本文将介绍使用Spring Boot集成Mybatis并实现主从库分离的实现(同样适用于多数据源)。延续之前的Spring Boot 集成MyBatis。项目还将集成分页插件PageHelper、通用Mapper以及Druid。
新建一个Maven项目,最终项目结构如下:
多数据源注入到sqlSessionFactory
POM增加如下依赖:
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<!--JSON-->
< dependency >
< groupId >com.fasterxml.jackson.core</ groupId >
< artifactId >jackson-core</ artifactId >
</ dependency >
< dependency >
< groupId >com.fasterxml.jackson.core</ groupId >
< artifactId >jackson-databind</ artifactId >
</ dependency >
< dependency >
< groupId >com.fasterxml.jackson.datatype</ groupId >
< artifactId >jackson-datatype-joda</ artifactId >
</ dependency >
< dependency >
< groupId >com.fasterxml.jackson.module</ groupId >
< artifactId >jackson-module-parameter-names</ artifactId >
</ dependency >
< dependency >
< groupId >org.springframework.boot</ groupId >
< artifactId >spring-boot-starter-jdbc</ artifactId >
</ dependency >
< dependency >
< groupId >mysql</ groupId >
< artifactId >mysql-connector-java</ artifactId >
</ dependency >
< dependency >
< groupId >com.alibaba</ groupId >
< artifactId >druid</ artifactId >
< version >1.0.11</ version >
</ dependency >
<!--mybatis-->
< dependency >
< groupId >org.mybatis.spring.boot</ groupId >
< artifactId >mybatis-spring-boot-starter</ artifactId >
< version >1.1.1</ version >
</ dependency >
<!--mapper-->
< dependency >
< groupId >tk.mybatis</ groupId >
< artifactId >mapper-spring-boot-starter</ artifactId >
< version >1.1.0</ version >
</ dependency >
<!--pagehelper-->
< dependency >
< groupId >com.github.pagehelper</ groupId >
< artifactId >pagehelper-spring-boot-starter</ artifactId >
< version >1.1.0</ version >
< exclusions >
< exclusion >
< artifactId >mybatis-spring-boot-starter</ artifactId >
< groupId >org.mybatis.spring.boot</ groupId >
</ exclusion >
</ exclusions >
</ dependency >
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这里需要注意的是:项目是通过扩展mybatis-spring-boot-starter的org.mybatis.spring.boot.autoconfigure.MybatisAutoConfiguration来实现多数据源注入的。在mybatis-spring-boot-starter:1.2.0中,该类取消了默认构造函数,因此本项目依旧使用1.1.0版本。需要关注后续版本是否会重新把扩展开放处理。
之所以依旧使用旧方案,是我个人认为开放扩展是合理的,相信在未来的版本中会回归。
如果你需要其他方案可参考传送门
增加主从库配置(application.yml)
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druid:
type: com.alibaba.druid.pool.DruidDataSource
master:
url: jdbc:mysql://192.168.249.128:3307/db-test?characterEncoding=UTF-8&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useUnicode=true
driver-class-name: com.mysql.jdbc.Driver
username: root
password: root
initial-size: 5
min-idle: 1
max-active: 100
test-on-borrow: true
slave:
url: jdbc:mysql://192.168.249.128:3317/db-test?characterEncoding=UTF-8&autoReconnect=true&zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf-8
driver-class-name: com.mysql.jdbc.Driver
username: root
password: root
initial-size: 5
min-idle: 1
max-active: 100
test-on-borrow: true
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创建数据源
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@Configuration
@EnableTransactionManagement
public class DataSourceConfiguration {
@Value ( "${druid.type}" )
private Class<? extends DataSource> dataSourceType;
@Bean (name = "masterDataSource" )
@Primary
@ConfigurationProperties (prefix = "druid.master" )
public DataSource masterDataSource(){
return DataSourceBuilder.create().type(dataSourceType).build();
}
@Bean (name = "slaveDataSource" )
@ConfigurationProperties (prefix = "druid.slave" )
public DataSource slaveDataSource1(){
return DataSourceBuilder.create().type(dataSourceType).build();
}
}
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将多数据源注入到sqlSessionFactory中
前面提到了这里通过扩展mybatis-spring-boot-starter的org.mybatis.spring.boot.autoconfigure.MybatisAutoConfiguration来实现多数据源注入的
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@Configuration
@AutoConfigureAfter ({DataSourceConfiguration. class })
public class MybatisConfiguration extends MybatisAutoConfiguration {
private static Log logger = LogFactory.getLog(MybatisConfiguration. class );
@Resource (name = "masterDataSource" )
private DataSource masterDataSource;
@Resource (name = "slaveDataSource" )
private DataSource slaveDataSource;
@Bean
public SqlSessionFactory sqlSessionFactory() throws Exception {
return super .sqlSessionFactory(roundRobinDataSouceProxy());
}
public AbstractRoutingDataSource roundRobinDataSouceProxy(){
ReadWriteSplitRoutingDataSource proxy = new ReadWriteSplitRoutingDataSource();
Map<Object,Object> targetDataResources = new ClassLoaderRepository.SoftHashMap();
targetDataResources.put(DbContextHolder.DbType.MASTER,masterDataSource);
targetDataResources.put(DbContextHolder.DbType.SLAVE,slaveDataSource);
proxy.setDefaultTargetDataSource(masterDataSource); //默认源
proxy.setTargetDataSources(targetDataResources);
return proxy;
}
}
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实现读写分离(多数据源分离)
这里主要思路如下:
1-将不同的数据源标识记录在ThreadLocal中
2-通过注解标识出当前的service方法使用哪个库
3-通过Spring AOP实现拦截注解并注入不同的标识到threadlocal中
4-获取源的时候通过threadlocal中不同的标识给出不同的sqlSession
标识存放ThreadLocal的实现
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public class DbContextHolder {
public enum DbType{
MASTER,SLAVE
}
private static final ThreadLocal<DbType> contextHolder = new ThreadLocal<>();
public static void setDbType(DbType dbType){
if (dbType== null ) throw new NullPointerException();
contextHolder.set(dbType);
}
public static DbType getDbType(){
return contextHolder.get()== null ?DbType.MASTER:contextHolder.get();
}
public static void clearDbType(){
contextHolder.remove();
}
}
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注解实现
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/**
* 该注解注释在service方法上,标注为链接slaves库
* Created by Jason on 2017/3/6.
*/
@Target ({ElementType.METHOD,ElementType.TYPE})
@Retention (RetentionPolicy.RUNTIME)
public @interface ReadOnlyConnection {
}
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Spring AOP对注解的拦截
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@Aspect
@Component
public class ReadOnlyConnectionInterceptor implements Ordered {
public static final Logger logger = LoggerFactory.getLogger(ReadOnlyConnectionInterceptor. class );
@Around ( "@annotation(readOnlyConnection)" )
public Object proceed(ProceedingJoinPoint proceedingJoinPoint,ReadOnlyConnection readOnlyConnection) throws Throwable {
try {
logger.info( "set database connection to read only" );
DbContextHolder.setDbType(DbContextHolder.DbType.SLAVE);
Object result = proceedingJoinPoint.proceed();
return result;
} finally {
DbContextHolder.clearDbType();
logger.info( "restore database connection" );
}
}
@Override
public int getOrder() {
return 0 ;
}
}
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根据标识获取不同源
这里我们通过扩展AbstractRoutingDataSource来获取不同的源。它是Spring提供的一个可以根据用户发起的不同请求去转换不同的数据源,比如根据用户的不同地区语言选择不同的数据库。通过查看源码可以发现,它是通过determineCurrentLookupKey()返回的不同key到sqlSessionFactory中获取不同源(前面已经展示了如何在sqlSessionFactory中注入多个源)
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public class ReadWriteSplitRoutingDataSource extends AbstractRoutingDataSource {
@Override
protected Object determineCurrentLookupKey() {
return DbContextHolder.getDbType();
}
}
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以上就完成了读写分离(多数据源)的配置方案。下面是一个具体的实例
使用方式
Entity
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@Table (name = "t_sys_dic_type" )
public class DicType extends BaseEntity{
String code;
String name;
Integer status;
...
}
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Mapper
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public interface DicTypeMapper extends BaseMapper<DicType> {
}
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Service
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@Service
public class DicTypeService {
@Autowired
private DicTypeMapper dicTypeMapper;
@ReadOnlyConnection
public List<DicType> getAll(DicType dicType){
if (dicType.getPage() != null && dicType.getRows() != null ) {
PageHelper.startPage(dicType.getPage(), dicType.getRows());
}
return dicTypeMapper.selectAll();
}
}
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注意这里的@ReadOnlyConnection注解
Controller
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@RestController
@RequestMapping ( "/dictype" )
public class DicTypeController {
@Autowired
private DicTypeService dicTypeService;
@RequestMapping (value = "/all" )
public PageInfo<DicType> getALL(DicType dicType){
List<DicType> dicTypeList = dicTypeService.getAll(dicType);
return new PageInfo<>(dicTypeList);
}
}
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通过mvn spring-boot:run启动后,即可通过http://localhost:9090/dictype/all 获取到数据
后台打印出
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c.a.d.m.ReadOnlyConnectionInterceptor : set database connection to read only
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说明使用了从库的链接获取数据
备注:如何保证多源事务呢?
1-在读写分离场景中不会考虑主从库事务,在纯读的上下文上使用@ReadOnlyConnection标签。其他则默认使用主库。
2-在多源场景中,Spring的@Transaction是可以保证多源的事务性的。
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:http://www.jianshu.com/p/8813ec02926a