spring与MyBatis结合

时间:2021-08-30 21:02:48

下面将介绍使用spring+mybatis的开发样例:

首先,笔者创建的是一个maven工程,在开发先先导入相关的依赖jar:

pom.xml:

<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.11</version>
<scope>test</scope>
</dependency>
<!-- spring3 相关依赖 -->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-core</artifactId>
<version>3.0.5.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context</artifactId>
<version>3.0.5.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-beans</artifactId>
<version>3.0.5.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-jdbc</artifactId>
<version>3.0.5.RELEASE</version>
</dependency>
<!-- spring MVC -->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-web</artifactId>
<version>3.0.5.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-webmvc</artifactId>
<version>3.0.5.RELEASE</version>
</dependency>
<!-- mysql jdbc driver -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.13</version>
</dependency>
<!-- log 日志 -->
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.2</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>1.7.2</version>
</dependency>
<!-- mybatis-spring 插件 -->
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis-spring</artifactId>
<version>1.2.1</version>
</dependency>
<!-- mybatis依赖 -->
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis</artifactId>
<version>3.2.1</version>
</dependency> <dependency>
<groupId>javax.servlet</groupId>
<artifactId>javax.servlet-api</artifactId>
<version>3.1.0</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>jstl</groupId>
<artifactId>jstl</artifactId>
<version>1.2</version>
</dependency>
<!-- 数据库连接池 -->
<dependency>
<groupId>proxool</groupId>
<artifactId>proxool</artifactId>
<version>0.9.1</version>
</dependency>
<dependency>
<groupId>proxool</groupId>
<artifactId>proxool-cglib</artifactId>
<version>0.9.1</version>
</dependency>
<!-- servlet-jsp 依赖,为编译jsp时使用 -->
<dependency>
<groupId>javax.servlet.jsp</groupId>
<artifactId>jsp-api</artifactId>
<version>2.2</version>
<scope>provided</scope>
</dependency>
</dependencies>

web.xml中对spring和数据库连接池的配置:

    <context-param>
<param-name>log4jConfigLocation</param-name>
<param-value>/WEB-INF/log4j.xml</param-value>
</context-param>
<context-param>
<param-name>log4jRefreshInterval</param-name>
<param-value>60000</param-value>
</context-param> <listener>
<listener-class>org.springframework.web.util.Log4jConfigListener</listener-class>
</listener> <!-- needed for ContextLoaderListener -->
<context-param>
<param-name>contextConfigLocation</param-name>
<param-value>/WEB-INF/applicationContext.xml</param-value>
</context-param> <!-- Bootstraps the root web application context before servlet initialization -->
<listener>
<listener-class>org.springframework.web.context.ContextLoaderListener</listener-class>
</listener>
<!-- The front controller of this Spring Web application, responsible for
handling all application requests -->
<servlet>
<servlet-name>spring3</servlet-name>
<servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class>
<load-on-startup>2</load-on-startup>
</servlet> <!-- Map all requests to the DispatcherServlet for handling -->
<servlet-mapping>
<servlet-name>spring3</servlet-name>
<url-pattern>/</url-pattern>
</servlet-mapping> <!-- database proxool config -->
<servlet>
<servlet-name>ServletConfigurator</servlet-name>
<servlet-class>org.logicalcobwebs.proxool.configuration.ServletConfigurator</servlet-class>
<init-param>
<param-name>xmlFile</param-name>
<param-value>WEB-INF/proxool.xml</param-value>
</init-param>
<load-on-startup>1</load-on-startup>
</servlet>

在这里要注意,因为我使用了数据库连接池proxool,虽然已经设置servlet的启动级别是1,但是由于在servlet启动之前,spring(ContextLoaderListener)监听器已启动了,所以在spring监听启动时它会报一个找不到对应的数据源的SQLException。对于这个问题,本可以通过更改spring为servlet启动,并将启动级别设置为proxool配置加载之后解决:

 <servlet>
<servlet-name>contextConfigLocation</servlet-name>
<servlet-class>
org.springframework.web.context.ContextLoaderServlet
</servlet-class>
<load-on-startup>2</load-on-startup>
</servlet>

但是因为spring3以后就不支持使用servlet启动了官方推荐使用listener启动applicationContext。所以这个方法在新版本不适合了,不过这个异常可以忽略,因为proxool在整个项目加载完成的时候的确以及完成了加载,所以在项目运行起来以后是不会报错的,开始报错是spring做的一个检查。

为了解决乱码问题最好在web.xml中加上这个配置:

    <!-- character filter. use UTF8 -->
<filter>
<filter-name>characterEncodingFilter</filter-name>
<filter-class>org.springframework.web.filter.CharacterEncodingFilter</filter-class>
<init-param>
<param-name>encoding</param-name>
<param-value>UTF-8</param-value>
</init-param>
</filter>
<filter-mapping>
<filter-name>characterEncodingFilter</filter-name>
<url-pattern>/*</url-pattern>
</filter-mapping>

下面是对spring3-servlet.xml的配置,它里面申明的bean都存放在webApplicationContext中:

<?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:mvc="http://www.springframework.org/schema/mvc"
default-lazy-init="false" xmlns:context="http://www.springframework.org/schema/context"
xsi:schemaLocation="http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-3.0.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd"> <context:component-scan base-package="com.pinche.statistic.web"></context:component-scan>
<!-- 启用spring mvc注解 -->
<mvc:annotation-driven />
<!-- 静态资源访问问题 -->
<mvc:default-servlet-handler />
<!-- Default ViewResolver -->
<bean class="org.springframework.web.servlet.view.InternalResourceViewResolver">
<property name="viewClass" value="org.springframework.web.servlet.view.JstlView" />
<property name="prefix" value="/WEB-INF/page/"></property>
<property name="suffix" value=".jsp"></property>
</bean>
<!-- 对抛给spring的异常的处理 -->
<bean id="exceptionResolver"
class="org.springframework.web.servlet.handler.SimpleMappingExceptionResolver">
<property name="exceptionMappings">
<props>
<prop key="java.lang.Exception">error</prop>
</props>
</property>
</bean>
</beans>

下面对applicationContext.xml进行配置(这里使用了两个数据源):

<?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:tx="http://www.springframework.org/schema/tx"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.0.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd"> <!--
数据源配置:这里配置了两个数据源dataSource_statistic和dataSource_pinche,
分别注入到_sqlSessionFactory_statistic和_sqlSessionFactory_pinche
-->
<bean id="dataSource_statistic"
class="org.springframework.jdbc.datasource.DriverManagerDataSource">
<!-- 数据库连接 -->
<property name="url" value="proxool.statistic" />
<!--
这是不使用数据库连接池的配置方式,由于proxool只有在启动web应用的时候才能加载,
所以如果在初期开发阶段可以用这种简单的数据库连接方式,在通过
new FileSystemXmlApplicationContext("src/main/webapp/WEB-INF/applicationContext.xml")
获取到context,并进行测试。
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://192.168.1.168:3306/statistic"/>
<property name="username" value="statistic"></property>
<property name="password" value="statistic"></property>
-->
</bean>
<bean id="dataSource_pinche"
class="org.springframework.jdbc.datasource.DriverManagerDataSource">
<!-- 数据库连接 -->
<property name="url" value="proxool.pinche" />
</bean> <!-- 为mybatis-spring注入数据源 -->
<bean name="_sqlSessionFactory_statistic" class="org.mybatis.spring.SqlSessionFactoryBean">
<!-- 注入数据源 -->
<property name="dataSource" ref="dataSource_statistic"></property>
<!-- 注入别名的包名前缀,这样就可以在mybatis的文件中直接写类名不用写全名了 -->
<property name="typeAliasesPackage" value="com.pinche.statistic.domain" />
</bean>
<bean name="_sqlSessionFactory_pinche" class="org.mybatis.spring.SqlSessionFactoryBean">
<!-- 注入数据源 -->
<property name="dataSource" ref="dataSource_pinche"></property>
<!-- 注入别名的包名前缀,这样就可以在mybatis的文件中直接写类名不用写全名了 -->
<property name="typeAliasesPackage" value="com.pinche.statistic.domain" />
<!-- 该配置文件用来指定Mapper映射文件的位置 ,如果映射文件与相应的接口同名,且在同一路径下,那么可以不配置该选项-->
<!--<property name="mapperLocations" value="src/UserMapper.xml"/>-->
<!--
该属性用来指定MyBatis的XML配置文件路径,跟Spring整合时,
编写MyBatis映射文件的目的无非是配置一下typeAlias、setting之类的
元素。不用在其中指定数据源,或者事务处理方式。就算配置了也会被忽略。
因为这些都是使用Spring中的配置。当然如果你不打算添加typeAlias 之
类的设置的话,你连MyBatis的配置文件都不用写,更不用配置这个属性了
-->
<!-- <property name="configLocation" value=""/> -->
</bean>
<!--
注册Mapper方式一
<bean id="userMapper" class="org.mybatis.spring.mapper.MapperFactoryBean">
<property name="mapperInterface" value="com.pinche.statistic.mapper.ApplicationsMapper"/>
<property name="sqlSessionFactory" ref="_sqlSessionFactory_statistic"/>
</bean>
-->
<!-- 注册Mapper方式二:也可不指定特定mapper,而使用自动扫描包的方式来注册各种Mapper ,配置如下:-->
<!--
<bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
<property name="basePackage" value="com.pinche.statistic.mapper"></property>
</bean>
-->
<bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
<property name="basePackage" value="com.pinche.statistic.dialstatistic.mapper"></property>
<property name="sqlSessionFactoryBeanName" value="_sqlSessionFactory_pinche"></property>
</bean>
<bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
<property name="basePackage" value="com.pinche.statistic.mapper"></property>
<property name="sqlSessionFactoryBeanName" value="_sqlSessionFactory_statistic"></property>
</bean> <!-- 事务 -->
<!-- 虽然mybatis也有自己的事务配置,但是配置了也没用,事务最终会交由spring控制,
由于项目没有用到可以注掉。
-->
<!-- <bean id="transactionManager"
class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
<property name="dataSource" ref="dataSource_statistic" />
</bean>
<tx:annotation-driven transaction-manager="transactionManager"/> --> <!-- 启用注解 -->
<context:annotation-config /> <!-- 自动扫描注入 -->
<context:component-scan
base-package="com.pinche.statistic.dao,
com.pinche.statistic.service" />
</beans>

Application.java是下面会用到的一个实体bean:

public class Application {

    public static final int APP_DISABLE = 0;
public static final int APP_ENABLE = 1;
private Integer id;
private String appAccount;//每个app对应一个账户标识;对应生成的数据表
private String appName;
private String appICON;
private String appDesc;
private String appURL;
private Date createTime;
private int isDisable;//'是否前台显示:0显示,1不显示'
}

首先我们要编写一个与mapper.xml文件映射的接口文件,mybatis会将这个接口文件和对应的mapper文件中的sql语句关联,自动实现这个接口文件。在之后的开发中我们直接调用这个接口文件就可以了,因为内存中已经有接口相对应的实例了。

ApplicationsMapper.xml文件:

<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd"> <mapper namespace="com.pinche.statistic.mapper.ApplicationsMapper"> <insert id="add" parameterType="Application" useGeneratedKeys="true"
keyProperty="id">
INSERT INTO applications
(appName,appAccount,appICON,appDesc,appURL,createTime)
VALUES
(#{appName},#{appAccount},#{appICON},#{appDesc},#{appURL},#{createTime})
</insert> <delete id="delete" parameterType="String">
DELETE FROM applications WHERE
appAccount = #{appAccount}
</delete> <update id="update" parameterType="Application">
UPDATE applications
<set>
<if test=" appName != '' and appName != null ">
appName = #{appName},
</if>
<if test=" appICON != '' and appICON != null ">
appICON = #{appICON},
</if>
<if test=" appDesc != '' and appDesc != null ">
appDesc = #{appDesc},
</if>
<if test=" appURL != '' and appURL != null ">
appURL = #{appURL},
</if>
<if test=" isDisable != -1 ">
isDisable = #{isDisable}
</if>
</set>
WHERE appAccount = #{appAccount}
</update> <select id="findByAppAccount" resultType="Application"
parameterType="String">
select * from applications where appAccount =
#{appAccount}
</select> <select id="findAll" resultType="Application">
select * from applications
</select>
</mapper>

对ApplicationsMapper.xml文件的配置必须要注意的是它的命名空间是必须的,而且是对应接口文件的全名!并且每个sql语句的id属性和接口文件中的方法名一致!!

下面是ApplicationsMapper.java文件,也就是对应的接口文件:

package com.pinche.statistic.mapper;

import java.util.List;

import com.pinche.statistic.domain.Application;

public interface ApplicationsMapper {

    void add(Application app);

    void delete(String appAccount);

    void update(Application app);

    Application findByAppAccount(String appAccount);

    List<Application> findAll();
}

通过以上的的配置,大家可以在test中测试一下自己的代码了

    @Test
public void testCreateTable() {
ApplicationContext aContext = new FileSystemXmlApplicationContext("src/main/webapp/WEB-INF/applicationContext.xml");
ApplicationsMapper mapper = (ApplicationsMapper) aContext.getBean(ApplicationsMapper.class); Application app = new Application();
app.setAppAccount("androidApp"); mapper.add(app);
}

以上测试了add方法,其他的测试方法大家可以照着写一写。如果插入成功恭喜,你的环境已经搭好了。

接下来是将继续这个样例系统的Dao层,service层和controller层。

    这个dao层吧,项目中就是这么用的,不过现在通过大家的指正,mybatis提供了@param来解决多参数问题,ok,这么看来这个Dao层的确不需要了。

package com.pinche.statistic.dao;

import java.util.List;

import com.pinche.statistic.domain.Application;

public interface AppDao {
boolean add(Application app); boolean delete(String appAccount); boolean update(Application app); Application findByAppAccount(String appAccount); List<Application> findAll();
}
package com.pinche.statistic.dao.impl;

import java.util.List;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.dao.DataAccessException;
import org.springframework.stereotype.Repository; import com.pinche.statistic.dao.AppDao;
import com.pinche.statistic.domain.Application;
import com.pinche.statistic.mapper.ApplicationsMapper; @Repository
public class AppDaoImpl implements AppDao { @Autowired
private ApplicationsMapper mapper; @Override
public boolean add(Application app) {
try {
mapper.add(app);
return true;
} catch (DataAccessException e) {
e.printStackTrace();
}
return false;
} @Override
public boolean delete(String appAccount) {
try {
mapper.delete(appAccount);
return true;
} catch (DataAccessException e) {
e.printStackTrace();
}
return false;
} @Override
public boolean update(Application app) {
try {
mapper.update(app);
return true;
} catch (DataAccessException e) {
e.printStackTrace();
}
return false;
} @Override
public Application findByAppAccount(String appAccount) {
try {
Application findByAppAccount = mapper.findByAppAccount(appAccount);
return findByAppAccount;
} catch (DataAccessException e) {
e.printStackTrace();
}
return null;
} @Override
public List<Application> findAll() {
try {
return mapper.findAll();
} catch (DataAccessException e) {
e.printStackTrace();
}
return null;
}
}

自行设计的DAO层对象容器(在DAO对象很多时,如果在service层要调用对应的DAO还得手动注入,通过引用这个DAO层对象容器,可以实现在需要使用DAO时迅速找需要的DAO,省去了繁杂的手动注入,而且spring默认的bean都是单例的,无论在何处注入一个实体bean其实都是同一个。这样做更方便):

package com.pinche.statistic.dao;

import java.lang.reflect.Field;

import javax.annotation.PostConstruct;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Repository; @Repository
public class BaseDAL { private static final Logger logger = LoggerFactory.getLogger(BaseDAL.class); @Autowired
private AppDao _appDao;
public static AppDao appDao; @Autowired
private MetaDataDao _metaDataDao;
public static MetaDataDao metaDataDao; @Autowired
private DDLManager _DDLManager;
public static DDLManager DDLManager; @Autowired
private AnalyzeDao _analyzeDao;
public static AnalyzeDao analyzeDao; @Autowired
private DialstatisticsDao _dialstatisticsDao;
public static DialstatisticsDao dialstatisticsDao; @PostConstruct
public void init() {
long start = System.currentTimeMillis();
logger.debug("start init BaseDAL ...");
try { Field[] fields = this.getClass().getDeclaredFields(); for (int i = 0; i < fields.length; i++) {
String fieldname = fields[i].getName();
if (fieldname.startsWith("_")) {
String sfieldname = fieldname.substring(1);
Field sfield = this.getClass().getDeclaredField(sfieldname);
sfield.setAccessible(true);
sfield.set(this, fields[i].get(this));
}
}
logger.debug("init BaseDAL OVER, consume = {}ms",
System.currentTimeMillis() - start);
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (NoSuchFieldException e) {
e.printStackTrace();
} catch (SecurityException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
}
}
}

如果使用了以上的层管理容器,如果要在容器中添加一个DAO(例如:DemoDao),只需在这个容器中添加一个这样的声明:

    @Autowired
private DemoDao _demoDao;
public static DemoDao demoDao;
package com.pinche.statistic.service;

import java.util.List;

import com.pinche.statistic.domain.Application;

/**
* @author JACKWANG
* @since Dec 23, 2013
*/
public interface AppService { Application find(String appAccount); boolean update(Application app); boolean setDisable(String appAccount); boolean setEnable(String appAccount); List<Application> findAll(); }
package com.pinche.statistic.service.impl;

import java.util.List;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Service; import com.pinche.statistic.dao.BaseDAL;
import com.pinche.statistic.domain.Application;
import com.pinche.statistic.service.AppService;
import com.pinche.statistic.utils.SystemUtils; /**
* @author JACKWANG
* @since Dec 23, 2013
*/
@Service
public class AppServiceImpl implements AppService { private static final Logger logger = LoggerFactory
.getLogger(AppServiceImpl.class); @Override
public Application find(String appAccount) {
return BaseDAL.appDao.findByAppAccount(appAccount);
} @Override
public boolean update(Application app) {
String appAccount = app.getAppAccount();
if (appAccount == null && "".equals(appAccount)) {
return true;
}
return BaseDAL.appDao.update(app);
} @Override
public boolean setDisable(String appAccount) {
Application app = new Application();
app.setAppAccount(appAccount);
app.setIsDisable(Application.APP_DISABLE);
return BaseDAL.appDao.update(app);
} @Override
public boolean setEnable(String appAccount) {
Application app = new Application();
app.setAppAccount(appAccount);
app.setIsDisable(Application.APP_ENABLE);
return BaseDAL.appDao.update(app);
} @Override
public List<Application> findAll() {
return BaseDAL.appDao.findAll();
}
}

哈哈,使用层对象管理容器是不是很方便。通过一个引用就能获得所有的DAO支持。所以我在service层也构建了一个service层对象管理容器BaseBLL:

package com.pinche.statistic.service;

import java.lang.reflect.Field;

import javax.annotation.PostConstruct;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service; /**
* @author JACKWANG
* @since Dec 23, 2013
*/
@Service
public class BaseBLL { private static final Logger logger = LoggerFactory.getLogger(BaseBLL.class); @Autowired
private AnalyzeService _analyzeService;
public static AnalyzeService analyzeService; @Autowired
private AppService _appService;
public static AppService appService; @Autowired
private MetaDataService _metaDataService;
public static MetaDataService metaDataService; @PostConstruct
public void init() {
long start = System.currentTimeMillis();
logger.debug("start init BaseBLL ...");
try { Field[] fields = this.getClass().getDeclaredFields(); for (int i = 0; i < fields.length; i++) {
String fieldname = fields[i].getName();
if (fieldname.startsWith("_")) {
String sfieldname = fieldname.substring(1);
Field sfield = this.getClass().getDeclaredField(sfieldname);
sfield.setAccessible(true);
sfield.set(this, fields[i].get(this));
}
}
logger.debug("init BaseBLL OVER, consume = {}ms",
System.currentTimeMillis() - start);
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (NoSuchFieldException e) {
e.printStackTrace();
} catch (SecurityException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
}
} }

好了下面应该是controller层的编写了,但是由于笔者以上的代码只是摘录了系统中的部分,而在controller中涉及到其他的内容,如果直接摘录可能和以上的代码衔接不上。所以这里就不进行了controller层的具体介绍了。本系统controller层使用的是SpringMVC,开发效率一级赞。

package com.pinche.statistic.dao;

import java.util.List;

import com.pinche.statistic.domain.Application;

public interface AppDao {
boolean add(Application app); boolean delete(String appAccount); boolean update(Application app); Application findByAppAccount(String appAccount); List<Application> findAll();
}
package com.pinche.statistic.dao.impl;

import java.util.List;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.dao.DataAccessException;
import org.springframework.stereotype.Repository; import com.pinche.statistic.dao.AppDao;
import com.pinche.statistic.domain.Application;
import com.pinche.statistic.mapper.ApplicationsMapper; @Repository
public class AppDaoImpl implements AppDao { @Autowired
private ApplicationsMapper mapper; @Override
public boolean add(Application app) {
try {
mapper.add(app);
return true;
} catch (DataAccessException e) {
e.printStackTrace();
}
return false;
} @Override
public boolean delete(String appAccount) {
try {
mapper.delete(appAccount);
return true;
} catch (DataAccessException e) {
e.printStackTrace();
}
return false;
} @Override
public boolean update(Application app) {
try {
mapper.update(app);
return true;
} catch (DataAccessException e) {
e.printStackTrace();
}
return false;
} @Override
public Application findByAppAccount(String appAccount) {
try {
Application findByAppAccount = mapper.findByAppAccount(appAccount);
return findByAppAccount;
} catch (DataAccessException e) {
e.printStackTrace();
}
return null;
} @Override
public List<Application> findAll() {
try {
return mapper.findAll();
} catch (DataAccessException e) {
e.printStackTrace();
}
return null;
}
}

自行设计的DAO层对象容器(在DAO对象很多时,如果在service层要调用对应的DAO还得手动注入,通过引用这个DAO层对象容器,可以实现在需要使用DAO时迅速找需要的DAO,省去了繁杂的手动注入,而且spring默认的bean都是单例的,无论在何处注入一个实体bean其实都是同一个。这样做更方便):

package com.pinche.statistic.dao;

import java.lang.reflect.Field;

import javax.annotation.PostConstruct;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Repository; @Repository
public class BaseDAL { private static final Logger logger = LoggerFactory.getLogger(BaseDAL.class); @Autowired
private AppDao _appDao;
public static AppDao appDao; @Autowired
private MetaDataDao _metaDataDao;
public static MetaDataDao metaDataDao; @Autowired
private DDLManager _DDLManager;
public static DDLManager DDLManager; @Autowired
private AnalyzeDao _analyzeDao;
public static AnalyzeDao analyzeDao; @Autowired
private DialstatisticsDao _dialstatisticsDao;
public static DialstatisticsDao dialstatisticsDao; @PostConstruct
public void init() {
long start = System.currentTimeMillis();
logger.debug("start init BaseDAL ...");
try { Field[] fields = this.getClass().getDeclaredFields(); for (int i = 0; i < fields.length; i++) {
String fieldname = fields[i].getName();
if (fieldname.startsWith("_")) {
String sfieldname = fieldname.substring(1);
Field sfield = this.getClass().getDeclaredField(sfieldname);
sfield.setAccessible(true);
sfield.set(this, fields[i].get(this));
}
}
logger.debug("init BaseDAL OVER, consume = {}ms",
System.currentTimeMillis() - start);
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (NoSuchFieldException e) {
e.printStackTrace();
} catch (SecurityException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
}
}
}

如果使用了以上的层管理容器,如果要在容器中添加一个DAO(例如:DemoDao),只需在这个容器中添加一个这样的声明:

    @Autowired
private DemoDao _demoDao;
public static DemoDao demoDao;
package com.pinche.statistic.service;

import java.util.List;

import com.pinche.statistic.domain.Application;

/**
* @author JACKWANG
* @since Dec 23, 2013
*/
public interface AppService { Application find(String appAccount); boolean update(Application app); boolean setDisable(String appAccount); boolean setEnable(String appAccount); List<Application> findAll(); }
package com.pinche.statistic.service.impl;

import java.util.List;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Service; import com.pinche.statistic.dao.BaseDAL;
import com.pinche.statistic.domain.Application;
import com.pinche.statistic.service.AppService;
import com.pinche.statistic.utils.SystemUtils; /**
* @author JACKWANG
* @since Dec 23, 2013
*/
@Service
public class AppServiceImpl implements AppService { private static final Logger logger = LoggerFactory
.getLogger(AppServiceImpl.class); @Override
public Application find(String appAccount) {
return BaseDAL.appDao.findByAppAccount(appAccount);
} @Override
public boolean update(Application app) {
String appAccount = app.getAppAccount();
if (appAccount == null && "".equals(appAccount)) {
return true;
}
return BaseDAL.appDao.update(app);
} @Override
public boolean setDisable(String appAccount) {
Application app = new Application();
app.setAppAccount(appAccount);
app.setIsDisable(Application.APP_DISABLE);
return BaseDAL.appDao.update(app);
} @Override
public boolean setEnable(String appAccount) {
Application app = new Application();
app.setAppAccount(appAccount);
app.setIsDisable(Application.APP_ENABLE);
return BaseDAL.appDao.update(app);
} @Override
public List<Application> findAll() {
return BaseDAL.appDao.findAll();
}
}

哈哈,使用层对象管理容器是不是很方便。通过一个引用就能获得所有的DAO支持。所以我在service层也构建了一个service层对象管理容器BaseBLL:

package com.pinche.statistic.service;

import java.lang.reflect.Field;

import javax.annotation.PostConstruct;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service; /**
* @author JACKWANG
* @since Dec 23, 2013
*/
@Service
public class BaseBLL { private static final Logger logger = LoggerFactory.getLogger(BaseBLL.class); @Autowired
private AnalyzeService _analyzeService;
public static AnalyzeService analyzeService; @Autowired
private AppService _appService;
public static AppService appService; @Autowired
private MetaDataService _metaDataService;
public static MetaDataService metaDataService; @PostConstruct
public void init() {
long start = System.currentTimeMillis();
logger.debug("start init BaseBLL ...");
try { Field[] fields = this.getClass().getDeclaredFields(); for (int i = 0; i < fields.length; i++) {
String fieldname = fields[i].getName();
if (fieldname.startsWith("_")) {
String sfieldname = fieldname.substring(1);
Field sfield = this.getClass().getDeclaredField(sfieldname);
sfield.setAccessible(true);
sfield.set(this, fields[i].get(this));
}
}
logger.debug("init BaseBLL OVER, consume = {}ms",
System.currentTimeMillis() - start);
} catch (IllegalArgumentException e) {
e.printStackTrace();
} catch (NoSuchFieldException e) {
e.printStackTrace();
} catch (SecurityException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
}
} }

好了下面应该是controller层的编写了,但是由于笔者以上的代码只是摘录了系统中的部分,而在controller中涉及到其他的内容,如果直接摘录可能和以上的代码衔接不上。所以这里就不进行了controller层的具体介绍了。本系统controller层使用的是SpringMVC,开发效率一级赞。

转载地址:http://wangjie2013.iteye.com/blog/1996159