Dozer 对象的"搬运工"

前言：项目中，经常会遇到各层对象之间相互进行值传递的过程，如在数据据持久层有一持久类EntityA，在视图层可能会变为ViewA,通常情况下，这两个类的属性 名称 、类型都是一致的，

　　  在两个对象传值的过程中，有几种办法：

　　　　1.最基本的set(),get()方法，当对象的属性有很多时，会产生大量的代码

　　　　2.apache的common-beanutils.jar 下 BeanUtils().copyProperties(obj1,obj2)

　　　　3.dozer

本文主要介绍dozer的用法

1.简介
    dozer是一种JavaBean的映射工具，类似于apache的BeanUtils。但是dozer更强大，它可以灵活的处理复杂类型之间的映射。不但可以进行简单的属性映射、复杂的类型映射、

    双向映射、递归映射等，并且可以 通过XML配置文件进行灵活的配置。

    使用Dozer映射复杂类型：1. 数据类型不一致。 2. 级联映射。 3. 自定义映射。

　  Dozer其实底层使用了现成的BeanUtil，通过反射来映射，况且Dozer应用了Cache技术，应该比通过BeanUtils映射性能要好点。所以一般的应用应该不存在性能问题。

2.配置

　　1.添加spring相关jar（如果单独使用可以不需要配置）

　　2.添加dozer与spring集成jar（如果单独使用dozer，可以不用dozer-spring，以下所有案例都是与将dozer与spring集成使用）

pom依赖：

 <dependency>
          <groupId>net.sf.dozer</groupId>
          <artifactId>dozer</artifactId>
          <version>5.5.1</version>
      </dependency>

      <dependency>
          <groupId>net.sf.dozer</groupId>
          <artifactId>dozer-spring</artifactId>
          <version>5.5.1</version>
      </dependency>

spring配置文件：

 <!-- 自动扫描的包名 -->
    <context:annotation-config/>
    <context:component-scan base-package="dozer.*"/>

    <bean id="mapper" class="org.dozer.spring.DozerBeanMapperFactoryBean">
        <property name="mappingFiles" value="classpath*:/*-mapper.xml"/>  //此处的mapper配置文件是用来处理复杂类型的转换使用
    </bean>

3.案列

　　1.基本属性映射：只会映射属性名相同的值，如果属性名不同，则不会处理

　      只要属性名相同，基本数据类型之间、String与基本数据类型之间都双向转换

　　  如：int a  <--> double a;   String b <-->float b;

　　　UserEntity:

public class UserEntity {
    private Long id;
    private String name;
    private int age;
    private String password;
    private Date date;
    private String map;
    ...get()  ...set()
    ...XXX
}

　　　UserVo:

public class UserVO {
    private Long id;
    private String userName;
    private double age;
    private String password;
    private String createDate;
    private float map;
　　...XXX get() ...set()
}

　　　测试类：

 @Test
    public void  testDozer(){
        UserEntity entity=new UserEntity(2L,"admin",13,"admin",new Date(),"23.7");
        UserVO userVO=new UserVO();
        mapper.map(entity,userVO);
        System.out.println(userVO);
    }

　　　结果：

　　 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" 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alt="" />

　　 结果对比，如果属性名不一直，则不会处理

　　2.对于1中出现属性不一致的情况，我们仍然想要进行值传递，该怎么办呢？这时就要用到<property name="mappingFiles" value="classpath*:/*-mapper.xml"/>配置文件

　　  添加user-mapper.xml文件：

<?xml version="1.0" encoding="UTF-8"?>
<mappings xmlns="http://dozer.sourceforge.net"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://dozer.sourceforge.net
          http://dozer.sourceforge.net/schema/beanmapping.xsd">
    <!--<configuration>-->
        <!--<date-format>yyyy-MM-dd HH:mm:ss</date-format>-->
    <!--</configuration>-->

    <mapping >
        <class-a>entity.UserEntity</class-a>
        <class-b>pojo.UserVO</class-b>
        <field>
            <a>name</a>
            <b>userName</b>
        </field>
        <field>
            <a>date</a>
            <b>createDate</b>
        </field>
    </mapping>
</mappings>

运行结果：

　　aaarticlea/png;base64,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" 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" alt="" width="514" height="166" />

　 每个属性的值都已传递过来，但是注意途中红框中的内容，Date 类型 转 String 类型的时候，String createDate的值并不是我们期望的格式，我们期望将其 装换成 "yyyy-MM-dd HH:mm:ss"格式，或者其他自定义的日期格式，那该怎么办呢？ 请看下一点

　　3.对于2中的问题，String  to Date 或 Date  to String 转换 这里有三种方式可以解决：

　　　　①在属性匹配 上修改配置 使用dozermapper中field的date-format属性

　　<mapping >
        <class-a>entity.UserEntity</class-a>
        <class-b>pojo.UserVO</class-b>
        <field>
            <a>name</a>
            <b>userName</b>
        </field>
        <field>
            <a date-format="yyyy-MM-dd HH:mm:ss">date</a>
            <b>createDate</b>
        </field>
    </mapping>

　　　　②在类匹配 上修改配置，使用mapping中的date-format属性

    <mapping date-format="yyyy-MM-dd HH:mm:ss">
        <class-a>entity.UserEntity</class-a>
        <class-b>pojo.UserVO</class-b>
        <field>
            <a>name</a>
            <b>userName</b>
        </field>
        <field>
            <a>date</a>
            <b>createDate</b>
        </field>
    </mapping>

　　　　③在全局属性上 ，修改配置，使用configuration标签下的date-format标签　

<?xml version="1.0" encoding="UTF-8"?>
<mappings xmlns="http://dozer.sourceforge.net"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://dozer.sourceforge.net
          http://dozer.sourceforge.net/schema/beanmapping.xsd">

    <configuration>
        <date-format>yyyy-MM-dd HH:mm:ss</date-format>
    </configuration>

    <mapping>
        <class-a>entity.UserEntity</class-a>
        <class-b>pojo.UserVO</class-b>
        <field>
            <a>name</a>
            <b>userName</b>
        </field>
        <field>
            <a>date</a>
            <b>createDate</b>
        </field>
    </mapping>
</mappings>

　　　　结果：

aaarticlea/png;base64,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" alt="" />   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" alt="" width="423" height="167" />

  　4.如果在两个对象间传值，不想要对某个属性赋值，可以使用 field-exclude标签

<mapping>
        <class-a>entity.UserEntity</class-a>
        <class-b>pojo.UserVO</class-b>
        <field>
            <a>name</a>
            <b>userName</b>
        </field>
        <field>
            <a>date</a>
            <b>createDate</b>
        </field>
        <field-exclude>
            <a>unpass</a>
            <b>unpass</b>
        </field-exclude>
    </mapping>

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" 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" alt="" />

　　5.级联映射  UserEntity中有个Colleage对象，而UserVO中有个属性schoolName指向UserEntity.Colleage.Name

 　　　　<field>
            <a>colleage.name</a>
            <b>schoolName</b>
        </field>

　至此，dozer最基本"搬运"方法已经介绍完毕，后续会继续学习 其他标签的用法 以及 集合类型的属性匹配。