1、创建一个SpringBoot项目
2、添加maven依赖
<dependencies>
<!-- SpringBoot AOP -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-aop</artifactId>
</dependency>
<!--mysql-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<!-- druid-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.18</version>
</dependency>
<!-- test -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
</dependency>
<!--web-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!--freemarker模板-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-freemarker</artifactId>
</dependency>
<!-- lombok -->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<!-- mybatisPlus 核心库 -->
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>3.1.0</version>
</dependency>
</dependencies>
3、配置application.yml
spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
driverClassName: com.mysql.cj.jdbc.Driver
druid:
master:
jdbc-url: jdbc:mysql://localhost:3306/act_db?useUnicode=true&characterEncoding=utf8&serverTimezone=GMT&nullCatalogMeansCurrent=true
username: root
password: root
driver-class-name: com.mysql.cj.jdbc.Driver
salve:
jdbc-url: jdbc:mysql://localhost:3306/activiti?useUnicode=true&characterEncoding=utf8&serverTimezone=GMT&nullCatalogMeansCurrent=true
username: root
password: root
driver-class-name: com.mysql.cj.jdbc.Driver
4、在配置类上启用AOP注解
@EnableAspectJAutoProxy
5、定义一个注解类
/**
* @author wts
* @date 2022/4/11
* @description 自定义多数据源切换注解
* 优先级:先方法,后类,如果方法覆盖了类上的数据源类型,以方法的为准,否则以类上的为准
*/
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.METHOD, ElementType.TYPE})
@Documented
public @interface DataSource {
/**
* 切换的数据源类型
*/
String value() default DataSourceName.DB_MerchantCenter;
}
6、定义一个枚举类
/**
* @author wts
* @date 2022/4/11
* @description 数据源
*/
public enum DataSourceType {
/**
* 主库
*/
MASTER,
/**
* 从库
*/
SALVE
}
7、定义一个动态数据源处理器
/**
* @author wts
* @date 2022/4/11
* @description 数据源切换处理
*/
public class DynamicDataSourceContextHolder {
/**
* 使用ThreadLocal维护变量,ThreadLocal为每个使用该变量的线程提供独立的变量副本,
* 所以每一个线程都可以独立地改变自己的副本,而不会影响其它线程所对应的副本。
*/
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();
}
}
8、定义一个动态数据源
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import javax.sql.DataSource;
import java.util.Map;
/**
* @author wts
* @date 2022/4/11
* @description 动态数据源
*/
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 DynamicDataSourceContextHolder.getDataSourceType();
}
}
9、定义一个数据源配置类
import com.zcy.common.datasource.DataSourceType;
import com.zcy.common.datasource.DynamicDataSource;
import com.zcy.utils.SpringUtils;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
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;
/**
* @author wts
* @date 2021/4/11
* @description 数据源配置类
*/
@Configuration
public class DataSourceConfig {
@Bean(name = "masterDataSource")
@ConfigurationProperties(prefix = "spring.datasource.druid.master")
public DataSource masterDataSource() {
return DataSourceBuilder.create().build();
}
@Bean(name = "salveDataSource")
@ConfigurationProperties(prefix = "spring.datasource.druid.salve")
public DataSource salveDataSource() {
return DataSourceBuilder.create().build();
}
@Bean(name = "dynamicDataSource")
@Primary
public DynamicDataSource dataSource() {
Map<Object, Object> targetDataSources = new HashMap<>();
targetDataSources.put(DataSourceType.MASTER.name(), masterDataSource());
setDataSource(targetDataSources, DataSourceType.SALVE.name(), "salveDataSource");
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 = SpringUtils.getBean(beanName);
targetDataSources.put(sourceName, dataSource);
} catch (Exception e) {
e.printStackTrace();
}
}
}
10、定义一个AOP切面类
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.core.annotation.AnnotationUtils;
import org.springframework.core.annotation.Order;
import org.springframework.stereotype.Component;
import java.util.Objects;
/**
* @author wts
* @date 2021/4/11
* @description 多数据源处理
*/
@Aspect
@Order(1)
@Component
public class DataSourceAspect {
protected Logger logger = LoggerFactory.getLogger(getClass());
@Pointcut("@annotation(com.zcy.common.datasource.DataSource)" + "|| @within(com.zcy.common.datasource.DataSource)")
public void dsPointCut() {
}
@Around("dsPointCut()")
public Object around(ProceedingJoinPoint point) throws Throwable {
DataSource dataSource = getDataSource(point);
if (null != dataSource) {
DynamicDataSourceContextHolder.setDataSourceType(dataSource.value().name());
}
try {
return point.proceed();
} finally {
// 销毁数据源 在执行方法之后
DynamicDataSourceContextHolder.clearDataSourceType();
}
}
/**
* 获取需要切换的数据源
*/
public DataSource getDataSource(ProceedingJoinPoint point) {
MethodSignature signature = (MethodSignature) point.getSignature();
DataSource dataSource = AnnotationUtils.findAnnotation(signature.getMethod(), DataSource.class);
if (Objects.nonNull(dataSource)) {
return dataSource;
}
return AnnotationUtils.findAnnotation(signature.getDeclaringType(), DataSource.class);
}
}
【补充】:AbstractRoutingDataSource分析
抽象类AbstractRoutingDataSource
,通过扩展这个类实现根据不同的请求切换数据源。
AbstractRoutingDataSource
继承AbstractDataSource
,如果声明一个类DynamicDataSource
继承AbstractRoutingDataSource
后,DynamicDataSource
本身就相当于一种数据源。所以AbstractRoutingDataSource
必然有getConnection()
方法获取数据库连接。如下:
@Override
public Connection getConnection() throws SQLException {
return determineTargetDataSource().getConnection();
}
@Override
public Connection getConnection(String username, String password) throws SQLException {
return determineTargetDataSource().getConnection(username, password);
}
而AbstractRoutingDataSource
的getConnection()
方法里实际是调用determineTargetDataSource()
返回的数据源的getConnection()
方法。接着看determineTargetDataSource()
方法:
protected DataSource determineTargetDataSource() {
Assert.notNull(this.resolvedDataSources, "DataSource router not initialized");
Object lookupKey = determineCurrentLookupKey();
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 + "]");
}
return dataSource;
}
大致流程为,通过determineCurrentLookupKey()
方法获取一个key,通过key从resolvedDataSources
中获取数据源DataSource
对象。determineCurrentLookupKey()
是个抽象方法,需要继承AbstractRoutingDataSource
的类实现;而resolvedDataSources
是一个Map<Object, DataSource>
,里面应该保存当前所有可切换的数据源。