!28 完成多数据源配置

Merge pull request !28 from timfruit/feature/multi-datasource
This commit is contained in:
芋道源码 2021-04-18 22:00:29 +08:00 committed by Gitee
commit 61799385c9
22 changed files with 235 additions and 569 deletions

View File

@ -35,12 +35,12 @@
| | 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 |
| | 岗位管理 | 配置系统用户所属担任职务 |
| | 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 |
| | 通知公告 | 系统通知公告信息发布维护 |
| 🚀 | 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 |
| 🚀 | 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 |
| | 登录日志 | 系统登录日志记录查询包含登录异常 |
| | 通知公告 | 系统通知公告信息发布维护 |
计划新增功能:
* 短信
* 邮件
* 钉钉、飞书等通知
@ -87,14 +87,15 @@
## 技术栈
**后端**
### 后端
| 框架 | 说明 | 版本 | 学习指南 |
| --- | --- | --- | --- |
| [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) |
| [MySQL](https://www.mysql.com/cn/) | 数据库服务器 | 5.7 | |
| [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) |
| [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) |
| [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) |
| [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) |
| [Redis](https://redis.io/) | key-value 数据库 | 5.0 | |
| [Redisson](https://github.com/redisson/redisson) | Redis 客户端 | 3.1.46 | [文档](http://www.iocoder.cn/Spring-Boot/Redis/?yudao) |
| [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) |
@ -111,7 +112,7 @@
| [JUnit](https://junit.org/junit5/) | Java 单元测试框架 | 5.7.0 | - |
| [Mockito](https://github.com/mockito/mockito) | Java Mock 框架 | 3.6.28 | - |
**前端**
### 前端
| 框架 | 说明 | 版本 |
| --- | --- | --- |

View File

@ -30,6 +30,7 @@
<mysql-connector-java.version>5.1.46</mysql-connector-java.version>
<druid.version>1.2.4</druid.version>
<mybatis-plus.version>3.4.2</mybatis-plus.version>
<dynamic-datasource.version>3.3.2</dynamic-datasource.version>
<redisson.version>3.15.1</redisson.version>
<!-- Config 配置中心相关 -->
<apollo.version>1.7.0</apollo.version>
@ -139,6 +140,11 @@
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>${mybatis-plus.version}</version>
</dependency>
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>dynamic-datasource-spring-boot-starter</artifactId> <!-- 多数据源 -->
<version>${dynamic-datasource.version}</version>
</dependency>
<dependency>
<groupId>org.redisson</groupId>

View File

@ -1,27 +0,0 @@
package com.ruoyi.common.annotation;
import java.lang.annotation.Documented;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
/**
* 数据权限过滤注解
*
* @author ruoyi
*/
@Target(ElementType.METHOD)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface DataScope {
/**
* 部门表的别名
*/
public String deptAlias() default "";
/**
* 用户表的别名
*/
public String userAlias() default "";
}

View File

@ -1,145 +0,0 @@
package com.ruoyi.framework.aspectj;
import java.lang.reflect.Method;
import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.Signature;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Before;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.stereotype.Component;
import com.ruoyi.common.annotation.DataScope;
import com.ruoyi.common.core.domain.BaseEntity;
import com.ruoyi.common.core.domain.entity.SysRole;
import com.ruoyi.common.core.domain.entity.SysUser;
import com.ruoyi.common.core.domain.model.LoginUser;
import com.ruoyi.common.utils.ServletUtils;
import com.ruoyi.common.utils.StringUtils;
import com.ruoyi.common.utils.spring.SpringUtils;
import com.ruoyi.framework.web.service.TokenService;
/**
* 数据过滤处理
*
* @author ruoyi
*/
@Aspect
@Component
public class DataScopeAspect {
/**
* 全部数据权限
*/
public static final String DATA_SCOPE_ALL = "1";
/**
* 自定数据权限
*/
public static final String DATA_SCOPE_CUSTOM = "2";
/**
* 部门数据权限
*/
public static final String DATA_SCOPE_DEPT = "3";
/**
* 部门及以下数据权限
*/
public static final String DATA_SCOPE_DEPT_AND_CHILD = "4";
/**
* 仅本人数据权限
*/
public static final String DATA_SCOPE_SELF = "5";
/**
* 数据权限过滤关键字
*/
public static final String DATA_SCOPE = "dataScope";
// 配置织入点
@Pointcut("@annotation(com.ruoyi.common.annotation.DataScope)")
public void dataScopePointCut() {
}
@Before("dataScopePointCut()")
public void doBefore(JoinPoint point) throws Throwable {
handleDataScope(point);
}
protected void handleDataScope(final JoinPoint joinPoint) {
// 获得注解
DataScope controllerDataScope = getAnnotationLog(joinPoint);
if (controllerDataScope == null) {
return;
}
// 获取当前的用户
LoginUser loginUser = SpringUtils.getBean(TokenService.class).getLoginUser(ServletUtils.getRequest());
if (StringUtils.isNotNull(loginUser)) {
SysUser currentUser = loginUser.getUser();
// 如果是超级管理员则不过滤数据
if (StringUtils.isNotNull(currentUser) && !currentUser.isAdmin()) {
dataScopeFilter(joinPoint, currentUser, controllerDataScope.deptAlias(),
controllerDataScope.userAlias());
}
}
}
/**
* 数据范围过滤
*
* @param joinPoint 切点
* @param user 用户
* @param userAlias 别名
*/
public static void dataScopeFilter(JoinPoint joinPoint, SysUser user, String deptAlias, String userAlias) {
StringBuilder sqlString = new StringBuilder();
for (SysRole role : user.getRoles()) {
String dataScope = role.getDataScope();
if (DATA_SCOPE_ALL.equals(dataScope)) {
sqlString = new StringBuilder();
break;
} else if (DATA_SCOPE_CUSTOM.equals(dataScope)) {
sqlString.append(StringUtils.format(
" OR {}.dept_id IN ( SELECT dept_id FROM sys_role_dept WHERE role_id = {} ) ", deptAlias,
role.getRoleId()));
} else if (DATA_SCOPE_DEPT.equals(dataScope)) {
sqlString.append(StringUtils.format(" OR {}.dept_id = {} ", deptAlias, user.getDeptId()));
} else if (DATA_SCOPE_DEPT_AND_CHILD.equals(dataScope)) {
sqlString.append(StringUtils.format(
" OR {}.dept_id IN ( SELECT dept_id FROM sys_dept WHERE dept_id = {} or find_in_set( {} , ancestors ) )",
deptAlias, user.getDeptId(), user.getDeptId()));
} else if (DATA_SCOPE_SELF.equals(dataScope)) {
if (StringUtils.isNotBlank(userAlias)) {
sqlString.append(StringUtils.format(" OR {}.user_id = {} ", userAlias, user.getUserId()));
} else {
// 数据权限为仅本人且没有userAlias别名不查询任何数据
sqlString.append(" OR 1=0 ");
}
}
}
if (StringUtils.isNotBlank(sqlString.toString())) {
Object params = joinPoint.getArgs()[0];
if (StringUtils.isNotNull(params) && params instanceof BaseEntity) {
BaseEntity baseEntity = (BaseEntity) params;
baseEntity.getParams().put(DATA_SCOPE, " AND (" + sqlString.substring(4) + ")");
}
}
}
/**
* 是否存在注解如果存在就获取
*/
private DataScope getAnnotationLog(JoinPoint joinPoint) {
Signature signature = joinPoint.getSignature();
MethodSignature methodSignature = (MethodSignature) signature;
Method method = methodSignature.getMethod();
if (method != null) {
return method.getAnnotation(DataScope.class);
}
return null;
}
}

View File

@ -1,28 +0,0 @@
package com.ruoyi.common.annotation;
import java.lang.annotation.Documented;
import java.lang.annotation.ElementType;
import java.lang.annotation.Inherited;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
import com.ruoyi.common.enums.DataSourceType;
/**
* 自定义多数据源切换注解
* <p>
* 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
*
* @author ruoyi
*/
@Target({ElementType.METHOD, ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Inherited
public @interface DataSource {
/**
* 切换数据源名称
*/
public DataSourceType value() default DataSourceType.MASTER;
}

View File

@ -1,64 +0,0 @@
package com.ruoyi.framework.aspectj;
import java.util.Objects;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.core.annotation.AnnotationUtils;
import org.springframework.core.annotation.Order;
import org.springframework.stereotype.Component;
import com.ruoyi.common.annotation.DataSource;
import com.ruoyi.common.utils.StringUtils;
import com.ruoyi.framework.datasource.DynamicDataSourceContextHolder;
/**
* 多数据源处理
*
* @author ruoyi
*/
@Aspect
@Order(1)
@Component
public class DataSourceAspect {
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);
}
}

View File

@ -1,19 +0,0 @@
package com.ruoyi.common.enums;
/**
* 数据源
*
* @author ruoyi
*/
public enum DataSourceType
{
/**
* 主库
*/
MASTER,
/**
* 从库
*/
SLAVE
}

View File

@ -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();
}
}

View File

@ -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();
}
}

View File

@ -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;
}
}

View File

@ -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

View File

@ -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;
}
}

View File

@ -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";
}

View File

@ -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);
}
}

View File

@ -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));
}

View File

@ -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);

View File

@ -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

View File

@ -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

View File

@ -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 ####################

View File

@ -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

View File

@ -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);
}
}

View File

@ -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