今天項目搞完了,我就把所學的,以及在項目中用到拿來貼一番,也是對我個人技術的總結吧,怎樣快速開發,準備工作我就不說了。。。
1.ibatis 實例配置(sqlMapConfig.xml)
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE sqlMapConfig PUBLIC "-//ibatis.apache.org//DTD SQL Map Config 2.0//EN"
"http://java.plugbase.org/dtd/sql-map-config-2.dtd">
<sqlMapConfig>
<!-- Configure a built-in transaction manager. If you're using an
app server, you probably want to use its transaction manager
and a managed datasource -->
//緩存配置
<settings
enhancementEnabled ="true"
lazyLoadingEnabled ="true"
errorTracingEnabled ="true"
maxSessions ="200"
useStatementNamespaces ="false"
/>
//數據庫連接-事務管理
<transactionManager type="JDBC" commitRequired="false">
<dataSource type="SIMPLE">
<property name="JDBC.Driver" value="com.mysql.jdbc.Driver"/>
<property name="JDBC.ConnectionURL" value="jdbc:mysql://localhost:3306/imdbtest?characterEncoding=UTF-8"/>
<property name="JDBC.Username" value="sa"/>
<property name="JDBC.Password" value="sa"/>
<property name="Pool.MaximumActiveConnections" value="100"/>
<property name="Pool.MaximumIdleConnections" value="20"/>
<property name="Pool.MaximumCheckoutTime" value="20000"/>
<property name="Pool.TimeToWait" value="10000"/>
<property name="Pool.PingQuery" value="select * from dual"/>
<property name="Pool.PingEnabled" value="false"/>
<property name="Pool.PingConnectionsOlderThan" value="1"/>
<property name="Pool.PingConnectionsNotUsedFor" value="1"/>
</dataSource>
</transactionManager>
<!-- List the SQL Map XML files. They can be loaded from the
classpath, as they are here (com.domain.data
) -->
//引入sql映射文件
<sqlMap resource="org/plugbase/company/resources/sql.xml" />
</sqlMapConfig>
<!DOCTYPE sqlMapConfig PUBLIC "-//ibatis.apache.org//DTD SQL Map Config 2.0//EN"
"http://java.plugbase.org/dtd/sql-map-config-2.dtd">
<sqlMapConfig>
<!-- Configure a built-in transaction manager. If you're using an
app server, you probably want to use its transaction manager
and a managed datasource -->
//緩存配置
<settings
enhancementEnabled ="true"
lazyLoadingEnabled ="true"
errorTracingEnabled ="true"
maxSessions ="200"
useStatementNamespaces ="false"
/>
//數據庫連接-事務管理
<transactionManager type="JDBC" commitRequired="false">
<dataSource type="SIMPLE">
<property name="JDBC.Driver" value="com.mysql.jdbc.Driver"/>
<property name="JDBC.ConnectionURL" value="jdbc:mysql://localhost:3306/imdbtest?characterEncoding=UTF-8"/>
<property name="JDBC.Username" value="sa"/>
<property name="JDBC.Password" value="sa"/>
<property name="Pool.MaximumActiveConnections" value="100"/>
<property name="Pool.MaximumIdleConnections" value="20"/>
<property name="Pool.MaximumCheckoutTime" value="20000"/>
<property name="Pool.TimeToWait" value="10000"/>
<property name="Pool.PingQuery" value="select * from dual"/>
<property name="Pool.PingEnabled" value="false"/>
<property name="Pool.PingConnectionsOlderThan" value="1"/>
<property name="Pool.PingConnectionsNotUsedFor" value="1"/>
</dataSource>
</transactionManager>
<!-- List the SQL Map XML files. They can be loaded from the
classpath, as they are here (com.domain.data

//引入sql映射文件
<sqlMap resource="org/plugbase/company/resources/sql.xml" />
</sqlMapConfig>
2.ORM的映射文件(sqlMap.xml),ibatis高明的地方就在此,sql語句讓你自己寫,這樣多開放,多自由。。。
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE sqlMap
PUBLIC "-//ibatis.apache.org//DTD SQL Map 2.0//EN"
"http://java.plugbase.org/dtd/sql-map-2.dtd">
<sqlMap namespace="users">
<!-- 別名 -->
<typeAlias alias="User" type="org.plugbase.entity.Users"/>
<!-- 對象與關系映射-結果集 -->
<resultMap class="User" id="userResult">
<result property="id" column="id"/>
<result property="username" column="username"/>
<result property="password" column="password"/>
<result property="gender" column="gender"/>
<result property="birth" column="birth"/>
</resultMap>
<!-- 按主鍵查詢用戶 -->
<select id="getUserById" parameterClass="java.lang.Integer" resultMap="userResult">
<![CDATA[
select * from users
where id = #id#
]]>
</select>
<!-- 添加用戶 -->
<insert id="insertUser" parameterClass="User">
<![CDATA[
insert into users(username,password,gender,birth)
values(#username#,#password#,#gender#,#birth#)
]]>
</insert>
<!-- 刪除用戶 -->
<delete id="deleteUser" parameterClass="java.lang.Integer">
<![CDATA[
delete from users
where id = #id#
]]>
</delete>
<!-- 更新用戶 -->
<update id="updateUser" parameterClass="User">
<![CDATA[
update users
set username = #username#,gender = #gender#,birth = #birth#
where id = #id#
]]>
</update>
</sqlMap>
說一下幾個屬性:<!DOCTYPE sqlMap
PUBLIC "-//ibatis.apache.org//DTD SQL Map 2.0//EN"
"http://java.plugbase.org/dtd/sql-map-2.dtd">
<sqlMap namespace="users">
<!-- 別名 -->
<typeAlias alias="User" type="org.plugbase.entity.Users"/>
<!-- 對象與關系映射-結果集 -->
<resultMap class="User" id="userResult">
<result property="id" column="id"/>
<result property="username" column="username"/>
<result property="password" column="password"/>
<result property="gender" column="gender"/>
<result property="birth" column="birth"/>
</resultMap>
<!-- 按主鍵查詢用戶 -->
<select id="getUserById" parameterClass="java.lang.Integer" resultMap="userResult">
<![CDATA[
select * from users
where id = #id#
]]>
</select>
<!-- 添加用戶 -->
<insert id="insertUser" parameterClass="User">
<![CDATA[
insert into users(username,password,gender,birth)
values(#username#,#password#,#gender#,#birth#)
]]>
</insert>
<!-- 刪除用戶 -->
<delete id="deleteUser" parameterClass="java.lang.Integer">
<![CDATA[
delete from users
where id = #id#
]]>
</delete>
<!-- 更新用戶 -->
<update id="updateUser" parameterClass="User">
<![CDATA[
update users
set username = #username#,gender = #gender#,birth = #birth#
where id = #id#
]]>
</update>
</sqlMap>
傳入參數:一般都是用parameterClass,它可以傳遞Javabean對象或單純的數據(如:int、String型),自己封裝的集合如Map,很方便,至于parameterMap配起來比較麻煩,有的人甚至連resultMap都不愿意配。
返回參數:則比較靈活了,resultClass和resultMap隨你選,你要懶,就用resultClass吧,直接將JavaBean引進來,resultMap都不需要了。。。如resultClass = "org.plugbase.entity.Users";
3.在項目中一般與其它框架相配合,那么ibatis作為持久化層只需要如下封裝提供SqlMapClient接口便行:
String resource ="com/ibatis/sample/SqlMapConfig.xml";
Reader reader;
reader = Resources.getResourceAsReader(resource);
XmlSqlMapClientBuilder xmlBuilder =
new XmlSqlMapClientBuilder();
SqlMapClient sqlMap = xmlBuilder.buildSqlMap(reader);
Reader reader;
reader = Resources.getResourceAsReader(resource);
XmlSqlMapClientBuilder xmlBuilder =
new XmlSqlMapClientBuilder();
SqlMapClient sqlMap = xmlBuilder.buildSqlMap(reader);
4.sqlMap關鍵技術:
a.分頁:基于mysql的分頁固然很方便,只需將索引與頁面大小用Map傳遞過來即可:
<!-- 查詢所有用戶總記錄數 -->
<select id="getUsersAllCount" resultClass="java.lang.Integer">
<![CDATA[
select count(*) from users
]]>
</select>
<!-- 分頁查詢所有用戶 -->
<select id="getUsersByCurrentIndexAndPageSize" parameterClass="map" resultMap="userResult">
<![CDATA[
select * from users
order by id desc
limit #index#,#pageSize#
]]>
</select>
只可惜有點不足,那就是每次必須得查兩次。。。<select id="getUsersAllCount" resultClass="java.lang.Integer">
<![CDATA[
select count(*) from users
]]>
</select>
<!-- 分頁查詢所有用戶 -->
<select id="getUsersByCurrentIndexAndPageSize" parameterClass="map" resultMap="userResult">
<![CDATA[
select * from users
order by id desc
limit #index#,#pageSize#
]]>
</select>
b.動態映射:一般就是根據判定條件動態查詢,分一元判定和二元判定:
一元判定有:
節點名 描述
<isPropertyAvailable> 參數類中是否提供了此屬性
<isNotPropertyAvailable> 與<isPropertyAvailable>相反
<isNull> 屬性值是否為NULL
<isNotNull> 與<isNull>相反
<isEmpty> 如果屬性為Collection或者String,其size是否<1,
如果非以上兩種類型,則通過String.valueOf(屬性值)
獲得其String類型的值后,判斷其size是否<1
<isNotEmpty> 與<isEmpty>相反。
用得比較多的就是<isNotNull>、<isNotEmpty>相關的。。。
<select id="getUsers" parameterClass="user" resultMap="get-user-result">
select * from t_user
<dynamic prepend="WHERE">
<isNotEmpty prepend="AND" property="name">
(name like #name#)
</isNotEmpty>
<isNotEmpty prepend="AND" property="address">
(address like #address#)
</isNotEmpty>
</dynamic>
</select>
select * from t_user
<dynamic prepend="WHERE">
<isNotEmpty prepend="AND" property="name">
(name like #name#)
</isNotEmpty>
<isNotEmpty prepend="AND" property="address">
(address like #address#)
</isNotEmpty>
</dynamic>
</select>
二元判定有:
節點名 屬性值與compareValues的關系
<isEqual> 相等。
<isNotEqual> 不等。
<isGreaterThan> 大于
<isGreaterEqual> 大于等于
<isLessThan> 小于
<isLessEqual> 小于等于
<isGreaterThan prepend="AND" property="age"
compareValue="18">
(age=#age#)
</isGreaterThan>
其中,property="age"指定了屬性名”age”,compareValue=”18”指明compareValue="18">
(age=#age#)
</isGreaterThan>
了判定值為”18”。
上面判定節點isGreaterThan 對應的語義是:如果age 屬性大于
18(compareValue),則在SQL中加入(age=#age#)條件。
c.批量刪除,這一點ibatis做得比較好,只需要傳入一組id數組就ok,比以往的for循環好多了。。。
<delete id="deleteNews" parameterClass="map">
delete from news
<iterate prepend="where" property="newsids" open="(" close=")" conjunction="OR">
newsid =#newsids[]#
</iterate>
</delete>
屬性conjunction是起到中間連接符的作用,有or,and等delete from news
<iterate prepend="where" property="newsids" open="(" close=")" conjunction="OR">
newsid =#newsids[]#
</iterate>
</delete>
sql語句如delete from news where (newsid = 1 or newsid = 2)
d.批量修改,類似刪除:
<update id="updateTypeByC_ids" parameterClass="map" >
<![CDATA[
update client
set mod_uid=#mod_uid#,mod_time=#mod_time#,type=#type#
where cid=#cid#
]]>
<isNotNull property="c_ids">
<iterate prepend="AND" property="c_ids" open="(" close=")" conjunction="OR">
c_id =#c_ids[]#
</iterate>
</isNotNull>
</update>
<![CDATA[
update client
set mod_uid=#mod_uid#,mod_time=#mod_time#,type=#type#
where cid=#cid#
]]>
<isNotNull property="c_ids">
<iterate prepend="AND" property="c_ids" open="(" close=")" conjunction="OR">
c_id =#c_ids[]#
</iterate>
</isNotNull>
</update>
e.動態模糊查詢關于like的寫法,有三種方式:
一種使用concat()函數:
<!-- 全查詢記錄數 -->
<select id="countNews" resultClass="int">
select count(*) from news
<isNotNull prepend="where" property="key">
$key$ like concat('%',#value#,'%')
</isNotNull>
<isNotNull prepend="where" property="type">
$type$ = #value#
</isNotNull>
</select>
還有下面兩種拼接:<select id="countNews" resultClass="int">
select count(*) from news
<isNotNull prepend="where" property="key">
$key$ like concat('%',#value#,'%')
</isNotNull>
<isNotNull prepend="where" property="type">
$type$ = #value#
</isNotNull>
</select>
<select id="getPersonsByName" resultClass="com.unmi.Person">
select id as id,name as name,passwd as passwd from person
<dynamic prepend="WHERE">
<isNotNull prepend="AND" property="name">
(name like '%$name$%')
<!-- (name like '%'||#name#||'%') -->
</isNotNull>
</dynamic>
</select>
select id as id,name as name,passwd as passwd from person
<dynamic prepend="WHERE">
<isNotNull prepend="AND" property="name">
(name like '%$name$%')
<!-- (name like '%'||#name#||'%') -->
</isNotNull>
</dynamic>
</select>
先記到這吧,以后再加。。。