概述
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.xml
spring:
## 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 [email protected]
* @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 [email protected]
* @Date 2020/11/2 0002 下午 2:44
**/
@Configuration
public 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 [email protected]
* @Date 2020/10/31 0031 上午 9:37
**/
@Configuration
@MapperScan("com.zhlab.demo.mapper") //mapper
public 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 [email protected]
* @Date 2020/11/2 0002 下午 2:08
**/
@Configuration
public 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
- 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 [email protected]
* @Date 2020/11/2 0002 下午 2:22
**/
public class DynamicDataSource extends AbstractRoutingDataSource
{
public DynamicDataSource(DataSource defaultTargetDataSource, Map 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 [email protected]
* @Date 2020/11/2 0002 下午 2:22
**/
public class DynamicDataSourceHelper
{
private static final ThreadLocal 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
@Inherited
public @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 [email protected]
* @Date 2020/11/2 0002 下午 3:16
**/
@Aspect
@Order(1)
@Component
public 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 selectAll();
//切换数据源后,查询所有用户
@DataSource(value = DataSourceType.SLAVE)
List 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 [email protected]
* @Date 2020/10/31 0031 上午 9:45
**/
@Service
public class SysAdminUserService {
@Autowired
SysAdminUserMapper sysAdminUserMapper;
/**
* 查询所有用户
* */
public List findAll(){
return sysAdminUserMapper.selectAll();
}
public List 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 [email protected]
* @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 list(){
List 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 list2(){
List 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
- 启动项目,打开http://localhost:8080/swagger-ui.html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
https://gitee.com/kaixinshow/springboot-note
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