springboot如何配置多数据源及单库事务控制?
程序员考拉
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2020-11-03 23:14
1.背景介绍
通过springboot操作mysql数据库,但是在实际业务场景中,数据量迅速增长,一个库一个表已经满足不了我们的需求的时候,我们就会考虑分库分表的操作,在springboot中如何实现多数据源,动态数据源切换,读写分离等操作。
2.所需依赖
#父级项目依赖
<parent>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-parentartifactId>
<version>2.1.5.RELEASEversion>
parent>
#其他依赖
<dependencies>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-webartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-testartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-aopartifactId>
dependency>
<dependency>
<groupId>com.alibabagroupId>
<artifactId>druidartifactId>
<version>1.0.2version>
dependency>
<dependency>
<groupId>mysqlgroupId>
<artifactId>mysql-connector-javaartifactId>
<scope>runtimescope>
dependency>
<dependency>
<groupId>org.mybatis.spring.bootgroupId>
<artifactId>mybatis-spring-boot-starterartifactId>
<version>1.3.1version>
dependency>
<dependency>
<groupId>org.aspectjgroupId>
<artifactId>aspectjweaverartifactId>
dependency>
<dependency>
<groupId>org.projectlombokgroupId>
<artifactId>lombokartifactId>
dependency>
dependencies>
yml文件中配置
#多数据源 1主2从
datasource:
#从库数量
readSize: 2
# 使用druid数据源
type: com.alibaba.druid.pool.DruidDataSource
#主库
write:
url: jdbc:mysql://localhost:3306/test?characterEncoding=utf-8&serverTimezone=GMT%2B8
username: root
password: root
driver-class-name: com.mysql.cj.jdbc.Driver
filters: stat
maxActive: 20
initialSize: 1
maxWait: 60000
minIdle: 1
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQueryTimeout: 900000
validationQuery: SELECT 1
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
maxOpenPreparedStatements: 20
read1:
url: jdbc:mysql://localhost:3306/wb?characterEncoding=utf-8&serverTimezone=GMT%2B8
username: root
password: root
driver-class-name: com.mysql.cj.jdbc.Driver
filters: stat
maxActive: 20
initialSize: 1
maxWait: 60000
minIdle: 1
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQueryTimeout: 900000
validationQuery: SELECT 1
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
maxOpenPreparedStatements: 20
read2:
url: jdbc:mysql://localhost:3306/sys?characterEncoding=utf-8&serverTimezone=GMT%2B8
username: root
password: root
driver-class-name: com.mysql.cj.jdbc.Driver
filters: stat
maxActive: 20
initialSize: 1
maxWait: 60000
minIdle: 1
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQueryTimeout: 900000
validationQuery: SELECT 1
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
maxOpenPreparedStatements: 20
1.自定义注解标签TargetDataSource,主要用于在接口处通过注解来切换数据源
package com.lenovo.annotation;
import com.lenovo.meiju.DataSourceType;
import java.lang.annotation.*;
@Target({ElementType.METHOD, ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface TargetDataSource {
//默认使用写库
DataSourceType value() default DataSourceType.write;
}
2.定义切面DataSourceAop
通过获取接口处的注解,获取注解所需要切换的数据源名称,从而来切换该数据源
package com.lenovo.interceptor;
import com.lenovo.annotation.TargetDataSource;
import com.lenovo.config.DataSourceContextHolder;
import lombok.extern.slf4j.Slf4j;
import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.annotation.After;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.stereotype.Component;
import org.aspectj.lang.annotation.Before;
import java.lang.reflect.Method;
@Aspect
@Component
@Slf4j
public class DataSourceAop {
@Before("@annotation(targetDataSource)")
public void setWriteDataSourceType(JoinPoint point, TargetDataSource targetDataSource) {
//获得当前访问的class
Class> className = point.getTarget().getClass();
//获得访问的方法名
String methodName = point.getSignature().getName();
//得到方法的参数的类型
Class[] argClass = ((MethodSignature)point.getSignature()).getParameterTypes();
//获取默认的数据源名称
String dataSource = DataSourceContextHolder.DEFAULT_DS;
try {
// 得到访问的方法对象
Method method = className.getMethod(methodName, argClass);
// 判断是否存在@注解
if (method.isAnnotationPresent(TargetDataSource.class)) {
TargetDataSource annotation = method.getAnnotation(TargetDataSource.class);
// 取出注解中的数据源名
dataSource = annotation.value().getType();
}
} catch (Exception e) {
e.printStackTrace();
}
// 切换数据源
DataSourceContextHolder.setJdbcType(dataSource);
}
@After("@annotation(targetDataSource)")
public void afterSwitchDS(JoinPoint point,TargetDataSource targetDataSource){
DataSourceContextHolder.clearDB();
}
}
3.设置本地线程全局变量
package com.lenovo.config;
import lombok.extern.slf4j.Slf4j;
@Slf4j
public class DataSourceContextHolder {
private static final ThreadLocal local = new ThreadLocal();
public static final String DEFAULT_DS = "write";//默认数据源
public static ThreadLocal getLocal() {
return local;
}
public static String getJdbcType() {
return local.get();
}
public static void setJdbcType(String dbType) {
log.info("dataSource切换到:"+dbType);
local.set(dbType);
}
// 清除数据源名
public static void clearDB() {
local.remove();
}
}
4.数据库配置:解析application-pro.yml文件
通过@ConfigurationProperties注解 获取配置文件属性自动配置,绑定其属性
通过@Bean注解,申请实例对象
package com.lenovo.config;
import com.lenovo.meiju.DataSourceType;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Import;
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import org.springframework.transaction.annotation.EnableTransactionManagement;
import javax.annotation.Resource;
import javax.sql.DataSource;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
@Slf4j
@Configuration
@ConditionalOnClass({EnableTransactionManagement.class})
@Import({ DataBaseConfiguration.class})
public class MybatisConfiguration {
@Value("${datasource.type}")
private Class extends DataSource> dataSourceType;
@Value("${datasource.readSize}")
private String dataSourceSize;
@Resource(name = "writeDataSource")
private DataSource dataSource;
@Resource(name = "readDataSource1")
private DataSource read1DataSources;
@Resource(name = "readDataSource2")
private DataSource read2DataSources;
List readDataSources;
@Bean
@ConditionalOnMissingBean
public SqlSessionFactory sqlSessionFactory() throws Exception {
SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
sqlSessionFactoryBean.setDataSource(roundRobinDataSouceProxy());
return sqlSessionFactoryBean.getObject();
}
/**
* 设置默认数据库,其他数据源
* @return
*/
@Bean(name = "dynamicDataSource")
public AbstractRoutingDataSource roundRobinDataSouceProxy() {
int size = Integer.parseInt(dataSourceSize);
MyAbstractRoutingDataSource proxy = new MyAbstractRoutingDataSource(size);
Map
5.通过枚举法区分读写库标识
package com.lenovo.meiju;
public enum DataSourceType {
read("read", "从库"),
write("write", "主库");
private String type;
private String name;
public String getType() {
return type;
}
public void setType(String type) {
this.type = type;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
DataSourceType(String type, String name) {
this.type = type;
this.name = name;
}
}
6.通过继承AbstractRoutingDataSource实现其动态选择数据源
package com.lenovo.config;
import com.lenovo.meiju.DataSourceType;
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import java.util.concurrent.atomic.AtomicInteger;
public class MyAbstractRoutingDataSource extends AbstractRoutingDataSource {
//配置的读库数量
private final int dataSourceNumber;
private AtomicInteger count = new AtomicInteger(0);
/**
* @dataSourceNumber 从库的数量
**/
public MyAbstractRoutingDataSource(int dataSourceNumber) {
this.dataSourceNumber = dataSourceNumber;
}
@Override
protected Object determineCurrentLookupKey() {
//获取通过aop设置的数据源名称
String typeKey = DataSourceContextHolder.getJdbcType();
if (typeKey==null){//未加注解 默认使用主库
typeKey=DataSourceType.write.getType();
}
//如果是当前数据源是默认主库,直接返回主库
if (typeKey.equals(DataSourceType.write.getType())){
return DataSourceType.write.getType();
}
//从库 读 简单负载均衡(轮询)
int number = count.getAndAdd(1);
int lookupKey = number % dataSourceNumber;
return new Integer(lookupKey);
//如果不进行负载,直接指定数据源的话,则可以这边修改
}
}
7.配置mybatis
package com.lenovo.config;
import com.lenovo.meiju.DataSourceType;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Import;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import org.springframework.transaction.PlatformTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;
import javax.annotation.Resource;
import javax.sql.DataSource;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
@Slf4j
@Configuration
@ConditionalOnClass({EnableTransactionManagement.class})
@Import({ DataBaseConfiguration.class})
public class MybatisConfiguration {
@Value("${datasource.type}")
private Class extends DataSource> dataSourceType;
@Value("${datasource.readSize}")
private String dataSourceSize;
@Resource(name = "writeDataSource")
private DataSource dataSource;
@Resource(name = "readDataSource1")
private DataSource read1DataSources;
@Resource(name = "readDataSource2")
private DataSource read2DataSources;
List readDataSources;
@Bean
@ConditionalOnMissingBean
public SqlSessionFactory sqlSessionFactory() throws Exception {
SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
sqlSessionFactoryBean.setDataSource(roundRobinDataSouceProxy());
return sqlSessionFactoryBean.getObject();
}
/**
* 设置默认数据库,其他数据源
* @return
*/
@Bean(name = "dynamicDataSource")
public AbstractRoutingDataSource roundRobinDataSouceProxy() {
int size = Integer.parseInt(dataSourceSize);
MyAbstractRoutingDataSource proxy = new MyAbstractRoutingDataSource(size);
Map targetDataSources = new HashMap();
// DataSource writeDataSource = SpringContextHolder.getBean("writeDataSource");
// 写
targetDataSources.put(DataSourceType.write.getType(),dataSource);
// targetDataSources.put(DataSourceType.read.getType(),readDataSource);
//多个读数据库时
readDataSources=new ArrayList();
readDataSources.add(read1DataSources);
readDataSources.add(read2DataSources);
for (int i = 0; i < size; i++) {
targetDataSources.put(i, readDataSources.get(i));
}
proxy.setDefaultTargetDataSource(dataSource);
proxy.setTargetDataSources(targetDataSources);
return proxy;
}
//配置Transaction,统一管理否则事务失效
@Bean(name="transactionManager")
public PlatformTransactionManager transactionManager(){
return new DataSourceTransactionManager(roundRobinDataSouceProxy());
}
}
8.数据源声明
package com.lenovo.config;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
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;
@Slf4j
@Configuration
public class DataBaseConfiguration {
@Value("${datasource.type}")
private Class extends DataSource> dataSourceType;
@Bean(name = "writeDataSource")
@Primary
@ConfigurationProperties(prefix = "datasource.write")
public DataSource writeDataSource() {
return DataSourceBuilder.create().type(dataSourceType).build();
}
/**
* 有多少个从库就要配置多少个
* @return
*/
@Bean(name = "readDataSource1")
@ConfigurationProperties(prefix = "datasource.read1")
public DataSource readDataSourceOne() {
return DataSourceBuilder.create().type(dataSourceType).build();
}
@Bean(name = "readDataSource2")
@ConfigurationProperties(prefix = "datasource.read2")
public DataSource readDataSourceTwo() {
return DataSourceBuilder.create().type(dataSourceType).build();
}
}
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