spring-boot 速成(9) druid+mybatis 多数据源及读写分离的处理

时间:2023-03-08 23:23:01
spring-boot 速成(9) druid+mybatis 多数据源及读写分离的处理

上节继续学习,稍微复杂的业务系统,一般会将数据库按业务拆开,比如产品系统的数据库放在product db中,订单系统的数据库放在order db中...,然后,如果量大了,可能每个库还要考虑做读、写分离,以进一步提高系统性能,下面就来看看如何处理:

核心思路:配置多个数据源,然后利用RoutingDataSource结合AOP来动态切不同的库。

要解决的问题:

1、配置文件中,多数据源的配置节点如何设计?

 druid:
type: com.alibaba.druid.pool.DruidDataSource
study:
master: #study库的主库
url: jdbc:mysql://localhost:/study?useSSL=false&characterEncoding=UTF-&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useUnicode=true
driver-class-name: com.mysql.cj.jdbc.Driver
username: root
password: A1b2c3@def.com
initial-size:
min-idle:
max-active:
test-on-borrow: true
slave: #study库的从库
url: jdbc:mysql://localhost:/study_slave?useSSL=false&characterEncoding=UTF-&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useUnicode=true
driver-class-name: com.mysql.cj.jdbc.Driver
username: root
password: A1b2c3@def.com
initial-size:
min-idle:
max-active:
test-on-borrow: true
product:
master: #product库的主库
url: jdbc:mysql://localhost:/product?useSSL=false&characterEncoding=UTF-&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useUnicode=true
driver-class-name: com.mysql.cj.jdbc.Driver
username: root
password: A1b2c3@def.com
initial-size:
min-idle:
max-active:
test-on-borrow: true
slave: #product库的从库
url: jdbc:mysql://localhost:/product_slave?useSSL=false&characterEncoding=UTF-&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useUnicode=true
driver-class-name: com.mysql.cj.jdbc.Driver
username: root
password: A1b2c3@def.com
initial-size:
min-idle:
max-active:
test-on-borrow: true

上面的配置写法供参数,如果slave节点数要扩展,按这个格式,改造成slave1,slave2... 自行扩展。

2、配置类如何设计?

 package com.cnblogs.yjmyzz.db.config;

 /**
* Created by jimmy on 6/18/17.
*/ import com.cnblogs.yjmyzz.db.datasource.DbContextHolder;
import com.cnblogs.yjmyzz.db.datasource.MasterSlaveRoutingDataSource;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.jdbc.DataSourceBuilder;
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 org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import org.springframework.transaction.annotation.EnableTransactionManagement; import javax.sql.DataSource;
import java.util.HashMap;
import java.util.Map; @Configuration
@EnableTransactionManagement
public class DataSourceConfiguration { @Value("${druid.type}")
private Class<? extends DataSource> dataSourceType; @Bean(name = "studyMasterDataSource")
@ConfigurationProperties(prefix = "druid.study.master")
public DataSource studyMasterDataSource() {
return DataSourceBuilder.create().type(dataSourceType).build();
} @Bean(name = "studySlaveDataSource")
@ConfigurationProperties(prefix = "druid.study.slave")
public DataSource studySlaveDataSource1() {
return DataSourceBuilder.create().type(dataSourceType).build();
} @Bean(name = "productMasterDataSource")
@ConfigurationProperties(prefix = "druid.product.master")
public DataSource productMasterDataSource() {
return DataSourceBuilder.create().type(dataSourceType).build();
} @Bean(name = "productSlaveDataSource")
@ConfigurationProperties(prefix = "druid.product.slave")
public DataSource productSlaveDataSource1() {
return DataSourceBuilder.create().type(dataSourceType).build();
} @Bean(name = "dataSource")
@Primary
public AbstractRoutingDataSource dataSource() {
MasterSlaveRoutingDataSource proxy = new MasterSlaveRoutingDataSource();
Map<Object, Object> targetDataResources = new HashMap<>();
targetDataResources.put(DbContextHolder.DbType.PRODUCT_MASTER, productMasterDataSource());
targetDataResources.put(DbContextHolder.DbType.PRODUCT_SLAVE, productSlaveDataSource1());
targetDataResources.put(DbContextHolder.DbType.STUDY_MASTER, studyMasterDataSource());
targetDataResources.put(DbContextHolder.DbType.STUDY_SLAVE, studySlaveDataSource1());
proxy.setDefaultTargetDataSource(productMasterDataSource());
proxy.setTargetDataSources(targetDataResources);
proxy.afterPropertiesSet();
return proxy;
} }

参考这个,一看就明,不说多(注:@Primary一定要在动态数据源上,否则事务回滚无效!)

3、根据什么来切换db?

有很多选择,

a、用约定的方法前缀,比如:get/query/list开头的约定为读从库,其它为主库,但是这样还要考虑不同业务库的切换(即:何时切换到product库,何时切换到order库,可以再用不同的Scanner来处理,略复杂)

b、用自定义注解来处理,比如 @ProductMaster注解,表示切换到product的master库,这样同时把业务库,以及主还是从,一次性解决了,推荐这种。

spring-boot 速成(9) druid+mybatis 多数据源及读写分离的处理

这里,我定义了4个注解,代表product,study二个库的主及从。

4、aop在哪里拦截,如何拦截?

service层和mapper层都可以拦截,推荐在服务层拦截,否则如果一个业务方法里,即有读又有写,还得考虑如果遇到事务,要考虑的东西更多。

当然,如果拦截特定的注解,就不用过多考虑在哪个层,只认注解就行(当然,注解还是建议打在服务层上)。

dubbo-starter的一个小坑:spring boot中,只有managed bean才能用aop拦截,而dubbo-starter中的@service注解不是spring中的注解(是阿里package下的自定义注解),生成的service provider实例,aop拦截不到,解决办法,再加一个注解让spring认识它,参考:

spring-boot 速成(9) druid+mybatis 多数据源及读写分离的处理

Aop拦截类的参考代码如下:

 package com.cnblogs.yjmyzz.db.aspect;

 import com.cnblogs.yjmyzz.db.annotation.ProductMaster;
import com.cnblogs.yjmyzz.db.annotation.ProductSlave;
import com.cnblogs.yjmyzz.db.annotation.StudyMaster;
import com.cnblogs.yjmyzz.db.annotation.StudySlave;
import com.cnblogs.yjmyzz.db.datasource.DbContextHolder;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.core.Ordered;
import org.springframework.stereotype.Component; @Aspect
@Component
public class MasterSlaveAspect implements Ordered { public static final Logger logger = LoggerFactory.getLogger(MasterSlaveAspect.class); /**
* 切换到product主库
*
* @param proceedingJoinPoint
* @param productMaster
* @return
* @throws Throwable
*/
@Around("@annotation(productMaster)")
public Object proceed(ProceedingJoinPoint proceedingJoinPoint, ProductMaster productMaster) throws Throwable {
try {
logger.info("set database connection to product-master only");
DbContextHolder.setDbType(DbContextHolder.DbType.PRODUCT_MASTER);
Object result = proceedingJoinPoint.proceed();
return result;
} finally {
DbContextHolder.clearDbType();
logger.info("restore database connection");
}
} /**
* 切换到product从库
*
* @param proceedingJoinPoint
* @param productSlave
* @return
* @throws Throwable
*/
@Around("@annotation(productSlave)")
public Object proceed(ProceedingJoinPoint proceedingJoinPoint, ProductSlave productSlave) throws Throwable {
try {
logger.info("set database connection to product-slave only");
DbContextHolder.setDbType(DbContextHolder.DbType.PRODUCT_SLAVE);
Object result = proceedingJoinPoint.proceed();
return result;
} finally {
DbContextHolder.clearDbType();
logger.info("restore database connection");
}
} /**
* 切换到study主库
*
* @param proceedingJoinPoint
* @param studyMaster
* @return
* @throws Throwable
*/
@Around("@annotation(studyMaster)")
public Object proceed(ProceedingJoinPoint proceedingJoinPoint, StudyMaster studyMaster) throws Throwable {
try {
logger.info("set database connection to study-master only");
DbContextHolder.setDbType(DbContextHolder.DbType.STUDY_MASTER);
Object result = proceedingJoinPoint.proceed();
return result;
} finally {
DbContextHolder.clearDbType();
logger.info("restore database connection");
}
} /**
* 切换到study从库
*
* @param proceedingJoinPoint
* @param studySlave
* @return
* @throws Throwable
*/
@Around("@annotation(studySlave)")
public Object proceed(ProceedingJoinPoint proceedingJoinPoint, StudySlave studySlave) throws Throwable {
try {
logger.info("set database connection to study-slave only");
DbContextHolder.setDbType(DbContextHolder.DbType.STUDY_SLAVE);
Object result = proceedingJoinPoint.proceed();
return result;
} finally {
DbContextHolder.clearDbType();
logger.info("restore database connection");
}
} @Override
public int getOrder() {
return 0;
}
}

5、其它事项

启用类上,一定要排除spring-boot自带的datasource配置,即:

 @SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})
@EnableAspectJAutoProxy
@ComponentScan("com.cnblogs.yjmyzz")
@MapperScan(basePackages = "com.cnblogs.yjmyzz.dao.mapper")
public class ServiceProvider {
public static void main(String[] args) {
SpringApplication.run(ServiceProvider.class, args);
}
}

第1行:@SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})

6、日志中如何输出格式化且带参数值的sql?

一般的sql输出是这样的:

spring-boot 速成(9) druid+mybatis 多数据源及读写分离的处理

我们可以把它变成下面这样:

spring-boot 速成(9) druid+mybatis 多数据源及读写分离的处理

是不是更友好!

方法:加一个mybtais的拦截器即可

package com.cnblogs.yjmyzz.db.interceptor;

import com.cnblogs.yjmyzz.util.PrettySQLFormatter;
import org.apache.ibatis.cache.CacheKey;
import org.apache.ibatis.executor.Executor;
import org.apache.ibatis.mapping.BoundSql;
import org.apache.ibatis.mapping.MappedStatement;
import org.apache.ibatis.mapping.ParameterMapping;
import org.apache.ibatis.plugin.*;
import org.apache.ibatis.reflection.MetaObject;
import org.apache.ibatis.session.Configuration;
import org.apache.ibatis.session.ResultHandler;
import org.apache.ibatis.session.RowBounds;
import org.apache.ibatis.type.TypeHandlerRegistry;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.List;
import java.util.Properties; /**
* Created by 菩提树下的杨过(http://yjmyzz.cnblogs.com/) on 28/07/2017.
*/
@Intercepts({
@Signature(type = Executor.class, method = "update", args = {MappedStatement.class, Object.class}),
@Signature(type = Executor.class, method = "query", args = {MappedStatement.class, Object.class, RowBounds.class, ResultHandler.class}),
@Signature(type = Executor.class, method = "query", args = {MappedStatement.class, Object.class, RowBounds.class, ResultHandler.class, CacheKey.class, BoundSql.class})})
public class MybatisInterceptor implements Interceptor { private static Logger logger = LoggerFactory.getLogger(MybatisInterceptor.class); private Properties properties; private final static SimpleDateFormat sdt = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); @Override
public Object intercept(Invocation invocation) throws Throwable {
MappedStatement mappedStatement = (MappedStatement) invocation.getArgs()[0];
Object parameter = null;
if (invocation.getArgs().length > 1) {
parameter = invocation.getArgs()[1];
}
String sqlId = mappedStatement.getId();
BoundSql boundSql = mappedStatement.getBoundSql(parameter);
Configuration configuration = mappedStatement.getConfiguration();
Object returnValue;
long start = System.currentTimeMillis();
returnValue = invocation.proceed();
long end = System.currentTimeMillis();
long time = (end - start);
if (time > 1) {
String sql = getSql(configuration, boundSql, sqlId, time);
logger.debug("mapper method ==> " + sql.split("\\^")[0] + "\n," + PrettySQLFormatter.getPrettySql(sql.split("\\^")[1]) + "\n\n," + "sql execute time ==> " + time + " ms\n\n");
}
return returnValue;
} @Override
public Object plugin(Object target) {
return Plugin.wrap(target, this);
} @Override
public void setProperties(Properties properties) {
this.properties = properties;
} public static String getSql(Configuration configuration, BoundSql boundSql, String sqlId, long time) {
String sql = showSql(configuration, boundSql);
StringBuilder str = new StringBuilder(100);
str.append(sqlId);
str.append("^");
str.append(sql);
str.append("^");
str.append(time);
str.append("ms");
return str.toString();
} private static String getParameterValue(Object obj) {
String value;
if (obj instanceof String) {
value = "'" + obj.toString() + "'";
} else if (obj instanceof Date) {
value = "'" + sdt.format(obj) + "'";
} else {
if (obj != null) {
value = obj.toString();
} else {
value = "";
} }
return value;
} public static String showSql(Configuration configuration, BoundSql boundSql) {
Object parameterObject = boundSql.getParameterObject();
List<ParameterMapping> parameterMappings = boundSql.getParameterMappings();
String sql = boundSql.getSql().replaceAll("[\\s]+", " ");
if (parameterMappings.size() > 0 && parameterObject != null) {
TypeHandlerRegistry typeHandlerRegistry = configuration.getTypeHandlerRegistry();
if (typeHandlerRegistry.hasTypeHandler(parameterObject.getClass())) {
sql = sql.replaceFirst("\\?", getParameterValue(parameterObject)); } else {
MetaObject metaObject = configuration.newMetaObject(parameterObject);
for (ParameterMapping parameterMapping : parameterMappings) {
String propertyName = parameterMapping.getProperty();
if (metaObject.hasGetter(propertyName)) {
Object obj = metaObject.getValue(propertyName);
sql = sql.replaceFirst("\\?", getParameterValue(obj));
} else if (boundSql.hasAdditionalParameter(propertyName)) {
Object obj = boundSql.getAdditionalParameter(propertyName);
sql = sql.replaceFirst("\\?", getParameterValue(obj));
}
}
}
}
return sql;
}
}

这里面还用了hibernate的一个小工具,用于格式化sql

package com.cnblogs.yjmyzz.util;

import org.hibernate.engine.jdbc.internal.FormatStyle;

public class PrettySQLFormatter {

    public static void print(String sql) {
System.out.println(FormatStyle.BASIC.getFormatter().format(sql));
} public static void print(String remark, String sql) {
System.out.println(remark
+ FormatStyle.BASIC.getFormatter().format(sql));
} public static String getPrettySql(String sql) {
return FormatStyle.BASIC.getFormatter().format(sql);
} public static String getPrettySql(String remark, String sql) {
return remark + FormatStyle.BASIC.getFormatter().format(sql);
} public static void main(String[] args) {
System.out.println(getPrettySql("select * from MyUser as A join MyFriend as B on A.id = B.pid where B.name like ? "));
}
}

接下来,把这个拦截器配置在mybatis-config.xml里

 <?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE configuration PUBLIC "-//mybatis.org//DTD Config 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-config.dtd">
<configuration>
<settings>
<setting name="cacheEnabled" value="true"/>
</settings> <plugins>
<plugin interceptor="com.cnblogs.yjmyzz.db.interceptor.MybatisInterceptor">
</plugin>
</plugins> </configuration>

最后在application.yml里指定mybatis-config.xml所在的路径:

spring-boot 速成(9) druid+mybatis 多数据源及读写分离的处理

示例源码见:https://github.com/yjmyzz/spring-boot-dubbo-demo (dubbox2.8.5-multi-ds分支)