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!28 完成多数据源配置
Merge pull request !28 from timfruit/feature/multi-datasource
This commit is contained in:
commit
61799385c9
11
README.md
11
README.md
@ -35,12 +35,12 @@
|
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| | 部门管理 | 配置系统组织机构(公司、部门、小组),树结构展现支持数据权限 |
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| | 岗位管理 | 配置系统用户所属担任职务 |
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||||
| | 字典管理 | 对系统中经常使用的一些较为固定的数据进行维护 |
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||||
| | 通知公告 | 系统通知公告信息发布维护 |
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||||
| 🚀 | 短信管理 | 短信渠道、短息模板、短信日志,对接阿里云、云片等主流短信平台 |
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||||
| 🚀 | 操作日志 | 系统正常操作日志记录和查询,集成 Swagger 生成日志内容 |
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||||
| | 登录日志 | 系统登录日志记录查询包含登录异常 |
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||||
| | 通知公告 | 系统通知公告信息发布维护 |
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||||
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计划新增功能:
|
||||
* 短信
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||||
* 邮件
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||||
* 钉钉、飞书等通知
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@ -87,14 +87,15 @@
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## 技术栈
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**后端**
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### 后端
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| 框架 | 说明 | 版本 | 学习指南 |
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| --- | --- | --- | --- |
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| [Spring Boot](https://spring.io/projects/spring-boot) | 应用开发框架 | 2.4.2 | [文档](https://github.com/YunaiV/SpringBoot-Labs) |
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| [MySQL](https://www.mysql.com/cn/) | 数据库服务器 | 5.7 | |
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| [Druid](https://github.com/alibaba/druid) | JDBC 连接池、监控组件 | 1.2.4 | [文档](http://www.iocoder.cn/Spring-Boot/datasource-pool/?yudao) |
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| [MyBatis-Plus](https://mp.baomidou.com/) | MyBatis 增强工具包 | 3.4.1 | [文档](http://www.iocoder.cn/Spring-Boot/MyBatis/?yudao) |
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| [MyBatis Plus](https://mp.baomidou.com/) | MyBatis 增强工具包 | 3.4.1 | [文档](http://www.iocoder.cn/Spring-Boot/MyBatis/?yudao) |
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| [Dynamic Datasource](https://dynamic-datasource.com/) | 动态数据源 | 3.3.2 | [文档](hhttp://www.iocoder.cn/Spring-Boot/datasource-pool/?yudao) |
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| [Redis](https://redis.io/) | key-value 数据库 | 5.0 | |
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| [Redisson](https://github.com/redisson/redisson) | Redis 客户端 | 3.1.46 | [文档](http://www.iocoder.cn/Spring-Boot/Redis/?yudao) |
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| [Spring MVC](https://github.com/spring-projects/spring-framework/tree/master/spring-webmvc) | MVC 框架 | 5.4.2 | [文档](http://www.iocoder.cn/SpringMVC/MVC/?yudao) |
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@ -111,7 +112,7 @@
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| [JUnit](https://junit.org/junit5/) | Java 单元测试框架 | 5.7.0 | - |
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| [Mockito](https://github.com/mockito/mockito) | Java Mock 框架 | 3.6.28 | - |
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**前端**
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### 前端
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| 框架 | 说明 | 版本 |
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| --- | --- | --- |
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|
6
pom.xml
6
pom.xml
@ -30,6 +30,7 @@
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<mysql-connector-java.version>5.1.46</mysql-connector-java.version>
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<druid.version>1.2.4</druid.version>
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<mybatis-plus.version>3.4.2</mybatis-plus.version>
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<dynamic-datasource.version>3.3.2</dynamic-datasource.version>
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<redisson.version>3.15.1</redisson.version>
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<!-- Config 配置中心相关 -->
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<apollo.version>1.7.0</apollo.version>
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@ -139,6 +140,11 @@
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<artifactId>mybatis-plus-boot-starter</artifactId>
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<version>${mybatis-plus.version}</version>
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</dependency>
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<dependency>
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<groupId>com.baomidou</groupId>
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<artifactId>dynamic-datasource-spring-boot-starter</artifactId> <!-- 多数据源 -->
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<version>${dynamic-datasource.version}</version>
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</dependency>
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<dependency>
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<groupId>org.redisson</groupId>
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|
@ -1,27 +0,0 @@
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package com.ruoyi.common.annotation;
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import java.lang.annotation.Documented;
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import java.lang.annotation.ElementType;
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import java.lang.annotation.Retention;
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import java.lang.annotation.RetentionPolicy;
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import java.lang.annotation.Target;
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/**
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* 数据权限过滤注解
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*
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* @author ruoyi
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*/
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@Target(ElementType.METHOD)
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@Retention(RetentionPolicy.RUNTIME)
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@Documented
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public @interface DataScope {
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/**
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* 部门表的别名
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*/
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public String deptAlias() default "";
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/**
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* 用户表的别名
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*/
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public String userAlias() default "";
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}
|
@ -1,145 +0,0 @@
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package com.ruoyi.framework.aspectj;
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import java.lang.reflect.Method;
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import org.aspectj.lang.JoinPoint;
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import org.aspectj.lang.Signature;
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import org.aspectj.lang.annotation.Aspect;
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import org.aspectj.lang.annotation.Before;
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import org.aspectj.lang.annotation.Pointcut;
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import org.aspectj.lang.reflect.MethodSignature;
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import org.springframework.stereotype.Component;
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import com.ruoyi.common.annotation.DataScope;
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import com.ruoyi.common.core.domain.BaseEntity;
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import com.ruoyi.common.core.domain.entity.SysRole;
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import com.ruoyi.common.core.domain.entity.SysUser;
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import com.ruoyi.common.core.domain.model.LoginUser;
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import com.ruoyi.common.utils.ServletUtils;
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import com.ruoyi.common.utils.StringUtils;
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import com.ruoyi.common.utils.spring.SpringUtils;
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import com.ruoyi.framework.web.service.TokenService;
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/**
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* 数据过滤处理
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*
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* @author ruoyi
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*/
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@Aspect
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@Component
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public class DataScopeAspect {
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/**
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* 全部数据权限
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*/
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public static final String DATA_SCOPE_ALL = "1";
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/**
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* 自定数据权限
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*/
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public static final String DATA_SCOPE_CUSTOM = "2";
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/**
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* 部门数据权限
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*/
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public static final String DATA_SCOPE_DEPT = "3";
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/**
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* 部门及以下数据权限
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*/
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public static final String DATA_SCOPE_DEPT_AND_CHILD = "4";
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/**
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* 仅本人数据权限
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*/
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public static final String DATA_SCOPE_SELF = "5";
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/**
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* 数据权限过滤关键字
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*/
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public static final String DATA_SCOPE = "dataScope";
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// 配置织入点
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@Pointcut("@annotation(com.ruoyi.common.annotation.DataScope)")
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public void dataScopePointCut() {
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}
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@Before("dataScopePointCut()")
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public void doBefore(JoinPoint point) throws Throwable {
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handleDataScope(point);
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}
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protected void handleDataScope(final JoinPoint joinPoint) {
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// 获得注解
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DataScope controllerDataScope = getAnnotationLog(joinPoint);
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if (controllerDataScope == null) {
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return;
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}
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// 获取当前的用户
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LoginUser loginUser = SpringUtils.getBean(TokenService.class).getLoginUser(ServletUtils.getRequest());
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if (StringUtils.isNotNull(loginUser)) {
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SysUser currentUser = loginUser.getUser();
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// 如果是超级管理员,则不过滤数据
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if (StringUtils.isNotNull(currentUser) && !currentUser.isAdmin()) {
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dataScopeFilter(joinPoint, currentUser, controllerDataScope.deptAlias(),
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controllerDataScope.userAlias());
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}
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}
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}
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/**
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* 数据范围过滤
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*
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* @param joinPoint 切点
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* @param user 用户
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* @param userAlias 别名
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*/
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public static void dataScopeFilter(JoinPoint joinPoint, SysUser user, String deptAlias, String userAlias) {
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StringBuilder sqlString = new StringBuilder();
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for (SysRole role : user.getRoles()) {
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String dataScope = role.getDataScope();
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if (DATA_SCOPE_ALL.equals(dataScope)) {
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sqlString = new StringBuilder();
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break;
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} else if (DATA_SCOPE_CUSTOM.equals(dataScope)) {
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sqlString.append(StringUtils.format(
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" OR {}.dept_id IN ( SELECT dept_id FROM sys_role_dept WHERE role_id = {} ) ", deptAlias,
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role.getRoleId()));
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} else if (DATA_SCOPE_DEPT.equals(dataScope)) {
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sqlString.append(StringUtils.format(" OR {}.dept_id = {} ", deptAlias, user.getDeptId()));
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} else if (DATA_SCOPE_DEPT_AND_CHILD.equals(dataScope)) {
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sqlString.append(StringUtils.format(
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" OR {}.dept_id IN ( SELECT dept_id FROM sys_dept WHERE dept_id = {} or find_in_set( {} , ancestors ) )",
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deptAlias, user.getDeptId(), user.getDeptId()));
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} else if (DATA_SCOPE_SELF.equals(dataScope)) {
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if (StringUtils.isNotBlank(userAlias)) {
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sqlString.append(StringUtils.format(" OR {}.user_id = {} ", userAlias, user.getUserId()));
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} else {
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// 数据权限为仅本人且没有userAlias别名不查询任何数据
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sqlString.append(" OR 1=0 ");
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}
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}
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}
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if (StringUtils.isNotBlank(sqlString.toString())) {
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Object params = joinPoint.getArgs()[0];
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if (StringUtils.isNotNull(params) && params instanceof BaseEntity) {
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BaseEntity baseEntity = (BaseEntity) params;
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baseEntity.getParams().put(DATA_SCOPE, " AND (" + sqlString.substring(4) + ")");
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}
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}
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}
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/**
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* 是否存在注解,如果存在就获取
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*/
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private DataScope getAnnotationLog(JoinPoint joinPoint) {
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Signature signature = joinPoint.getSignature();
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MethodSignature methodSignature = (MethodSignature) signature;
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Method method = methodSignature.getMethod();
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|
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if (method != null) {
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return method.getAnnotation(DataScope.class);
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}
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return null;
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}
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}
|
@ -1,28 +0,0 @@
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package com.ruoyi.common.annotation;
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||||
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||||
import java.lang.annotation.Documented;
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||||
import java.lang.annotation.ElementType;
|
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import java.lang.annotation.Inherited;
|
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import java.lang.annotation.Retention;
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import java.lang.annotation.RetentionPolicy;
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import java.lang.annotation.Target;
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import com.ruoyi.common.enums.DataSourceType;
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/**
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* 自定义多数据源切换注解
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* <p>
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* 优先级:先方法,后类,如果方法覆盖了类上的数据源类型,以方法的为准,否则以类上的为准
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*
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||||
* @author ruoyi
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||||
*/
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@Target({ElementType.METHOD, ElementType.TYPE})
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@Retention(RetentionPolicy.RUNTIME)
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@Documented
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@Inherited
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public @interface DataSource {
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/**
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* 切换数据源名称
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*/
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public DataSourceType value() default DataSourceType.MASTER;
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}
|
@ -1,64 +0,0 @@
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package com.ruoyi.framework.aspectj;
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||||
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||||
import java.util.Objects;
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||||
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||||
import org.aspectj.lang.ProceedingJoinPoint;
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||||
import org.aspectj.lang.annotation.Around;
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import org.aspectj.lang.annotation.Aspect;
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||||
import org.aspectj.lang.annotation.Pointcut;
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||||
import org.aspectj.lang.reflect.MethodSignature;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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||||
import org.springframework.core.annotation.AnnotationUtils;
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||||
import org.springframework.core.annotation.Order;
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||||
import org.springframework.stereotype.Component;
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import com.ruoyi.common.annotation.DataSource;
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||||
import com.ruoyi.common.utils.StringUtils;
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||||
import com.ruoyi.framework.datasource.DynamicDataSourceContextHolder;
|
||||
|
||||
/**
|
||||
* 多数据源处理
|
||||
*
|
||||
* @author ruoyi
|
||||
*/
|
||||
@Aspect
|
||||
@Order(1)
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||||
@Component
|
||||
public class DataSourceAspect {
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||||
protected Logger logger = LoggerFactory.getLogger(getClass());
|
||||
|
||||
@Pointcut("@annotation(com.ruoyi.common.annotation.DataSource)"
|
||||
+ "|| @within(com.ruoyi.common.annotation.DataSource)")
|
||||
public void dsPointCut() {
|
||||
|
||||
}
|
||||
|
||||
@Around("dsPointCut()")
|
||||
public Object around(ProceedingJoinPoint point) throws Throwable {
|
||||
DataSource dataSource = getDataSource(point);
|
||||
|
||||
if (StringUtils.isNotNull(dataSource)) {
|
||||
DynamicDataSourceContextHolder.setDataSourceType(dataSource.value().name());
|
||||
}
|
||||
|
||||
try {
|
||||
return point.proceed();
|
||||
} finally {
|
||||
// 销毁数据源 在执行方法之后
|
||||
DynamicDataSourceContextHolder.clearDataSourceType();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取需要切换的数据源
|
||||
*/
|
||||
public DataSource getDataSource(ProceedingJoinPoint point) {
|
||||
MethodSignature signature = (MethodSignature) point.getSignature();
|
||||
DataSource dataSource = AnnotationUtils.findAnnotation(signature.getMethod(), DataSource.class);
|
||||
if (Objects.nonNull(dataSource)) {
|
||||
return dataSource;
|
||||
}
|
||||
|
||||
return AnnotationUtils.findAnnotation(signature.getDeclaringType(), DataSource.class);
|
||||
}
|
||||
}
|
@ -1,19 +0,0 @@
|
||||
package com.ruoyi.common.enums;
|
||||
|
||||
/**
|
||||
* 数据源
|
||||
*
|
||||
* @author ruoyi
|
||||
*/
|
||||
public enum DataSourceType
|
||||
{
|
||||
/**
|
||||
* 主库
|
||||
*/
|
||||
MASTER,
|
||||
|
||||
/**
|
||||
* 从库
|
||||
*/
|
||||
SLAVE
|
||||
}
|
@ -1,24 +0,0 @@
|
||||
package com.ruoyi.framework.datasource;
|
||||
|
||||
import java.util.Map;
|
||||
import javax.sql.DataSource;
|
||||
|
||||
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
|
||||
|
||||
/**
|
||||
* 动态数据源
|
||||
*
|
||||
* @author ruoyi
|
||||
*/
|
||||
public class DynamicDataSource extends AbstractRoutingDataSource {
|
||||
public DynamicDataSource(DataSource defaultTargetDataSource, Map<Object, Object> targetDataSources) {
|
||||
super.setDefaultTargetDataSource(defaultTargetDataSource);
|
||||
super.setTargetDataSources(targetDataSources);
|
||||
super.afterPropertiesSet();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Object determineCurrentLookupKey() {
|
||||
return DynamicDataSourceContextHolder.getDataSourceType();
|
||||
}
|
||||
}
|
@ -1,41 +0,0 @@
|
||||
package com.ruoyi.framework.datasource;
|
||||
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* 数据源切换处理
|
||||
*
|
||||
* @author ruoyi
|
||||
*/
|
||||
public class DynamicDataSourceContextHolder {
|
||||
public static final Logger log = LoggerFactory.getLogger(DynamicDataSourceContextHolder.class);
|
||||
|
||||
/**
|
||||
* 使用ThreadLocal维护变量,ThreadLocal为每个使用该变量的线程提供独立的变量副本,
|
||||
* 所以每一个线程都可以独立地改变自己的副本,而不会影响其它线程所对应的副本。
|
||||
*/
|
||||
private static final ThreadLocal<String> CONTEXT_HOLDER = new ThreadLocal<>();
|
||||
|
||||
/**
|
||||
* 设置数据源的变量
|
||||
*/
|
||||
public static void setDataSourceType(String dsType) {
|
||||
log.info("切换到{}数据源", dsType);
|
||||
CONTEXT_HOLDER.set(dsType);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获得数据源的变量
|
||||
*/
|
||||
public static String getDataSourceType() {
|
||||
return CONTEXT_HOLDER.get();
|
||||
}
|
||||
|
||||
/**
|
||||
* 清空数据源变量
|
||||
*/
|
||||
public static void clearDataSourceType() {
|
||||
CONTEXT_HOLDER.remove();
|
||||
}
|
||||
}
|
@ -1,116 +0,0 @@
|
||||
package com.ruoyi.framework.config;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
import javax.servlet.Filter;
|
||||
import javax.servlet.FilterChain;
|
||||
import javax.servlet.ServletException;
|
||||
import javax.servlet.ServletRequest;
|
||||
import javax.servlet.ServletResponse;
|
||||
import javax.sql.DataSource;
|
||||
|
||||
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
|
||||
import org.springframework.boot.context.properties.ConfigurationProperties;
|
||||
import org.springframework.boot.web.servlet.FilterRegistrationBean;
|
||||
import org.springframework.context.annotation.Bean;
|
||||
import org.springframework.context.annotation.Configuration;
|
||||
import org.springframework.context.annotation.Primary;
|
||||
import com.alibaba.druid.pool.DruidDataSource;
|
||||
import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;
|
||||
import com.alibaba.druid.spring.boot.autoconfigure.properties.DruidStatProperties;
|
||||
import com.alibaba.druid.util.Utils;
|
||||
import com.ruoyi.common.enums.DataSourceType;
|
||||
import com.ruoyi.common.utils.spring.SpringUtils;
|
||||
import com.ruoyi.framework.config.properties.DruidProperties;
|
||||
import com.ruoyi.framework.datasource.DynamicDataSource;
|
||||
|
||||
/**
|
||||
* druid 配置多数据源
|
||||
*
|
||||
* @author ruoyi
|
||||
*/
|
||||
@Configuration
|
||||
public class DruidConfig {
|
||||
@Bean
|
||||
@ConfigurationProperties("spring.datasource.druid.master")
|
||||
public DataSource masterDataSource(DruidProperties druidProperties) {
|
||||
DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
|
||||
return druidProperties.dataSource(dataSource);
|
||||
}
|
||||
|
||||
@Bean
|
||||
@ConfigurationProperties("spring.datasource.druid.slave")
|
||||
@ConditionalOnProperty(prefix = "spring.datasource.druid.slave", name = "enabled", havingValue = "true")
|
||||
public DataSource slaveDataSource(DruidProperties druidProperties) {
|
||||
DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
|
||||
return druidProperties.dataSource(dataSource);
|
||||
}
|
||||
|
||||
@Bean(name = "dynamicDataSource")
|
||||
@Primary
|
||||
public DynamicDataSource dataSource(DataSource masterDataSource) {
|
||||
Map<Object, Object> targetDataSources = new HashMap<>();
|
||||
targetDataSources.put(DataSourceType.MASTER.name(), masterDataSource);
|
||||
setDataSource(targetDataSources, DataSourceType.SLAVE.name(), "slaveDataSource");
|
||||
return new DynamicDataSource(masterDataSource, targetDataSources);
|
||||
}
|
||||
|
||||
/**
|
||||
* 设置数据源
|
||||
*
|
||||
* @param targetDataSources 备选数据源集合
|
||||
* @param sourceName 数据源名称
|
||||
* @param beanName bean名称
|
||||
*/
|
||||
public void setDataSource(Map<Object, Object> targetDataSources, String sourceName, String beanName) {
|
||||
try {
|
||||
DataSource dataSource = SpringUtils.getBean(beanName);
|
||||
targetDataSources.put(sourceName, dataSource);
|
||||
} catch (Exception e) {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 去除监控页面底部的广告
|
||||
*/
|
||||
@SuppressWarnings({"rawtypes", "unchecked"})
|
||||
@Bean
|
||||
@ConditionalOnProperty(name = "spring.datasource.druid.statViewServlet.enabled", havingValue = "true")
|
||||
public FilterRegistrationBean removeDruidFilterRegistrationBean(DruidStatProperties properties) {
|
||||
// 获取web监控页面的参数
|
||||
DruidStatProperties.StatViewServlet config = properties.getStatViewServlet();
|
||||
// 提取common.js的配置路径
|
||||
String pattern = config.getUrlPattern() != null ? config.getUrlPattern() : "/druid/*";
|
||||
String commonJsPattern = pattern.replaceAll("\\*", "js/common.js");
|
||||
final String filePath = "support/http/resources/js/common.js";
|
||||
// 创建filter进行过滤
|
||||
Filter filter = new Filter() {
|
||||
@Override
|
||||
public void init(javax.servlet.FilterConfig filterConfig) throws ServletException {
|
||||
}
|
||||
|
||||
@Override
|
||||
public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain)
|
||||
throws IOException, ServletException {
|
||||
chain.doFilter(request, response);
|
||||
// 重置缓冲区,响应头不会被重置
|
||||
response.resetBuffer();
|
||||
// 获取common.js
|
||||
String text = Utils.readFromResource(filePath);
|
||||
// 正则替换banner, 除去底部的广告信息
|
||||
text = text.replaceAll("<a.*?banner\"></a><br/>", "");
|
||||
text = text.replaceAll("powered.*?shrek.wang</a>", "");
|
||||
response.getWriter().write(text);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void destroy() {
|
||||
}
|
||||
};
|
||||
FilterRegistrationBean registrationBean = new FilterRegistrationBean();
|
||||
registrationBean.setFilter(filter);
|
||||
registrationBean.addUrlPatterns(commonJsPattern);
|
||||
return registrationBean;
|
||||
}
|
||||
}
|
@ -1,37 +0,0 @@
|
||||
# 数据源配置
|
||||
spring:
|
||||
datasource:
|
||||
type: com.alibaba.druid.pool.DruidDataSource
|
||||
driverClassName: com.mysql.cj.jdbc.Driver
|
||||
druid:
|
||||
# 主库数据源
|
||||
master:
|
||||
url: jdbc:mysql://localhost:3306/ry-vue?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8
|
||||
username: root
|
||||
password: password
|
||||
# 从库数据源
|
||||
slave:
|
||||
# 从数据源开关/默认关闭
|
||||
enabled: false
|
||||
url:
|
||||
username:
|
||||
password:
|
||||
# 初始连接数
|
||||
initialSize: 5
|
||||
# 最小连接池数量
|
||||
minIdle: 10
|
||||
# 最大连接池数量
|
||||
maxActive: 20
|
||||
# 配置获取连接等待超时的时间
|
||||
maxWait: 60000
|
||||
# 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
|
||||
timeBetweenEvictionRunsMillis: 60000
|
||||
# 配置一个连接在池中最小生存的时间,单位是毫秒
|
||||
minEvictableIdleTimeMillis: 300000
|
||||
# 配置一个连接在池中最大生存的时间,单位是毫秒
|
||||
maxEvictableIdleTimeMillis: 900000
|
||||
# 配置检测连接是否有效
|
||||
validationQuery: SELECT 1 FROM DUAL
|
||||
testWhileIdle: true
|
||||
testOnBorrow: false
|
||||
testOnReturn: false
|
@ -1,12 +1,38 @@
|
||||
package cn.iocoder.dashboard.framework.datasource.config;
|
||||
|
||||
import cn.iocoder.dashboard.framework.datasource.core.filter.DruidAdRemoveFilter;
|
||||
import com.alibaba.druid.spring.boot.autoconfigure.properties.DruidStatProperties;
|
||||
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
|
||||
import org.springframework.boot.web.servlet.FilterRegistrationBean;
|
||||
import org.springframework.context.annotation.Bean;
|
||||
import org.springframework.context.annotation.Configuration;
|
||||
import org.springframework.transaction.annotation.EnableTransactionManagement;
|
||||
|
||||
/**
|
||||
* 数据库匹配类
|
||||
* 数据库配置类
|
||||
*
|
||||
* @author 芋道源码
|
||||
*/
|
||||
@Configuration
|
||||
@EnableTransactionManagement(proxyTargetClass = true) // 启动事务管理
|
||||
public class DataSourceConfiguration {
|
||||
|
||||
/**
|
||||
* 创建 DruidAdRemoveFilter 过滤器,过滤 common.js 的广告
|
||||
*/
|
||||
@Bean
|
||||
@ConditionalOnProperty(name = "spring.datasource.druid.web-stat-filter.enabled", havingValue = "true")
|
||||
public FilterRegistrationBean<DruidAdRemoveFilter> druidAdRemoveFilterFilter(DruidStatProperties properties) {
|
||||
// 获取 druid web 监控页面的参数
|
||||
DruidStatProperties.StatViewServlet config = properties.getStatViewServlet();
|
||||
// 提取 common.js 的配置路径
|
||||
String pattern = config.getUrlPattern() != null ? config.getUrlPattern() : "/druid/*";
|
||||
String commonJsPattern = pattern.replaceAll("\\*", "js/common.js");
|
||||
// 创建 DruidAdRemoveFilter Bean
|
||||
FilterRegistrationBean<DruidAdRemoveFilter> registrationBean = new FilterRegistrationBean<>();
|
||||
registrationBean.setFilter(new DruidAdRemoveFilter());
|
||||
registrationBean.addUrlPatterns(commonJsPattern);
|
||||
return registrationBean;
|
||||
}
|
||||
|
||||
}
|
||||
|
@ -0,0 +1,22 @@
|
||||
package cn.iocoder.dashboard.framework.datasource.core.enums;
|
||||
|
||||
/**
|
||||
* 对应于多数据源中不同数据源配置
|
||||
*
|
||||
* 通过在方法上,使用 {@link com.baomidou.dynamic.datasource.annotation.DS} 注解,设置使用的数据源。
|
||||
* 注意,默认是 {@link #MASTER} 数据源
|
||||
*
|
||||
* 对应官方文档为 http://dynamic-datasource.com/guide/customize/Annotation.html
|
||||
*/
|
||||
public interface DataSourceEnum {
|
||||
|
||||
/**
|
||||
* 主库,推荐使用 {@link com.baomidou.dynamic.datasource.annotation.Master} 注解
|
||||
*/
|
||||
String MASTER = "master";
|
||||
/**
|
||||
* 从库,推荐使用 {@link com.baomidou.dynamic.datasource.annotation.Slave} 注解
|
||||
*/
|
||||
String SLAVE = "slave";
|
||||
|
||||
}
|
@ -0,0 +1,38 @@
|
||||
package cn.iocoder.dashboard.framework.datasource.core.filter;
|
||||
|
||||
import com.alibaba.druid.util.Utils;
|
||||
import org.springframework.web.filter.OncePerRequestFilter;
|
||||
|
||||
import javax.servlet.FilterChain;
|
||||
import javax.servlet.ServletException;
|
||||
import javax.servlet.http.HttpServletRequest;
|
||||
import javax.servlet.http.HttpServletResponse;
|
||||
import java.io.IOException;
|
||||
|
||||
/**
|
||||
* Druid 底部广告过滤器
|
||||
*
|
||||
* @author 芋道源码
|
||||
*/
|
||||
public class DruidAdRemoveFilter extends OncePerRequestFilter {
|
||||
|
||||
/**
|
||||
* common.js 的路径
|
||||
*/
|
||||
private static final String COMMON_JS_ILE_PATH = "support/http/resources/js/common.js";
|
||||
|
||||
@Override
|
||||
protected void doFilterInternal(HttpServletRequest request, HttpServletResponse response, FilterChain chain)
|
||||
throws ServletException, IOException {
|
||||
chain.doFilter(request, response);
|
||||
// 重置缓冲区,响应头不会被重置
|
||||
response.resetBuffer();
|
||||
// 获取 common.js
|
||||
String text = Utils.readFromResource(COMMON_JS_ILE_PATH);
|
||||
// 正则替换 banner, 除去底部的广告信息
|
||||
text = text.replaceAll("<a.*?banner\"></a><br/>", "");
|
||||
text = text.replaceAll("powered.*?shrek.wang</a>", "");
|
||||
response.getWriter().write(text);
|
||||
}
|
||||
|
||||
}
|
@ -18,11 +18,7 @@ public interface ToolSchemaTableMapper extends BaseMapperX<ToolSchemaTableDO> {
|
||||
.likeIfPresent("table_comment", tableComment));
|
||||
}
|
||||
|
||||
default List<ToolSchemaTableDO> selectListByTableSchema(String tableSchema) {
|
||||
return selectList(new QueryWrapper<ToolSchemaTableDO>().eq("table_schema", tableSchema));
|
||||
}
|
||||
|
||||
default ToolSchemaTableDO selectByTableName1(String tableSchema, String tableName) {
|
||||
default ToolSchemaTableDO selectByTableSchemaAndTableName(String tableSchema, String tableName) {
|
||||
return selectOne(new QueryWrapper<ToolSchemaTableDO>().eq("table_schema",tableSchema)
|
||||
.eq("table_name", tableName));
|
||||
}
|
||||
|
@ -101,10 +101,10 @@ public class ToolCodegenServiceImpl implements ToolCodegenService {
|
||||
|
||||
@Override
|
||||
public Long createCodegen(String tableName) {
|
||||
//获取当前schema
|
||||
// 获取当前schema
|
||||
String tableSchema = codegenProperties.getDbSchemas().iterator().next();
|
||||
// 从数据库中,获得数据库表结构
|
||||
ToolSchemaTableDO schemaTable = schemaTableMapper.selectByTableName1(tableSchema, tableName);
|
||||
ToolSchemaTableDO schemaTable = schemaTableMapper.selectByTableSchemaAndTableName(tableSchema, tableName);
|
||||
List<ToolSchemaColumnDO> schemaColumns = schemaColumnMapper.selectListByTableName(tableSchema, tableName);
|
||||
// 导入
|
||||
return this.createCodegen0(ToolCodegenImportTypeEnum.DB, schemaTable, schemaColumns);
|
||||
|
@ -4,34 +4,56 @@ server:
|
||||
--- #################### 数据库相关配置 ####################
|
||||
|
||||
spring:
|
||||
# 数据源配置项 TODO 多数据源;TODO 监控配置
|
||||
# 数据源配置项
|
||||
autoconfigure:
|
||||
exclude:
|
||||
- com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceAutoConfigure # 排除 Druid 的自动配置,使用 dynamic-datasource-spring-boot-starter 配置多数据源
|
||||
datasource:
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://400-infra.server.iocoder.cn:3306/${spring.datasource.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 3WLiVUBEwTbvAfsh
|
||||
druid:
|
||||
druid: # Druid 【监控】相关的全局配置
|
||||
web-stat-filter:
|
||||
enabled: true
|
||||
stat-view-servlet:
|
||||
enabled: true
|
||||
# 设置白名单,不填则允许所有访问
|
||||
allow:
|
||||
allow: # 设置白名单,不填则允许所有访问
|
||||
url-pattern: /druid/*
|
||||
# 控制台管理用户名和密码
|
||||
login-username:
|
||||
login-username: # 控制台管理用户名和密码
|
||||
login-password:
|
||||
filter:
|
||||
stat:
|
||||
enabled: true
|
||||
# 慢 SQL 记录
|
||||
log-slow-sql: true
|
||||
log-slow-sql: true # 慢 SQL 记录
|
||||
slow-sql-millis: 100
|
||||
merge-sql: true
|
||||
wall:
|
||||
config:
|
||||
multi-statement-allow: true
|
||||
dynamic: # 多数据源配置
|
||||
druid: # Druid 【连接池】相关的全局配置
|
||||
initial-size: 5 # 初始连接数
|
||||
min-idle: 10 # 最小连接池数量
|
||||
max-active: 20 # 最大连接池数量
|
||||
max-wait: 600000 # 配置获取连接等待超时的时间,单位:毫秒
|
||||
time-between-eviction-runs-millis: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位:毫秒
|
||||
min-evictable-idle-time-millis: 300000 # 配置一个连接在池中最小生存的时间,单位:毫秒
|
||||
max-evictable-idle-time-millis: 900000 # 配置一个连接在池中最大生存的时间,单位:毫秒
|
||||
validation-query: SELECT 1 FROM DUAL # 配置检测连接是否有效
|
||||
test-while-idle: true
|
||||
test-on-borrow: false
|
||||
test-on-return: false
|
||||
primary: master
|
||||
datasource:
|
||||
master:
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://400-infra.server.iocoder.cn:3306/${spring.datasource.dynamic.datasource.master.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 3WLiVUBEwTbvAfsh
|
||||
slave: # 模拟从库,可根据自己需要修改 # 模拟从库,可根据自己需要修改
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://400-infra.server.iocoder.cn:3306/${spring.datasource.dynamic.datasource.slave.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 3WLiVUBEwTbvAfsh
|
||||
|
||||
# Redis 配置。Redisson 默认的配置足够使用,一般不需要进行调优
|
||||
redis:
|
||||
@ -77,9 +99,9 @@ apollo:
|
||||
eagerLoad:
|
||||
enabled: true # 设置 Apollo 在日志初始化前生效,可以实现日志的动态级别配置
|
||||
jdbc: # 自定义的 JDBC 配置项,用于数据库的地址
|
||||
url: ${spring.datasource.url}
|
||||
username: ${spring.datasource.username}
|
||||
password: ${spring.datasource.password}
|
||||
url: ${spring.datasource.dynamic.datasource.master.url}
|
||||
username: ${spring.datasource.dynamic.datasource.master.username}
|
||||
password: ${spring.datasource.dynamic.datasource.master.password}
|
||||
|
||||
--- #################### 服务保障相关配置 ####################
|
||||
|
||||
@ -155,7 +177,7 @@ yudao:
|
||||
base-path: http://127.0.0.1:${server.port}${yudao.web.api-prefix}/system/file/get/
|
||||
codegen:
|
||||
base-package: ${yudao.info.base-package}
|
||||
db-schemas: ${spring.datasource.name}
|
||||
db-schemas: ${spring.datasource.dynamic.datasource.master.name}
|
||||
xss:
|
||||
enable: false
|
||||
exclude-urls: # 如下两个 url,仅仅是为了演示,去掉配置也没关系
|
||||
|
@ -4,34 +4,56 @@ server:
|
||||
--- #################### 数据库相关配置 ####################
|
||||
|
||||
spring:
|
||||
# 数据源配置项 TODO 多数据源;TODO 监控配置
|
||||
# 数据源配置项
|
||||
autoconfigure:
|
||||
exclude:
|
||||
- com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceAutoConfigure # 排除 Druid 的自动配置,使用 dynamic-datasource-spring-boot-starter 配置多数据源
|
||||
datasource:
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://127.0.0.1:3306/${spring.datasource.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 123456
|
||||
druid:
|
||||
druid: # Druid 【监控】相关的全局配置
|
||||
web-stat-filter:
|
||||
enabled: true
|
||||
stat-view-servlet:
|
||||
enabled: true
|
||||
# 设置白名单,不填则允许所有访问
|
||||
allow:
|
||||
allow: # 设置白名单,不填则允许所有访问
|
||||
url-pattern: /druid/*
|
||||
# 控制台管理用户名和密码
|
||||
login-username:
|
||||
login-username: # 控制台管理用户名和密码
|
||||
login-password:
|
||||
filter:
|
||||
stat:
|
||||
enabled: true
|
||||
# 慢 SQL 记录
|
||||
log-slow-sql: true
|
||||
log-slow-sql: true # 慢 SQL 记录
|
||||
slow-sql-millis: 100
|
||||
merge-sql: true
|
||||
wall:
|
||||
config:
|
||||
multi-statement-allow: true
|
||||
dynamic: # 多数据源配置
|
||||
druid: # Druid 【连接池】相关的全局配置
|
||||
initial-size: 5 # 初始连接数
|
||||
min-idle: 10 # 最小连接池数量
|
||||
max-active: 20 # 最大连接池数量
|
||||
max-wait: 600000 # 配置获取连接等待超时的时间,单位:毫秒
|
||||
time-between-eviction-runs-millis: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位:毫秒
|
||||
min-evictable-idle-time-millis: 300000 # 配置一个连接在池中最小生存的时间,单位:毫秒
|
||||
max-evictable-idle-time-millis: 900000 # 配置一个连接在池中最大生存的时间,单位:毫秒
|
||||
validation-query: SELECT 1 FROM DUAL # 配置检测连接是否有效
|
||||
test-while-idle: true
|
||||
test-on-borrow: false
|
||||
test-on-return: false
|
||||
primary: master
|
||||
datasource:
|
||||
master:
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://127.0.0.1:3306/${spring.datasource.dynamic.datasource.master.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 123456
|
||||
slave: # 模拟从库,可根据自己需要修改
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://127.0.0.1:3306/${spring.datasource.dynamic.datasource.slave.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 123456
|
||||
|
||||
# Redis 配置。Redisson 默认的配置足够使用,一般不需要进行调优
|
||||
redis:
|
||||
@ -77,9 +99,9 @@ apollo:
|
||||
eagerLoad:
|
||||
enabled: true # 设置 Apollo 在日志初始化前生效,可以实现日志的动态级别配置
|
||||
jdbc: # 自定义的 JDBC 配置项,用于数据库的地址
|
||||
url: ${spring.datasource.url}
|
||||
username: ${spring.datasource.username}
|
||||
password: ${spring.datasource.password}
|
||||
url: ${spring.datasource.dynamic.datasource.master.url}
|
||||
username: ${spring.datasource.dynamic.datasource.master.username}
|
||||
password: ${spring.datasource.dynamic.datasource.master.password}
|
||||
|
||||
--- #################### 服务保障相关配置 ####################
|
||||
|
||||
@ -155,7 +177,7 @@ yudao:
|
||||
base-path: http://127.0.0.1:${server.port}${yudao.web.api-prefix}/system/file/get/
|
||||
codegen:
|
||||
base-package: ${yudao.info.base-package}
|
||||
db-schemas: ${spring.datasource.name}
|
||||
db-schemas: ${spring.datasource.dynamic.datasource.master.name}
|
||||
xss:
|
||||
enable: false
|
||||
exclude-urls: # 如下两个 url,仅仅是为了演示,去掉配置也没关系
|
||||
|
@ -12,7 +12,6 @@ spring:
|
||||
max-file-size: 16MB # 单个文件大小
|
||||
max-request-size: 32MB # 设置总上传的文件大小
|
||||
|
||||
# Jackson 配置项
|
||||
jackson:
|
||||
serialization:
|
||||
write-dates-as-timestamps: true # 设置 Date 的格式,使用时间戳
|
||||
@ -32,3 +31,6 @@ mybatis-plus:
|
||||
logic-not-delete-value: 0 # 逻辑未删除值(默认为 0)
|
||||
mapper-locations: classpath*:mapper/*.xml
|
||||
type-aliases-package: ${yudao.info.base-package}.modules.*.dal.dataobject
|
||||
|
||||
--- #################### 芋道相关配置 ####################
|
||||
|
||||
|
@ -3,7 +3,7 @@ package cn.iocoder.dashboard;
|
||||
import cn.iocoder.dashboard.framework.datasource.config.DataSourceConfiguration;
|
||||
import cn.iocoder.dashboard.framework.mybatis.config.MybatisConfiguration;
|
||||
import cn.iocoder.dashboard.framework.redis.config.RedisConfig;
|
||||
import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceAutoConfigure;
|
||||
import com.baomidou.dynamic.datasource.spring.boot.autoconfigure.DynamicDataSourceAutoConfiguration;
|
||||
import com.baomidou.mybatisplus.autoconfigure.MybatisPlusAutoConfiguration;
|
||||
import org.redisson.spring.starter.RedissonAutoConfiguration;
|
||||
import org.springframework.boot.autoconfigure.data.redis.RedisAutoConfiguration;
|
||||
@ -19,13 +19,14 @@ public class BaseDbAndRedisIntegrationTest {
|
||||
|
||||
@Import({
|
||||
// DB 配置类
|
||||
DynamicDataSourceAutoConfiguration.class, // Dynamic Datasource 配置类
|
||||
DataSourceConfiguration.class, // 自己的 DB 配置类
|
||||
DataSourceAutoConfiguration.class, // Spring DB 自动配置类
|
||||
DataSourceTransactionManagerAutoConfiguration.class, // Spring 事务自动配置类
|
||||
DruidDataSourceAutoConfigure.class, // Druid 自动配置类
|
||||
// MyBatis 配置类
|
||||
MybatisConfiguration.class, // 自己的 MyBatis 配置类
|
||||
MybatisPlusAutoConfiguration.class, // MyBatis 的自动配置类
|
||||
|
||||
// Redis 配置类
|
||||
RedisAutoConfiguration.class, // Spring Redis 自动配置类
|
||||
RedisConfig.class, // 自己的 Redis 配置类
|
||||
|
@ -1,24 +1,12 @@
|
||||
package cn.iocoder.dashboard.modules.tool.dal.mysql.codegen;
|
||||
|
||||
import cn.iocoder.dashboard.BaseDbUnitTest;
|
||||
import cn.iocoder.dashboard.modules.tool.dal.dataobject.codegen.ToolSchemaTableDO;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
import javax.annotation.Resource;
|
||||
import java.util.List;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.assertTrue;
|
||||
|
||||
class ToolInformationSchemaTableMapperTest extends BaseDbUnitTest {
|
||||
|
||||
@Resource
|
||||
private ToolSchemaTableMapper toolInformationSchemaTableMapper;
|
||||
|
||||
@Test
|
||||
public void tstSelectListByTableSchema() {
|
||||
List<ToolSchemaTableDO> tables = toolInformationSchemaTableMapper
|
||||
.selectListByTableSchema("ruoyi-vue-pro");
|
||||
assertTrue(tables.size() > 0);
|
||||
}
|
||||
|
||||
}
|
||||
|
@ -7,12 +7,55 @@ spring:
|
||||
|
||||
spring:
|
||||
# 数据源配置项
|
||||
autoconfigure:
|
||||
exclude:
|
||||
- com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceAutoConfigure # 排除 Druid 的自动配置,使用 dynamic-datasource-spring-boot-starter 配置多数据源
|
||||
datasource:
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://127.0.0.1:3306/${spring.datasource.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 123456
|
||||
druid: # Druid 【监控】相关的全局配置
|
||||
web-stat-filter:
|
||||
enabled: true
|
||||
stat-view-servlet:
|
||||
enabled: true
|
||||
allow: # 设置白名单,不填则允许所有访问
|
||||
url-pattern: /druid/*
|
||||
login-username: # 控制台管理用户名和密码
|
||||
login-password:
|
||||
filter:
|
||||
stat:
|
||||
enabled: true
|
||||
log-slow-sql: true # 慢 SQL 记录
|
||||
slow-sql-millis: 100
|
||||
merge-sql: true
|
||||
wall:
|
||||
config:
|
||||
multi-statement-allow: true
|
||||
dynamic: # 多数据源配置
|
||||
druid: # Druid 【连接池】相关的全局配置
|
||||
initial-size: 5 # 初始连接数
|
||||
min-idle: 10 # 最小连接池数量
|
||||
max-active: 20 # 最大连接池数量
|
||||
max-wait: 600000 # 配置获取连接等待超时的时间,单位:毫秒
|
||||
time-between-eviction-runs-millis: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位:毫秒
|
||||
min-evictable-idle-time-millis: 300000 # 配置一个连接在池中最小生存的时间,单位:毫秒
|
||||
max-evictable-idle-time-millis: 900000 # 配置一个连接在池中最大生存的时间,单位:毫秒
|
||||
validation-query: SELECT 1 FROM DUAL # 配置检测连接是否有效
|
||||
test-while-idle: true
|
||||
test-on-borrow: false
|
||||
test-on-return: false
|
||||
primary: master
|
||||
datasource:
|
||||
master:
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://127.0.0.1:3306/${spring.datasource.dynamic.datasource.master.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 123456
|
||||
slave: # 模拟从库,可根据自己需要修改
|
||||
name: ruoyi-vue-pro
|
||||
url: jdbc:mysql://127.0.0.1:3306/${spring.datasource.dynamic.datasource.slave.name}?useSSL=false&useUnicode=true&characterEncoding=UTF-8&serverTimezone=CTT
|
||||
driver-class-name: com.mysql.jdbc.Driver
|
||||
username: root
|
||||
password: 123456
|
||||
|
||||
# Redis 配置。Redisson 默认的配置足够使用,一般不需要进行调优
|
||||
redis:
|
||||
@ -70,7 +113,7 @@ yudao:
|
||||
base-path: http://127.0.0.1:${server.port}/${yudao.web.api-prefix}/file/get/
|
||||
codegen:
|
||||
base-package: ${yudao.info.base-package}.modules
|
||||
db-schemas: ${spring.datasource.name}
|
||||
db-schemas: ${spring.datasource.dynamic.datasource.master.name}
|
||||
xss:
|
||||
enable: false
|
||||
exclude-urls: # 如下两个 url,仅仅是为了演示,去掉配置也没关系
|
||||
|
Loading…
Reference in New Issue
Block a user