SpringBoot超详细讲解多数据源集成
作者:肥仔哥哥1930
一、多数据源使用场景与弊端
1.场景
- 业务系统跨数据库
- 数据转存(这个现在太low了,应该高级点都不用)
- 系统集成
2.弊端
- 跨库业务事务问题
- service、dao不能重复注入数据源
二、使用步骤
1.引入库
<!-- 多数据源支持 --> <dependency> <groupId>com.baomidou</groupId> <artifactId>dynamic-datasource-spring-boot-starter</artifactId> <version>3.3.6</version> </dependency>
2.多数据源配置文件
#数据源配置
spring:
application:
name: olap
datasource:
dynamic:
primary: target
target:
jdbc-url: jdbc:mysql://192.168.1.101:15051/db1?useUnicode=true&characterEncoding=utf8&useSSL=true&allowPublicKeyRetrieval=true&serverTimezone=GMT%2B8
username: root
password: 123
driver-class-name: com.mysql.jdbc.Driver
source1:
jdbc-url: jdbc:mysql://192.168.102:15052/db2?useUnicode=true&characterEncoding=utf8&useSSL=true&allowPublicKeyRetrieval=true&serverTimezone=GMT%2B8
username: admin
password: 456
driver-class-name: com.mysql.jdbc.Driver
3.多数据源配置类
数据源1
import com.baomidou.mybatisplus.extension.spring.MybatisSqlSessionFactoryBean; import javax.sql.DataSource; import org.apache.ibatis.session.SqlSessionFactory; import org.mybatis.spring.SqlSessionFactoryBean; import org.mybatis.spring.annotation.MapperScan; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.boot.jdbc.DataSourceBuilder; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.core.io.support.PathMatchingResourcePatternResolver; import org.springframework.jdbc.datasource.DataSourceTransactionManager; import org.springframework.transaction.PlatformTransactionManager; @Configuration @MapperScan(basePackages = "com.easylinkin.dc.mapper.source1", sqlSessionFactoryRef = "source1SqlSessionFactory") public class Source1DataSourceConfig { // mapper.xml所在地址 private static final String MAPPER_LOCATION = "classpath*:mapper/business/source1/*.xml"; /** * 数据源 */ @Bean(name = "source1DataSource") @ConfigurationProperties(prefix = "spring.datasource.source1") public DataSource dataSource() { DataSource build = DataSourceBuilder.create().build(); return build; } /** * 事务管理器 */ @Bean(name = "source1TransactionManager") public PlatformTransactionManager dataSourceTransactionManager( @Qualifier("source1DataSource") DataSource dataSource) { return new DataSourceTransactionManager(dataSource); } /** * session工厂 */ @Bean(name = "source1SqlSessionFactory") public SqlSessionFactory sqlSessionFactory(@Qualifier("source1DataSource") DataSource dataSource) throws Exception { /* final SqlSessionFactoryBean sessionFactoryBean = new SqlSessionFactoryBean(); sessionFactoryBean.setDataSource(dataSource); sessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources( Source1DataSourceConfig.MAPPER_LOCATION));*/ //不使用下面这个无法使用mybatis-plus提供的BaseMapper中的方法,需要增加mybatis-plus 的拓展依赖 MybatisSqlSessionFactoryBean bean = new MybatisSqlSessionFactoryBean(); bean.setDataSource(dataSource); //不在这里注入分页插件,会失效 //bean.setPlugins(new PaginationInterceptor[]{new PaginationInterceptor()}); return bean.getObject(); } }
数据源2
import com.baomidou.mybatisplus.extension.spring.MybatisSqlSessionFactoryBean; import javax.sql.DataSource; import org.apache.ibatis.session.SqlSessionFactory; import org.mybatis.spring.SqlSessionFactoryBean; import org.mybatis.spring.annotation.MapperScan; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.boot.jdbc.DataSourceBuilder; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.Primary; import org.springframework.core.io.support.PathMatchingResourcePatternResolver; import org.springframework.jdbc.datasource.DataSourceTransactionManager; import org.springframework.transaction.PlatformTransactionManager; @Configuration @MapperScan(basePackages = "com.easylinkin.dc.mapper.target", sqlSessionFactoryRef = "targetSqlSessionFactory") public class TargetDataSourceConfig { // mapper.xml所在地址 private static final String MAPPER_LOCATION = "classpath*:mapper/business/target/*.xml"; /** * 主数据源,Primary注解必须增加,它表示该数据源为默认数据源 项目中还可能存在其他的数据源,如获取时不指定名称,则默认获取这个数据源,如果不添加,则启动时候回报错 */ @Primary @Bean(name = "targetDataSource") @ConfigurationProperties(prefix = "spring.datasource.target") public DataSource dataSource() { DataSource build = DataSourceBuilder.create().build(); return build; } /** * 事务管理器,Primary注解作用同上 */ @Bean(name = "masterTransactionManager") @Primary public PlatformTransactionManager dataSourceTransactionManager( @Qualifier("targetDataSource") DataSource dataSource) { return new DataSourceTransactionManager(dataSource); } /** * session工厂,Primary注解作用同上 */ @Bean(name = "targetSqlSessionFactory") @Primary public SqlSessionFactory sqlSessionFactory(@Qualifier("targetDataSource") DataSource dataSource) throws Exception { /*final SqlSessionFactoryBean sessionFactoryBean = new SqlSessionFactoryBean(); sessionFactoryBean.setDataSource(dataSource); sessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources( TargetDataSourceConfig.MAPPER_LOCATION)); return sessionFactoryBean.getObject();*/ //不使用下面这个无法使用mybatis-plus提供的BaseMapper中的方法,需要增加mybatis-plus 的拓展依赖 MybatisSqlSessionFactoryBean bean = new MybatisSqlSessionFactoryBean(); bean.setDataSource(dataSource); //不在这里注入分页插件,会失效 //bean.setPlugins(new PaginationInterceptor[]{new PaginationInterceptor()}); return bean.getObject(); } }
- 注意dao一定要在@MapperScan注解设置的包下
- 注意xml文件要在MAPPER_LOCATION=的路径下
- springBoot启动类不要再用@MapperScan注解
- 其他注意配置类的SqlSessionFactory 方法,看注释
4.使用
import com.baomidou.dynamic.datasource.annotation.DS; import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper; import com.baomidou.mybatisplus.core.metadata.IPage; import com.baomidou.mybatisplus.extension.plugins.pagination.Page; import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; import com.easylinkin.dc.common.exceptions.BusinessException; import com.easylinkin.dc.common.utils.io.OutputStreamUtil; import com.easylinkin.dc.mapper.source1.FkRegisterVisitorMapper; import com.easylinkin.dc.business.visitor.entity.FkRegisterVisitor; import com.easylinkin.dc.business.visitor.entity.vo.FkRegisterVisitorVo; import com.easylinkin.dc.business.visitor.service.FkRegisterVisitorService; import lombok.extern.slf4j.Slf4j; import org.apache.commons.lang3.ObjectUtils; import org.apache.commons.lang3.StringUtils; import org.springframework.stereotype.Repository; import org.springframework.stereotype.Service; import org.springframework.transaction.annotation.Transactional; import org.springframework.util.Assert; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import java.io.IOException; import java.io.OutputStream; import java.io.Serializable; import java.util.ArrayList; import java.util.List; /** * FkRegisterVisitor表服务实现类 * * @author CodeGenerator * @date 2022/05/16 */ @DS("source1") @Slf4j @Service("fkRegisterVisitorService") public class FkRegisterVisitorServiceImpl extends ServiceImpl <FkRegisterVisitorMapper, FkRegisterVisitor> implements FkRegisterVisitorService { }
注意是在service的实现类上用@DS(“数据源名称”)注解,数据源名称与配置文件里的datasource下的一致。
注意dao不能再用@DS注解,否在报错
总结
我也是一个怕麻烦的人,所以能有简单的办法,我绝对不用复杂的,多数据源集成就是这么简单,也没啥好总结的,就提醒下:
跨数据源的业务接口要注意事务
@Transactional不生效
其实也有动态切换数据源的方法,我觉得没必要,规规矩矩用service,别把自己整糊了。
好就简单写道这里,up!
到此这篇关于SpringBoot超详细讲解多数据源集成的文章就介绍到这了,更多相关SpringBoot多数据源集成内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!