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 mybatis 批量插入数据，xml文件到底如何写呀 ？这里备注一下

1. 批量插入数据：batchInsert

mapper 代码： 

package com.xxxx.mapper;
import org.apache.ibatis.annotations.Param;
import tk.mybatis.mapper.common.Mapper;
 
import java.util.List;
 
public interface XXXXRepoMapper extends Mapper {
 
    void batchInsert(@Param("list") List list);
 
}

mapper xml

"1.0" encoding="UTF-8"?>
mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.xx.yy.mapper.XXXRepoMapper">
    <resultMap id="BaseResultMap" type="com.xx.yy.XXXXRepo">
        <id column="ID" jdbcType="INTEGER" property="id" />
        <result column="code" jdbcType="VARCHAR" property="code" />
        <result column="name" jdbcType="VARCHAR" property="name" />
        <result column="parent_code" jdbcType="VARCHAR" property="parentCode" />
        <result column="type" jdbcType="TINYINT" property="type" />
        <result column="active_flag" jdbcType="TINYINT" property="activeFlag" />
        <result column="creator" jdbcType="BIGINT" property="creator" />
        <result column="modifier" jdbcType="BIGINT" property="modifier" />
        <result column="create_time" jdbcType="TIMESTAMP" property="createTime" />
        <result column="modify_time" jdbcType="TIMESTAMP" property="modifyTime" />
    resultMap>
 
 
    <sql id="table_name">
        t_xxx_repo
    sql>
 
    <sql id="Base_Column_List">
        id,code,name,parent_code,type,active_flag,creator,modifier,create_time,modify_time
    sql>
 
    <insert id="batchInsert" useGeneratedKeys="true" keyColumn="id" keyProperty="id">
        insert into <include refid="table_name"/>
        (<include refid="Base_Column_List"/>) values
        <foreach collection="list" index="index" item="item" separator=",">
            (null,#{item.code,jdbcType=VARCHAR},#{item.name,jdbcType=VARCHAR},#{item.parentCode,jdbcType=VARCHAR},#{item.type,jdbcType=TINYINT},1,
            #{item.creator,jdbcType=BIGINT},#{item.modifier,jdbcType=BIGINT},now(),now())
        foreach>
    insert>
 
 
 
mapper>

2. 批量更新数据：batchUpdate