• spring与MyBatis结合


    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

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  • 原文地址:https://www.cnblogs.com/zhao123/p/3874431.html
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