MyBatis_ibatis和mybatis的区别【转】

时间：2023-03-09 18:54:02
MyBatis_ibatis和mybatis的区别【转】

1. ibatis3.*版本以后正式改名为mybaits，它也从apache转到了google code下；也就是说ibatis2.*，mybatis3.*。

2. 映射文件的不同

ibatis的配置文件如下

<?xml version="1.0" encoding="UTF-8" ?>

<!DOCTYPE sqlMapConfig

    PUBLIC "-//ibatis.apache.org//DTD SQL Map Config 2.0//EN"

    "http://ibatis.apache.org/dtd/sql-map-config-2.dtd">

<sqlMapConfig>

	<!-- 公共配置 -->

	<settings useStatementNamespaces="true" maxRequests="3000"

		maxSessions="1000" maxTransactions="3000" />

	<!-- 配置文件		begin -->

	<sqlMap resource="com/test/biz/dao/sql/AA_SqlMap.xml" />
<pre name="code" class="html">	<sqlMap resource="com/test/biz/dao/sql/BB_SqlMap.xml" />

</sqlMapConfig> 



mybatis的配置文件如下



<?xml version="1.0" encoding="UTF-8"?>

<!DOCTYPE configuration

    PUBLIC "-//mybatis.org//DTD Config 3.0//EN"

    "http://mybatis.org/dtd/mybatis-3-config.dtd">

<configuration>

	<settings>

		<!-- changes from the defaults for testing -->

		<setting name="cacheEnabled" value="false" />

		<setting name="useGeneratedKeys" value="true" />

		<setting name="defaultExecutorType" value="REUSE" />

		<!-- 延迟加载 -->

		<setting name="lazyLoadingEnabled" value="true" />

		<setting name="aggressiveLazyLoading" value="false" />

	</settings>

	<mappers>

		<mapper resource="com/test/biz/dao/sql/AAMapper.xml"/>

	</mappers>

</configuration>



从以上两个配置文件，大致分析有哪些不同点：



2.1 dtd约束文件不同


2.2 ibatis中根元素是sqlMapConfig，mybatis中是configuration；


2.3 settings属性的不同配置


ibatis中是


<settings 属性1="属性值1" 属性2="属性值2"  属性x="属性值x"/>


mybatis中是


<settings>


<setting name="属性1" value="属性值1"/>


<setting name="属性2" value="属性值2"/>





<setting name="属性x" value="属性值x"/>





</settings>
2.4 ibatis中是使用sqlMap元素，mybatis中是使用mappers元素；



2.5 数据库表的映射区别


ibatis中某表的映射文件


<?xml version="1.0" encoding="UTF-8" ?>

<!DOCTYPE sqlMap PUBLIC "-//ibatis.apache.org//DTD SQL Map 2.0//EN" "http://ibatis.apache.org/dtd/sql-map-2.dtd" >

<sqlMap namespace="PP_CLASS_PROPERTY">

	<resultMap id="BaseResultMap" class="com.test.biz.dto.PpClassProperty">

		<result column="ID" property="id" jdbcType="VARCHAR" />

		<result column="CLASS_ID" property="classId" jdbcType="VARCHAR" />

		<result column="PROPERTY_ID" property="propertyId" jdbcType="VARCHAR" />

		<result column="INPUT_TYPE" property="inputType" jdbcType="VARCHAR" />

		<result column="SORT_NUM" property="sortNum" jdbcType="DECIMAL" />

		<result column="DESCRIPTION" property="description" jdbcType="VARCHAR" />

		<result column="CREATED_DATE" property="createdDate" jdbcType="TIMESTAMP" />

		<result column="CREATED_BY" property="createdBy" jdbcType="VARCHAR" />

		<result column="UPDATED_DATE" property="updatedDate" jdbcType="TIMESTAMP" />

		<result column="UPDATED_BY" property="updatedBy" jdbcType="VARCHAR" />

		<result column="STATUS" property="status" jdbcType="DECIMAL" />

		<result column="IS_KEY" property="isKey" jdbcType="DECIMAL" />

		<result column="IS_SPU" property="isSpu" jdbcType="DECIMAL" />

		<result column="IS_SALE" property="isSale" jdbcType="DECIMAL" />

		<result column="IS_PRODUCT" property="isProduct" jdbcType="DECIMAL" />

		<result column="CHANNEL_ID" property="channelId" jdbcType="VARCHAR" />

		<result column="COMPANY_ID" property="companyId" jdbcType="VARCHAR" />

	</resultMap>

	<resultMap id="ResultMapWithClassName" class="com.test.biz.dto.PpClassProperty"

		extends="PP_CLASS_PROPERTY.BaseResultMap">

		<result property="propertyName" jdbcType="VARCHAR" />

		<result property="className" jdbcType="VARCHAR" />

	</resultMap>

	<resultMap id="ResultMapWithClassNameForPage" class="com.test.biz.dto.PpClassProperty"

		extends="PP_CLASS_PROPERTY.BaseResultMap">

		<result property="propertyName" jdbcType="VARCHAR" />

		<result property="className" jdbcType="VARCHAR" />

		<result column="rnum" property="rnum" jdbcType="VARCHAR" />

	</resultMap>

	<sql id="Base_Column_List">

		ID, CLASS_ID, PROPERTY_ID, INPUT_TYPE, SORT_NUM,

		DESCRIPTION,

		CREATED_DATE, CREATED_BY,

		UPDATED_DATE, UPDATED_BY, STATUS,

		IS_KEY, IS_SPU, IS_SALE, IS_PRODUCT,CHANNEL_ID,COMPANY_ID

	</sql>

	<sql id="p_Base_Column_List">

		P.ID, P.CLASS_ID, P.PROPERTY_ID, P.INPUT_TYPE, P.SORT_NUM,

		P.DESCRIPTION,

		P.CREATED_DATE,

		P.CREATED_BY, P.UPDATED_DATE,

		P.UPDATED_BY, P.STATUS, P.IS_KEY, P.IS_SPU,

		P.IS_SALE,

		P.IS_PRODUCT,P.CHANNEL_ID,P.COMPANY_ID

	</sql>

	<!-- 0：未删除 1：已删除 -->

	<select id="selectByPrimaryKey" resultMap="BaseResultMap"

		parameterClass="com.test.biz.dto.PpClassProperty">

		SELECT

		<include refid="PP_CLASS_PROPERTY.Base_Column_List" />

		FROM PP_CLASS_PROPERTY

		WHERE ID = #id:VARCHAR# AND

		<include refid="COMMON_JUDGEMENT_RULE.Judge_Status_ChannelId_CompanyId" />

	</select>

	<!-- 删除执行的是修改状态为1，表示已删除 -->

	<update id="deleteByPrimaryKey" parameterClass="com.test.biz.dto.PpClassProperty">

		UPDATE

		PP_CLASS_PROPERTY

		SET STATUS = 1

		where ID = #id:VARCHAR# AND

		<include refid="COMMON_JUDGEMENT_RULE.Judge_Status_ChannelId_CompanyId" />

	</update>

	<!-- 全字段 添加 -->

	<insert id="insert" parameterClass="com.test.biz.dto.PpClassProperty">

		INSERT INTO PP_CLASS_PROPERTY

		(

		<include refid="PP_CLASS_PROPERTY.Base_Column_List" />

		)

		VALUES (#id:VARCHAR#, #classId:VARCHAR#,

		#propertyId:VARCHAR#,

		#inputType:VARCHAR#,

		#sortNum:DECIMAL#,

		#description:VARCHAR#,

		#createdDate:TIMESTAMP#,

		#createdBy:VARCHAR#,

		#updatedDate:TIMESTAMP#,

		#updatedBy:VARCHAR#, 0,#isKey:DECIMAL#,

		#isSpu:DECIMAL#,

		#isSale:DECIMAL#, #isProduct:DECIMAL#,

		#channelId:VARCHAR#,

		#companyId:VARCHAR#)

	</insert>

	<!-- 动态修改 -->

	<update id="updateByPrimaryKeySelective" parameterClass="com.test.biz.dto.PpClassProperty">

		UPDATE PP_CLASS_PROPERTY

		<dynamic prepend="set">

			<isNotNull prepend="," property="classId">

				CLASS_ID =

				#classId:VARCHAR#

			</isNotNull>

			<isNotNull prepend="," property="propertyId">

				PROPERTY_ID =

				#propertyId:VARCHAR#

			</isNotNull>

			<isNotNull prepend="," property="inputType">

				INPUT_TYPE =

				#inputType:VARCHAR#

			</isNotNull>

			<isNotNull prepend="," property="sortNum">

				SORT_NUM =

				#sortNum:DECIMAL#

			</isNotNull>

			<isNotNull prepend="," property="description">

				DESCRIPTION =

				#description:VARCHAR#

			</isNotNull>

			<isNotNull prepend="," property="createdDate">

				CREATED_DATE =

				#createdDate:TIMESTAMP#

			</isNotNull>

			<isNotNull prepend="," property="createdBy">

				CREATED_BY =

				#createdBy:VARCHAR#

			</isNotNull>

			<isNotNull prepend="," property="updatedDate">

				UPDATED_DATE =

				#updatedDate:TIMESTAMP#

			</isNotNull>

			<isNotNull prepend="," property="updatedBy">

				UPDATED_BY =

				#updatedBy:VARCHAR#

			</isNotNull>

			<isNotNull prepend="," property="status">

				STATUS = #status:DECIMAL#

			</isNotNull>

			<isNotNull prepend="," property="isKey">

				IS_KEY = #isKey:DECIMAL#

			</isNotNull>

			<isNotNull prepend="," property="isSpu">

				IS_SPU = #isSpu:DECIMAL#

			</isNotNull>

			<isNotNull prepend="," property="isSale">

				IS_SALE = #isSale:DECIMAL#

			</isNotNull>

			<isNotNull prepend="," property="isProduct">

				IS_PRODUCT =

				#isProduct:DECIMAL#

			</isNotNull>

		</dynamic>

		WHERE ID = #id:VARCHAR# AND

		<include refid="COMMON_JUDGEMENT_RULE.Judge_Status_ChannelId_CompanyId" />

	</update>

	<!--查询类目已经关联的属性 0：未删除 1：已删除 -->

	<select id="selectByClassId" resultMap="BaseResultMap"

		parameterClass="com.test.biz.dto.PpClassProperty">

		SELECT

		<include refid="PP_CLASS_PROPERTY.Base_Column_List" />

		FROM PP_CLASS_PROPERTY

		WHERE CLASS_ID = #classId:VARCHAR# AND

		<include refid="COMMON_JUDGEMENT_RULE.Judge_Status_ChannelId_CompanyId" />

	</select>

	<!-- 统计 查询类目已经关联的属性的数量 0：未删除 1：已删除 -->

	<select id="countByClassId" resultClass="integer"

		parameterClass="com.test.biz.dto.PpClassProperty">

		SELECT

		COUNT(ID)

		FROM PP_CLASS_PROPERTY

		WHERE CLASS_ID =

		#classId:VARCHAR# AND

		<include refid="COMMON_JUDGEMENT_RULE.Judge_Status_ChannelId_CompanyId" />

	</select>

	<!--根据类目id查询类目属性(包含类目名称和属性名称) 0：未删除 1：已删除 -->

	<select id="selectWithClassNameByClassId" resultMap="ResultMapWithClassName"

		parameterClass="map">

		SELECT

		<include refid="p_Base_Column_List" />

		,PP.PROPERTY_NAME PROPERTYNAME,PC.CLASS_NAME CLASSNAME

		FROM

		PP_CLASS_PROPERTY P,PP_PROPERTY PP,PP_CLASS PC

		WHERE P.CLASS_ID =

		#classId# AND P.CHANNEL_ID = #channelId# AND P.COMPANY_ID =

		#companyId#

		<isNotNull property="likeName">

			AND PP.PROPERTY_NAME LIKE '%'||#likeName#||'%'

		</isNotNull>

		AND P.CLASS_ID = PC.ID AND P.PROPERTY_ID = PP.ID

		AND P.CHANNEL_ID =

		PC.CHANNEL_ID AND P.CHANNEL_ID = PP.CHANNEL_ID

		AND P.COMPANY_ID =

		PC.COMPANY_ID AND P.COMPANY_ID = PP.COMPANY_ID

		AND P.STATUS=0 AND

		PP.STATUS=0 AND PC.STATUS=0

	</select>

	<!--根据类目id查询类目属性(包含类目名称和属性名称) 查询总数 -->

	<select id="countPageFindPpClassPropertyByClassId" resultClass="integer"

		parameterClass="map">

		SELECT

		COUNT(1)

		FROM

		PP_CLASS_PROPERTY P,PP_PROPERTY PP,PP_CLASS PC

		WHERE P.CLASS_ID =

		#classId# AND P.CHANNEL_ID = #channelId# AND P.COMPANY_ID =

		#companyId#

		<isNotNull property="likeName">

			AND PP.PROPERTY_NAME LIKE '%'||#likeName#||'%'

		</isNotNull>

		AND P.CLASS_ID = PC.ID AND P.PROPERTY_ID = PP.ID

		AND P.CHANNEL_ID =

		PC.CHANNEL_ID AND P.CHANNEL_ID = PP.CHANNEL_ID

		AND P.COMPANY_ID =

		PC.COMPANY_ID AND P.COMPANY_ID = PP.COMPANY_ID

		AND P.STATUS=0 AND

		PP.STATUS=0 AND PC.STATUS=0

	</select>

	<!-- 根据类目id查询该条记录时关键属性并且时type类型是input的值的信息 -->

	<select id="findInputClassProperty" resultClass="java.util.HashMap"

		parameterClass="com.test.biz.dto.PpClassProperty">

		SELECT INPUT_TYPE AS "inputType" FROM PP_CLASS_PROPERTY

		WHERE

		CLASS_ID=#classId# AND IS_KEY=1

		AND (INPUT_TYPE='input' OR INPUT_TYPE='textarea') AND

		<include refid="COMMON_JUDGEMENT_RULE.Judge_Status_ChannelId_CompanyId" />

	</select>

</sqlMap>


mybatis的数据库表映射文件



<?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.ilvyou.system.dao.SysUserMapper" >

	<resultMap id="BaseResultMap" type="com.ilvyou.system.entity.SysUserEntity" >

		<id property="id" column="ID" jdbcType="VARCHAR"/>

		<result property="loginName" column="LOGIN_NAME" jdbcType="VARCHAR"/>

		<result property="loginPass" column="LOGIN_PASS" jdbcType="VARCHAR"/>

		<result property="userType" column="USER_TYPE" jdbcType="VARCHAR"/>

		<result property="regDate" column="REG_DATE" jdbcType="CHAR"/>

		<result property="email" column="EMAIL" jdbcType="VARCHAR"/>

		<result property="mobile" column="MOBILE" jdbcType="VARCHAR"/>

		<result property="qq" column="QQ" jdbcType="VARCHAR"/>

		<result property="photo" column="PHOTO" jdbcType="VARCHAR"/>

		<result property="cardType" column="CARD_TYPE" jdbcType="VARCHAR"/>

		<result property="cardValue" column="CARD_VALUE" jdbcType="VARCHAR"/>

		<result property="userName" column="USER_NAME" jdbcType="VARCHAR"/>

		<result property="userSex" column="USER_SEX" jdbcType="VARCHAR"/>

		<result property="userBir" column="USER_BIR" jdbcType="CHAR"/>

		<result property="userAddr" column="USER_ADDR" jdbcType="VARCHAR"/>

		<result property="jobName" column="JOB_NAME" jdbcType="VARCHAR"/>

		<result property="jobAddr" column="JOB_ADDR" jdbcType="VARCHAR"/>

		<result property="jobTel" column="JOB_TEL" jdbcType="VARCHAR"/>

		<result property="bornAddr" column="BORN_ADDR" jdbcType="VARCHAR"/>

		<result property="userStatus" column="USER_STATUS" jdbcType="INTEGER"/>

		<result property="roleType" column="ROLE_TYPE" jdbcType="VARCHAR"/>

	</resultMap>

    <sql id="Base_Column_List">

	ID          ,

	LOGIN_NAME  ,

	LOGIN_PASS  ,

	USER_TYPE   ,

	REG_DATE    ,

	EMAIL       ,

	MOBILE      ,

	QQ          ,

	PHOTO       ,

	CARD_TYPE   ,

	CARD_VALUE  ,

	USER_NAME   ,

	USER_SEX    ,

	USER_BIR    ,

	USER_ADDR   ,

	JOB_NAME    ,

	JOB_ADDR    ,

	JOB_TEL     ,

	BORN_ADDR   ,

	USER_STATUS ,

	ROLE_TYPE

    </sql>

    <sql id="select_by_page_outter_orderby_sql" >

      <if test="orderByClause != null">    order by ${orderByClause}   </if>

    </sql>

    <!--select mothed-->

    <select id="selectByPrimaryKey" parameterType="String" resultMap="SysUserEntityResultMap">

    select

    <include refid="Base_Column_List" />

    from SYS_USER

    where ID = #{id,jdbcType=VARCHAR}

    </select>

    <!--insert mothed-->

    <insert id="insert" parameterType="com.ilvyou.system.entity.SysUserEntity">

    insert into SYS_USER (

		<include refid="Base_Column_List" />

	  )

    values (

	#{id,jdbcType=VARCHAR},

	#{loginName,jdbcType=VARCHAR},

	#{loginPass,jdbcType=VARCHAR},

	#{userType,jdbcType=VARCHAR},

	#{regDate,jdbcType=CHAR},

	#{email,jdbcType=VARCHAR},

	#{mobile,jdbcType=VARCHAR},

	#{qq,jdbcType=VARCHAR},

	#{photo,jdbcType=VARCHAR},

	#{cardType,jdbcType=VARCHAR},

	#{cardValue,jdbcType=VARCHAR},

	#{userName,jdbcType=VARCHAR},

	#{userSex,jdbcType=VARCHAR},

	#{userBir,jdbcType=CHAR},

	#{userAddr,jdbcType=VARCHAR},

	#{jobName,jdbcType=VARCHAR},

	#{jobAddr,jdbcType=VARCHAR},

	#{jobTel,jdbcType=VARCHAR},

	#{bornAddr,jdbcType=VARCHAR},

	#{userStatus,jdbcType=INTEGER},

	#{roleType,,jdbcType=VARCHAR}

	)

    </insert>

    <insert id="batchInsert" >

	insert into SYS_USER (<include refid="Base_Column_List" />)

	values

	<foreach collection="list" item="item" index="index" separator=",">

	(

	#{item.id,jdbcType=VARCHAR},

	#{item.loginName,jdbcType=VARCHAR},

	#{item.loginPass,jdbcType=VARCHAR},

	#{item.userType,jdbcType=VARCHAR},

	#{item.regDate,jdbcType=CHAR},

	#{item.email,jdbcType=VARCHAR},

	#{item.mobile,jdbcType=VARCHAR},

	#{item.qq,jdbcType=VARCHAR},

	#{item.photo,jdbcType=VARCHAR},

	#{item.cardType,jdbcType=VARCHAR},

	#{item.cardValue,jdbcType=VARCHAR},

	#{item.userName,jdbcType=VARCHAR},

	#{item.userSex,jdbcType=VARCHAR},

	#{item.userBir,jdbcType=CHAR},

	#{item.userAddr,jdbcType=VARCHAR},

	#{item.jobName,jdbcType=VARCHAR},

	#{item.jobAddr,jdbcType=VARCHAR},

	#{item.jobTel,jdbcType=VARCHAR},

	#{item.bornAddr,jdbcType=VARCHAR},

	#{item.userStatus,jdbcType=INTEGER},

	#{item.roleType,jdbcType=VARCHAR}

	)

	</foreach>

    </insert>

    <update id="updateByPrimaryKeySelective" parameterType="com.ilvyou.system.entity.SysUserEntity">

    update SYS_USER

    <set>

      <if test="id != null">

       ID = #{id,jdbcType=VARCHAR},

      </if>

      <if test="loginName != null">

       LOGIN_NAME = #{loginName,jdbcType=VARCHAR},

      </if>

      <if test="loginPass != null">

       LOGIN_PASS = #{loginPass,jdbcType=VARCHAR},

      </if>

      <if test="userType != null">

       USER_TYPE = #{userType,jdbcType=VARCHAR},

      </if>

      <if test="regDate != null">

       REG_DATE = #{regDate,jdbcType=CHAR},

      </if>

      <if test="email != null">

       EMAIL = #{email,jdbcType=VARCHAR},

      </if>

      <if test="mobile != null">

       MOBILE = #{mobile,jdbcType=VARCHAR},

      </if>

      <if test="qq != null">

       QQ = #{qq,jdbcType=VARCHAR},

      </if>

      <if test="photo != null">

       PHOTO = #{photo,jdbcType=VARCHAR},

      </if>

      <if test="cardType != null">

       CARD_TYPE = #{cardType,jdbcType=VARCHAR},

      </if>

      <if test="cardValue != null">

       CARD_VALUE = #{cardValue,jdbcType=VARCHAR},

      </if>

      <if test="userName != null">

       USER_NAME = #{userName,jdbcType=VARCHAR},

      </if>

      <if test="userSex != null">

       USER_SEX = #{userSex,jdbcType=VARCHAR},

      </if>

      <if test="userBir != null">

       USER_BIR = #{userBir,jdbcType=CHAR},

      </if>

      <if test="userAddr != null">

       USER_ADDR = #{userAddr,jdbcType=VARCHAR},

      </if>

      <if test="jobName != null">

       JOB_NAME = #{jobName,jdbcType=VARCHAR},

      </if>

      <if test="jobAddr != null">

       JOB_ADDR = #{jobAddr,jdbcType=VARCHAR},

      </if>

      <if test="jobTel != null">

       JOB_TEL = #{jobTel,jdbcType=VARCHAR},

      </if>

      <if test="bornAddr != null">

       BORN_ADDR = #{bornAddr,jdbcType=VARCHAR},

      </if>

      <if test="userStatus != null">

       USER_STATUS = #{userStatus,jdbcType=INTEGER},

      </if>

      <if test="roleType != null">

       ROLE_TYPE = #{roleType,jdbcType=VARCHAR},

      </if>

     </set>

	where ID = #{id,jdbcType=VARCHAR}

     </update>

    <update id="batchUpdateByPrimaryKey" >

	<foreach collection="list" item="item" index="index">

	update SYS_USER set

	  LOGIN_NAME = #{item.loginName,jdbcType=VARCHAR},

	  LOGIN_PASS = #{item.loginPass,jdbcType=VARCHAR},

	  USER_TYPE = #{item.userType,jdbcType=VARCHAR},

	  REG_DATE = #{item.regDate,jdbcType=CHAR},

	  EMAIL = #{item.email,jdbcType=VARCHAR},

	  MOBILE = #{item.mobile,jdbcType=VARCHAR},

	  QQ = #{item.qq,jdbcType=VARCHAR},

	  PHOTO = #{item.photo,jdbcType=VARCHAR},

	  CARD_TYPE = #{item.cardType,jdbcType=VARCHAR},

	  CARD_VALUE = #{item.cardValue,jdbcType=VARCHAR},

	  USER_NAME = #{item.userName,jdbcType=VARCHAR},

	  USER_SEX = #{item.userSex,jdbcType=VARCHAR},

	  USER_BIR = #{item.userBir,jdbcType=CHAR},

	  USER_ADDR = #{item.userAddr,jdbcType=VARCHAR},

	  JOB_NAME = #{item.jobName,jdbcType=VARCHAR},

	  JOB_ADDR = #{item.jobAddr,jdbcType=VARCHAR},

	  JOB_TEL = #{item.jobTel,jdbcType=VARCHAR},

	  BORN_ADDR = #{item.bornAddr,jdbcType=VARCHAR},

	  USER_STATUS = #{item.userStatus,jdbcType=INTEGER},

	  ROLE_TYPE = #{item.roleType,jdbcType=VARCHAR}

	where ID = #{item.id,jdbcType=VARCHAR}

	</foreach>

    </update>

    <!--delete mothed-->

    <delete id="deleteByPrimaryKey" parameterType="String">

		delete from SYS_USER

		where ID = #{id,jdbcType=VARCHAR}

    </delete>

    <delete id="batchDelete">

		delete from SYS_USER

		where ID in (

		<foreach collection="list" item="item" index="index" separator=",">

			#{item.id,jdbcType=VARCHAR}

		</foreach>

		)

	</delete>

</mapper>


两者的区别有：



2.5.1 ibatis中根元素是sqlMap，mybatis中是mapper；


2.5.2 在 iBatis 中，namespace 不是必需的，且它的存在没有实际的意义。在 MyBatis 中，namespace 终于派上用场了，它使得映射文件与接口绑定变得非常自然。


2.5.3 ibatis中有resultMap和resultClass两种返回类型，resultMap是我们在ibatis的配置文件中定义的，也就是在配置文件中使用resultMap元素定义的；resultClass是指java语言中内置的类型，如：integer、java.util.HashMap等等；


mybatis中将两者统一为resultType，这样挺好的，开发者不用再记两个属性了。


2.5.4 ibatis中有parameterClass，mybatis中有parameterType，两者区别不大。


2.5.5 参数的写法比较


ibatis中写法，如代码片段：


WHERE ID = #id:VARCHAR#


mybatis中写法，如代码片段：


where ID = #{id,jdbcType=VARCHAR}


2.5.6 iBatis/MyBatis 调用存储过程的写法

iBatis 调用存储过程的方法，通过使用 <procedure> 元素进行存储过程的调用：



<parameterMap id="swapParameters" class="map" >     

 <parameter property="contactId" jdbcType="INTEGER" javaType="java.lang.Integer" mode="IN"/>     

 <parameter property="firstName" jdbcType="VARCHAR" javaType="java.lang.String" mode="IN"/>       

 <parameter property="lastName" jdbcType="VARCHAR" javaType="java.lang.String" mode="IN"/>     

</parameterMap>     

<procedure id="swapContactName" parameterMap="swapParameters" >     

{call swap_contact_name (?, ?,?)}      

</procedure>   


在 MyBatis 中，<proccedure> 元素已经被移除，通过 <select>、<insert> 和 <update> 进行定义：



  <select id="swapContactName" parameterMap="swapParameters" statementType="CALLABLE">

    { ? = call swap_contact_name (?,?,?)}

  </select>


如上所示，通过 statementType 属性将该语句标识为存储过程而非普通 SQL 语句。



2.6 ibatis和mybatis与spring的集成配置


ibatis的配置


	<!--===================================================================== -->

	<!-- iBATIS 配置文件定义 -->

	<!--===================================================================== -->

	<bean id="sqlMapClient" class="org.springframework.orm.ibatis.SqlMapClientFactoryBean">

		<property name="configLocation" value="classpath:sqlMap-config.xml" />

		<property name="dataSource" ref="dataSource" />

	</bean>




mybatis的配置


	<!-- define the MyBatis SqlSessionFactory -->

	<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">

		<property name="dataSource" ref="dataSource" />

		<property name="configLocation" value="classpath:com/ilvyou/core/config/mybatis-config.xml" />

		<property name="mapperLocations" value="classpath*:com/ilvyou/**/*Mapper.xml" />

	</bean>




通过前面的示例可以看出，MyBatis 在编码中的最大的改变就是将一个最常用的 API 由 SqlMapClient 改为了 SqlSessionFactory。另外，类型处理器接口也由原来的 TypeHandlerCallback 改为了 TypeHandler。最后 DataSourceFactory 也进行了调整，移动到 org.apache.ibatis.datasource 包下，其中的方法也作了微调。总之，代码层面公开的部分改动较少，不会给开发者造成较大的移植成本。


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