首先web.xml文件跟往常一样,加载spring容器和加载org.springframework.web.context.ContextLoaderListener读取applicationContext.xml文件初进行始化。
使用spring整合jdbc工具步骤:
1.使用连接池com.mchange.v2.c3p0.ComboPooledDataSource等工具创建数据源。
2.把数据源交给LazyConnectionDataSourceProxy进行管理
3.把LazyConnectionDataSourceProxy管理的数据源注入到需要的JavaBean中
applicationContext.xml文件内容
<?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p" xmlns:context="http://www.springframework.org/schema/context" xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx" xmlns:dwr="http://www.directwebremoting.org/schema/spring-dwr" xmlns:jaxws="http://cxf.apache.org/jaxws" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.2.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.2.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.2.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.2.xsd http://cxf.apache.org/jaxws http://cxf.apache.org/schemas/jaxws.xsd"> <!-- 读取jdbc的配置文件中的jdbc连接属性 (以下两种都可以)--> <!-- <bean id="propertyConfigurer" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer" lazy-init="false"> <property name="locations"> <list> <value>classpath*:jdbc.properties</value> </list> </property> </bean> --> <bean class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer"> <property name="locations"> <value>classpath*:jdbc.properties</value> </property> </bean> <!-- 配置数据源 --> <bean id="mainDataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource" destroy-method="close"> <property name="driverClass"> <value>${db.driverClass}</value> </property> <property name="jdbcUrl"> <value>${db.url}</value> </property> <property name="user"> <value>${db.userName}</value> </property> <property name="password"> <value>${db.password}</value> </property> <property name="minPoolSize"> <value>20</value> </property> <property name="maxPoolSize"> <value>100</value> </property> <property name="initialPoolSize"> <value>20</value> </property> <property name="maxIdleTime"> <value>7200</value> </property> <property name="acquireIncrement"> <value>10</value> </property> <property name="maxStatements"> <value>20</value> </property> <!-- 每60秒检查所有连接池中的空闲连接。Default: 0 --> <property name="idleConnectionTestPeriod"> <value>60</value> </property> <!-- 定义在从数据库获取新连接失败后重复尝试的次数。Default: 30 --> <property name="acquireRetryAttempts"> <value>100</value> </property> <property name="acquireRetryDelay"> <value>10</value> </property> <property name="breakAfterAcquireFailure"> <value>false</value> </property> <!-- 测试连接的有效性 消耗很大 --> <property name="testConnectionOnCheckout"> <value>false</value> </property> <!-- 测试连接的有效性 消耗很大 自动检测连接状况 --> <property name="testConnectionOnCheckin"> <value>false</value> </property> <property name="preferredTestQuery"> <value>SELECT count(*) FROM linktest</value> </property> </bean> <!-- 用LazyConnectionDataSourceProxy管理数据源 --> <bean id="dataSource" class="org.springframework.jdbc.datasource.LazyConnectionDataSourceProxy"> <property name="targetDataSource"> <ref local="mainDataSource" /> </property> </bean> <!-- 配置jdbc模板 --> <bean id="jdbcTemplate" class="org.springframework.jdbc.core.JdbcTemplate"> <property name="dataSource" ref="dataSource"/> </bean> <bean id="BaseDaoImpl" class="com.qm.frame.core.dao.BaseDaoImpl"> <property name="dataSource" ref="dataSource" /> <property name="jdbcTemplate" ref="jdbcTemplate"></property> </bean> </beans>
jdbc.properties文件
db.driverClass=com.mysql.jdbc.Driver
db.url=jdbc:mysql://localhost:3306/inter_tv
db.userName=root
db.password=root
BaseDaoImpl.class
package com.qm.frame.core.dao; import java.sql.Connection; import java.sql.PreparedStatement; import java.sql.ResultSet; import java.sql.SQLException; import javax.sql.DataSource; import org.springframework.jdbc.core.JdbcTemplate; import org.springframework.jdbc.core.PreparedStatementSetter; public class BaseDaoImpl implements IBaseDao{ //spring的模板工具 private JdbcTemplate jdbcTemplate; //jdbc的数据源 private DataSource dataSource;public int update(){ System.out.println("hashCode " + jdbcTemplate.hashCode()); try { Connection connection = dataSource.getConnection(); PreparedStatement preparedStatement = connection.prepareStatement("select * from EIBS_BASE_TASKINFO"); ResultSet resultSet = preparedStatement.executeQuery(); while (resultSet.next()) { System.out.println("checkId " + resultSet.getLong(1)); } } catch (SQLException e) { e.printStackTrace(); } return 0; } public JdbcTemplate getJdbcTemplate() { return jdbcTemplate; } public void setJdbcTemplate(JdbcTemplate jdbcTemplate) { this.jdbcTemplate = jdbcTemplate; } public DataSource getDataSource() { return dataSource; } public void setDataSource(DataSource dataSource) { this.dataSource = dataSource; } }