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  • SpringBoot2 配置多数据源,整合MybatisPlus增强插件

    本文源码:GitHub·点这里 || GitEE·点这里

    一、项目案例简介

    1、多数据简介

    实际的项目中,经常会用到不同的数据库以满足项目的实际需求。随着业务的并发量的不断增加,一个项目使用多个数据库:主从复制、读写分离、分布式数据库等方式,越来越常见。

    2、MybatisPlus简介

    MyBatis-Plus(简称 MP)是一个MyBatis的增强工具,在MyBatis的基础上只做增强不做改变,为简化开发、提高效率而生。

    插件特点

    无代码侵入:只做增强不做改变,引入它不会对现有工程产生影响。
    强大的 CRUD 操作:通过少量配置即可实现单表大部分 CRUD 操作满足各类使用需求。
    支持 Lambda 形式调用:通过 Lambda 表达式,方便的编写各类查询条件。
    支持主键自动生成:可自由配置,解决主键问题。
    内置代码生成器:采用代码或者 Maven 插件可快速生成各层代码。
    内置分页插件:基于 MyBatis 物理分页,开发者无需关心具体操作。
    内置性能分析插件:可输出 Sql 语句以及其执行时间。
    

    二、多数据源案例

    1、项目结构

    注意:mapper层和mapper.xml层分别放在不同目录下,以便mybatis扫描加载。

    2、多数据源配置

    spring:
      # 数据源配置
      datasource:
        type: com.alibaba.druid.pool.DruidDataSource
        admin-data:
          driverClassName: com.mysql.jdbc.Driver
          dbUrl: jdbc:mysql://127.0.0.1:3306/cloud-admin-data?useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false
          username: root
          password: 123
          initialSize: 20
          maxActive: 100
          minIdle: 20
          maxWait: 60000
          poolPreparedStatements: true
          maxPoolPreparedStatementPerConnectionSize: 30
          timeBetweenEvictionRunsMillis: 60000
          minEvictableIdleTimeMillis: 30000
          maxEvictableIdleTimeMillis: 60000
          validationQuery: SELECT 1 FROM DUAL
          testOnBorrow: false
          testOnReturn: false
          testWhileIdle: true
          connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
          filters: stat,wall
        user-data:
          driverClassName: com.mysql.jdbc.Driver
          dbUrl: jdbc:mysql://127.0.0.1:3306/cloud-user-data?useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false
          username: root
          password: 123
          initialSize: 20
          maxActive: 100
          minIdle: 20
          maxWait: 60000
          poolPreparedStatements: true
          maxPoolPreparedStatementPerConnectionSize: 30
          timeBetweenEvictionRunsMillis: 60000
          minEvictableIdleTimeMillis: 30000
          maxEvictableIdleTimeMillis: 60000
          validationQuery: SELECT 1 FROM DUAL
          testOnBorrow: false
          testOnReturn: false
          testWhileIdle: true
          connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
          filters: stat,wall
    

    这里参数的形式是多样的,只需要配置参数扫描即可。

    3、参数扫描类

    @Component
    @ConfigurationProperties(prefix = "spring.datasource.admin-data")
    public class DruidOneParam {
        private String dbUrl;
        private String username;
        private String password;
        private String driverClassName;
        private int initialSize;
        private int maxActive;
        private int minIdle;
        private int maxWait;
        private boolean poolPreparedStatements;
        private int maxPoolPreparedStatementPerConnectionSize;
        private int timeBetweenEvictionRunsMillis;
        private int minEvictableIdleTimeMillis;
        private int maxEvictableIdleTimeMillis;
        private String validationQuery;
        private boolean testWhileIdle;
        private boolean testOnBorrow;
        private boolean testOnReturn;
        private String filters;
        private String connectionProperties;
        // 省略 GET 和 SET
    }
    

    4、配置Druid连接池

    @Configuration
    @MapperScan(basePackages = {"com.data.source.mapper.one"},sqlSessionTemplateRef = "sqlSessionTemplateOne")
    public class DruidOneConfig {
        private static final Logger LOGGER = LoggerFactory.getLogger(DruidOneConfig.class) ;
        @Resource
        private DruidOneParam druidOneParam ;
        @Bean("dataSourceOne")
        public DataSource dataSourceOne () {
            DruidDataSource datasource = new DruidDataSource();
            datasource.setUrl(druidOneParam.getDbUrl());
            datasource.setUsername(druidOneParam.getUsername());
            datasource.setPassword(druidOneParam.getPassword());
            datasource.setDriverClassName(druidOneParam.getDriverClassName());
            datasource.setInitialSize(druidOneParam.getInitialSize());
            datasource.setMinIdle(druidOneParam.getMinIdle());
            datasource.setMaxActive(druidOneParam.getMaxActive());
            datasource.setMaxWait(druidOneParam.getMaxWait());
            datasource.setTimeBetweenEvictionRunsMillis(druidOneParam.getTimeBetweenEvictionRunsMillis());
            datasource.setMinEvictableIdleTimeMillis(druidOneParam.getMinEvictableIdleTimeMillis());
            datasource.setMaxEvictableIdleTimeMillis(druidOneParam.getMaxEvictableIdleTimeMillis());
            datasource.setValidationQuery(druidOneParam.getValidationQuery());
            datasource.setTestWhileIdle(druidOneParam.isTestWhileIdle());
            datasource.setTestOnBorrow(druidOneParam.isTestOnBorrow());
            datasource.setTestOnReturn(druidOneParam.isTestOnReturn());
            datasource.setPoolPreparedStatements(druidOneParam.isPoolPreparedStatements());
            datasource.setMaxPoolPreparedStatementPerConnectionSize(druidOneParam.getMaxPoolPreparedStatementPerConnectionSize());
            try {
                datasource.setFilters(druidOneParam.getFilters());
            } catch (Exception e) {
                LOGGER.error("druid configuration initialization filter", e);
            }
            datasource.setConnectionProperties(druidOneParam.getConnectionProperties());
            return datasource;
        }
        @Bean
        public SqlSessionFactory sqlSessionFactoryOne() throws Exception{
            SqlSessionFactoryBean factory = new SqlSessionFactoryBean();
            ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
            factory.setDataSource(dataSourceOne());
            factory.setMapperLocations(resolver.getResources("classpath*:/dataOneMapper/*.xml"));
            return factory.getObject();
        }
        @Bean(name="transactionManagerOne")
        public DataSourceTransactionManager transactionManagerOne(){
            return  new DataSourceTransactionManager(dataSourceOne());
        }
        @Bean(name = "sqlSessionTemplateOne")
        public SqlSessionTemplate sqlSessionTemplateOne() throws Exception {
            return new SqlSessionTemplate(sqlSessionFactoryOne());
        }
    }
    

    注意事项

    • MapperScan 在指定数据源上配置;
    • SqlSessionFactory 配置扫描的Mapper.xml地址 ;
    • DataSourceTransactionManager 配置该数据源的事务;
    • 两个数据源的配置手法相同,不赘述 ;

    5、操作案例

    • 数据源一:简单查询
    @Service
    public class AdminUserServiceImpl implements AdminUserService {
        @Resource
        private AdminUserMapper adminUserMapper ;
        @Override
        public AdminUser selectByPrimaryKey (Integer id) {
            return adminUserMapper.selectByPrimaryKey(id) ;
        }
    }
    
    • 数据源二:事务操作
    @Service
    public class UserBaseServiceImpl implements UserBaseService {
        @Resource
        private UserBaseMapper userBaseMapper ;
        @Override
        public UserBase selectByPrimaryKey(Integer id) {
            return userBaseMapper.selectByPrimaryKey(id);
        }
        // 使用指定数据源的事务
        @Transactional(value = "transactionManagerTwo")
        @Override
        public void insert(UserBase record) {
            // 这里数据写入失败
            userBaseMapper.insert(record) ;
            // int i = 1/0 ;
        }
    }
    

    注意:这里的需要指定该数据源配置的事务管理器。

    三、MybatisPlus案例

    1、核心依赖

    <dependency>
        <groupId>com.baomidou</groupId>
        <artifactId>mybatis-plus-boot-starter</artifactId>
        <version>3.0.7.1</version>
        <exclusions>
            <exclusion>
                <groupId>com.baomidou</groupId>
                <artifactId>mybatis-plus-generator</artifactId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>com.baomidou</groupId>
        <artifactId>mybatis-plus</artifactId>
        <version>3.0.7.1</version>
    </dependency>
    

    2、配置文件

    mybatis-plus:
      mapper-locations: classpath*:/mapper/*.xml
      typeAliasesPackage: com.digital.market.*.entity
      global-config:
        db-config:
          id-type: AUTO
          field-strategy: NOT_NULL
          logic-delete-value: -1
          logic-not-delete-value: 0
        banner: false
      configuration:
        log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
        map-underscore-to-camel-case: true
        cache-enabled: false
        call-setters-on-nulls: true
        jdbc-type-for-null: 'null'
    

    3、分层配置

    mapper层
    UserBaseMapper extends BaseMapper<UserBase>
    实现层
    UserBaseServiceImpl extends ServiceImpl<UserBaseMapper,UserBase> implements UserBaseService
    接口层
    UserBaseService extends IService<UserBase>
    

    4、mapper.xml文件

    <mapper namespace="com.plus.batis.mapper.UserBaseMapper" >
      <resultMap id="BaseResultMap" type="com.plus.batis.entity.UserBase" >
        <id column="id" property="id" jdbcType="INTEGER" />
        <result column="user_name" property="userName" jdbcType="VARCHAR" />
        <result column="pass_word" property="passWord" jdbcType="VARCHAR" />
        <result column="phone" property="phone" jdbcType="VARCHAR" />
        <result column="email" property="email" jdbcType="VARCHAR" />
        <result column="create_time" property="createTime" jdbcType="TIMESTAMP" />
        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP" />
        <result column="state" property="state" jdbcType="INTEGER" />
      </resultMap>
      <sql id="Base_Column_List" >
        id, user_name, pass_word, phone, email, create_time, update_time, state
      </sql>
      <select id="selectByParam" parameterType="com.plus.batis.entity.QueryParam" resultMap="BaseResultMap">
        select * from hc_user_base
      </select>
    </mapper>
    

    注意事项

    BaseMapper中的方法都已默认实现;这里也可以自定义实现一些自己的方法。

    5、演示接口

    @RestController
    @RequestMapping("/user")
    public class UserBaseController {
        private static final Logger LOGGER = LoggerFactory.getLogger(UserBaseController.class) ;
        @Resource
        private UserBaseService userBaseService ;
        @RequestMapping("/info")
        public UserBase getUserBase (){
            return userBaseService.getById(1) ;
        }
        @RequestMapping("/queryInfo")
        public String queryInfo (){
            UserBase userBase1 = userBaseService.getOne(new QueryWrapper<UserBase>().orderByDesc("create_time")) ;
            LOGGER.info("倒叙取值:{}",userBase1.getUserName());
            Integer count = userBaseService.count() ;
            LOGGER.info("查询总数:{}",count);
            UserBase userBase2 = new UserBase() ;
            userBase2.setId(1);
            userBase2.setUserName("spring");
            boolean resFlag = userBaseService.saveOrUpdate(userBase2) ;
            LOGGER.info("保存更新:{}",resFlag);
            Map<String, Object> listByMap = new HashMap<>() ;
            listByMap.put("state","0") ;
            Collection<UserBase> listMap = userBaseService.listByMap(listByMap) ;
            LOGGER.info("ListByMap查询:{}",listMap);
            boolean removeFlag = userBaseService.removeById(3) ;
            LOGGER.info("删除数据:{}",removeFlag);
            return "success" ;
        }
        @RequestMapping("/queryPage")
        public IPage<UserBase> queryPage (){
            QueryParam param = new QueryParam() ;
            param.setPage(1);
            param.setPageSize(10);
            param.setUserName("cicada");
            param.setState(0);
            return userBaseService.queryPage(param) ;
        }
        @RequestMapping("/pageHelper")
        public PageInfo<UserBase> pageHelper (){
            return userBaseService.pageHelper(new QueryParam()) ;
        }
    }
    

    这里pageHelper方法是使用PageHelper插件自定义的方法。

    四、源代码地址

    GitHub·地址
    https://github.com/cicadasmile/middle-ware-parent
    GitEE·地址
    https://gitee.com/cicadasmile/middle-ware-parent
    

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  • 原文地址:https://www.cnblogs.com/cicada-smile/p/11651788.html
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