使用springboot+druid双数据源动态配置操作

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我是靠谱客的博主典雅樱桃，最近开发中收集的这篇文章主要介绍使用springboot+druid双数据源动态配置操作，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

一、yml配置

数据源可以都是oracle的也可以一个是oracle一个是mysql的。

spring:
  datasource:
    druid:
      db-type: com.alibaba.druid.pool.DruidDataSource
    #多数据源1:
    zjdb:
      driverClassName: oracle.jdbc.driver.OracleDriver
      url: jdbc:oracle:thin:@XX.XX.XX.XX:1521/ORCL
      username: XXXXXXX
      password: XXX
      # u521Du59CBu5316u8FDEu63A5u5927u5C0F
      initial-size: 5
      # u6700u5C0Fu7A7Au95F2u8FDEu63A5u6570
      min-idle: 5
      max-active: 20
      max-wait: 30000
      # u53EFu5173u95EDu7684u7A7Au95F2u8FDEu63A5u95F4u9694u65F6u95F4
      time-between-eviction-runs-millis: 60000
      # u914Du7F6Eu8FDEu63A5u5728u6C60u4E2Du7684u6700u5C0Fu751Fu5B58u65F6u95F4
      min-evictable-idle-time-millis: 300000
      validation-query: select '1' from dual
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false
      # u6253u5F00PSCacheuFF0Cu5E76u4E14u6307u5B9Au6BCFu4E2Au8FDEu63A5u4E0APSCacheu7684u5927u5C0F
      pool-prepared-statements: true
      max-open-prepared-statements: 20
      max-pool-prepared-statement-per-connection-size: 20
      # u914Du7F6Eu76D1u63A7u7EDFu8BA1u62E6u622Au7684filters
      filters: stat
 
    #多数据源2:
    zjfz:
      driverClassName: oracle.jdbc.driver.OracleDriver
      url: jdbc:oracle:thin:@XX.XX.XX.XX:51521/ORCL
      username: XXXXX
      password: XXXX
#      driverClassName: com.mysql.jdbc.Driver
#      url: jdbc:mysql://127.0.0.1:3306/ketech-dev?serverTimezone=Asia/Shanghai&characterEncoding=utf8&useSSL=false&allowMultiQueries=true&allowPublicKeyRetrieval=true
#      username: root
#      password: 123456
      # u521Du59CBu5316u8FDEu63A5u5927u5C0F
      initial-size: 5
      # u6700u5C0Fu7A7Au95F2u8FDEu63A5u6570
      min-idle: 5
      max-active: 20
      max-wait: 30000
      # u53EFu5173u95EDu7684u7A7Au95F2u8FDEu63A5u95F4u9694u65F6u95F4
      time-between-eviction-runs-millis: 60000
      # u914Du7F6Eu8FDEu63A5u5728u6C60u4E2Du7684u6700u5C0Fu751Fu5B58u65F6u95F4
      min-evictable-idle-time-millis: 300000
      validation-query: select '1' from dual
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false
      # u6253u5F00PSCacheuFF0Cu5E76u4E14u6307u5B9Au6BCFu4E2Au8FDEu63A5u4E0APSCacheu7684u5927u5C0F
      pool-prepared-statements: true
      max-open-prepared-statements: 20
      max-pool-prepared-statement-per-connection-size: 20
      # u914Du7F6Eu76D1u63A7u7EDFu8BA1u62E6u622Au7684filters
      filters: stat
 
      stat-view-servlet:
        url-pattern: /druid/*
        reset-enable: false
        login-username: admin
        login-password: 123456
 
      web-stat-filter:
        url-pattern: /*
        exclusions: "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*"

二、动态切换数据源配置文件

1.数据源db1

package yin.ketech.app.config; 
import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;
import com.baomidou.mybatisplus.extension.spring.MybatisSqlSessionFactoryBean;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionTemplate;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
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.core.io.support.ResourcePatternResolver; 
import javax.sql.DataSource;
 
/**
 * @FileName: ZjDbConfig
 * @Author Yep
 * @create 2020-06-17
 * @Description: 多数据源-1
 */
 
@Configuration
@MapperScan(basePackages = "yin.ketech.app.mapper", sqlSessionFactoryRef = "zjdbSqlSessionFactory")
public class ZjDbConfig {
 
    @Primary
    @Bean(name = "zjdbDataSource")
    @Qualifier("zjdbDataSource")
    @ConfigurationProperties(prefix = "spring.datasource.zjdb")
    public DataSource zjdbDataSource() {
        return DruidDataSourceBuilder.create().build();
    }
 
    @Primary
    @Bean(name = "zjdbSqlSessionFactory")
    @Qualifier("zjdbSqlSessionFactory")
    public SqlSessionFactory zjdbSqlSessionFactory(@Qualifier("zjdbDataSource") DataSource zjdbDataSource) throws Exception {
//        SqlSessionFactoryBean factoryBean = new SqlSessionFactoryBean();
//        factoryBean.setDataSource(zjdbDataSource);
        //解决无法使用自带方法问题
        // TODO 使用 MybatisSqlSessionFactoryBean 而不是 SqlSessionFactoryBean
        MybatisSqlSessionFactoryBean factory = new MybatisSqlSessionFactoryBean();
        factory.setDataSource(zjdbDataSource);
        //添加XML目录
        ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
        try {
            factory.setMapperLocations(resolver.getResources("classpath:/yin/ketech/app/mapper/*/*.xml"));
        } catch (Exception e) {
            e.printStackTrace();
            throw new RuntimeException(e);
        }
        //解决无法使用分页问题
//        factory.setPlugins(new Interceptor[]{new MybatisPlusConfig().paginationInterceptor()});
        //设置Oracle主键自增
        factory.setGlobalConfig(new MybatisPlusConfig().globalConfig());
        return factory.getObject();
    }
 
    @Primary
    @Bean(name = "zjdbSqlSessionTemplate")
    public SqlSessionTemplate zjdbSqlSessionTemplate(@Qualifier("zjdbSqlSessionFactory") SqlSessionFactory zjdbSqlSessionFactory) throws Exception {
        // 使用上面配置的Factory
        SqlSessionTemplate template = new SqlSessionTemplate(zjdbSqlSessionFactory);
        return template;
    }    
}

2.数据源db2

package yin.ketech.app.config; 
import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.SqlSessionTemplate;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
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.core.io.support.ResourcePatternResolver; 
import javax.sql.DataSource;
 
/**
 * @FileName: ZjFzConfig
 * @Author Yep
 * @create 2020-06-17
 * @Description: 多数据源-2
 */
 
@Configuration
@MapperScan(basePackages = "yin.ketech.app.zjfzmapper", sqlSessionFactoryRef = "zjfzSqlSessionFactory")
public class ZjFzConfig { 
 
    @Bean(name = "zjfzDataSource")
    @Qualifier("zjfzDataSource")
    @ConfigurationProperties(prefix = "spring.datasource.zjfz")
    public DataSource zjfzDataSource() {
        return DruidDataSourceBuilder.create().build();
    }
  
    @Bean(name = "zjfzSqlSessionFactory")
    @Qualifier("zjfzSqlSessionFactory")
    public SqlSessionFactory zjfzSqlSessionFactory(@Qualifier("zjfzDataSource") DataSource zjfzDataSource) throws Exception {
        SqlSessionFactoryBean factoryBean = new SqlSessionFactoryBean();
        factoryBean.setDataSource(zjfzDataSource);
        //添加XML目录
        ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
        try {
            factoryBean.setMapperLocations(resolver.getResources("classpath:/yin/ketech/app/mapper/zjfz/mapper/*.xml"));
        } catch (Exception e) {
            e.printStackTrace();
            throw new RuntimeException(e);
        }
        return factoryBean.getObject();
    } 
 
    @Bean(name = "zjfzSqlSessionTemplate")
    public SqlSessionTemplate zjfzSqlSessionTemplate(@Qualifier("zjfzSqlSessionFactory") SqlSessionFactory zjfzSqlSessionFactory) throws Exception {
        // 使用上面配置的Factory
        SqlSessionTemplate template = new SqlSessionTemplate(zjfzSqlSessionFactory);
        return template;
    }
}