1. 程式人生 > >Spring Boot + MyBatis + Druid環境下配置多資料來源

Spring Boot + MyBatis + Druid環境下配置多資料來源

專案中採用Spring Boot + MyBatis + Druid的架構,在原資料來源的基礎上需要新增一個新的資料來源。

除錯期間,發現添加了SqlSessionFactoryBean後,原資料來源有一部分欄位無法取值,後發現是application.yml中的配置失效,所以需要在SqlSessionFactoryBean中新增所需配置。

1. 在application.yml下配置兩套資料來源資訊

預設資料來源:

spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driverClassName: com.mysql.jdbc.Driver
    url: jdbc:mysql://192.168.1.10:3306/database1?useUnicode=true&characterEncoding=utf8
    username: root
    password: ****
    initialSize: 1
    minIdle: 3
    maxActive: 20
    # 配置獲取連線等待超時的時間
    maxWait: 60000
    # 配置間隔多久才進行一次檢測,檢測需要關閉的空閒連線,單位是毫秒
    timeBetweenEvictionRunsMillis: 60000
    # 配置一個連線在池中最小生存的時間,單位是毫秒
    minEvictableIdleTimeMillis: 30000
    validationQuery: select 'x'
    testWhileIdle: true
    testOnBorrow: false
    testOnReturn: false

新增資料來源

hana:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driverClassName: com.mysql.jdbc.Driver
    url: jdbc:mysql://192.168.6.12:3306/hana?useUnicode=true&characterEncoding=utf8

    username: root
    password: 1234
    initialSize: 1
    minIdle: 3
    maxActive: 20
    # 配置獲取連線等待超時的時間
    maxWait: 60000
    # 配置間隔多久才進行一次檢測,檢測需要關閉的空閒連線,單位是毫秒
    timeBetweenEvictionRunsMillis: 60000
    # 配置一個連線在池中最小生存的時間,單位是毫秒
    minEvictableIdleTimeMillis: 30000
    validationQuery: select 'x'
    testWhileIdle: true
    testOnBorrow: false
    testOnReturn: false

2. 針對兩個資料來源分別寫配置類DruidDBConfig.java 

要點:

a. basePackages 指定該資料來源對應的MyBatis的Mapper類所在的包,表示指定包名下的資料庫操作使用該資料來源;

@MapperScan(basePackages = {"com.simba.*.dao"}, sqlSessionFactoryRef = "masterSqlSessionFactory ")

b. 定義一個masterSqlSessionFactory bean,並在上述MapperScan中指定

如下程式碼指定了MyBatis的XML Mapping檔案的路徑和MapUnderscoreToCamelCase屬性

        Resource[] resource = new PathMatchingResourcePatternResolver().getResources("classpath:mybatis/**/*Mapper.xml");
        sqlSessionFactoryBean.setMapperLocations(resource);
        org.apache.ibatis.session.Configuration configuration = new org.apache.ibatis.session.Configuration();
        configuration.setMapUnderscoreToCamelCase(true);

它替代了原來application.yml中的配置,注意定了sqlSessionFactory bean 後,如下配置將不再生效,因此相關配置需在sqlSessionFactory 中完成。

#[棄用]因為多資料來源需要,MyBatis配置棄用,具體配置見DruidDBConfig
#mybatis:
#  configuration:
#    map-underscore-to-camel-case: true
#  mapper-locations: mybatis/**/*Mapper.xml
#  typeAliasesPackage: com.simba.**.domain

預設資料來源的配置Bean

@Configuration
@MapperScan(basePackages = {"com.simba.*.dao"}, sqlSessionFactoryRef = "masterSqlSessionFactory")//指定該資料來源相應的MyBatis的Mapper類所在的包
public class DruidDBConfig {
    private Logger logger = LoggerFactory.getLogger(DruidDBConfig.class);
    @Value("${spring.datasource.url}")
    private String dbUrl;

    @Value("${spring.datasource.username}")
    private String username;

    @Value("${spring.datasource.password}")
    private String password;

    @Value("${spring.datasource.driverClassName}")
    private String driverClassName;

    @Value("${spring.datasource.initialSize}")
    private int initialSize;

    @Value("${spring.datasource.minIdle}")
    private int minIdle;

    @Value("${spring.datasource.maxActive}")
    private int maxActive;

    @Value("${spring.datasource.maxWait}")
    private int maxWait;

    @Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
    private int timeBetweenEvictionRunsMillis;

    @Value("${spring.datasource.minEvictableIdleTimeMillis}")
    private int minEvictableIdleTimeMillis;

    @Value("${spring.datasource.validationQuery}")
    private String validationQuery;

    @Value("${spring.datasource.testWhileIdle}")
    private boolean testWhileIdle;

    @Value("${spring.datasource.testOnBorrow}")
    private boolean testOnBorrow;

    @Value("${spring.datasource.testOnReturn}")
    private boolean testOnReturn;

    @Bean(initMethod = "init", destroyMethod = "close")   //宣告其為Bean例項
    @Primary  //在同樣的DataSource中,首先使用被標註的DataSource
    public DataSource dataSource() {
        DruidDataSource datasource = new DruidDataSource();

        datasource.setUrl(this.dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);

        //configuration
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        datasource.setMaxActive(maxActive);
        datasource.setMaxWait(maxWait);
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setValidationQuery(validationQuery);
        datasource.setTestWhileIdle(testWhileIdle);
        datasource.setTestOnBorrow(testOnBorrow);
        datasource.setTestOnReturn(testOnReturn);
        return datasource;
    }


    //建立Session
    @Bean(name="masterSqlSessionFactory")
    @Primary
    public SqlSessionFactory masterSqlSessionFactory(@Qualifier("dataSource") DataSource dataSource) throws Exception{
        final SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
        sqlSessionFactoryBean.setDataSource(dataSource);
        Resource[] resource = new PathMatchingResourcePatternResolver().getResources("classpath:mybatis/**/*Mapper.xml");//MyBatis XML檔案所在路徑
        sqlSessionFactoryBean.setMapperLocations(resource);
        org.apache.ibatis.session.Configuration configuration = new org.apache.ibatis.session.Configuration();
        configuration.setMapUnderscoreToCamelCase(true);
        sqlSessionFactoryBean.setConfiguration(configuration);
        return sqlSessionFactoryBean.getObject();
    }
}

新增資料來源的配置bean

@Configuration
@MapperScan(basePackages = "com.hana.dao", sqlSessionFactoryRef = "hanaSqlSessionFactory")
public class HanaDruidDBConfig {
    private Logger logger = LoggerFactory.getLogger(HanaDruidDBConfig.class);
    @Value("${hana.datasource.url}")
    private String dbUrl;

    @Value("${hana.datasource.username}")
    private String username;

    @Value("${hana.datasource.password}")
    private String password;

    @Value("${hana.datasource.driverClassName}")
    private String driverClassName;

    @Value("${hana.datasource.initialSize}")
    private int initialSize;

    @Value("${hana.datasource.minIdle}")
    private int minIdle;

    @Value("${hana.datasource.maxActive}")
    private int maxActive;

    @Value("${hana.datasource.maxWait}")
    private int maxWait;

    @Value("${hana.datasource.timeBetweenEvictionRunsMillis}")
    private int timeBetweenEvictionRunsMillis;

    @Value("${hana.datasource.minEvictableIdleTimeMillis}")
    private int minEvictableIdleTimeMillis;

    @Value("${hana.datasource.validationQuery}")
    private String validationQuery;

    @Value("${hana.datasource.testWhileIdle}")
    private boolean testWhileIdle;

    @Value("${hana.datasource.testOnBorrow}")
    private boolean testOnBorrow;

    @Value("${hana.datasource.testOnReturn}")
    private boolean testOnReturn;

    @Bean(initMethod = "init", destroyMethod = "close")   //宣告其為Bean例項
    public DataSource hanaDataSource() {
        DruidDataSource datasource = new DruidDataSource();

        datasource.setUrl(this.dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);

        //configuration
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        datasource.setMaxActive(maxActive);
        datasource.setMaxWait(maxWait);
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setValidationQuery(validationQuery);
        datasource.setTestWhileIdle(testWhileIdle);
        datasource.setTestOnBorrow(testOnBorrow);
        datasource.setTestOnReturn(testOnReturn);
        return datasource;
    }


    //建立Session
    @Bean(name="hanaSqlSessionFactory")
    public SqlSessionFactory hanaSqlSessionFactory(@Qualifier("hanaDataSource") DataSource hanaDataSource) throws Exception{
        final SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
        sqlSessionFactoryBean.setDataSource(hanaDataSource);
        /*Resource[] resource = new PathMatchingResourcePatternResolver().getResources(ClusterConfig.MAPPER_LOCATION);
        sqlSessionFactoryBean.setMapperLocations(resource);*/
        return sqlSessionFactoryBean.getObject();
    }
}

這樣就完成了配置,根據MapperScan中所指定的包名,自動選擇相應資料來源進行資料操作。