Mybatis多数据源切换实现代码
作者：ayueC
这篇文章主要介绍了Mybatis多数据源切换实现代码,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
这次要完成的是从一个数据库中读取数据，然后再把数据插入到另一个数据库中。在同一套项目代码中要完成这个操作，就不可避免的涉及到了多数据源。本文即介绍在mybatis中完成多数据源的切换相关内容
指定数据源一
@Configuration
// 扫描 Mapper 接口并容器管理
@MapperScan(basePackages = MasterDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "masterSqlSessionFactory")
public class MasterDataSourceConfig {
// 精确到 master 目录，以便跟其他数据源隔离
static final String PACKAGE = "com.datareach.kafka.dao.master";
static final String MAPPER_LOCATION = "classpath:mapper/master/*.xml";
//application.yml中的值可以通过@Value注解进行读取
@Value("${master.datasource.url}")
private String url;
@Value("${master.datasource.username}")
private String user;
@Value("${master.datasource.password}")
private String password;
@Value("${master.datasource.driver-class-name}")
private String driverClass;
@Bean(name = "masterDataSource")
@Primary
public DataSource masterDataSource() {
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName(driverClass);
dataSource.setUrl(url);
dataSource.setUsername(user);
dataSource.setPassword(password);
return dataSource;
}
@Bean(name = "masterTransactionManager")
@Primary
public DataSourceTransactionManager masterTransactionManager() {
return new DataSourceTransactionManager(masterDataSource());
}
@Bean(name = "masterSqlSessionFactory")
@Primary
public SqlSessionFactory masterSqlSessionFactory(@Qualifier("masterDataSource") DataSource masterDataSource)
throws Exception {
final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
sessionFactory.setDataSource(masterDataSource);
sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
.getResources(MasterDataSourceConfig.MAPPER_LOCATION));
return sessionFactory.getObject();
}
}
数据源一的相关配置
# master 数据源配置 master: datasource: url: jdbc:postgresql://localhost:5432/postgres?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8 driver-class-name: org.postgresql.Driver username: product password: initial-size: 1 min-idle: 1 max-active: 20 test-on-borrow: true max-wait: 60000 time-between-eviction-runs-millis: 60000 min-evictable-idle-time-millis: 300000 validation-query: SELECT 1 FROM DUAL test-While-Idle: true test-on-return: false pool-prepared-statements: false max-pool-prepared-statement-per-connection-size: 20 filters: stat,wall,log4j,config
指定数据源二
@Configuration
// 扫描 Mapper 接口并容器管理
@MapperScan(basePackages = SecondDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "secondSqlSessionFactory")
public class SecondDataSourceConfig {
// 精确到 cluster 目录，以便跟其他数据源隔离
static final String PACKAGE = "com.datareach.kafka.dao.secondary";
static final String MAPPER_LOCATION = "classpath:mapper/secondary/*.xml";
@Value("${second.datasource.url}")
private String url;
@Value("${second.datasource.username}")
private String user;
@Value("${second.datasource.password}")
private String password;
@Value("${second.datasource.driver-class-name}")
private String driverClass;
@Bean(name = "secondDataSource")
public DataSource clusterDataSource() {
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName(driverClass);
dataSource.setUrl(url);
dataSource.setUsername(user);
dataSource.setPassword(password);
return dataSource;
}
@Bean(name = "secondTransactionManager")
public DataSourceTransactionManager clusterTransactionManager() {
return new DataSourceTransactionManager(clusterDataSource());
}
@Bean(name = "secondSqlSessionFactory")
public SqlSessionFactory clusterSqlSessionFactory(@Qualifier("secondDataSource") DataSource clusterDataSource)
throws Exception {
final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
sessionFactory.setDataSource(clusterDataSource);
sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
.getResources(SecondDataSourceConfig.MAPPER_LOCATION));
return sessionFactory.getObject();
}
}
数据源二的相关配置
second: datasource: url: jdbc:mysql://localhost:40000/PG_Data?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8 username: root password: driver-class-name: com.mysql.jdbc.Driver max-idle: 10 max-wait: 10000 min-idle: 5 initial-size: 5
其实就是实例化了两个SqlSessionFactory——masterSqlSessionFactory和secondSqlSessionFactory，然后通过注解@MapperScan指定扫描指定的mapper接口时用指定的SqlSessionFactory进行连接构建，从而实现了多数据源。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。