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。