本篇内容介绍了“SpringBoot整合MybatisPlus配置多数据源增强插件的方法是什么”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！
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。
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。 内置代码生成工具：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。
注意：mapper层和mapper.xml层分别放在不同目录下，以便mybatis扫描加载。
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。
@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
}@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 ;
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。
<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>
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'
mapper层 UserBaseMapper extends BaseMapper<UserBase> 实现层 UserBaseServiceImpl extends ServiceImpl<UserBaseMapper,UserBase> implements UserBaseService 接口层 UserBaseService extends IService<UserBase>
<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。
@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。
“SpringBoot整合MybatisPlus配置多数据源增强插件的方法是什么”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识可以关注亿速云网站，小编将为大家输出更多高质量的实用文章！
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