讀寫分離的作用是為了緩解寫庫,也就是主庫的壓力,但一定要基于數據一致性的原則,就是保證主從庫之間的數據一定要一致。如果一個方法涉及到寫的邏輯,那么該方法里所有的數據庫操作都要走主庫。
一、環境部署
- 數據庫:MySql
- 2個,一主一從
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (`user_id` bigint(20) NOT NULL COMMENT '用戶id',`user_name` varchar(255) DEFAULT '' COMMENT '用戶名稱',`user_phone` varchar(50) DEFAULT '' COMMENT '用戶手機',`address` varchar(255) DEFAULT '' COMMENT '住址',`weight` int(3) NOT NULL DEFAULT '1' COMMENT '權重,大者優先',`created_at` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '創建時間',`updated_at` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新時間',PRIMARY KEY (`user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;INSERT INTO `user` VALUES ('1196978513958141952', '測試1', '18826334748', '廣州市海珠區', '1', '2019-11-20 10:28:51', '2019-11-22 14:28:26');
INSERT INTO `user` VALUES ('1196978513958141953', '測試2', '18826274230', '廣州市天河區', '2', '2019-11-20 10:29:37', '2019-11-22 14:28:14');
INSERT INTO `user` VALUES ('1196978513958141954', '測試3', '18826273900', '廣州市天河區', '1', '2019-11-20 10:30:19', '2019-11-22 14:28:30');
二、依賴
<dependencies><dependency><groupId>com.alibaba</groupId><artifactId>druid-spring-boot-starter</artifactId><version>1.1.10</version></dependency><dependency><groupId>org.mybatis.spring.boot</groupId><artifactId>mybatis-spring-boot-starter</artifactId><version>1.3.2</version></dependency><dependency><groupId>tk.mybatis</groupId><artifactId>mapper-spring-boot-starter</artifactId><version>2.1.5</version></dependency><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId><version>8.0.16</version></dependency><!-- 動態數據源 所需依賴 ### start--><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-jdbc</artifactId><scope>provided</scope></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-aop</artifactId><scope>provided</scope></dependency><!-- 動態數據源 所需依賴 ### end--><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.4</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-jpa</artifactId></dependency>
</dependencies>
三、application.yml配置主從數據源
server:port: 8001
spring:jackson:date-format: yyyy-MM-dd HH:mm:sstime-zone: GMT+8datasource:type: com.alibaba.druid.pool.DruidDataSourcedriver-class-name: com.mysql.cj.jdbc.Drivermaster:url: jdbc:mysql://127.0.0.1:3307/user?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&failOverReadOnly=false&useSSL=false&zeroDateTimeBehavior=convertToNull&allowMultiQueries=trueusername: rootpassword:slave:url: jdbc:mysql://127.0.0.1:3308/user?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&failOverReadOnly=false&useSSL=false&zeroDateTimeBehavior=convertToNull&allowMultiQueries=trueusername: rootpassword:
四、Config配置
@Getter
public enum DynamicDataSourceEnum {MASTER("master"),SLAVE("slave");private String dataSourceName;DynamicDataSourceEnum(String dataSourceName) {this.dataSourceName = dataSourceName;}
}
@Configuration
@MapperScan(basePackages = "com.xjt.proxy.mapper", sqlSessionTemplateRef = "sqlTemplate")
public class DataSourceConfig{//主庫@Bean@ConfigurationProperties(prefix = "spring.datasource.master")public DataSource masterDb(){return DruidDataSourceBuilder.create().build();}//從庫@Bean@ConditionalOnProperty(prefix = "spring.datasource", name = "slave", matchIfMissing = true)@ConfigurationProperties(prefix = "spring.datasource.slave")public DataSource slaveDb() {return DruidDataSourceBuilder.create().build();}//主從動態配置@Beanpublic DynamicDataSource dynamicDb(@Qualifier("masterDb") DataSource masterDataSource,@Autowired(required = false) @Qualifier("slaveDb") DataSource slaveDataSource){DynamicDataSource dynamicDataSource = new DynamicDataSource();Map<Object,Object> targetDataSources = new HashMap<>();targetDataSources.put(DynamicDataSourceEnum.MASTER.getDataSourceName(), masterDataSource);if(slaveDataSource != null){targetDataSources.put(DynamicDataSourceEnum.SLAVE.getDataSourceName(), slaveDataSource);}dynamicDataSource.setTargetDataSources(targetDataSources);dynamicDataSource.setDefaultTargetDataSource(masterDataSource);return dynamicDataSource;}@Beanpublic SqlSessionFactory sessionFactory(){SqlSessionFactoryBean bean = new SqlSessionFactoryBean();bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath*:mapper/*Mapper.xml"));bean.setDataSource(dynamicDataSource);return bean.getObject();}@Beanpublic SqlSessionTemplate sqlTemplate(){return new SqlSessionTemplate(sqlSessionFactory);}@Bean(name = "dataourceTx")public DataSourceTransactionManager dataSourceTx(){DataSourceTransactionManager dataSourceTransactionManager = new DataSourceTransactionManager();dataSourceTransactionManager.setDataSource(dynamicDataSource);return dataSourceTransactionManager;}
}
五、設置路由
為了方便查找對應的數據源,我們可以用ThreadLocal保存數據源的信息到每個線程中,方便我們需要時獲取
pubic class DataSourceContextHolder{private static final ThreadLocal<String> DYNAMIC_DATASOURCE_CONTEXT = new ThreadLocal<>();public static void set(String datasourceType) {DYNAMIC_DATASOURCE_CONTEXT.set(datasourceType);}public static String get() {return DYNAMIC_DATASOURCE_CONTEXT.get();}public static void clear() {DYNAMIC_DATASOURCE_CONTEXT.remove();}
}
AbstractRoutingDataSource的作用是基于查找key路由到對應的數據源,它內部維護了一組目標數據源,并且做了路由key與目標數據源之間的映射,提供基于key查找數據源的方法。
public class DynamicDataSource extends AbstractRoutingDataSource {@Overrideprotected Object determineCurrentLookupKey() {return DataSourceContextHolder.get();}
}
六、數據源的注解
方便切換數據源,注解中包含數據源對應的枚舉值,默認是主庫
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.METHOD)
@Documented
public @interface DataSourceSelector {DynamicDataSourceEnum value() default DynamicDataSourceEnum.MASTER;boolean clear() default true;
}
七、Aop切換數據源
定義一個aop類,對有注解的方法做切換數據源的操作
@Slf4j
@Aspect
@Order(value = 1)
@Component
public class DataSourceContextAop {@Around("@annotation(com.xjt.proxy.dynamicdatasource.DataSourceSelector)")public Object setDynamicDataSource(ProceedingJoinPoint pjp) throws Throwable {boolean clear = true;try {Method method = this.getMethod(pjp);DataSourceSelector dataSourceImport = method.getAnnotation(DataSourceSelector.class);//獲取注解標注的方法clear = dataSourceImport.clear();DataSourceContextHolder.set(dataSourceImport.value().getDataSourceName());log.info("========數據源切換至:{}", dataSourceImport.value().getDataSourceName());return pjp.proceed();} finally {if (clear) {DataSourceContextHolder.clear();}}}private Method getMethod(JoinPoint pjp) {MethodSignature signature = (MethodSignature)pjp.getSignature();return signature.getMethod();}}
八、測試
寫好Service文件,包含讀取和更新兩個方法
@Service
public class UserService {@Autowiredprivate UserMapper userMapper;@DataSourceSelector(value = DynamicDataSourceEnum.SLAVE)public List<User> listUser() {List<User> users = userMapper.selectAll();return users;}@DataSourceSelector(value = DynamicDataSourceEnum.MASTER)public int update() {User user = new User();user.setUserId(Long.parseLong("1196978513958141952"));user.setUserName("修改后的名字2");return userMapper.updateByPrimaryKeySelective(user);}@DataSourceSelector(value = DynamicDataSourceEnum.SLAVE)public User find() {User user = new User();user.setUserId(Long.parseLong("1196978513958141952"));return userMapper.selectByPrimaryKey(user);}
}
根據方法上的注解可以看出,讀的方法走從庫,更新的方法走主庫,更新的對象是userId為1196978513958141953 的數據
@RunWith(SpringRunner.class)
@SpringBootTest
class UserServiceTest {@AutowiredUserService userService;@Testvoid listUser() {List<User> users = userService.listUser();for (User user : users) {System.out.println(user.getUserId());System.out.println(user.getUserName());System.out.println(user.getUserPhone());}}@Testvoid update() {userService.update();User user = userService.find();System.out.println(user.getUserName());}
}
讀取方法
更新方法
執行之后,比對數據庫就可以發現主從庫都修改了數據,說明我們的讀寫分離是成功的。當然,更新方法可以指向從庫,這樣一來就只會修改到從庫的數據,而不會涉及到主庫。