這次要完成的是從一個數據庫中讀取數據，然后再把數據插入到另一個數據庫中。在同一套項目代碼中要完成這個操作，就不可避免的涉及到了多數據源。本文即介紹在mybatis中完成多數據源的切換相關內容

指定數據源一

@Configuration// 掃描 Mapper 接口并容器管理@MapperScan(basePackages = MasterDataSourceConfig.PACKAGE, sqlSessionFactoryRef = 'masterSqlSessionFactory')public class MasterDataSourceConfig { // 精確到 master 目錄，以便跟其他數據源隔離 static final String PACKAGE = 'com.datareach.kafka.dao.master'; static final String MAPPER_LOCATION = 'classpath:mapper/master/*.xml';//application.yml中的值可以通過@Value注解進行讀取 @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(); }}

數據源一的相關配置

# master 數據源配置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

指定數據源二

@Configuration// 掃描 Mapper 接口并容器管理@MapperScan(basePackages = SecondDataSourceConfig.PACKAGE, sqlSessionFactoryRef = 'secondSqlSessionFactory')public class SecondDataSourceConfig { // 精確到 cluster 目錄，以便跟其他數據源隔離 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(); }}

數據源二的相關配置

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

其實就是實例化了兩個SqlSessionFactory——masterSqlSessionFactory和secondSqlSessionFactory，然后通過注解@MapperScan指定掃描指定的mapper接口時用指定的SqlSessionFactory進行連接構建，從而實現了多數據源。

以上就是本文的全部內容，希望對大家的學習有所幫助，也希望大家多多支持好吧啦網。