首页 > 软件编程 > java > springboot druid mybatis多数据源配置

springboot druid mybatis多数据源配置方式

2023-12-15 16:32:18 作者：VergilOpen

这篇文章主要介绍了springboot druid mybatis多数据源配置方式,具有很好的参考价值,希望对大家有所帮助,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教

springboot druid mybatis多数据源配置

spring boot 在配置时做了很多简化配置的设置，但是简化的配置往往已牺牲一定的定制化，比如在数据源的配置时，spring boot 只提供4种数据库连接池的配置，其中并不支持常用的druid

阅读spring boot DataSourceBuilder 的源码可以发现 spring boot 提供的4种数据源类型并不是我们想要的

private static final String[] DATA_SOURCE_TYPE_NAMES = new String[] {
            "org.apache.tomcat.jdbc.pool.DataSource",
            "com.zaxxer.hikari.HikariDataSource",
            "org.apache.commons.dbcp.BasicDataSource", // deprecated
            "org.apache.commons.dbcp2.BasicDataSource" };

但是 DataSourceBuilder 提供了type方法来自定义DataSource类型

public DataSourceBuilder type(Class<? extends DataSource> type) {
        this.type = type;
        return this;
    }

知道了方法，下面配置就简单许多了

首先是application.properties文件的配置

spring.datasource.sso.url=jdbc:mysql://localhost:3306/sso?useSSL=false
spring.datasource.sso.username=root
spring.datasource.sso.password=root
spring.datasource.sso.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.sso.max-idle=5
spring.datasource.sso.max-wait=10000
spring.datasource.sso.min-idle=1
spring.datasource.sso.initial-size=1
spring.datasource.sso.validation-query=SELECT 1
spring.datasource.sso.test-on-borrow=false
spring.datasource.sso.test-while-idle=true
spring.datasource.sso.time-between-eviction-runs-millis=18800

spring.datasource.message.url=jdbc:mysql://localhost:3306/message?useSSL=false
spring.datasource.message.username=root
spring.datasource.message.password=root
spring.datasource.message.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.message.max-idle=5
spring.datasource.message.max-wait=10000
spring.datasource.message.min-idle=1
spring.datasource.message.initial-size=1
spring.datasource.message.validation-query=SELECT 1
spring.datasource.message.test-on-borrow=false
spring.datasource.message.test-while-idle=true
spring.datasource.message.time-between-eviction-runs-millis=18800

然后是具体的主数据源配置类

@Configuration
@MapperScan(basePackages = {"org.vergil.demo.core.dao.mapper.sso"}, sqlSessionFactoryRef = "ssoSqlSessionFactory")
public class SsoConfig {
    @Bean(name = "ssoDataSource")
    @ConfigurationProperties(prefix = "spring.datasource.sso")
    @Primary
    public DataSource ssoDataSource() {
        //指定使用DruidDataSource
        return DataSourceBuilder.create().type(com.alibaba.druid.pool.DruidDataSource.class).build();
    }

    @Bean(name = "ssoSqlSessionFactory")
    @Primary
    public SqlSessionFactory testSqlSessionFactory(@Qualifier("ssoDataSource") DataSource dataSource) throws Exception {
        SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
        bean.setDataSource(dataSource);
//        bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath:mapper/sso/*.xml"));
        return bean.getObject();
    }

    @Primary
    @Bean(name = "ssoTransactionManager")
    public DataSourceTransactionManager testTransactionManager(@Qualifier("ssoDataSource") DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }

    @Primary
    @Bean(name = "ssoSqlSessionTemplate")
    public SqlSessionTemplate testSqlSessionTemplate(@Qualifier("ssoSqlSessionFactory") SqlSessionFactory sqlSessionFactory) throws Exception {
        return new SqlSessionTemplate(sqlSessionFactory);
    }

_ @ConfigurationProperties(prefix = “spring.datasource.sso”) 引入配置项_

使用如下方式创建DruidDataSource

简化配置

return DataSourceBuilder.create().type(com.alibaba.druid.pool.DruidDataSource.class).build();

第二数据源

@Configuration
@MapperScan(basePackages = {"org.vergil.demo.core.dao.mapper.message"}, sqlSessionFactoryRef = "messageSqlSessionFactory")
public class MessageConfig {
    @Bean(name = "messageDataSource")
    @ConfigurationProperties(prefix = "spring.datasource.message")
    public DataSource messageDataSource() {
        return DataSourceBuilder.create().type(com.alibaba.druid.pool.DruidDataSource.class).build();
    }

    @Bean(name = "messageSqlSessionFactory")
    public SqlSessionFactory testSqlSessionFactory(@Qualifier("messageDataSource") DataSource dataSource) throws Exception {
        SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
        bean.setDataSource(dataSource);
//        bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath:mapper/message/*.xml"));
        return bean.getObject();
    }

    @Bean(name = "messageTransactionManager")
    public DataSourceTransactionManager testTransactionManager(@Qualifier("messageDataSource") DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }

    @Bean(name = "messageSqlSessionTemplate")
    public SqlSessionTemplate testSqlSessionTemplate(@Qualifier("messageSqlSessionFactory") SqlSessionFactory sqlSessionFactory) throws Exception {
        return new SqlSessionTemplate(sqlSessionFactory);
    }
}

数据源配置完毕

每个数据源都会生成自己的sqlSession，相互独立

总结

以上为个人经验，希望能给大家一个参考，也希望大家多多支持脚本之家。

springboot druid mybatis多数据源配置方式