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前面我们已经介绍过了对MyBatis、Druid的整合,接下来我们在之前的基础上做扩展,实现对Druid多数据源的配置以及动态切换数据源。
问题:多数据源使用场景有哪些呢?
回答:在业务发展中,数据的不断增长,会有读写分离的需求,以及按业务模块分库的需求,这样我们的数据源会越来越多,在项目中就有了在各个数据源之间来回切换的场景。
实践如何配置Druid多数据源并实现动态切换首先是启动类的改造,在@SpringBootApplication注解后加上exclude = { DataSourceAutoConfiguration.class }
@SpringBootApplication(exclude = { DataSourceAutoConfiguration.class })yml配置文件,druid配置中,加入两个数据库,分别命名为master、slave
# MyBatis配置mybatis: # 搜索指定包别名 typeAliasesPackage: com.zhlab.demo.model # 配置mapper的扫描,找到所有的mapper.xml映射文件 mapperLocations: classpath:mapper/*Mapper.xml # 加载全局的配置文件 configLocation: classpath:mybatis/mybatis-config.xmlspring: ## 数据库配置 datasource: type: com.alibaba.druid.pool.DruidDataSource driver-class-name: com.mysql.cj.jdbc.Driver druid: master: url: jdbc:mysql://localhost:3306/demo?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8 username: root password: root slave: enabled: true url: jdbc:mysql://localhost:3306/demo2?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8 username: root password: root//...后边省略和之前一样创建com.zhlab.demo.db包,并创建DataSourceType.java枚举类,存放所有数据源的名称
package com.zhlab.demo.db;/** * @ClassName DataSourceType * @Description //DataSourceType 数据源类型 * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/11/2 0002 下午 2:41 **/public enum DataSourceType{ /** * master */ MASTER, /** * slave */ SLAVE}创建com.zhlab.demo.config.properties包,并创建DruidProperties.java类,用来获取连接池属性,并设置到数据源中
package com.zhlab.demo.config.properties;import com.alibaba.druid.pool.DruidDataSource;import org.springframework.beans.factory.annotation.Value;import org.springframework.context.annotation.Configuration;/** * @ClassName DruidProperties * @Description //DruidProperties * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/11/2 0002 下午 2:44 **/@Configurationpublic class DruidProperties { @Value("${spring.datasource.druid.initialSize}") private int initialSize; @Value("${spring.datasource.druid.minIdle}") private int minIdle; @Value("${spring.datasource.druid.maxActive}") private int maxActive; @Value("${spring.datasource.druid.maxWait}") private int maxWait; @Value("${spring.datasource.druid.timeBetweenEvictionRunsMillis}") private int timeBetweenEvictionRunsMillis; @Value("${spring.datasource.druid.minEvictableIdleTimeMillis}") private int minEvictableIdleTimeMillis; @Value("${spring.datasource.druid.maxEvictableIdleTimeMillis}") private int maxEvictableIdleTimeMillis; @Value("${spring.datasource.druid.validationQuery}") private String validationQuery; @Value("${spring.datasource.druid.testWhileIdle}") private boolean testWhileIdle; @Value("${spring.datasource.druid.testOnBorrow}") private boolean testOnBorrow; @Value("${spring.datasource.druid.testOnReturn}") private boolean testOnReturn; /** * 连接池属性设置 * */ public DruidDataSource dataSource(DruidDataSource datasource) { datasource.setInitialSize(initialSize); datasource.setMaxActive(maxActive); datasource.setMinIdle(minIdle); datasource.setMaxWait(maxWait); datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis); datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis); datasource.setMaxEvictableIdleTimeMillis(maxEvictableIdleTimeMillis); datasource.setValidationQuery(validationQuery); datasource.setTestWhileIdle(testWhileIdle); datasource.setTestOnBorrow(testOnBorrow); datasource.setTestOnReturn(testOnReturn); return datasource; }}接着配置MybatisConfig.java和DruidConfig.java两个配置类
MybatisConfig
package com.zhlab.demo.config;import org.apache.ibatis.io.VFS;import org.apache.ibatis.session.SqlSessionFactory;import org.mybatis.spring.SqlSessionFactoryBean;import org.mybatis.spring.annotation.MapperScan;import org.mybatis.spring.boot.autoconfigure.SpringBootVFS;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.env.Environment;import org.springframework.core.io.DefaultResourceLoader;import org.springframework.core.io.support.PathMatchingResourcePatternResolver;import javax.sql.DataSource;/** * @ClassName MybatisConfig * @Description //MybatisConfig配置类 * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/10/31 0031 上午 9:37 **/@Configuration@MapperScan("com.zhlab.demo.mapper") //mapperpublic class MybatisConfig { @Autowired private Environment env; @Bean public SqlSessionFactory sqlSessionFactory(DataSource dataSource) throws Exception { String mapperLocations = env.getProperty("mybatis.mapperLocations"); String configLocation = env.getProperty("mybatis.configLocation"); VFS.addImplClass(SpringBootVFS.class); final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean(); sessionFactory.setDataSource(dataSource); sessionFactory.setTypeAliasesPackage("com.zhlab.demo.model"); sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(mapperLocations)); sessionFactory.setConfigLocation(new DefaultResourceLoader().getResource(configLocation)); return sessionFactory.getObject(); }}
DruidConfig
package com.zhlab.demo.config;import com.alibaba.druid.pool.DruidDataSource;import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;import com.zhlab.demo.config.properties.DruidProperties;import com.zhlab.demo.db.DataSourceType;import com.zhlab.demo.db.datasource.DynamicDataSource;import com.zhlab.demo.utils.SpringUtil;import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;import org.springframework.boot.context.properties.ConfigurationProperties;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.context.annotation.Primary;import javax.sql.DataSource;import java.util.HashMap;import java.util.Map;/** * @ClassName DruidConfig * @Description //DruidConfig配置类 * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/11/2 0002 下午 2:08 **/@Configurationpublic class DruidConfig { /** * master数据源 * */ @Bean @ConfigurationProperties("spring.datasource.druid.master") public DataSource masterDataSource(DruidProperties druidProperties) { DruidDataSource dataSource = DruidDataSourceBuilder.create().build(); return druidProperties.dataSource(dataSource); } /** * slave数据源 * */ @Bean @ConfigurationProperties("spring.datasource.druid.slave") @ConditionalOnProperty(prefix = "spring.datasource.druid.slave", name = "enabled", havingValue = "true") public DataSource slaveDataSource(DruidProperties druidProperties) { DruidDataSource dataSource = DruidDataSourceBuilder.create().build(); return druidProperties.dataSource(dataSource); } @Bean(name = "dynamicDataSource") @Primary public DynamicDataSource dataSource(DataSource masterDataSource) { Map<Object, Object> targetDataSources = new HashMap<>(); targetDataSources.put(DataSourceType.MASTER.name(), masterDataSource); //设置备用 setDataSource(targetDataSources, DataSourceType.SLAVE.name(), "slaveDataSource"); return new DynamicDataSource(masterDataSource, targetDataSources); } /** * 设置数据源 * * @param targetDataSources 备选数据源集合 * @param sourceName 数据源名称 * @param beanName bean名称 */ public void setDataSource(Map<Object, Object> targetDataSources, String sourceName, String beanName) { try { DataSource dataSource = SpringUtil.getBean(beanName); targetDataSources.put(sourceName, dataSource); } catch (Exception e) { e.printStackTrace(); } }}配置信息完成后,需要加入动态数据源支持,创建com.zhlab.demo.db.datasource包,并创建
DynamicDataSource类,继承AbstractRoutingDataSource,这个抽象类有两个成员变量需要我们了解一下
targetDataSources:保存了key和数据库连接的映射关系defaultTargetDataSource:表示默认的数据库连接package com.zhlab.demo.db.datasource;import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;import javax.sql.DataSource;import java.util.Map;/** * @ClassName DynamicDataSource * @Description //DynamicDataSource * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/11/2 0002 下午 2:22 **/public class DynamicDataSource extends AbstractRoutingDataSource{ public DynamicDataSource(DataSource defaultTargetDataSource, Map<Object, Object> targetDataSources) { super.setDefaultTargetDataSource(defaultTargetDataSource); super.setTargetDataSources(targetDataSources); super.afterPropertiesSet(); } @Override protected Object determineCurrentLookupKey() { return DynamicDataSourceHelper.getDataSourceType(); }}
上述类中,重写了determineCurrentLookupKey()函数,我们看一下它在抽象类中是如何被使用的
protected DataSource determineTargetDataSource() { Assert.notNull(this.resolvedDataSources, "DataSource router not initialized"); Object lookupKey = this.determineCurrentLookupKey(); DataSource dataSource = (DataSource)this.resolvedDataSources.get(lookupKey); if (dataSource == null && (this.lenientFallback || lookupKey == null)) { dataSource = this.resolvedDefaultDataSource; } if (dataSource == null) { throw new IllegalStateException("Cannot determine target DataSource for lookup key [" + lookupKey + "]"); } else { return dataSource; } }
所以,我们需要在determineCurrentLookupKey()方法中返回一个数据源的标志即可,即
@Override protected Object determineCurrentLookupKey() { return DynamicDataSourceHelper.getDataSourceType(); }我们还需要创建一个自定义的DynamicDataSourceHelper类,来操作数据源的设置、获取和清除
package com.zhlab.demo.db.datasource;/** * @ClassName DynamicDataSource * @Description //数据源切换处理 * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/11/2 0002 下午 2:22 **/public class DynamicDataSourceHelper{ private static final ThreadLocal<String> CONTEXT_HOLDER = new ThreadLocal<>(); /** * 设置数据源的变量 */ public static void setDataSourceType(String dsType) { CONTEXT_HOLDER.set(dsType); } /** * 获得数据源的变量 */ public static String getDataSourceType() { return CONTEXT_HOLDER.get(); } /** * 清空数据源变量 */ public static void clearDataSourceType() {CONTEXT_HOLDER.remove();}}实现动态切换,通过注解来简化业务层的数据源切换,创建com.zhlab.demo.db.annotation包,并创建注解DataSource.java
package com.zhlab.demo.db.annotation;import com.zhlab.demo.db.DataSourceType;import java.lang.annotation.*;/** * 自定义多数据源切换注解 * 在这里切换数据源名称 * */@Target({ ElementType.METHOD, ElementType.TYPE })@Retention(RetentionPolicy.RUNTIME)@Documented@Inheritedpublic @interface DataSource{ DataSourceType value() default DataSourceType.MASTER;}使用AOP,切入DataSource注解,实现数据源切换,创建com.zhlab.demo.db.aspect包,并创建DynamicDataSourceAspect.java
package com.zhlab.demo.db.aspect;import com.zhlab.demo.db.annotation.DataSource;import com.zhlab.demo.db.datasource.DynamicDataSourceHelper;import org.aspectj.lang.ProceedingJoinPoint;import org.aspectj.lang.annotation.*;import org.aspectj.lang.reflect.MethodSignature;import org.springframework.core.annotation.Order;import org.springframework.stereotype.Component;import java.lang.reflect.Method;/** * @ClassName DynamicDataSourceAspect * @Description //数据源动态切换AOP * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/11/2 0002 下午 3:16 **/@Aspect@Order(1)@Componentpublic class DynamicDataSourceAspect { /** * 选择切入点为DataSource注解 * */ @Pointcut("@annotation(com.zhlab.demo.db.annotation.DataSource)" + "|| @within(com.zhlab.demo.db.annotation.DataSource)") public void dsPointCut() { } @Around("dsPointCut()") public Object around(ProceedingJoinPoint point) throws Throwable { DataSource dataSource = getDataSource(point); if (dataSource != null) { DynamicDataSourceHelper.setDataSourceType(dataSource.value().name()); } try { return point.proceed(); } finally { // 销毁数据源 在执行方法之后 DynamicDataSourceHelper.clearDataSourceType(); } } /** * 获取需要切换的数据源 */ public DataSource getDataSource(ProceedingJoinPoint point) { MethodSignature signature = (MethodSignature) point.getSignature(); Class<? extends Object> targetClass = point.getTarget().getClass(); DataSource targetDataSource = targetClass.getAnnotation(DataSource.class); if (targetDataSource != null) { return targetDataSource; } else { Method method = signature.getMethod(); DataSource dataSource = method.getAnnotation(DataSource.class); return dataSource; } }}完成以上的步骤后,可以在DAO层、Service层的方法中切换数据源了
package com.zhlab.demo.mapper;import com.zhlab.demo.db.DataSourceType;import com.zhlab.demo.db.annotation.DataSource;import com.zhlab.demo.model.SysAdminUser;import java.util.List;public interface SysAdminUserMapper { int insert(SysAdminUser record); /** * 查询所有用户 * */ List<SysAdminUser> selectAll(); //切换数据源后,查询所有用户 @DataSource(value = DataSourceType.SLAVE) List<SysAdminUser> selectAll2();}
SysAdminUserService.java
package com.zhlab.demo.service;import com.github.pagehelper.PageHelper;import com.github.pagehelper.PageInfo;import com.zhlab.demo.db.DataSourceType;import com.zhlab.demo.db.annotation.DataSource;import com.zhlab.demo.mapper.SysAdminUserMapper;import com.zhlab.demo.model.SysAdminUser;import com.zhlab.demo.utils.PageUtil;import com.zhlab.demo.utils.page.PageRequest;import com.zhlab.demo.utils.page.PageResult;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.stereotype.Service;import java.util.List;/** * @ClassName SysAdminUserService * @Description //SysAdminUserService * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/10/31 0031 上午 9:45 **/@Servicepublic class SysAdminUserService { @Autowired SysAdminUserMapper sysAdminUserMapper; /** * 查询所有用户 * */ public List<SysAdminUser> findAll(){ return sysAdminUserMapper.selectAll(); } public List<SysAdminUser> findAll2(){ return sysAdminUserMapper.selectAll2(); }}
UserController.java
package com.zhlab.demo.controller;import com.github.pagehelper.PageHelper;import com.github.pagehelper.PageInfo;import com.zhlab.demo.model.SysAdminUser;import com.zhlab.demo.service.SysAdminUserService;import com.zhlab.demo.utils.PageUtil;import com.zhlab.demo.utils.page.PageRequest;import com.zhlab.demo.utils.page.PageResult;import io.swagger.annotations.ApiOperation;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.context.ApplicationContext;import org.springframework.context.support.ClassPathXmlApplicationContext;import org.springframework.web.bind.annotation.*;import java.util.List;/** * @ClassName UserController * @Description //用户接口层 * @Author singleZhang * @Email 405780096@qq.com * @Date 2020/10/31 0031 上午 9:43 **/@RestController@RequestMapping("/user")public class UserController { @Autowired SysAdminUserService sysAdminUserService; /* 方法注解 */ @ApiOperation(value = "方法名:用户列表", notes = "获取用户列表") @GetMapping("/list") public List<SysAdminUser> list(){ List<SysAdminUser> list = sysAdminUserService.findAll(); return list; } /* 方法注解 */ @ApiOperation(value = "方法名:用户列表2", notes = "切换数据源获取用户列表") @GetMapping("/list2") public List<SysAdminUser> list2(){ List<SysAdminUser> list = sysAdminUserService.findAll2(); return list; }}
demo2数据库中的数据需要和demo数据库中的数据不同,形成对比
demo
启动项目,打开查看接口
demo数据库,查询所有用户:/user/list
demo2数据库,查询所有用户:/user/list2
实现成功,完成动态切换数据源。
总结
Druid多数据源以及动态切换的使用场景其实在很多项目中是很常见的,需要大家掌握,以后接触到分布式系统的时候在这基础上会扩展得更多,需要持续深入研究。
项目地址
标签: #apache配置minetype