springboot 动态数据源的实现方法(Mybatis+Druid)

网友投稿 420 2023-01-14


springboot 动态数据源的实现方法(Mybatis+Druid)

实现方式

方式1的实现(核心代码):

@Configuration

@MapperScan(basePackages = "com.goofly.test1", sqlSessionTemplateRef = "test1SqlSessionTemplate")

public class DataSource1Config1 {

@Bean(name = "dataSource1")

@ConfigurationProperties(prefix = "spring.datasource.test1")

@Primary

public DataSource testDataSource() {

return DataSourceBuilder.create().build();

}

// .....略

}

@Configuration

@MapperScan(basePackages = "com.goofly.test2", sqlSessionTemplateRef = "test1SqlSessionTemplate")

public class DataSourceConfig2 {

@Bean(name = "dataSource2")

@ConfigurationProperties(prefix = "spring.datasource.test2")

@Primary

public DataSource testDataSource() {

return DataSourceBuilder.create().build();

}

// .....略

}

方式2的实现(核心代码):

public class DynamicRoutingDataSource extends AbstractRoutingDataSource {

private static final Logger log = Logger.getLogger(DynamicRoutingDataSource.class);

@Override

protected Object determineCurrentLookupKey() {

//从ThreadLocal中取值

return DynamicDataSourceContextHolder.get();

}

}

设计思路

当请求经过被注解修饰的类后,此时会进入到切面逻辑中。

切面逻辑会获取注解中设置的key值,然后将该值存入到ThreadLocal中

执行完切面逻辑后,会执行AbstractRoutingDataSource.determineCurrentLookupKey()方法,然后从ThreadLocal中获取之前设置的key值,然后将该值返回。

由于AbstractRoutingDataSource的targetDataSources是一个map,保存了数据源key和数据源的对应关系,所以能够顺利的找到该对应的数据源。

源码解读

org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource,如下:

public abstract class AbstractRoutingDataSource extends AbstractDataSource implements InitializingBean {

private Map targetDataSources;

private Object defaultTargetDataSource;

private boolean lenientFallback = true;

private DataSourceLookup dataSourceLookup = new JndiDataSourceLookup();

private Map resolvedDataSources;

private DataSource resolvedDefaultDataSource;

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;

}

/**

* Determine the current lookup key. This will typically be

* implemented to check a thread-bound transaction context.

*

Allows for arbitrary keys. The returned key needs

* to match the stored lookup key type, as resolved by the

* {@link #resolveSpecifiedLookupKey} method.

*/

protected abstract Object determineCurrentLookupKey();

//........略

targetDataSources是一个map结构,保存了key与数据源的对应关系;

dataSourceLookup是一个DataSourceLookup类型,默认实现是JndiDataSourceLookup。点开该类源码会发现,它实现了通过key获取DataSource的逻辑。当然,这里可以通过setDataSourceLookup()来改变其属性,因为关于此处有一个坑,后面会讲到。

public class JndiDataSourceLookup extends JndiLocatorSupport implements DataSourceLookup {

public JndiDataSourceLookup() {

setResourceRef(true);

}

@Override

public DataSource getDataSource(String dataSourceName) throws DataSourceLookupFailureException {

try {

return lookup(dataSourceName, DataSource.class);

}

catch (NamingException ex) {

throw new DataSourceLookupFailureException(

"Failed to look up JNDI DataSource with name '" + dataSourceName + "'", ex);

}

}

}

组件使用

多数据源

# db1

spring.datasource.master.url = jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=false

spring.datasource.master.username = root

spring.datasource.master.password = 123456

spring.datasource.master.driverClassName = com.mysql.jdbc.Driver

spring.datasource.master.validationQuery = true

spring.datasource.master.testOnBorrow = true

## db2

spring.datasource.slave.url = jdbc:mysql://127.0.0.1:3306/test1?useUnicode=true&characterEncoding=utf8&useSSL=false

spring.datasource.slave.username = root

spring.datasource.slave.password = 123456

spring.datasource.slave.driverClassName = com.mysql.jdbc.Driver

spring.datasource.slave.validationQuery = true

spring.datasource.slave.testOnBorrow = true

#主数据源名称

spring.maindb=master

#mapperper包路径

mapper.basePackages =com.btps.xli.multidb.demo.mapper

单数据源

示例配置1(配置数据源名称):

spring.datasource.master.url = jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=false

spring.datasource.master.username = root

spring.datasource.master.password = 123456

spring.datasource.master.driverClassName = com.mysql.jdbc.Driver

spring.datasource.master.validationQuery = true

spring.datasource.master.testOnBorrow = true

# mapper包路径

mapper.basePackages = com.goofly.xli.multidb.demo.mapper

# 主数据源名称

spring.maindb=master

示例配置2(不配置数据源名称):

spring.datasource.url = jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=false

spring.datasource.username = root

spring.datasource.password = 123456

spring.datasource.driverClassName = com.mysql.jdbc.Driver

spring.datasource.validationQuery = true

spring.datasource.testOnBorrow = true

# mapper包路径

mapper.basePackages = com.goofly.xli.multidb.demo.mapper

踩坑之路

多数据源的循环依赖

Description:

The dependencies of some of the beans in the application context form a cycle:

happinessController (field private com.db.service.HappinessService com.db.controller.HappinessController.happinessService)

http:// ↓

happinessServiceImpl (field private com.db.mapper.MasterDao com.db.service.HappinessServiceImpl.masterDao)

masterDao defined in file [E:\GitRepository\framework-gray\test-db\target\classes\com\db\mapper\MasterDao.class]

sqlSessionFactory defined in class path resource [com/goofly/xli/datasource/core/DynamicDataSourceConfiguration.class]

┌─────┐

| dynamicDataSource defined in class path resource [com/goofly/xli/datasource/core/DynamicDataSourceConfiguration.class]

↑ ↓

| firstDataSource defined in class path resource [com/goofly/xli/datasource/core/DynamicDataSourceConfiguration.class]

↑ ↓

| dataSourceInitializer

解决方案:

在Spring boot启动的时候排除DataSourceAutoConfiguration即可。如下:

@SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})

public class DBMain {

public static void main(String[] args) {

SpringApplication.run(DBMain.class, args);

}

}

因此这种方式也不会出现循环依赖的问题!

动态刷新数据源

笔者在设计之初是想构建一个动态刷新数据源的方案,所以利用了SpringCloud的@RefreshScope去标注数据源,然后利用RefreshScope#refresh实现刷新。但是在实验的时候发现由Druid创建的数据源会因此而关闭,由Spring的DataSourceBuilder创建的数据源则不会发生任何变化。

​ 最后关于此也没能找到解决方案。同时思考,如果只能的可以实现动态刷新的话,那么数据源的原有连接会因为刷新而中断吗还是会有其他处理?

多数据源事务

有这么一种特殊情况,一个事务中调用了两个不同数据源,这个时候动态切换数据源会因此而失效。

翻阅了很多文章,大概找了2中解决方案,一种是Atomikos进行事务管理,但是貌似性能并不是很理想。

另外一种则是通过优先级控制,切面的的优先级必须要大于数据源的优先级,用注解@Order控制。

此处留一个坑!

git代码地址


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