#mybatis常见批量处理
在开发当中，可能经常会遇到批量处理这种情况，一般都再在java层面进行，
其本质是节省数据库连接打开关闭的的次数，占用更少的运行内存。
mybatis批量插入
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< insert id = "saveFeeRuleList" useGeneratedKeys = "true" parameterType = "java.util.List" > < selectKey resultType = "java.lang.String" keyProperty = "id" order = "AFTER" > SELECT LAST_INSERT_ID() </ selectKey > INSERT INTO t_product_fee_rule( < include refid = "Base_Column_List" /> ) VALUES < foreach collection = "list" item = "item" index = "index" separator = "," > ( #{item.id},#{item.productId}, #{item.feeCode},#{item.feeValue}, #{item.remarks} ) </ foreach > </ insert > |
mybatis批量删除
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< delete id = "removeProductAgent" parameterType = "java.util.HashMap" > < foreach collection = "maps.agentIds" item = "item" index = "index" open = "" close = "" separator = ";" > DELETE FROM t_product_agent WHERE 1 = 1 AND product_id = #{maps.productId} AND agent_id = #{item} </ foreach > </ delete > |
此处的maps接口中的@Param值对应，属于自定义变量。
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void removeProductAgent(@Param("maps")Map< String , Object> map); |
mybatis批量修改
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< update id = "saveUpdateFeeRuleList" parameterType = "java.util.List" > < foreach collection = "list" item = "item" index = "index" open = "" close = "" separator = ";" > UPDATE t_product_fee_rule SET fee_value = #{item.feeValue}, remarks = #{item.remarks} WHERE id = #{item.id} </ foreach > </ update > |
myBatis mapper文件详解
本文的写作目的主要是带大家了解mapper的写法
表结构：
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CREATE TABLE customer ( id int (11) NOT NULL COMMENT ‘企业用户ID ', name varchar(45) DEFAULT NULL COMMENT ‘名称' , logo varchar (80) DEFAULT ‘ ' COMMENT ‘企业标识' , describe varchar (500) DEFAULT ‘ ' COMMENT ‘企业班车说明' , is_enable tinyint(1) DEFAULT ‘0 ' COMMENT ‘是否启用 1=启用 0=不启用' , phone varchar (20) DEFAULT NULL COMMENT ‘客服电话 ', admin varchar(50) DEFAULT NULL COMMENT ‘管理员账号' , password varchar (80) DEFAULT NULL COMMENT ‘管理员密码 ', uuid varchar(80) DEFAULT NULL COMMENT ‘企业唯一ID' , PRIMARY KEY (id) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 ; |
Mapper映射文件是在实际开发过程中使用最多的。
Mapper文件中包含的元素有
cache – 配置给定命名空间的缓存。 cache-ref – 从其他命名空间引用缓存配置。 resultMap – 映射复杂的结果对象。 sql – 可以重用的 SQL 块,也可以被其他语句引用。 insert – 映射插入语句 update – 映射更新语句 delete – 映射删除语句 select – 映射查询语句本文的代码都是用mybatis-generator生成的注释部分是博主自己加的：
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<? 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"> <!-- namespace绑定了与之对应的接口,值是该接口的全限定名;这个参数有且只有一个 --> < mapper namespace = "cn.rainbowbus.dao.CustomerMapper" >
<!-- 用来描述select语句返回字段与java属性的映射关系。 可以有多个resultMap标签，用不同id区分不同标签。 可以实现一对多,多对多关系 --> < resultMap id = "BaseResultMap" type = "cn.rainbowbus.entity.Customer" > <!-- column是表中的字段名。 property是对应的java属性。 jdbcTyep: 数据库中字段类型，它与Java中属性类型有对应关系，详情看下表。 id：数据库主键字段。 result：普通字段。 一对多标签 : collection> property:对应的java属性名 ofType:对应的java属类型 <id property="java属性" column="author_third_id" jdbcType="BIGINT"/> <result property="java属性" column="account_id" jdbcType="VARCHAR"/> --> < id column = "id" jdbcType = "INTEGER" property = "id" /> < result column = "name" jdbcType = "VARCHAR" javaType = "string" property = "name" /> < result column = "logo" jdbcType = "VARCHAR" property = "logo" /> < result column = "describe" jdbcType = "VARCHAR" property = "describe" /> < result column = "is_enable" jdbcType = "BIT" property = "isEnable" /> < result column = "phone" jdbcType = "VARCHAR" property = "phone" /> < result column = "admin" jdbcType = "VARCHAR" property = "admin" /> < result column = "password" jdbcType = "VARCHAR" property = "password" /> < result column = "uuid" jdbcType = "VARCHAR" property = "uuid" /> </ resultMap > <!-- 可以重用的 SQL 块,也可以被其他语句引用。
--> < sql id = "Example_Where_Clause" > < where >/* where 可以自动去除sql语句where关键字后的and关键字*/ /* 向sql传递数组或List, mybatis使用foreach解析,可以做批量处理。 collection:传入的集合的变量名称(要遍历的值)。 item:每次循环将循环出的数据放入这个变量中。 open:循环开始拼接的字符串。 close:循环结束拼接的字符串。 separator:循环中拼接的分隔符。 */ < foreach collection = "oredCriteria" item = "criteria" separator = "or" > /* 判断语句，test值等于true执行等于false跳过 test可以是一个值为Boolean型的计算语句 */ < if test = "criteria.valid" > /* 前缀'and' 被'(' 替换 prefix：前缀覆盖并增加其内容 不写的话默认替换为空 suffix：后缀覆盖并增加其内容 不写的话默认替换为空 prefixOverrides：前缀判断的条件 suffixOverrides：后缀判断的条件 */ < trim prefix = "(" prefixOverrides = "and" suffix = ")" > < foreach collection = "criteria.criteria" item = "criterion" > /* choose 是或(or)的关系。 choose标签是按顺序判断其内部when标签中的test条件出否成立，如果有一个成立，则 choose 结束。 当 choose 中所有 when 的条件都不满则时，则执行 otherwise 中的sql。 类似于Java 的 switch 语句，choose 为 switch，when 为 case，otherwise 则为 default。 */ < choose > < when test = "criterion.noValue" > and ${criterion.condition} </ when > < when test = "criterion.singleValue" > and ${criterion.condition} #{criterion.value} </ when > < when test = "criterion.betweenValue" > and ${criterion.condition} #{criterion.value} and #{criterion.secondValue} </ when > < when test = "criterion.listValue" > and ${criterion.condition} < foreach close = ")" collection = "criterion.value" item = "listItem" open = "(" separator = "," > #{listItem} </ foreach > </ when > </ choose > </ foreach > </ trim > </ if > </ foreach > </ where > </ sql > < sql id = "Update_By_Example_Where_Clause" > < where > < foreach collection = "example.oredCriteria" item = "criteria" separator = "or" > < if test = "criteria.valid" > < trim prefix = "(" prefixOverrides = "and" suffix = ")" > < foreach collection = "criteria.criteria" item = "criterion" > < choose > < when test = "criterion.noValue" > and ${criterion.condition} </ when > < when test = "criterion.singleValue" > and ${criterion.condition} #{criterion.value} </ when > < when test = "criterion.betweenValue" > and ${criterion.condition} #{criterion.value} and #{criterion.secondValue} </ when > < when test = "criterion.listValue" > and ${criterion.condition} < foreach close = ")" collection = "criterion.value" item = "listItem" open = "(" separator = "," > #{listItem} </ foreach > </ when > </ choose > </ foreach > </ trim > </ if > </ foreach > </ where > </ sql > < sql id = "Base_Column_List" > < if test = "fields == null" > id, name, logo, describe, is_enable, phone, admin, password, uuid </ if > < if test = "fields != null" > ${fields} </ if > </ sql >
<!-- select查询语句标签 id: 与namespace接口中的方法名对应 parameterType: 参数类型 resultMap : 返回值类型 自增IDset到对象中: useGeneratedKeys="true" keyProperty="id" keyColumn="id" 支持类型简写,详情看下表 --> < select id = "selectByExample" useGeneratedKeys = "true" keyProperty = "id" keyColumn = "id" parameterType = "cn.rainbowbus.entity.CustomerExample" resultMap = "BaseResultMap" > select < if test = "distinct" > distinct </ if > < include refid = "Base_Column_List" />/*引入一个SQL模块*/ from customer < if test = "_parameter != null" > < include refid = "Example_Where_Clause" /> </ if > < if test = "orderByClause != null" > order by ${orderByClause} </ if > < if test = "startRow != null" > limit #{startRow} , #{pageSize} </ if > </ select > < select id = "selectByPrimaryKey" parameterType = "java.lang.Integer" resultMap = "BaseResultMap" > select id,name,logo,describe,is_enable,phone,admin,password,uuid from customer where id = #{id,jdbcType=INTEGER} </ select > <!-- delete删除语句标签 id: 与namespace接口中的方法名对应 parameterType: 参数类型 --> < delete id = "deleteByPrimaryKey" parameterType = "java.lang.Integer" > delete from customer where id = #{id,jdbcType=INTEGER} </ delete > < delete id = "deleteByExample" parameterType = "cn.rainbowbus.entity.CustomerExample" > delete from customer < if test = "_parameter != null" > < include refid = "Example_Where_Clause" /> </ if > </ delete >
<!--插入语句--> < insert id = "insert" parameterType = "cn.rainbowbus.entity.Customer" > insert into customer (id, name, logo, describe, is_enable, phone, admin, password, uuid ) values (#{id,jdbcType=INTEGER}, #{name,jdbcType=VARCHAR}, #{logo,jdbcType=VARCHAR}, #{describe,jdbcType=VARCHAR}, #{isEnable,jdbcType=BIT}, #{phone,jdbcType=VARCHAR}, #{admin,jdbcType=VARCHAR}, #{password,jdbcType=VARCHAR}, #{uuid,jdbcType=VARCHAR} ) </ insert > < insert id = "insertSelective" parameterType = "cn.rainbowbus.entity.Customer" > insert into customer < trim prefix = "(" suffix = ")" suffixOverrides = "," > < if test = "id != null" > id, </ if > < if test = "name != null" > name, </ if > < if test = "logo != null" > logo, </ if > < if test = "describe != null" > describe, </ if > < if test = "isEnable != null" > is_enable, </ if > < if test = "phone != null" > phone, </ if > < if test = "admin != null" > admin, </ if > < if test = "password != null" > password, </ if > < if test = "uuid != null" > uuid, </ if > </ trim > < trim prefix = "values (" suffix = ")" suffixOverrides = "," > < if test = "id != null" > #{id,jdbcType=INTEGER}, </ if > < if test = "name != null" > #{name,jdbcType=VARCHAR}, </ if > < if test = "logo != null" > #{logo,jdbcType=VARCHAR}, </ if > < if test = "describe != null" > #{describe,jdbcType=VARCHAR}, </ if > < if test = "isEnable != null" > #{isEnable,jdbcType=BIT}, </ if > < if test = "phone != null" > #{phone,jdbcType=VARCHAR}, </ if > < if test = "admin != null" > #{admin,jdbcType=VARCHAR}, </ if > < if test = "password != null" > #{password,jdbcType=VARCHAR}, </ if > < if test = "uuid != null" > #{uuid,jdbcType=VARCHAR}, </ if > </ trim > </ insert > < select id = "countByExample" parameterType = "cn.rainbowbus.entity.CustomerExample" resultType = "java.lang.Long" > select count(*) from customer < if test = "_parameter != null" > < include refid = "Example_Where_Clause" /> </ if > </ select > < update id = "updateByExampleSelective" parameterType = "map" > update customer < set > < if test = "record.id != null" > id = #{record.id,jdbcType=INTEGER}, </ if > < if test = "record.name != null" > name = #{record.name,jdbcType=VARCHAR}, </ if > < if test = "record.logo != null" > logo = #{record.logo,jdbcType=VARCHAR}, </ if > < if test = "record.describe != null" > describe = #{record.describe,jdbcType=VARCHAR}, </ if > < if test = "record.isEnable != null" > is_enable = #{record.isEnable,jdbcType=BIT}, </ if > < if test = "record.phone != null" > phone = #{record.phone,jdbcType=VARCHAR}, </ if > < if test = "record.admin != null" > admin = #{record.admin,jdbcType=VARCHAR}, </ if > < if test = "record.password != null" > password = #{record.password,jdbcType=VARCHAR}, </ if > < if test = "record.uuid != null" > uuid = #{record.uuid,jdbcType=VARCHAR}, </ if > </ set > < if test = "_parameter != null" > < include refid = "Update_By_Example_Where_Clause" /> </ if > </ update > < update id = "updateByExample" parameterType = "map" > update customer set id = #{record.id,jdbcType=INTEGER}, name = #{record.name,jdbcType=VARCHAR}, logo = #{record.logo,jdbcType=VARCHAR}, describe = #{record.describe,jdbcType=VARCHAR}, is_enable = #{record.isEnable,jdbcType=BIT}, phone = #{record.phone,jdbcType=VARCHAR}, admin = #{record.admin,jdbcType=VARCHAR}, password = #{record.password,jdbcType=VARCHAR}, uuid = #{record.uuid,jdbcType=VARCHAR} < if test = "_parameter != null" > < include refid = "Update_By_Example_Where_Clause" /> </ if > </ update > < update id = "updateByPrimaryKeySelective" parameterType = "cn.rainbowbus.entity.Customer" > update customer < set > < if test = "name != null" > name = #{name,jdbcType=VARCHAR}, </ if > < if test = "logo != null" > logo = #{logo,jdbcType=VARCHAR}, </ if > < if test = "describe != null" > describe = #{describe,jdbcType=VARCHAR}, </ if > < if test = "isEnable != null" > is_enable = #{isEnable,jdbcType=BIT}, </ if > < if test = "phone != null" > phone = #{phone,jdbcType=VARCHAR}, </ if > < if test = "admin != null" > admin = #{admin,jdbcType=VARCHAR}, </ if > < if test = "password != null" > password = #{password,jdbcType=VARCHAR}, </ if > < if test = "uuid != null" > uuid = #{uuid,jdbcType=VARCHAR}, </ if > </ set > where id = #{id,jdbcType=INTEGER} </ update > < update id = "updateByPrimaryKey" parameterType = "cn.rainbowbus.entity.Customer" > update customer set name = #{name,jdbcType=VARCHAR}, logo = #{logo,jdbcType=VARCHAR}, describe = #{describe,jdbcType=VARCHAR}, is_enable = #{isEnable,jdbcType=BIT}, phone = #{phone,jdbcType=VARCHAR}, admin = #{admin,jdbcType=VARCHAR}, password = #{password,jdbcType=VARCHAR}, uuid = #{uuid,jdbcType=VARCHAR} where id = #{id,jdbcType=INTEGER} </ update > < update id = "batchUpdateByKeys" parameterType = "java.util.List" > update customer < trim prefix = "set" suffixOverrides = "," > < trim prefix = "id =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.id !=null " > when #{item.id,jdbcType=INTEGER} then #{item.id,jdbcType=INTEGER} </ if > < if test = "item.id ==null " > when #{item.id,jdbcType=INTEGER} then customer.id </ if > </ foreach > </ trim > < trim prefix = "name =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.name !=null " > when #{item.id,jdbcType=INTEGER} then #{item.name,jdbcType=VARCHAR} </ if > < if test = "item.name ==null " > when #{item.id,jdbcType=INTEGER} then customer.name </ if > </ foreach > </ trim > < trim prefix = "logo =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.logo !=null " > when #{item.id,jdbcType=INTEGER} then #{item.logo,jdbcType=VARCHAR} </ if > < if test = "item.logo ==null " > when #{item.id,jdbcType=INTEGER} then customer.logo </ if > </ foreach > </ trim > < trim prefix = "describe =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.describe !=null " > when #{item.id,jdbcType=INTEGER} then #{item.describe,jdbcType=VARCHAR} </ if > < if test = "item.describe ==null " > when #{item.id,jdbcType=INTEGER} then customer.describe </ if > </ foreach > </ trim > < trim prefix = "is_enable =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.isEnable !=null " > when #{item.id,jdbcType=INTEGER} then #{item.isEnable,jdbcType=BIT} </ if > < if test = "item.isEnable ==null " > when #{item.id,jdbcType=INTEGER} then customer.is_enable </ if > </ foreach > </ trim > < trim prefix = "phone =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.phone !=null " > when #{item.id,jdbcType=INTEGER} then #{item.phone,jdbcType=VARCHAR} </ if > < if test = "item.phone ==null " > when #{item.id,jdbcType=INTEGER} then customer.phone </ if > </ foreach > </ trim > < trim prefix = "admin =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.admin !=null " > when #{item.id,jdbcType=INTEGER} then #{item.admin,jdbcType=VARCHAR} </ if > < if test = "item.admin ==null " > when #{item.id,jdbcType=INTEGER} then customer.admin </ if > </ foreach > </ trim > < trim prefix = "password =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.password !=null " > when #{item.id,jdbcType=INTEGER} then #{item.password,jdbcType=VARCHAR} </ if > < if test = "item.password ==null " > when #{item.id,jdbcType=INTEGER} then customer.password </ if > </ foreach > </ trim > < trim prefix = "uuid =case id" suffix = "end," > < foreach collection = "recordList" index = "index" item = "item" > < if test = "item.uuid !=null " > when #{item.id,jdbcType=INTEGER} then #{item.uuid,jdbcType=VARCHAR} </ if > < if test = "item.uuid ==null " > when #{item.id,jdbcType=INTEGER} then customer.uuid </ if > </ foreach > </ trim > </ trim > where id in( < foreach collection = "recordList" index = "index" item = "item" separator = "," > #{item.id,jdbcType=INTEGER} </ foreach > ) </ update > < insert id = "batchInsert" parameterType = "cn.rainbowbus.entity.Customer" > insert into customer (id, name, logo, describe, is_enable, phone, admin, password, uuid) values < foreach collection = "list" item = "item" index = "index" separator = "," > (#{item.id,jdbcType=INTEGER}, #{item.name,jdbcType=VARCHAR}, #{item.logo,jdbcType=VARCHAR}, #{item.describe,jdbcType=VARCHAR}, #{item.isEnable,jdbcType=BIT}, #{item.phone,jdbcType=VARCHAR}, #{item.admin,jdbcType=VARCHAR}, #{item.password,jdbcType=VARCHAR}, #{item.uuid,jdbcType=VARCHAR})</ foreach > </ insert > < delete id = "batchDeleteByKeys" parameterType = "java.lang.Integer" > delete from customer where id in ( < foreach collection = "ids" index = "index" item = "id" separator = "," > #{id} </ foreach > ) </ delete > </ mapper > |
注意
#{}占位符: 占位
如果传入的是基本类型,那么#{}中的变量名称可以随意写
如果传入的参数是pojo类型,那么#{}中的变量名称必须是pojo中的属性.属性名(user.username)
$ {}拼接符: 字符串原样拼接(有sql注入的风险)
如果传入的是基本类型,那么中 的 变 量 名 必 须 是 v a l u e 如 果 传 入 的 参 数 是 p o j o 类 型 , 那 么 {}中的变量名必须是value 如果传入的参数是pojo类型,那么中的变量名必须是value如果传入的参数是pojo类型,那么{}中的变量名称必须是pojo中的属性.属性名(user.username)
注意：使用拼接符有可能造成sql注入,在页面输入的时候可以加入校验,不可输入sql关键字,不可输入空格
注意：如果是取简单数量类型的参数，括号中的值必须为value
例: select * from user where username like ‘%${value}%'
可以这样写来解决sql注入：select * from user where username like ‘%' #{name}'%'(开发经常使用)
动态SQL
Mybatis提供了9种动态sql标签：trim | where | set | foreach | if | choose | when | otherwise | bind。
1.判断语句if
判断语句，test值等于true执行等于false跳过,test可以是一个值为Boolean型的计算语句
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< if test = "true" > </ if > |
2.修剪语句：trim
前缀'and' 被'(' 替换 prefix ：前缀覆盖并增加其内容 不写的话默认替换为空 suffix ：后缀覆盖并增加其内容 不写的话默认替换为空 prefixOverrides ：前缀判断的条件 suffixOverrides ：后缀判断的条件
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< trim prefix = "(" suffix = ")" prefixOverrides = "and" ></ trim > |
3.循环语句：foreach
向sql传递数组或List, mybatis使用foreach解析,可以做批量处理。 collection :传入的集合的变量名称(要遍历的值)。 item :每次循环将循环出的数据放入这个变量中。 open :循环开始拼接的字符串。 close :循环结束拼接的字符串。 separator :循环中拼接的分隔符。
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< foreach collection = "oredCriteria" item = "criteria" separator = "or" ></ foreach > |
4.选择语句：choose
类似于Java 的 switch 语句，choose 为 switch，when 为 case，otherwise 则为 default。
choose 是或(or)的关系。choose标签是按顺序判断其内部when标签中的test条件出否成立，如果有一个成立，则 choose 结束。当 choose 中所有 when 的条件都不满则时，则执行 otherwise 中的sql。
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< choose > < when test = "false" > ... </ when > < when test = "true" > ... </ when > < otherwise > ...同样这不是必须的 </ otherwise > </ choose > |
mapper对应的Java接口文件：
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package cn.rainbowbus.dao; import cn.rainbowbus.entity.Customer; import cn.rainbowbus.entity.CustomerExample; import java.util.List; import org.apache.ibatis.annotations.Param; public interface CustomerMapper { long countByExample(CustomerExample example); int deleteByExample(CustomerExample example); int deleteByPrimaryKey(Integer id); int insert(Customer record); int insertSelective(Customer record); List<Customer> selectByExample(CustomerExample example); Customer selectByPrimaryKey(Integer id); int updateByExampleSelective( @Param ( "record" ) Customer record, @Param ( "example" ) CustomerExample example); int updateByExample( @Param ( "record" ) Customer record, @Param ( "example" ) CustomerExample example); int updateByPrimaryKeySelective(Customer record); int updateByPrimaryKey(Customer record); int batchUpdateByKeys( @Param ( "recordList" ) List<Customer> recordList); void batchInsert(List<Customer> recordLst); int batchDeleteByKeys( @Param ( "ids" ) Integer[] ids); } |
mybatis支持别名：
| _byte | byte |
| _long | long |
| _short | short |
| _int | int |
| _integer | int |
| _double | double |
| _float | float |
| _boolean | boolean |
| string | String |
| byte | Byte |
| long | Long |
| short | Short |
| int | Integer |
| integer | Integer |
| double | Double |
| float | Float |
| boolean | Boolean |
| date | Date |
| decimal | BigDecimal |
| bigdecimal | BigDecimal |
| map | Map |
jdbcType与JavaType的映射关系
| CHAR | String |
| ARCHAR | String |
| ONGVARCHAR | String |
| UMERIC | java.math.BigDecimal |
| ECIMAL | java.math.BigDecimal |
| IT | boolean |
| OOLEAN | boolean |
| INYINT | byte |
| SMALLINT | short |
| INTEGER | int |
| BIGINT | long |
| REAL | float |
| FLOAT | double |
| DOUBLE | double |
| BINARY | byte[] |
| VARBINARY | byte[] |
| LONGVARBINARY | byte[] |
| DATE | java.sql.Date |
| TIME | java.sql.Time |
| TIMESTAMP | java.sql.Timestamp |
| CLOB | Clob |
| BLOB | Blob |
| ARRAY | Array |
| DISTINCT | mapping of underlying type |
| STRUCT | Struct |
| REF | Ref |
| DATALINK | java.net.URL[color=red][/color] |
以上为个人经验，希望能给大家一个参考，也希望大家多多支持。
原文链接：https://zengwei.blog.csdn.net/article/details/72958460
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