t":"本文介绍如何基于盘古开发框架开发一个单体分层架构的应用。文中所述仅为搭建一个单体应用的基本框架，增加配置中心、数据持久化、缓存等能力请参考开发指南的相关章节。","s":"如何开发单体应用","u":"/pangu-framework/docs/quick-start/how-to-make-monomer-architecture-app","h":"","p":364},{"i":367,"t":"软件架构的本质是一种在特定资源背景下折中平衡后追求业务增长的一门艺术。虽然盘古框架的标准姿势是分布式微服务架构开发，但决定技术开发架构选型的因素很多，单体应用依旧有很多应用场景。因此，盘古框架不会把用户绑定到一个固定的开发范式和架构上，而是支持随意组合、自动装配、灵活插拔。既能构建大并发高可用的分布式微服务架构也能搭建小巧的垂直单体分层架构。","s":"背景","u":"/pangu-framework/docs/quick-start/how-to-make-monomer-architecture-app","h":"#背景","p":364},{"i":369,"t":"盘古 Parent 基础模块 Web模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-web-spring-boot-starter 说明 这里仅演示了最简模块组合。如果需要数据持久化、消息队列等功能，请根据开发指南相关章节继续安装相关模块依赖即可。","s":"安装相关盘古模块","u":"/pangu-framework/docs/quick-start/how-to-make-monomer-architecture-app","h":"#安装相关盘古模块","p":364},{"i":371,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 spring.application.name=pangu-examples-empty-web spring.jackson.time-zone=GMT+8 logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO","s":"本地配置","u":"/pangu-framework/docs/quick-start/how-to-make-monomer-architecture-app","h":"#本地配置","p":364},{"i":373,"t":"@SpringBootApplication public class EmptyWebPanguApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(EmptyWebPanguApplication.class).run(args); } }","s":"启动入口","u":"/pangu-framework/docs/quick-start/how-to-make-monomer-architecture-app","h":"#启动入口","p":364},{"i":375,"t":"pangu-examples-empty-web：单体分层Web应用范例","s":"本文相关范例源码","u":"/pangu-framework/docs/quick-start/how-to-make-monomer-architecture-app","h":"#本文相关范例源码","p":364},{"i":377,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/quick-start/how-to-make-monomer-architecture-app","h":"#下一步","p":364},{"i":379,"t":"盘古开发框架使用 Spring Boot 的 logback 作为缺省的日志框架实现。但我们对日志做了如下一些增强功能。","s":"日志相关","u":"/pangu-framework/docs/deploy-guide/log","h":"","p":378},{"i":381,"t":"基于微服务架构的应用，因为业务链路贯穿着很多微服务节点，导致定位某个请求的日志以及上下游业务的日志会变得非常困难。为了解决这一痛点， 业界也有诸多成熟方案。如 SkyWalking，Pinpoint 等，但其运维成本和数据存储成本均不可小觑。如果有相应的资源去做那它们自然是不二之选。 但如果你资源有限，那么这里给出一个非常轻量的通过集成 TLog 来解决日志追踪问题的方案。 什么是 TLog ? TLog提供了一种最简单的方式来解决日志追踪问题，它不收集日志，也不需要另外的存储空间，它只是自动的对你的日志进行打标签，自动生成TraceId贯穿你微服务的一整条链路。并且提供上下游节点信息。","s":"分布式日志追踪","u":"/pangu-framework/docs/deploy-guide/log","h":"#分布式日志追踪","p":378},{"i":383,"t":"TLog 已经作为一个标准缺省组件集成进了 pangu-spring-boot-starter 盘古基础模块。使用的时候只需要再启动类中加入如下静态代码块就可以。 static { AspectLogEnhance.enhance(); }","s":"如何使用","u":"/pangu-framework/docs/deploy-guide/log","h":"#如何使用","p":378},{"i":385,"t":"我们在一个 Dubbo 服务消费者和一个 Dubbo 服务生产者应用中分别做如上配置后，就可以在每个调用链的日志里看到 TLog 自定嵌入的 TraceId 标签值 10812814178142336。如下所示。 消费端： 2022-06-23 14:40:50 INFO 47050 - [nio-8080-exec-1] c.x.DemoController : < 0 >< 10812814178142336 > call case1... 生产端： 2022-06-23 14:40:50 INFO 46395 - [:20881-thread-4] c.x.UserServiceImpl : < 0.1 >< 10812814178142336 > 参数userIn：UserInDto(name=null, userType=1) 如果是 HTTP 调用，则 TraceId 标签值 10812814178142336 会写入到 HTTP 请求的响应标题中。如下所示。 tlogTraceId: 10812814178142336 以上 DEMO 案例代码可在如下范例中找到。 pangu-examples-dubbo-service pangu-examples-webapi-dubbo-service-based","s":"实际日志输出效果","u":"/pangu-framework/docs/deploy-guide/log","h":"#实际日志输出效果","p":378},{"i":387,"t":"为了增强日志输出的可观测性，盘古基础模块实现了基于配置中心的日志级别热切换能力。只需要在配置中心修改或新增日志级别配置，则对应的日志输出级别即刻实时生效。 #配置中心配置日志 logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO","s":"日志级别热切换","u":"/pangu-framework/docs/deploy-guide/log","h":"#日志级别热切换","p":378},{"i":389,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/deploy-guide/log","h":"#下一步","p":378},{"i":391,"t":"在上文《如何开发微服务应用》中，已经介绍了如何开发一个微服务应用以及微服务模块之间的互相调用。本文介绍如何将微服务发布为 Web 接口供前端调用。","s":"如何基于微服务开发 Web 接口","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"","p":390},{"i":393,"t":"在盘古开发框架下实现将微服务发布为 Web 接口有两种方式。一种是基于 Spring RestController 的接口调用模式；一种是基于 ShenYu 网关的泛化调用模式。","s":"技术实现方案","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#技术实现方案","p":390},{"i":395,"t":"实现原理 基于 Spring RestController，依赖 Servlet 容器。 Dubbo 集成 依赖接口 JAR ，通过接口调用 Dubbo 服务。 性能 & 复杂度 性能高，开发简单，部署运维简单。 其它特性 支持跨域配置、流量控制、鉴权、熔断、白名单等（配置简单且与盘古开发框架浑然一体）。 提供了Controller聚合层，可一定程度上减少了微服务之间的循环依赖和调用。","s":"基于 Spring RestController 的接口调用模式","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#基于-spring-restcontroller-的接口调用模式","p":390},{"i":397,"t":"实现原理 基于 Spring Webflex，依赖 Netty 框架或 Servlet 3.1+ 容器。 Dubbo 集成 不依赖接口 JAR，泛化调用 Dubbo 服务。（需要维护接口元数据，且性能有损耗 10%~20%） 性能 & 复杂度 网关自身性能较高（Webflex非阻塞模型）。开发部署运维极其复杂，带来的成本不可小觑。 其它特性 支持流量控制、鉴权、熔断等（配置复杂）。 警告 上述是从不同维度简单粗暴的以定性的角度给出了一些比较，结论是孤立且脱离项目背景和业务场景的，仅供参考。采用什么样的开发模式不能一概而论，需要综合实际情况酌情选择。但对于大部分盘古开发项目而言，我们推荐整体性价比较高的方案一。当然，如果您的项目背景适合使用 ShenYu网关，我们也给出了详细的集成方案。详见：盘古开发框架集成 Apache ShenYu 网关。","s":"基于 ShenYu 网关的泛化调用模式","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#基于-shenyu-网关的泛化调用模式","p":390},{"i":399,"t":"此种模式基于 SpringMVC 通过 Controller 调用后端 Dubbo 服务。依赖 Servlet 容器，需要引入服务接口包。对于 HTTP 接口层面的鉴权、流控等需求都需要基于拦截器来实现。高可用和性能提升可通过Caddy/Nginx 充当 API 网关 反向代理后端多个 Web 节点实现。","s":"编程实战一：基于 Spring RestController 的接口调用模式","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#编程实战一基于-spring-restcontroller-的接口调用模式","p":390},{"i":401,"t":"盘古 Parent 基础模块 Dubbo模块 Web模块 服务接口包 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-dubbo-spring-boot-starter com.gitee.pulanos.pangu pangu-web-spring-boot-starter com.gitee.pulanos.pangu pangu-examples-dubbo-api 1.0.0 ","s":"安装相关盘古模块","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#安装相关盘古模块","p":390},{"i":403,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 spring.application.name=pangu-examples-webapi-dubbo-service-based spring.jackson.time-zone=GMT+8 pangu.web.cross-origin=true dubbo.protocol.name=dubbo dubbo.protocol.port=-1 dubbo.consumer.timeout=5000 dubbo.registry.address=nacos://${nacos.server-addr}?namespace=${nacos.namespace} dubbo.consumer.check=false logging.level.root=INFO","s":"本地配置","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#本地配置","p":390},{"i":405,"t":"可以在任何一个 SpringBean 组件中（针对网关模块而言一般是 Controller 中），引入服务接口后就像本地接口调用一样调用远程服务。Dubbo 将提供高性能的基于代理的远程调用能力，服务以接口为粒度，为开发者屏蔽远程调用底层细节。 如下所示，通过 Cotroller 调用远程服务接口，实现将微服务接口发布为 WebAPI。 DemoController.java // 注入 Dubbo 服务接口 @Reference(version = \"1.0.0\", group = \"pangu-examples-dubbo-service\") private UserService userService; /** * 通过 Spring MVC 将 Duboo 微服务接口发布为 HTTP API * @return */ @RequestMapping(\"/case1\") public Result> case1() { log.info(\"call case1...\"); UserIn userIn = new UserIn().setUserType(\"1\"); List userOuts = userService.listUserOuts(userIn); return Result.success(userOuts); }","s":"调用微服务接口","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#调用微服务接口","p":390},{"i":407,"t":"@EnableDubbo @SpringBootApplication public class DubboProviderApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(DubboProviderApplication.class).run(args); } }","s":"启动入口","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#启动入口","p":390},{"i":409,"t":"pangu-examples-dubbo-api：Dubbo 服务接口包 pangu-examples-dubbo-service：Dubbo 服务提供者 pangu-examples-webapi-dubbo-service-based：基于 Spring Controller 将 Dubbo 服务发布为 HTTP 接口","s":"本范例源码","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#本范例源码","p":390},{"i":411,"t":"盘古开发框架下发布 Dubbo 服务为 HTTP 接口的缺省标准姿势已调整为基于 pangu-web 模块的传统接口调用模式（见上文）。基于 ShenYu 网关的开发模式已降级为一种可选方案，其文档已迁移到了博客专栏。详见：盘古开发框架集成 Apache ShenYu 网关。","s":"编程实战二：基于 ShenYu 网关的泛化调用模式","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#编程实战二基于-shenyu-网关的泛化调用模式","p":390},{"i":413,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/quick-start/how-to-create-http-api","h":"#下一步","p":390},{"i":415,"t":"本文介绍如何基于盘古开发框架开发一个微服务应用。文中所述仅为搭建一个微服务应用的基本框架（服务注册&服务发现），如要增加配置中心、网关代理、数据持久化、缓存等能力请参考使用指南的相关章节。","s":"如何开发微服务应用","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"","p":414},{"i":418,"t":"盘古 Parent 基础模块 Dubbo 模块 服务接口包 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-dubbo-spring-boot-starter com.gitee.pulanos.pangu pangu-examples-dubbo-api 1.0.0 警告 盘古框架微服务交互基于 Dubbo 提供的面向接口代理的高性能 RPC 调用能力。所以，对于内部服务模块之间的交互调用都需要依赖服务接口包。","s":"安装相关盘古模块","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#安装相关盘古模块","p":414},{"i":420,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心 章节。 application.properties application-dev.properties spring.profiles.active=${spring.profiles.active:dev} spring.application.name=pangu-examples-dubbo-service dubbo.protocol.name=dubbo dubbo.protocol.port=20880 dubbo.consumer.timeout=5000 # 服务注册中心地址 dubbo.registry.address=nacos://${nacos.server-addr}?namespace=${nacos.namespace} dubbo.consumer.check=false # 禁用 Dubbo 缺省的异常过滤器，盘古框架中启用了修改过的异常过滤器以支持直接抛出自定义的业务异常。 dubbo.provider.filter=-exception logging.level.root=INFO logging.level.com.gitee.pulanos.pangu=INFO","s":"本地配置","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#本地配置","p":414},{"i":422,"t":"声明接口 UserService.java UserEntity findUserEntity(Long id); 实现接口 UserServiceImpl.java @Service(version = \"1.0.0\", group = \"pangu-showcases-dubbo-service\") public class UserServiceImpl implements UserService { @Override public UserEntity findUserEntity(Long id) { log.info(\"参数ID：{}\", id); UserEntity userEntity = new UserEntity(); userEntity.setId(id); userEntity.setName(\"云南码农大熊\"); return userEntity; } }","s":"实现服务接口","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#实现服务接口","p":414},{"i":424,"t":"@EnableDubbo @SpringBootApplication public class DubboProviderApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(DubboProviderApplication.class).run(args); } } // 启动参数设置（如下示例） // -Dnacos.server-addr=127.0.0.1:8848 -Dnacos.namespace=pangu-dev 提示 通过 @EnableDubbo 注解开启 Dubbo 支持。由于 Dubbo 的使用 netty 作为底层网络通信，所以缺省情况下微服务启动成功后观察控制台可知并没有 Tomcat 一类 Servlet 容器随之启动。","s":"启动入口","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#启动入口","p":414},{"i":426,"t":"成功启动应用会自动像 Nacos 服务注册中心注册服务。登录 Nacos 控制台即可在【服务管理->服务列表】页查看效果。如下图所示。","s":"服务注册","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#服务注册","p":414},{"i":428,"t":"上述服务注册到 Nacos 服务中心以后就可以对外提供服务了。可以在任何一个 SpringBean 组件中（一般是 Service、Manager 等），引入服务接口后就像本地接口调用一样调用远程服务。Dubbo 将提供高性能的基于代理的远程调用能力，为开发者屏蔽远程调用底层细节。服务消费端所需要的依赖和提供端是一样的，这里不再赘述。仅给出消费相关代码。如下所示。 服务消费端，调用远程服务代码 UserAdminManager.java @Component public class UserAdminManager { @Reference(version = \"1.0.0\", group = \"pangu-examples-dubbo-service\") private UserService userService; public void findUserEntityById(Long id){ log.info(\"开始Dubbo远程调用...\"); UserEntity userEntity = userService.findUserEntity(id); log.info(\"[OK] 调用成功 {}\", userEntity); } }","s":"服务消费者","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#服务消费者","p":414},{"i":430,"t":"pangu-examples-dubbo-api：服务接口包 pangu-examples-dubbo-service：服务提供者 pangu-examples-dubbo-consumer：服务消费者","s":"本文相关范例源码","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#本文相关范例源码","p":414},{"i":432,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/quick-start/how-to-make-microservice-architecture-app","h":"#下一步","p":414},{"i":434,"t":"盘古开发框架集成了数据库中间件 ShardingSphere 来提供数据治理相关功能。如：读写分离、数据分片、数据加密等。","s":"数据治理之读写分离","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"","p":433},{"i":436,"t":"随着业务系统日益增加的系统访问量，数据库的吞吐量往往成为系统并发的性能瓶颈。对于同一时刻有大量并发读操作和较少写操作类型的应用系统来说，将数据库拆分为主库和从库搭架主从集群，由主库负责处理事务性的增删改操作，从库负责处理查询操作，能够有效的避免数据更新导致的行锁，从而一定程度提升整个系统的读写并发性能。如下图所示。 提示 目前支持一主一从或一主多从的主从集群架构，不支持多主写的架构。对于多从的架构可根据路由算法做读负载均衡，以将查询请求均匀的分散到多个数据副本。（数据库主从架构搭架不在本文讨论范围之内）","s":"读写分离概念","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#读写分离概念","p":433},{"i":438,"t":"对于一般的简单理解，读写分离就是 DQL 请求走从库，DML 请求走主库。但对于开发人员而言，在实际开发中还需要考虑如下问题。 主从数据同步延迟问题 因为我们主从同步是异步复制的，不可避免的会有延迟。因此有可能出现 mastre 节点已经写入，但是从 slave 节点读取不到数据的问题。解决方法见后续测试用例章节：读操作强制走主库和事务方法里的所有读写操作都自动走主库。 事务问题 如果一个事务方法里既包含有 DML 请求也有 DQL 请求，如果读请求走从库写请求走主库的话，则势必会带来分布式事务的问题。但对于大部分读写分离场景而言，很显然我们并不希望为了读写分离而去处理分布式事务的问题。因此对于读写分离，恰当的做法是将事务方法中的所有 SQL 请求统一都走主库，将跨库的分布式事务转为本地事务来处理。见后续测试用例章节：事务方法里的所有读写操作都自动走主库。（如果对于分布式场景下的分布式事务问题的处理感兴趣，可以参考：盘古框架分布式事务最佳实践）","s":"读写分离后面临的问题","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#读写分离后面临的问题","p":433},{"i":440,"t":"主库：数据 DML 写操作（insert、update、delete）使用的数据库。仅支持单主库。 从库：数据 DQL 读操作（select）使用的数据库。可支持多从库。 主从同步：将主库数据同步到从库的操作。依赖数据库自身的同步机制，比如：MySQL 基于 binlog 的异步复制。","s":"相关专业术语","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#相关专业术语","p":433},{"i":442,"t":"实现读写分离大致有 3 种方案。如下图所示。 数据库代理模式（服务端代理） 在数据库和应用系统之间独立部署一个数据库代理中间件，所有的 SQL 请求先发送到这个代理，由它完成 SQL 解析、SQL 路由等必要操作。在这种模式下，路由规则都配置到代理上，读写分离的逻辑对开发人员是透明的。 数据源代理模式（客户端代理） 通过在应用端引入组件包，代理应用普通数据源。在这种模式下，路由规则配置到应用侧，所有 SQL 请求都通过代理数据源完成 SQL 解析、SQL 路由等必要操作。 ORM 框架代理模式（客户端代理） 通过 ORM 框架（Hibernate、Mybatis 等）的插件、拦截器机制实现。这只能算是特定环境下的一种实现方法，不能作为一套完整的标准化解决方案。故在此不做更多描述。 实现方式 可选组件 优点 缺点 数据库代理模式 ShardingSphere-Proxy MyCat 多语言支持 独立部署（升级简单） 对开发完全透明 独立部署（增加不稳定因素） 运维成本高 性能损耗高 数据源代理模式 💋 ShardingSphere-JDBC 集成简单、轻松驾驭 性能较好 嵌入 JAR（升级麻烦） 日常数据维护麻烦 ORM 框架代理模式 自研/硬编码 硬撸一时爽 事后火葬场 警告 盘古开发框架使用 ShardingSphere-JDBC 组件，通过数据源代理的方式实现读写分离功能。","s":"读写分离实现原理","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#读写分离实现原理","p":433},{"i":444,"t":"本实例以一主二从的数据库主从集群为例，来演示如何基于盘古框架开发一个读写分离且支持读负载均衡的范例程序。","s":"编程实战","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#编程实战","p":433},{"i":446,"t":"主库 DB create table t_order ( order_id bigint auto_increment primary key, user_id int not null, status varchar(50) null ) comment '订单表'; 根据上述脚本，再创建从库 1 和 从库 2 的 t_order 表。（仅演示读写分离效果，不搭建真实主从复制集群，可手工插入从库所需测试数据）","s":"初始化数据库环境","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#初始化数据库环境","p":433},{"i":448,"t":"盘古 Parent 基础模块 JDBC 模块 数据治理模块 com.gitee.pulanos.pangu pangu-parent latest.version.xxx com.gitee.pulanos.pangu pangu-spring-boot-starter com.gitee.pulanos.pangu pangu-jdbc-spring-boot-starter com.gitee.pulanos.pangu pangu-data-governance-spring-boot-starter ","s":"安装相关盘古模块","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#安装相关盘古模块","p":433},{"i":450,"t":"为便于理解，本文基于本地配置的方式编写。若改为标准的 Nacos 配置中心模式，请参阅：配置中心章节。 spring.application.name=pangu-examples-shardingsphere-readwrite-splitting mybatis-plus.mapperLocations=classpath*:/mapper/**/*.xml mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl # print shardingsphere Actual SQL log spring.shardingsphere.props.sql-show=true spring.shardingsphere.datasource.names=ds-master,ds-slave-1,ds-slave-2 # 主库数据源配置 spring.shardingsphere.datasource.ds-master.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-master.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-master.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples spring.shardingsphere.datasource.ds-master.username=root spring.shardingsphere.datasource.ds-master.password=123456 # 从库 1 数据源配置 spring.shardingsphere.datasource.ds-slave-1.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-slave-1.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-slave-1.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples-0 spring.shardingsphere.datasource.ds-slave-1.username=root spring.shardingsphere.datasource.ds-slave-1.password=123456 # 从库 2 数据源配置 spring.shardingsphere.datasource.ds-slave-2.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds-slave-2.driver-class-name=com.mysql.cj.jdbc.Driver spring.shardingsphere.datasource.ds-slave-2.jdbc-url=jdbc:mysql://localhost:3306/pangu-examples-1 spring.shardingsphere.datasource.ds-slave-2.username=root spring.shardingsphere.datasource.ds-slave-2.password=123456 # 读写分离策略配置 spring.shardingsphere.rules.readwrite-splitting.data-sources.pangu-rws.type=Static # 写数据源配置 spring.shardingsphere.rules.readwrite-splitting.data-sources.pangu-rws.props.write-data-source-name=ds-master # 读数据源配置 spring.shardingsphere.rules.readwrite-splitting.data-sources.pangu-rws.props.read-data-source-names=ds-slave-1,ds-slave-2 # 读负载均衡算法配置 spring.shardingsphere.rules.readwrite-splitting.load-balancers.read-random.type=RANDOM","s":"本地配置","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#本地配置","p":433},{"i":453,"t":"@EnableTransactionManagement @SpringBootApplication public class ReadWriteSplittingApplication { public static void main(String[] args) { PanGuApplicationBuilder.init(ReadWriteSplittingApplication.class).run(args); } }","s":"启动类","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#启动类","p":433},{"i":455,"t":"@Test public void writeRoute() { TOrderEntity entity = new TOrderEntity().setUserId(1).setStatus(\"测试\"); tOrderMapper.insert(entity); }","s":"测试写操作自动走主库","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#测试写操作自动走主库","p":433},{"i":457,"t":"@Test public void readRoute() { tOrderMapper.selectById(1508317805991194627L); tOrderMapper.selectById(1508317805991194628L); }","s":"测试读操作自动走从库负载均衡","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#测试读操作自动走从库负载均衡","p":433},{"i":459,"t":"@Test public void readByWriteRoute() { HintManager hintManager = HintManager.getInstance(); hintManager.setWriteRouteOnly(); try { log.info(\"查询数据（强制走主库）...\"); TOrderEntity entity = tOrderMapper.selectById(2L); log.info(\"查询结果 {}\", entity); } finally { hintManager.close(); } }","s":"测试读操作强制走主库","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#测试读操作强制走主库","p":433},{"i":461,"t":"事务方法里的所有读写操作都自动走主库。 @Test @Transactional(rollbackFor = RuntimeException.class) public void doWithTransaction() { log.info(\"插入数据...\"); TOrderEntity entity = new TOrderEntity().setUserId(1).setStatus(\"测试\"); tOrderMapper.insert(entity); log.info(\"查询数据（事务方法内所有请求自动走主库）...\"); tOrderMapper.selectById(1L); }","s":"测试事务方法自动走主库","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#测试事务方法自动走主库","p":433},{"i":463,"t":"pangu-examples-shardingsphere-readwrite-splitting：数据治理之读写分离范例","s":"本文相关范例源码","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#本文相关范例源码","p":433},{"i":465,"t":"继续阅读其它章节获取你想要的答案或通过我们的 开发者社区 寻求更多帮助。","s":"下一步","u":"/pangu-framework/docs/advanced-guide/readwrite-splitting","h":"#下一步","p":433}],"index":{"version":"2.3.9","fields":["t"],"fieldVectors":[["t/2",[0,3.702,1,7.892,2,3.855,3,2.154,4,7.088,5,1.475,6,7.892,7,7.088,8,7.088]],["t/4",[0,3.441,5,1.855,9,3.472,10,3.887,11,2.803,12,3.887,13,4.522,14,3.262,15,2.684,16,4.495,17,3.441,18,2.42,19,4.133,20,2.978,21,4.981,22,3.594,23,6.096,24,4.798,25,3.828,26,2.742,27,3.594,28,4.934,29,4.29,30,4.29,31,2.629,32,4.356,33,2.707,34,4.29,35,1.857]],["t/6",[0,4.165,3,2.027,5,1.389,10,5.256,11,3.789,12,5.256,13,4.068,14,4.411,15,3.629,18,1.834,36,5.801,37,4.694,38,6.283,39,6.283]],["t/8",[0,3.99,3,1.889,5,1.722,10,4.897,11,3.53,12,4.897,14,4.11,15,3.381,17,3.246,18,2.101,20,2.182,22,4.527,26,3.454,40,4.921,41,2.676,42,5.128,43,2.182,44,4.897,45,4.897,46,6.921,47,4.527]],["t/10",[0,3.702,4,7.088,5,1.72,7,7.088,8,7.088,40,4.217,48,7.892,49,7.892]],["t/12",[0,3.652,2,3.804,5,1.843,10,4.257,11,3.069,12,4.257,14,3.573,15,2.939,16,3.972,18,2.335,19,3.652,20,2.722,26,3.886,40,4.878,41,3.53,50,2.484,51,3.886,52,3.886,53,3.27,54,6.081,55,4.921]],["t/14",[5,1.152,20,1.943,56,2.919,57,2.964,58,4.813,59,4.566,60,3.66,61,6.163,62,3.463,63,3.011,64,2.31,65,1.725,66,6.163,67,4.185,68,7.908,69,6.572,70,6.572,71,4.813,72,5.535,73,5.121,74,6.163,75,6.163,76,5.121,77,2.985,78,6.163,79,4.666,80,4.443,81,4.361,82,2.75,83,6.163,84,6.163,85,6.572]],["t/16",[0,4.041,2,4.54,3,1.928,5,1.737,10,5,11,3.604,12,5,13,4.718,14,4.196,15,3.452,18,1.745,20,2.228,51,4.299,52,4.299,53,3.618]],["t/18",[5,1.639,13,1.31,16,1.22,17,2.719,18,2.289,19,1.122,20,2.555,22,1.565,24,1.565,25,3.798,26,2.893,29,1.868,30,1.868,31,1.145,33,2.542,40,3.098,41,0.925,42,4.295,43,1.828,44,4.532,45,5.378,47,2.572,53,1.005,57,0.896,64,2.173,70,1.988,86,2.782,87,2.782,88,2.392,89,1.988,90,1.988,91,3.07,92,2.587,93,5.392,94,3.931,95,3.531,96,3.931,97,5.005,98,3.931,99,3.697,100,1.84,101,2.392,102,2.148,103,1.344,104,1.005,105,0.988,106,1.868,107,2.148,108,5.002,109,2.153,110,0.724,111,1.868,112,1.988,113,2.148,114,1.868,115,2.148,116,2.392,117,2.148,118,5.378,119,5.005,120,1.88,121,2.148,122,2.148,123,1.868,124,2.148,125,2.392,126,0.775,127,1.988,128,2.148,129,1.006,130,1.248,131,1.42,132,0.988,133,0.94,134,0.678,135,0.988,136,1.868,137,2.445,138,2.782,139,1.565,140,2.148,141,3.063,142,0.832,143,1.772,144,1.716,145,0.896,146,3.443,147,2.148,148,2.148,149,1.344,150,1.868,151,1.57,152,1.988,153,2.67,154,0.87,155,1.624,156,1.31,157,1.464,158,0.82,159,1.988,160,2.148,161,1.693,162,1.624,163,2.148,164,1.868,165,0.971,166,1.988,167,1.278,168,1.693,169,1.921,170,1.868,171,2.782,172,1.988,173,1.772,174,1.868,175,1.772,176,1.565,177,1.693,178,1.988,179,1.693,180,1.565,181,1.772,182,1.988,183,1.693,184,1.344,185,1.693,186,1.248,187,3.267,188,2.498,189,1.169,190,1.868,191,3.267,192,2.148,193,2.392,194,1.988,195,2.392,196,1.292,197,1.772,198,1.464,199,1.464,200,1.772,201,1.693,202,1.868,203,2.392,204,2.392,205,2.392,206,1.772,207,1.988,208,2.392,209,2.392,210,2.392,211,1.624,212,3.931]],["t/20",[0,4.147,3,2.013,5,1.379,10,5.218,11,3.762,12,5.218,14,4.379,15,3.603,18,1.821,36,5.759,37,4.66,38,6.255,39,6.255,40,3.94,41,2.852]],["t/22",[3,1.724,5,1.181,9,3.992,13,4.399,25,4.61,33,2.331,45,4.469,50,2.608,77,2.047,79,3.375,81,4.469,92,2.075,93,4.68,104,2.653,129,1.269,166,5.249,213,5.685,214,5.224,215,5.255,216,5.952,217,5.952,218,3.751,219,3.646,220,4.132,221,3.751,222,4.132,223,3.296,224,3.992,225,5.249,226,5.249,227,4.933]],["t/24",[3,1.308,5,0.896,9,3.028,17,3.134,18,1.183,26,2.391,40,3.57,41,1.853,42,3.55,43,1.511,44,3.391,45,3.391,50,1.978,71,6.008,77,1.553,79,2.56,81,3.391,104,2.013,129,0.963,139,4.371,144,2.853,151,3.496,177,4.728,179,6.194,180,4.371,181,5.7,213,6.714,214,5.331,216,4.951,217,4.951,218,2.846,219,2.766,220,3.134,221,2.846,222,3.134,223,2.501,224,3.028,228,4.792,229,4.568,230,3.134,231,5.553,232,6.393,233,6.909,234,3.982,235,3.391,236,4.304,237,4.304,238,3.982]],["t/26",[3,0.527,5,0.947,15,0.943,17,1.542,18,1.251,20,1.948,29,1.508,30,3.351,31,2.054,40,1.756,44,1.366,47,2.15,50,1.357,56,0.713,57,1.608,70,1.605,76,1.605,82,0.672,85,1.605,86,1.366,99,1.115,103,1.847,104,0.811,108,6.324,109,1.058,110,0.585,111,1.508,112,1.605,113,1.734,114,1.508,118,2.567,123,1.508,126,1.065,130,3.225,131,3.669,132,1.357,133,0.759,134,1.752,135,1.357,144,1.127,151,0.771,153,1.311,159,1.605,169,0.943,172,2.732,173,1.431,174,1.508,175,1.431,177,1.366,178,1.605,179,1.366,180,1.263,196,0.635,206,1.431,230,1.542,239,3.287,240,1.931,241,1.058,242,1.431,243,1.931,244,4.167,245,1.931,246,1.508,247,1.931,248,1.734,249,1.931,250,1.931,251,1.931,252,1.431,253,1.734,254,1.734,255,1.734,256,0.577,257,1.677,258,4.291,259,3.854,260,1.734,261,0.856,262,1.931,263,1.931,264,1.931,265,1.605,266,1.931,267,1.366,268,1.931,269,2.567,270,1.931,271,1.734,272,1.931,273,1.734,274,1.008,275,1.931,276,1.931,277,1.931,278,3.287,279,1.8,280,1.931,281,4.291,282,2.706,283,3.191,284,1.931,285,1.734,286,1.605,287,1.931,288,1.931,289,1.931,290,1.931,291,3.287,292,3.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