javascript
druid 多数据源_Spring Boot + Mybatis 中 配置Druid多数据源并实现自由切换
概述
前面我們已經介紹過了對MyBatis、Druid的整合,接下來我們在之前的基礎上做擴展,實現對Druid多數據源的配置以及動態切換數據源。
問題:多數據源使用場景有哪些呢?
回答:在業務發展中,數據的不斷增長,會有讀寫分離的需求,以及按業務模塊分庫的需求,這樣我們的數據源會越來越多,在項目中就有了在各個數據源之間來回切換的場景。
實踐如何配置Druid多數據源并實現動態切換
1. 首先是啟動類的改造,在@SpringBootApplication注解后加上exclude = { DataSourceAutoConfiguration.class }
@SpringBootApplication(exclude = { DataSourceAutoConfiguration.class })2. yml配置文件,druid配置中,加入兩個數據庫,分別命名為master、slave
# MyBatis配置mybatis:
# 搜索指定包別名
typeAliasesPackage: com.zhlab.demo.model
# 配置mapper的掃描,找到所有的mapper.xml映射文件
mapperLocations: classpath:mapper/*Mapper.xml
# 加載全局的配置文件
configLocation: classpath:mybatis/mybatis-config.xml
spring:
## 數據庫配置
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
//...后邊省略和之前一樣
3. 創建com.zhlab.demo.db包,并創建DataSourceType.java枚舉類,存放所有數據源的名稱
package com.zhlab.demo.db;/**
* @ClassName DataSourceType
* @Description //DataSourceType 數據源類型
* @Author singleZhang
* @Email 405780096@qq.com
* @Date 2020/11/2 0002 下午 2:41
**/
public enum DataSourceType
{
/**
* master
*/
MASTER,
/**
* slave
*/
SLAVE
}
4. 創建com.zhlab.demo.config.properties包,并創建DruidProperties.java類,用來獲取連接池屬性,并設置到數據源中
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
**/
@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;
/**
* 連接池屬性設置
* */
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;
}
}
5. 接著配置MybatisConfig.java和DruidConfig.java兩個配置類
MybatisConfig
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配置類
* @Author singleZhang
* @Email 405780096@qq.com
* @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配置類
* @Author singleZhang
* @Email 405780096@qq.com
* @Date 2020/11/2 0002 下午 2:08
**/
@Configuration
public class DruidConfig {
/**
* master數據源
* */
@Bean
@ConfigurationProperties("spring.datasource.druid.master")
public DataSource masterDataSource(DruidProperties druidProperties)
{
DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
return druidProperties.dataSource(dataSource);
}
/**
* slave數據源
* */
@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);
//設置備用
setDataSource(targetDataSources, DataSourceType.SLAVE.name(), "slaveDataSource");
return new DynamicDataSource(masterDataSource, targetDataSources);
}
/**
* 設置數據源
*
* @param targetDataSources 備選數據源集合
* @param sourceName 數據源名稱
* @param beanName bean名稱
*/
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();
}
}
}
6. 配置信息完成后,需要加入動態數據源支持,創建com.zhlab.demo.db.datasource包,并創建
DynamicDataSource類,繼承AbstractRoutingDataSource,這個抽象類有兩個成員變量需要我們了解一下
targetDataSources:保存了key和數據庫連接的映射關系
defaultTargetDataSource:表示默認的數據庫連接
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();
}
}
上述類中,重寫了determineCurrentLookupKey()函數,我們看一下它在抽象類中是如何被使用的
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,我們需要在determineCurrentLookupKey()方法中返回一個數據源的標志即可,即
@Overrideprotected Object determineCurrentLookupKey()
{
return DynamicDataSourceHelper.getDataSourceType();
}
7. 我們還需要創建一個自定義的DynamicDataSourceHelper類,來操作數據源的設置、獲取和清除
package com.zhlab.demo.db.datasource;/**
* @ClassName DynamicDataSource
* @Description //數據源切換處理
* @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<>();
/**
* 設置數據源的變量
*/
public static void setDataSourceType(String dsType) { CONTEXT_HOLDER.set(dsType); }
/**
* 獲得數據源的變量
*/
public static String getDataSourceType() { return CONTEXT_HOLDER.get(); }
/**
* 清空數據源變量
*/
public static void clearDataSourceType() {CONTEXT_HOLDER.remove();}
}
8. 實現動態切換,通過注解來簡化業務層的數據源切換,創建com.zhlab.demo.db.annotation包,并創建注解DataSource.java
package com.zhlab.demo.db.annotation;import com.zhlab.demo.db.DataSourceType;
import java.lang.annotation.*;
/**
* 自定義多數據源切換注解
* 在這里切換數據源名稱
* */
@Target({ ElementType.METHOD, ElementType.TYPE })
@Retention(RetentionPolicy.RUNTIME)@Documented@Inherited
public @interface DataSource
{
DataSourceType value() default DataSourceType.MASTER;
}
9. 使用AOP,切入DataSource注解,實現數據源切換,創建com.zhlab.demo.db.aspect包,并創建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 //數據源動態切換AOP
* @Author singleZhang
* @Email 405780096@qq.com
* @Date 2020/11/2 0002 下午 3:16
**/
@Aspect
@Order(1)
@Component
public class DynamicDataSourceAspect {
/**
* 選擇切入點為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 {
// 銷毀數據源 在執行方法之后
DynamicDataSourceHelper.clearDataSourceType();
}
}
/**
* 獲取需要切換的數據源
*/
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;
}
}
}
10. 完成以上的步驟后,可以在DAO層、Service層的方法中切換數據源了
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);
/**
* 查詢所有用戶
* */
List<SysAdminUser> selectAll();
//切換數據源后,查詢所有用戶
@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
**/
@Service
public class SysAdminUserService {
@Autowired
SysAdminUserMapper sysAdminUserMapper;
/**
* 查詢所有用戶
* */
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 //用戶接口層
* @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:用戶列表", notes = "獲取用戶列表")
@GetMapping("/list")
public List<SysAdminUser> list(){
List<SysAdminUser> list = sysAdminUserService.findAll();
return list;
}
/* 方法注解 */
@ApiOperation(value = "方法名:用戶列表2", notes = "切換數據源獲取用戶列表")
@GetMapping("/list2")
public List<SysAdminUser> list2(){
List<SysAdminUser> list = sysAdminUserService.findAll2();
return list;
}
}
demo2數據庫中的數據需要和demo數據庫中的數據不同,形成對比
demo2 數據表內容:
demo 數據表內容:
10. 啟動項目,打開http://localhost:8080/swagger-ui.html查看接口
demo數據庫,查詢所有用戶:/user/list
demo2數據庫,查詢所有用戶:/user/list2
實現成功,完成自定義切換數據源。
總結
Druid多數據源以及動態切換的使用場景其實在很多項目中是很常見的,需要大家掌握,以后接觸到分布式系統的時候在這基礎上會擴展得更多,需要持續深入研究。
項目地址
https://gitee.com/kaixinshow/springboot-note
總結
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