Home >Java >javaTutorial >How SpringBoot uses druid to configure multiple data sources
Use spring boot to configure multiple data sources. The data sources are postgresql and mysql
spring boot——2.5.4
##idea——2019
3. Project structure
##The resource directory stores the mapper.xml file and creates a package according to the data source
4. Maven dependency
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-jpa</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <!-- https://mvnrepository.com/artifact/com.alibaba/fastjson --> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>2.0.4</version> </dependency> <!-- https://mvnrepository.com/artifact/com.alibaba/druid-spring-boot-starter --> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.2.11</version> </dependency> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>1.3.2</version> </dependency> <dependency> <groupId>org.postgresql</groupId> <artifactId>postgresql</artifactId> <scope>runtime</scope> </dependency> <!-- MySql驱动 --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency>
5. Yaml configuration file
server: port: 8081 spring: datasource: type: com.alibaba.druid.pool.DruidDataSource druid: web-stat-filter: enabled: true #是否启用StatFilter默认值true url-pattern: /* exclusions: /druid/*,*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico session-stat-enable: true session-stat-max-count: 10 stat-view-servlet: enabled: true #是否启用StatViewServlet默认值true url-pattern: /druid/* reset-enable: true login-username: admin login-password: admin allow: db1: username: postgres password: localhost url: jdbc:postgresql://localhost:5432/test driver-class-name: org.postgresql.Driver initial-size: 5 # 初始化大小 min-idle: 5 # 最小 max-active: 100 # 最大 max-wait: 60000 # 配置获取连接等待超时的时间 validation-query: select version() 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,单位是毫秒 min-evictable-idle-time-millis: 300000 # 指定一个空闲连接最少空闲多久后可被清除,单位是毫秒 filters: config,wall,stat # 配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙 # 通过connectProperties属性来打开mergeSql功能;慢SQL记录 connectionProperties: druid.stat.slowSqlMillis=200;druid.stat.logSlowSql=true;config.decrypt=false test-while-idle: true test-on-borrow: true test-on-return: false # 是否缓存preparedStatement,也就是PSCache 官方建议MySQL下建议关闭 个人建议如果想用SQL防火墙 建议打开 pool-prepared-statements: true max-pool-prepared-statement-per-connection-size: 20 db2: username: root password: localhost url: jdbc:mysql://localhost:3306/springboot?characterEncoding=utf8&useUnicode=true&useSSL=false&serverTimezone=Asia/Shanghai driver-class-name: com.mysql.cj.jdbc.Driver initial-size: 5 # 初始化大小 min-idle: 5 # 最小 max-active: 100 # 最大 max-wait: 60000 # 配置获取连接等待超时的时间 validation-query: select 'x' 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,单位是毫秒 min-evictable-idle-time-millis: 300000 # 指定一个空闲连接最少空闲多久后可被清除,单位是毫秒 filters: config,wall,stat # 配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙 # 通过connectProperties属性来打开mergeSql功能;慢SQL记录 connectionProperties: druid.stat.slowSqlMillis=200;druid.stat.logSlowSql=true;config.decrypt=false test-while-idle: true test-on-borrow: true test-on-return: false # 是否缓存preparedStatement,也就是PSCache 官方建议MySQL下建议关闭 个人建议如果想用SQL防火墙 建议打开 pool-prepared-statements: true max-pool-prepared-statement-per-connection-size: 20 mybatis: mapper-locations: classpath:com/demo/mapper/*.xml type-aliases-package: com.demo.entity configuration: log-impl: mapUnderscoreToCamelCase: true #showSql logging: level: java.sql: debug org.apache.ibatis: debug com.demo.mapper: debug config: classpath:logback-spring.xml6. Data source configuration file
@Configuration @MapperScan(basePackages = "com.demo.mapper.postgre.**", sqlSessionFactoryRef = "oneSqlSessionFactory") public class DataSourceConfig1 { // 将这个对象放入Spring容器中 @Bean(name = "oneDataSource") // 表示这个数据源是默认数据源 @Primary // 读取application.properties中的配置参数映射成为一个对象 // prefix表示参数的前缀 @ConfigurationProperties(prefix = "spring.datasource.druid.db1") public DataSource getDateSource1() { return DataSourceBuilder.create().type(DruidDataSource.class).build(); } @Bean(name = "oneSqlSessionFactory") // 表示这个数据源是默认数据源 @Primary // @Qualifier表示查找Spring容器中名字为oneDataSource的对象 public SqlSessionFactory oneSqlSessionFactory(@Qualifier("oneDataSource") DataSource datasource) throws Exception { SqlSessionFactoryBean bean = new SqlSessionFactoryBean(); bean.setDataSource(datasource); bean.setMapperLocations( // 设置mybatis的xml所在位置 new PathMatchingResourcePatternResolver().getResources("classpath*:com.demo.mapper.postgre/*.xml")); return bean.getObject(); } @Bean("oneSqlSessionTemplate") // 表示这个数据源是默认数据源 @Primary public SqlSessionTemplate oneSqlSessionTemplate( @Qualifier("oneSqlSessionFactory") SqlSessionFactory sessionFactory) { return new SqlSessionTemplate(sessionFactory); } }
@Configuration @MapperScan(basePackages = "com.demo.mapper.mysql", sqlSessionFactoryRef = "twoSqlSessionFactory") public class DataSourceConfig2 { // 将这个对象放入Spring容器中 @Bean(name = "twoDataSource") // 读取application.properties中的配置参数映射成为一个对象 // prefix表示参数的前缀 @ConfigurationProperties(prefix = "spring.datasource.druid.db2") public DataSource getDateSource1() { return DataSourceBuilder.create().type(DruidDataSource.class).build(); } @Bean(name = "twoSqlSessionFactory") // 表示这个数据源是默认数据源 //@Primary // @Qualifier表示查找Spring容器中名字为oneDataSource的对象 public SqlSessionFactory oneSqlSessionFactory(@Qualifier("twoDataSource") DataSource datasource) throws Exception { SqlSessionFactoryBean bean = new SqlSessionFactoryBean(); bean.setDataSource(datasource); bean.setMapperLocations( // 设置mybatis的xml所在位置 new PathMatchingResourcePatternResolver().getResources("classpath*:com.demo.mapper.mysql/*.xml")); return bean.getObject(); } @Bean("twoSqlSessionTemplate") // 表示这个数据源是默认数据源 //@Primary public SqlSessionTemplate oneSqlSessionTemplate( @Qualifier("twoSqlSessionFactory") SqlSessionFactory sessionFactory) { return new SqlSessionTemplate(sessionFactory); } }
@MapperScan("com.demo.mapper") @SpringBootApplication(exclude = {DataSourceAutoConfiguration.class}) public class DemoApplication { public static void main(String[] args) { SpringApplication.run(DemoApplication .class, args); } }
The above is the detailed content of How SpringBoot uses druid to configure multiple data sources. For more information, please follow other related articles on the PHP Chinese website!