多数据源的配置,详细(新手,错误之处,请指正)

   大型应用为了实现读写分离,便于数据的管理,提高系统的水平伸缩性,往往会用到多数据源。
 
1,数据源是对应不同数据库的,为了方便操作可以写一个数据库的配置文件
 
UPDATE_MYSQL.type=mysql
UPDATE_MYSQL.autoCommitOnClose=false
UPDATE_MYSQL.driverClassName=com.mysql.jdbc.Driver
UPDATE_MYSQL.url=jdbc:mysql://192.168.1.139:3306/testdatabase?useUnicode=true&characterEncoding=UTF-8&useOldAliasMetadataBehavior=true
UPDATE_MYSQL.username=xccmysql
UPDATE_MYSQL.password=xccW7W8
UPDATE_MYSQL.initialPoolSize=5
 
 
SELECT_MYSQL.type=mysql
SELECT_MYSQL.autoCommitOnClose=false
SELECT_MYSQL.driverClassName=com.mysql.jdbc.Driver
SELECT_MYSQL.url=jdbc:mysql://192.168.1.139:3306/testmuti?useUnicode=true&characterEncoding=UTF-8&useOldAliasMetadataBehavior=true
SELECT_MYSQL.username=root
SELECT_MYSQL.password=xcc2009081231
SELECT_MYSQL.initialPoolSize=5
 
2,然后再spring的配置文件里添加不同的数据源
 
<!-- 数据源的配置 -->
     <bean id ="update_dataSource" class= "org.apache.commons.dbcp.BasicDataSource" destroy-method="close" >
           <property name ="driverClassName" value= "${UPDATE_MYSQL.driverClassName}" />
           <property name ="url" value="${UPDATE_MYSQL.url}" />
           <property name ="username" value= "${UPDATE_MYSQL.username}" />
           <property name ="password" value= "${UPDATE_MYSQL.password}" />
           <!-- data source configuration -->
           <property name ="initialSize" value= "${UPDATE_MYSQL.initialPoolSize}" /> <!-- initial connections -->
           <property name ="maxActive" value="10" /><!-- MAX connections -->
           <property name ="maxIdle" value="10" /><!-- MAX idle connections -->
           <property name ="minIdle" value="5" /><!-- MIN idle connections -->
           <!-- 处理mysql 8小时自动断开连接的问题 -->
           <property name ="testWhileIdle" value= "true" />
           <property name ="testOnBorrow" value= "false" />
           <property name ="testOnReturn" value= "false" />
           <property name ="validationQuery" value= "select 1" />
           <property name ="timeBetweenEvictionRunsMillis" value= "20000" />
           <property name ="numTestsPerEvictionRun" value= "100" />
     </bean >
     
     
     <bean id ="select_dataSource" class= "org.apache.commons.dbcp.BasicDataSource" destroy-method="close" >
           <property name ="driverClassName" value= "${UPDATE_MYSQL.driverClassName}" />
           <property name ="url" value="${SELECT_MYSQL.url}" />
           <property name ="username" value= "${SELECT_MYSQL.username}" />
           <property name ="password" value= "${SELECT_MYSQL.password}" />
           <!-- data source configuration -->
           <property name ="initialSize" value= "${SELECT_MYSQL.initialPoolSize}" /> <!-- initial connections -->
           <property name ="maxActive" value="10" /><!-- MAX connections -->
           <property name ="maxIdle" value="10" /><!-- MAX idle connections -->
           <property name ="minIdle" value="5" /><!-- MIN idle connections -->
           <!-- 处理mysql 8小时自动断开连接的问题 -->
           <property name ="testWhileIdle" value= "true" />
           <property name ="testOnBorrow" value= "false" />
           <property name ="testOnReturn" value= "false" />
           <property name ="validationQuery" value= "select 1" />
           <property name ="timeBetweenEvictionRunsMillis" value= "20000" />
           <property name ="numTestsPerEvictionRun" value= "100" />
     </bean >
 
3,数据源准备好之后,基本工作,已完成,先放在一边,我们去java里面写数据源的名称常量类
 
package org.iwall.muti.datasource;
/**
 *
 * @author Lee
 *
 */
public class DataSourceNames {
     public static final String UPDATE_MYSQL="update_dataSource" ;
     public static final String SELECT_MYSQL = "select_dataSource";
}
 
4,建立一个类,负责改变数据源的名称(其实可使用spring的注解切换不同的数据源)
 
package org.iwall.muti.datasource;
 
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
/**
 *  获得和设置上下文环境 主要负责改变上下文数据源的名称
 * @author Lee
 *
 */
public class DataSourceContextHolder {
    private static final ThreadLocal contextHandler = new ThreadLocal(); // 线程本地环境
    public static Log log = LogFactory.getLog(DataSourceContextHolder.class);
    // 设置数据源类型
    public static void setDataSourceType(String dataSourceType) {
        log.info("set dataSource:" + dataSourceType);
        contextHandler.set(dataSourceType);
    }
 
    // 获取数据源类型   
    public static String getDataSourceType() {
        return (String) contextHandler.get();
    }
 
    // 清除数据源类型
    public static void clearDataSourceType() {
        contextHandler.remove();
    }
}
 
 
 
5,建立动态数据源,主要实现 determineCurrentLookupKey这个方法
 
package org.iwall.muti.datasource;
 
import java.util.Map;
 
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import org.springframework.jdbc.datasource.lookup.DataSourceLookup;
/**
 *
 * @author Lee
 *
 */
public class DynamicDataSource extends AbstractRoutingDataSource implements InitializingBean {
    private Log log = LogFactory.getLog(DynamicDataSource.class);
 
    /* 
     * 该方法必须要重写  方法是为了根据数据库标示符取得当前的数据库 既是获得数据源类型
     */ 
    @Override 
    public Object determineCurrentLookupKey() { 
        log.info("starting determineCurrentLookupKey:" + DataSourceContextHolder.getDataSourceType());
        return DataSourceContextHolder.getDataSourceType();
    } 
 
    @Override 
    public void setDataSourceLookup(DataSourceLookup dataSourceLookup) { 
        log.info("starting setDataSourceLookup:" + DataSourceContextHolder.getDataSourceType());
        super.setDataSourceLookup(dataSourceLookup); 
    } 
 
    @Override 
    public void setDefaultTargetDataSource(Object defaultTargetDataSource) {
        log.info("starting setDefaultTargetDataSource:" + DataSourceContextHolder.getDataSourceType());
        super.setDefaultTargetDataSource(defaultTargetDataSource); 
    } 
 
    @Override 
    public void setTargetDataSources(Map targetDataSources) {
        System.out.println("starting setTargetDataSources:" + DataSourceContextHolder.getDataSourceType());
        super.setTargetDataSources(targetDataSources); 
        //重点 
        super.afterPropertiesSet(); 
    }
 
}
 
 
 
6,数据源配置完了,java对应的类也写完了,就需要写映射关系了,其中key是对应java类里的数据源常量名,value是配置文件里的数据源名
 
<bean id= "dynamicDataSource" class= "org.iwall.muti.datasource.DynamicDataSource" >
           <!-- 通过key-value的形式来关联数据源 -->
           <property name ="targetDataSources">
               <map key-type ="java.lang.String">
                    <entry key ="update_dataSource" value-ref="update_dataSource" ></entry>
                    <entry key ="select_dataSource" value-ref="select_dataSource" ></entry>
               </map>
           </property>
           <property name ="defaultTargetDataSource" ref= "update_dataSource">
           </property>
 </bean >
 
7,如果没有使用hibernate,mybatis等数据交互的框架,用spring的模板jdbc的话,注入一下就好
 
<bean id= "jdbcTemplate" class= "org.springframework.jdbc.core.JdbcTemplate" >
           <constructor-arg ref ="dynamicDataSource" />
 </bean >
 
8,总结下,这种方式,便于维护,基本只用修改数据库配置文件和spring配置文件即可。但是多个用户访问会争抢datasource,系统性能
会降低,(没测试过)。
 
 
 
 
posted @ 2016-04-28 15:58  安安安之  阅读(875)  评论(0)    收藏  举报