多平台统一管理软件接口,如何实现多平台统一管理软件接口
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2023-06-16
Spring+MyBatis多数据源配置实现示例
最近用到了MyBatis配置多数据源,原以为简单配置下就行了,实际操作后发现还是要费些事的,这里记录下,以作备忘
不多废话,直接上代码,后面会有简单的实现介绍
jdbc和log4j的配置
#定义输出格式
ConversionPattern=%d %-5p [%t] %c - %m%n
log4j.rootLogger=DEBUG,Console
log4j.logger.com.cnblogs.lzrabbit=DEBUG
log4j.logger.org.springframework=ERROR
log4j.logger.org.mybatis=ERROR
log4j.logger.org.apache.ibatis=ERROR
log4j.logger.org.quartz=ERROR
log4j.logger.org.apache.axis2=ERROR
log4j.logger.org.apache.axiom=ERROR
log4j.logger.org.apache=ERROR
log4j.logger.httpclient=ERROR
#log4j.additivity.org.springframework=false
#Console
log4j.appender.Console=org.apache.log4j.ConsoleAppender
log4j.appender.Console.Threshold=DEBUG
log4j.appender.Console.Target=System.out
log4j.appender.Console.layout=org.apache.log4j.PatternLayout
log4j.appender.Console.layout.ConversionPattern=${ConversionPattern}
#log4j.appender.Console.encoding=UTF-8
#org.apache.log4j.DailyRollingFileAppender
log4j.appender.DailyFile=org.apache.log4j.DailyRollingFileAppender
log4j.appender.DailyFile.DatePattern='.'yyyy-MM-dd'.log'
log4j.appender.DailyFile.File=${myApp.root}/logs/daily.log
log4j.appender.DailyFile.Append=true
log4j.appender.DailyFile.Threshold=DEBUG
log4j.appender.DailyFile.layout=org.apache.log4j.PatternLayout
log4j.appender.DailyFile.layout.ConversionPattern=${ConversionPattern}
log4j.appender.DailyFile.encoding=UTF-8
# %c 输出日志信息所属的类的全名
# %d 输出日志时间点的日期或时间,默认格式为ISO8601,也可以在其后指定格式,比如:%d{yyy-MM-dd HH:mm:ss},输出类似:2002-10-18- 22:10:28
# %f 输出日志信息所属的类的类名
# %l 输出日志事件的发生位置,即输出日志信息的语句处于它所在的类的第几行
# %m 输出代码中指定的信息,如log(message)中的message
# %n 输出一个回车换行符,Windows平台为“rn”,Unix平台为“n”
# %p 输出优先级,即DEBUG,INFO,WARN,ERROR,FATAL。如果是调用debug()输出的,则为DEBUG,依此类推
# %r 输出自应用启动到输出该日志信息所耗费的毫秒数
# %t 输出产生该日志事件的线程名
#============================================================================
# mysql
#============================================================================
jdbc.mysql.driver=com.mysql.jdbc.Driver
jdbc.mysql.url=jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true
jdbc.mysql.username=root
jdbc.mysql.password=root
#============================================================================
# MS SQL Server
#============================================================================
#jdbc.sqlserver.driver=com.microsoft.sqlserver.jdbc.SQLServerDriver
#jdbc.sqlserver.url=jdbc:sqlserver://127.0.0.1:1433;database=test;
#jdbc.sqlserver.username=sa
#jdbc.sqlserver.password=sa
#============================================================================
# MS SQL Server (JTDS)
#============================================================================
jdbc.sqlserver.driver=net.sourceforge.jtds.jdbc.Driver
jdbc.sqlserver.url=jdbc:jtds:sqlserver://127.0.0.1:1433/test
jdbc.sqlserver.username=sa
jdbc.sqlserver.password=sa
#============================================================================
# 通用配置
#============================================================================
jdbc.initialSize=5
jdbc.minIdle=5
jdbc.maxIdle=20
jdbc.maxActive=100
jdbc.maxWait=100000
jdbc.defaultAutoCommit=false
jdbc.removeAbandoned=true
jdbc.removeAbandonedTimeout=600
jdbc.testWhileIdle=true
jdbc.timeBetweenEvictionRunsMillis=60000
jdbc.numTestsPerEvictionRun=20
jdbc.minEvictableIdleTimeMillis=300000
单数据源时的Spring配置文件
xmlns:context="http://springframework.org/schema/context" xmlns:aop="http://springframework.org/schema/aop" xsi:schemaLocation="http://springframework.org/schema/beans http://springframework.org/schema/beans/spring-beans-3.0.xsd http://springframework.org/schema/context http://springframework.org/schema/context/spring-context-3.0.xsd http://springframework.org/schema/aop http://springframework.org/schema/aop/spring-aop-3.0.xsd">
xmlns:context="http://springframework.org/schema/context"
xmlns:aop="http://springframework.org/schema/aop"
xsi:schemaLocation="http://springframework.org/schema/beans
http://springframework.org/schema/beans/spring-beans-3.0.xsd
http://springframework.org/schema/context
http://springframework.org/schema/context/spring-context-3.0.xsd
http://springframework.org/schema/aop
http://springframework.org/schema/aop/spring-aop-3.0.xsd">
多数据源时Spring配置文件
xmlns:context="http://springframework.org/schema/context" xmlns:aop="http://springframework.org/schema/aop" xsi:schemaLocation="http://springframework.org/schema/beans http://springframework.org/schema/beans/spring-beans-3.0.xsd http://springframework.org/schema/context http://springframework.org/schema/context/spring-context-3.0.xsd http://springframework.org/schema/aop http://springframework.org/schema/aop/spring-aop-3.0.xsd">
xmlns:context="http://springframework.org/schema/context"
xmlns:aop="http://springframework.org/schema/aop"
xsi:schemaLocation="http://springframework.org/schema/beans
http://springframework.org/schema/beans/spring-beans-3.0.xsd
http://springframework.org/schema/context
http://springframework.org/schema/context/spring-context-3.0.xsd
http://springframework.org/schema/aop
http://springframework.org/schema/aop/spring-aop-3.0.xsd">
MultipleDataSource实现
package com.cnblogs.lzrabbit;
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
/**
* Created by rabbit on 14-5-25.
*/
public class MultipleDataSource extends AbstractRoutingDataSource {
private static final ThreadLocal
public static void setDataSourceKey(String dataSource) {
dataSourceKey.set(dataSource);
}
@Override
protected Object determineCurrentLookupKey() {
return dataSourceKey.get();
}
}
MyBatis接口Mapper定义,直接使用注解方式实现
public interface MySqlMapper {
@Select("select * from MyTable")
List
}
public interface SqlServerMapper {
@Select("select * from MyTable")
List
}
手动数据源切换调用
package com.cnblogs.lzrabbit;
import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;
/**
* Created by rabbit on 14-5-25.
*/
public class Main {
public static void main(String[] args) {
//初始化ApplicationContext
ApplicationContext applicationContext = new ClassPathXmlApplicationContext("applicationContext.xml");
MySqlMapper mySqlMapper = applicationContext.getBean(MySqlMapper.class);
SqlServerMapper sqlServerMapper = applicationContext.getBean(SqlServerMapper.class);
//设置数据源为MySql,使用了AOP测试时请将下面这行注释
MultipleDataSource.setDataSourceKey("mySqlDataSource");
mySqlMapper.getList();
//设置数据源为SqlServer,使用AOP测试时请将下面这行注释
MultipleDataSource.setDataSourceKey("sqlServerDataSource");
sqlServerMapper.getList();
}
}
使用SpringAOP方式实现自动切换
package com.cnblogs.lzrabbit;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.springframework.stereotype.Component;
@Component
@Aspect
public class MultipleDataSourceAspectAdvice {
@Around("execution(* com.cnblogs.lzrabbit.*.*(..))")
public Object doAround(ProceedingJoinPoint jp) throws Throwable {
if (jp.getTarget() inshttp://tanceof MySqlMapper) {
MultipleDataSource.setDataSourceKey("mySqlDataSource");
} else if (jp.getTarget() instanceof SqlServerMapper) {
MultipleDataSource.setDataSourceKey("sqlServerDataSource");
}
return jp.proceed();
}
}
调用日志
2014-05-25 20:02:04,319 DEBUG [main] com.jb51.lzrabbit.MySqlMapper.getList - ooo Using Connection [jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true, UserName=root@192.168.1.32, MySQL Connector java]
2014-05-25 20:02:04,333 DEBUG [main] com.jb51.lzrabbit.MySqlMapper.getList - ==> Preparing: select * from MyTable
2014-05-25 20:02:04,371 DEBUG [main] com.jb51.lzrabbit.MySqlMapper.getList - ==> Parameters:
2014-05-25 20:02:04,396 DEBUG [main] com.jb51.lzrabbit.MySqlMapper.getList - <== Total: 8
2014-05-25 20:02:04,620 DEBUG [main] com.jb51.lzrabbit.SqlServerMapper.getList - ooo Using Connection [jdbc:jtds:sqlserver://127.0.0.1:1433/test, UserName=sa, jTDS Type 4 JDBC Driver for MS SQL Server and Sybase]
2014-05-25 20:02:04,620 DEBUG [main] com.jb51.lzrabbit.SqlServerMapper.getList - ==> Preparing: select * from TmallCityMap
2014-05-25 20:02:04,621 DEBUG [main] com.jb51.lzrabbit.SqlServerMapper.getList - ==> Parameters:
2014-05-25 20:02:04,681 DEBUG [main] com.jb51.lzrabbit.SqlServerMapper.getList - <== Total: 397
这里就上面的实现做个简单解释,在我们配置单数据源时可以看到数据源类型使用了org.apache.commons.dbcp.BasicDataSource,而这个代码实现了javax.sql.DataSource接口
配置sqlSessionFactory时org.mybatis.spring.SqlSessionFactoryBean注入参数dataSource类型就是javax.sql.DataSource
实现多数据源的方法就是我们自定义了一个MultipleDataSource,这个类继承自AbstractRoutingDataSource,而AbstractRoutingDataSource继承自AbstractDataSource ,AbstractDataSource 实现了javax.sql.DataSource接口,所以我们的MultipleDataSource也实现了javax.sql.DataSource接口,可以赋值给sqlSessionFactory的dataSource属性
public abstract class AbstractRoutingDataSource extends AbstractDataSource implements InitializingBean {}
public abstract class AbstractDataSource implements DataSource {}
再来说下MultipleDataSource的实现原理,MultipleDataSource实现AbstractRoutingDataSource抽象类,然后实现了determineCurrentLookupKey方法,这个方法用于选择具体使用targetDataSources中的哪一个数据源
可以看到Spring配置中multipleDataSource设置了两个属性defaultTargetDataSource和targetDataSources,这两个属性定义在AbstractRoutingDataSource,当MyBatis执行查询时会先选择数据源,选择顺序时现根据determineCurrentLookupKey方法返回的值到targetDataSources中去找,若能找到怎返回对应的数据源,若找不到返回默认的数据源defaultTargetDataSource,具体参考AbstractRoutingDataSource的源码
public abstract class AbstractRoutingDataSource extends AbstractDataSource implements InitializingBean {
private Map
private Object defaultTargetDataSource;
/**
* Retrieve the current target DataSource. Determines the
* {@link #determineCurrentLookupKey() current lookup key}, performs
* a lookup in the {@link #setTargetDataSources targetDataSources} map,
* falls back to the specified
* {@link #setDefaultTargetDataSource default target DataSource} if necessary.
* @see #determineCurrentLookupKey()
*/
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();
.............
}
在动态切换数据源方法时选择了AOP方式实现,这里实现的简单粗暴,具体应用时根据实际需要灵活变通吧
题外话,这里提下SqlServer驱动选择的问题,目前SqlServer的驱动主要有微软的官方驱动和JTDS驱动两种,关于这两个驱动我做过测试,批量更新,在小数据量(100以下)时,JTDS相对微软驱动性能稍微高一点点,在数据量增大时几万到上百万时,微软驱动有着明显优势,所以若对性能比较敏感,建议使用微软驱动,否则随意
微软驱动在Maven库找不到,这点比较郁闷,若使用maven的话还得先安装到本地,这点很不爽
JTDS使用比较方便Maven直接引用即可
相关jar maven引用
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