1 注解类
@Target ({ ElementType.METHOD, ElementType.TYPE }) //注解作用的位置,ElemenetType.TYPE:类,接口(包括注解类型)或enum声明 @Retention(RetentionPolicy.RUNTIME) //注解的生命周期,表示注解会被保留到什么阶段,可以选择编译阶段、类加载阶段,或运行阶段 @Documented //注解信息会被添加到Java文档中 @Inherited //有该注解的类的子类会继承该注解 public @interface DataSource { /** * 切换数据源名称 */ public DataSourceType value() default DataSourceType.SLAVE; //default DataSourceType.MASTER }
DataSourceType是自定义的枚举类
package com.kun.demo.enums; public enum DataSourceType { MASTER, SLAVE }
2 写一个切面类给注解配置环绕通知
package com.kun.demo.aspect; import com.kun.demo.anno.DataSource; import com.kun.demo.util.DynamicDataSource; import com.kun.demo.util.MultipleDatasource; import com.sun.org.apache.regexp.internal.RE; 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.springframework.core.annotation.AnnotationUtils; import org.springframework.stereotype.Component; import java.util.Objects; /** * @PackageName:com.kun.demo.aspect * @Description: * @Author 杨坤 * @Date:2021/5/14 17:43 */ @Aspect @Component public class Datasource_AroundAspect { @Pointcut("@annotation(com.kun.demo.anno.DataSource) || @within(com.kun.demo.anno.DataSource)")//@within能让注解加载类上也生效 public void pointcut(){} @Around("pointcut()") public Object around(ProceedingJoinPoint point) throws Throwable { DataSource dataSource = getDataSource(point);//DataSource是注解 if (null != dataSource) { System.out.println("dataSource.value().name()"+dataSource.value().name()); MultipleDatasource.setDataSourceType(dataSource.value().name()); } try { return point.proceed(); } finally { // 销毁数据源 在执行方法之后 MultipleDatasource.cleanDataSourceType(); } } /** * 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);//获取方法上的注解 if (Objects.nonNull(dataSource)) { return dataSource; } return AnnotationUtils.findAnnotation(signature.getDeclaringType(), DataSource.class);//如果方法上没加注解,就获取类上的注解 } }
3 连接池的配置文件
# 数据源配置 spring: datasource: # type: com.alibaba.druid.pool.DruidDataSource # driverClassName: com.mysql.cj.jdbc.Driver druid: # 主库数据源 master: url: jdbc:mysql://192.168.10.99:3306/vue?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8 username: root password: root # 从库数据源 slave: # 从数据源开关/默认关闭 enabled: false url: jdbc:mysql://192.168.10.99:3306/vue_slave?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8 username: root password: root # 初始连接数 initialSize: 5 # 最小连接池数量 minIdle: 10 # 最大连接池数量 maxActive: 20 # 配置获取连接等待超时的时间 maxWait: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 timeBetweenEvictionRunsMillis: 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 minEvictableIdleTimeMillis: 300000 # 配置一个连接在池中最大生存的时间,单位是毫秒 maxEvictableIdleTimeMillis: 900000 # 配置检测连接是否有效 validationQuery: SELECT 1 FROM DUAL testWhileIdle: true testOnBorrow: false testOnReturn: false webStatFilter: enabled: true statViewServlet: enabled: true # 设置白名单,不填则允许所有访问 allow: url-pattern: /druid/* # 控制台管理用户名和密码 login-username: admin login-password: 123456 filter: stat: enabled: true # 慢SQL记录 log-slow-sql: true slow-sql-millis: 1000 merge-sql: true wall: config: multi-statement-allow: true
记得在application.yml中添加进来连接池的配置文件
4 编写连接池的配置文件
package com.kun.demo.config; import com.alibaba.druid.pool.DruidDataSource; import org.springframework.beans.factory.annotation.Value; import org.springframework.context.annotation.Configuration; /** * druid 配置属性 * * @author ruoyi */ @Configuration //这个注解包括了@component注解 ,DruidConfig会交给容器管理 public class DruidConfig { @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; public DruidDataSource dataSource(DruidDataSource datasource) { /** 配置初始化大小、最小、最大 */ datasource.setInitialSize(initialSize); datasource.setMaxActive(maxActive); datasource.setMinIdle(minIdle); /** 配置获取连接等待超时的时间 */ datasource.setMaxWait(maxWait); /** 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 */ datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis); /** 配置一个连接在池中最小、最大生存的时间,单位是毫秒 */ datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis); datasource.setMaxEvictableIdleTimeMillis(maxEvictableIdleTimeMillis); /** * 用来检测连接是否有效的sql,要求是一个查询语句,常用select 'x'。如果validationQuery为null,testOnBorrow、testOnReturn、testWhileIdle都不会起作用。 */ datasource.setValidationQuery(validationQuery); /** 建议配置为true,不影响性能,并且保证安全性。申请连接的时候检测,如果空闲时间大于timeBetweenEvictionRunsMillis,执行validationQuery检测连接是否有效。 */ datasource.setTestWhileIdle(testWhileIdle); /** 申请连接时执行validationQuery检测连接是否有效,做了这个配置会降低性能。 */ datasource.setTestOnBorrow(testOnBorrow); /** 归还连接时执行validationQuery检测连接是否有效,做了这个配置会降低性能。 */ datasource.setTestOnReturn(testOnReturn); return datasource; } }
5 编写mybatis配置文件
package com.kun.demo.config;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;
import com.kun.demo.enums.DataSourceType;
import com.kun.demo.util.DynamicDataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.env.Environment;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import javax.sql.DataSource;
import java.util.*;
/**
* @PackageName:com.kun.demo.config
* @Description:
* @Author 杨坤
* @Date:2021/5/17 16:40
*/
@Configuration
public class MybatisConfig {
@Autowired
private Environment env;
@Bean
@ConfigurationProperties("spring.datasource.druid.master") //为了把spring.datasource.druid.master的属性给return对象赋值
public DataSource masterDatasource(DruidConfig druidConfig){//@Bean方法的参数默认用@autowire方式注入
DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
return druidConfig.dataSource(dataSource);//创建Druidconfig对象是为了把配置文件的公共属性给return对象赋值
}
@Bean
@ConfigurationProperties("spring.datasource.druid.slave") //为了把spring.datasource.druid.slave的属性给return对象赋值
//@ConditionalOnProperty(prefix = "spring.datasource.druid.slave", name = "enabled", havingValue = "true")//配置文件中enabled这个值如果是true则Configuration注解生效
public DataSource slaveDatasource(DruidConfig druidConfig){//@Bean方法的参数默认用@autowire方式注入
DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
return druidConfig.dataSource(dataSource);
}
@Bean(name = "dynamicDataSource")
public DynamicDataSource dataSource(@Qualifier("masterDatasource") DataSource testDatasource,@Qualifier("slaveDatasource") DataSource devDatasource)
{
Map<Object, Object> targetDataSources = new HashMap<>();
targetDataSources.put(DataSourceType.MASTER.name(), testDatasource);
targetDataSources.put(DataSourceType.SLAVE.name(), devDatasource);
DynamicDataSource dynamicDataSource = new DynamicDataSource();
dynamicDataSource.setTargetDataSources(targetDataSources);
dynamicDataSource.setDefaultTargetDataSource(testDatasource);
return dynamicDataSource;
}
@Bean(name = "sqlSessionFactory")
public SqlSessionFactory sqlSessionFactory(@Qualifier("dynamicDataSource") DataSource dataSource) throws Exception
{
final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
sessionFactory.setDataSource(dataSource);
sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath*:mapper/*.xml"));
return sessionFactory.getObject();
}
}
6 编写multifulDatasource用于给threadlocal类设置数据源
package com.kun.demo.util; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource; /** * @PackageName:com.kun.demo.util * @Description: * @Author 杨坤 * @Date:2021/5/17 11:40 */ public class MultipleDatasource { private static final ThreadLocal<String> dataSourceKey = new InheritableThreadLocal<String>(); public static final Logger log = LoggerFactory.getLogger(MultipleDatasource.class); public static void setDataSourceType(String type){ log.info("切换到数据源: "+type); dataSourceKey.set(type); } public static String getDataSourceType(){ return dataSourceKey.get(); } public static void cleanDataSourceType(){ dataSourceKey.remove(); } }
7 编写DynamicDatasource用于选择数据源
package com.kun.demo.util; import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource; import javax.sql.DataSource; import java.util.Map; /** * @PackageName:com.kun.demo.util * @Description: * @Author 杨坤 * @Date:2021/5/18 15:45 */ public class DynamicDataSource extends AbstractRoutingDataSource { @Override protected Object determineCurrentLookupKey() { return MultipleDatasource.getDataSourceType(); } }
启动类上加
@SpringBootApplication(exclude = { DataSourceAutoConfiguration.class })//使用自定义的数据源
@MapperScan("com.kun.demo.mapper")//mapper接口扫描
用法:在service层的类或方法上加@DataSource(DataSourceType.MASTER) 就可以切换到master数据源,不加注解会mybatis配置文件配置的默认数据源