Springboot使用druid配置多数据源

最近在一个需要中需要去连接其他的项目的数据库，本来想使用jbdc直接链接下的，反正就是获取数据，但是想想还是算了，正好springboot数据源配置还没有玩过，那么就正好趁这次机会学习并使用下

至于pom文件需要的依赖自然不必多说。直接从yml文件说起

 1 spring:
 2   datasource:
 3     druid:
 4       master:
 5         driver-class-name: com.mysql.cj.jdbc.Driver
 6         url: jdbc:mysql://xxxx:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=false
 7         username: root
 8         password: 111111
 9       slave:
10         url: jdbc:mysql://yyyy:3306/test?useUnicode=true&characherEncoding=utf-8&useSSL=false
11         username: root
12         password: 111111
13         driver-class-name: com.mysql.cj.jdbc.Driver
14       db-type: com.alibaba.druid.pool.DruidDataSource
15       initial-size: 50
16       min-idle: 50
17       max-active: 100
18       max-wait: 60000
19       time-between-eviction-runs-millis: 60000

注意其中加粗的部分：

master表示主数据源，slave表示从数据源。公共的部分可以直接写在druid节点下面。下面需要注意的时候针对不同的数据源需要有不同的配置文件

主数据源的配置类

 1 package com.test;
 2 
 3 import com.alibaba.druid.pool.DruidDataSource;
 4 import org.apache.ibatis.session.SqlSessionFactory;
 5 import org.mybatis.spring.SqlSessionFactoryBean;
 6 import org.mybatis.spring.annotation.MapperScan;
 7 import org.springframework.beans.factory.annotation.Autowired;
 8 import org.springframework.beans.factory.annotation.Value;
 9 import org.springframework.context.annotation.Bean;
10 import org.springframework.context.annotation.Configuration;
11 import org.springframework.context.annotation.Primary;
12 import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
13 import org.springframework.jdbc.datasource.DataSourceTransactionManager;
14 
15 import javax.sql.DataSource;
16 
17 @Configuration
18 // 扫描 Mapper 接口并容器管理
19 @MapperScan(basePackages = MasterDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "masterSqlSessionFactory")
20 public class MasterDataSourceConfig {
21 
22     //mapper接口文件存放的目录 精确到 master 目录，以便跟其他数据源隔离
23     static final String PACKAGE = "com.test.mapper.master";
24     static final String MAPPER_LOCATION = "classpath:mapper/master/*.xml";
25 
26     @Value("${spring.datasource.druid.master.url}")
27     private String url;
28 
29     @Value("${spring.datasource.druid.master.username}")
30     private String user;
31 
32     @Value("${spring.datasource.druid.master.password}")
33     private String password;
34 
35     @Value("${spring.datasource.druid.master.driver-class-name}")
36     private String driverClass;
37 
38     /**
39      * 默认数据源
40      * @return
41      */
43     @Bean
44     @Primary
45     public DataSource masterDataSource() {
46         DruidDataSource dataSource = new DruidDataSource();
47         dataSource.setDriverClassName(driverClass);
48         dataSource.setUrl(url);
49         dataSource.setUsername(user);
50         dataSource.setPassword(password);
51         return dataSource;
52     }
53 
54     //@Bean(name = "masterTransactionManager")
55     @Bean
56     @Primary
57     public DataSourceTransactionManager masterTransactionManager() {
58         return new DataSourceTransactionManager(masterDataSource());
59     }
60 
61    
62     @Bean
63     @Primary
64     public SqlSessionFactory masterSqlSessionFactory(@Autowired DataSource masterDataSource)
65             throws Exception {
66         final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
67         sessionFactory.setDataSource(masterDataSource);
68         sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
69                 .getResources(MasterDataSourceConfig.MAPPER_LOCATION));
70         return sessionFactory.getObject();
71     }
72 }

从数据源的配置类

 1 package com.test;
 2 
 3 import com.alibaba.druid.pool.DruidDataSource;
 4 import org.apache.ibatis.session.SqlSessionFactory;
 5 import org.mybatis.spring.SqlSessionFactoryBean;
 6 import org.mybatis.spring.annotation.MapperScan;
 7 import org.springframework.beans.factory.annotation.Autowired;
 8 import org.springframework.beans.factory.annotation.Value;
 9 import org.springframework.context.annotation.Bean;
10 import org.springframework.context.annotation.Configuration;
11 import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
12 import org.springframework.jdbc.datasource.DataSourceTransactionManager;
13 
14 import javax.sql.DataSource;
15 
16 
17 @Configuration
18 // 扫描 Mapper 接口并容器管理
19 @MapperScan(basePackages = SlaveDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "slaveSqlSessionFactory")
20 public class SlaveDataSourceConfig {
21 
22     //mapper接口文件的存放目录 精确到 slave目录，以便跟其他数据源隔离
23     static final String PACKAGE = "com.test.mapper.slave";
24     static final String MAPPER_LOCATION = "classpath:mapper/slave/*.xml";
25 
26     @Value("${spring.datasource.druid.slave.url}")
27     private String url;
28 
29     @Value("${spring.datasource.druid.slave.username}")
30     private String user;
31 
32     @Value("${spring.datasource.druid.slave.password}")
33     private String password;
34 
35     @Value("${spring.datasource.druid.slave.driver-class-name}")
36     private String driverClass;
37 
38    
39     @Bean
40     public DataSource slaveDataSource() {
41         DruidDataSource dataSource = new DruidDataSource();
42         dataSource.setDriverClassName(driverClass);
43         dataSource.setUrl(url);
44         dataSource.setUsername(user);
45         dataSource.setPassword(password);
46         return dataSource;
47     }
48 
49     
50     @Bean
51     public DataSourceTransactionManager slaveTransactionManager() {
52         return new DataSourceTransactionManager(slaveDataSource());
53     }
54 
55    
56     @Bean
57     public SqlSessionFactory slaveSqlSessionFactory(@Autowired DataSource slaveDataSource)
58             throws Exception {
59         final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
60         sessionFactory.setDataSource(slaveDataSource);
61         sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
62                 .getResources(SlaveDataSourceConfig.MAPPER_LOCATION));
63         return sessionFactory.getObject();
64     }
65 }

总结：上面的配置类的位置是随便放的，方式MappSacan的位置需要注意，数据源扫描哪个mapper目录。那么该mapper目录就默认使用当前是数据源

参考链接：https://zhuanlan.zhihu.com/p/31575567

原文地址：https://www.cnblogs.com/zyzblogs/p/11692601.html