Mybatis-plus學習筆記
在Springboot中使用mp並測試
在pom文件中引入如下依賴:(mp依賴和mysq依賴)
<!--mybatis-plus-->
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>3.1.1</version>
</dependency>
<!--mysql驅動-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
基礎配置:
在application.yml中配置基本數據連接信息:
# DataSource Config
spring:
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/mp?useSSL=false&serverTimezone=GMT%2B8
username: root
password: root
# Logger Config
logging:
level:
com.neo: warn
com.neo.mapper: trace
pattern:
console: '%p%m%n'
調入測試數據庫腳本:
/*
Navicat Premium Data Transfer
Source Server : 本地數據庫
Source Server Type : MySQL
Source Server Version : 50726
Source Host : localhost:3306
Source Schema : mp
Target Server Type : MySQL
Target Server Version : 50726
File Encoding : 65001
Date: 02/02/2020 21:11:32
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for user
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`id` bigint(20) NOT NULL COMMENT '主鍵',
`name` varchar(30) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '姓名',
`age` int(11) NULL DEFAULT NULL COMMENT '年齡',
`email` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '郵箱',
`manager_id` bigint(20) NULL DEFAULT NULL COMMENT '直屬上級id',
`create_time` datetime(0) NULL DEFAULT NULL COMMENT '創建時間',
PRIMARY KEY (`id`) USING BTREE,
INDEX `manager_fk`(`manager_id`) USING BTREE,
CONSTRAINT `manager_fk` FOREIGN KEY (`manager_id`) REFERENCES `user` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of user
-- ----------------------------
INSERT INTO `user` VALUES (1087982257332887553, '大boss', 40, 'boss@baomidou.com', NULL, '2019-01-11 14:20:20');
INSERT INTO `user` VALUES (1088248166370832385, '王天風', 25, 'wtf@baomidou.com', 1087982257332887553, '2019-02-05 11:12:22');
INSERT INTO `user` VALUES (1088250446457389058, '李藝偉', 28, 'lyw@baomidou.com', 1088248166370832385, '2019-02-14 08:31:16');
INSERT INTO `user` VALUES (1094590409767661570, '張雨琪', 31, 'zjq@baomidou.com', 1088248166370832385, '2019-01-14 09:15:15');
INSERT INTO `user` VALUES (1094592041087729666, '劉紅雨', 32, 'lhm@baomidou.com', 1088248166370832385, '2019-01-14 09:48:16');
SET FOREIGN_KEY_CHECKS = 1;
在Springboot的測試包中創建測試類,測試配置是否成功:
package com.neo;
import com.neo.mapper.UserMapper;
import com.neo.model.User;
import org.junit.Assert;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import java.sql.SQLOutput;
import java.util.List;
/**
* @author Alex
* @create 2020-02-02 20:37
**/
@RunWith(SpringRunner.class)
@SpringBootTest
public class SimpleTest {
@Autowired
private UserMapper userMapper;
@Test
public void select(){
List<User> users = userMapper.selectList(null);
Assert.assertEquals(5,users.size());
users.forEach(System.out::println);
}
}
測試結果:
User(id=1087982257332887553, name=大boss, age=40, email=boss@baomidou.com, managerId=null, createTime=2019-01-11T14:20:20)
User(id=1088248166370832385, name=王天風, age=25, email=wtf@baomidou.com, managerId=1087982257332887553, createTime=2019-02-05T11:12:22)
User(id=1088250446457389058, name=李藝偉, age=28, email=lyw@baomidou.com, managerId=1088248166370832385, createTime=2019-02-14T08:31:16)
User(id=1094590409767661570, name=張雨琪, age=31, email=zjq@baomidou.com, managerId=1088248166370832385, createTime=2019-01-14T09:15:15)
User(id=1094592041087729666, name=劉紅雨, age=32, email=lhm@baomidou.com, managerId=1088248166370832385, createTime=2019-01-14T09:48:16)
通用mapper
新增(Create)
◆新增方法
UserMapper代碼:
package com.neo.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.neo.model.User;
import org.apache.ibatis.annotations.Mapper;
//要使用mp,就要集成BaseMapper
@Mapper
public interface UserMapper extends BaseMapper<User> {
}
在測試方法中調用userMapper中的insert方法:
@Test
public void insert(){
User user = new User();
user.setName("黃小明");
user.setAge(20);
user.setManagerId(1088248166370832385L);
user.setCreateTime(LocalDateTime.now());
int rows = userMapper.insert(user);
System.out.println("影響記錄數:"+rows);
}
測試結果:
DEBUG==> Preparing: INSERT INTO user ( id, name, age, manager_id, create_time ) VALUES ( ?, ?, ?, ?, ? )
DEBUG==> Parameters: 1223961279246393345(Long), 黃小明(String), 20(Integer), 1088248166370832385(Long), 2020-02-02T21:28:03.621(LocalDateTime)
DEBUG<== Updates: 1
影響記錄數:1
◆常用注解
@TabName注解
當修改數據庫表明卻不想修改實體類型時,可以通過@TabName("數據庫表名")來指定表名,否則會運行報錯
@Data
@TableName("mp_user")
public class User {
//主鍵
private Long id;
//姓名
private String name;
//年齡
private Integer age;
//郵箱
private String email;
//直屬上級
private Long managerId;
//創建時間
private LocalDateTime createTime;
}
@TabId注解
當實例中主鍵與數據庫中的主鍵名稱不一致時(例如實例中為駝峰命名,數據庫表中為下划線命名),可使用該注解
@TableField注解
當實例中的字段與數據庫中的字段不同時,就可以使用該注解映射,如下例:
@TableField("name")
private String realName;
◆排除非表字段的三種方式
第一種方法:在聲明類屬性時使用 transient 關鍵字聲明
第二種方法:如上方法可能無法序列化該字段,故可以在聲明類屬性時:使用 static 關鍵字聲明為靜態變量(注意,用static 聲明的靜態變量lombok不會為其添加set和get方法)
第三種方法:使用@TableField(exist = true)注解注解 其中括號中的 exist = true 表示該字段不是數據庫表中的字段,無需映射
查詢(Retrieve)
◆基本查詢方法
通過id查詢:selectById()方法
@Test
public void selectById() {
User user = userMapper.selectById(1094590409767661570L);
System.out.println(user);
}
批量查詢:selectBatchIds()
@Test
public void selectByIds() {
List<Long> idsList = Arrays.asList(1094592041087729666L, 1223961279246393345L, 1088250446457389058L);
List<User> users = userMapper.selectBatchIds(idsList);
users.forEach(System.out::println);
}
通過map查詢:
@Test
public void selectByMap() {
Map<String,Object> columnMap = new HashMap<>();
columnMap.put("name","王天風");
columnMap.put("age",25);
//通過此map會執行類似 where name="王天風" and age=25 的sql
List<User> userList = userMapper.selectByMap(columnMap);
userList.forEach(System.out::println);
}
注意:此map中的鍵名為數據表中列名,並非實體類中的屬性名
◆以條件構造器為參數的查詢方法
/* 查詢要求:
1、名字中包含雨並且年齡小於40
name like '%雨%' and age<40
*/
@Test
public void selectByWrapper() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.like("name","雨").lt("age",40);
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
/*
2、名字中包含雨年並且齡大於等於20且小於等於40並且email不為空
name like '%雨%' and age between 20 and 40 and email is not null
*/
@Test
public void selectByWrapper2() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.like("name","雨").between("age",20,40).isNotNull("email");
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
/*
3、名字為王姓或者年齡大於等於25,按照年齡降序排列,年齡相同按照id升序排列
name like '王%' or age>=25 order by age desc,id asc
*/
@Test
public void selectByWrapper3() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.likeRight("name","王").or()
.ge("age",25).orderByDesc("age").orderByAsc("id");
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
/*
4、創建日期為2019年2月14日並且直屬上級為名字為王姓
date_format(create_time,'%Y-%m-%d')='2019-02-14' and manager_id in (select id from user where name like '王%')
*/
@Test
public void selectByWrapper4() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.apply("date_format(create_time,'%Y-%m-%d')={0}","2019-02-14")
.inSql("manager_id","select id from user where name like '王%'");
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
//注意:以上方法查詢為推薦查詢,不建議寫如下方式查詢:會導致sql注入風險
//queryWrapper.apply("date_format(create_time,'%Y-%m-%d')="2019-02-14")
/*
5、名字為王姓並且(年齡小於40或郵箱不為空)
name like '王%' and (age<40 or email is not null)
*/
@Test
public void selectByWrapper5() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.likeRight("name","王").
and(wq->wq.lt("age",40)
.or().isNotNull("email"));
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
/*
6、名字為王姓或者(年齡小於40並且年齡大於20並且郵箱不為空)
name like '王%' or (age<40 and age>20 and email is not null)
*/
@Test
public void selectByWrapper6() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.likeRight("name","王")
.or(wq->wq.lt("age",40).gt("age",20).isNotNull("email"));
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
/*
7、(年齡小於40或郵箱不為空)並且名字為王姓
(age<40 or email is not null) and name like '王%'
*/
@Test
public void selectByWrapper7() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.nested(wq->wq.lt("age",40).or().
isNotNull("email"))
.likeRight("name","王");
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
/*
8、年齡為30、31、34、35
age in (30、31、34、35)
*/
@Test
public void selectByWrapper8() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
//等同於
//QueryWrapper<User> query = Wrappers.<User>query();
queryWrapper.in("age",Arrays.asList(30,31,34,35));
//注意:此處的鍵名依舊為數據庫中的列名
List<User> userList = userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
◆select中字段不全出現的處理方法
並非每次查詢都要查詢所有字段,測試可用如下方法查詢
/*
10、名字中包含雨並且年齡小於40(需求1加強版)
第一種情況:select id,name
from user
where name like '%雨%' and age<40
*/
@Test
public void selectByWrapperSuper() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
queryWrapper.select("id","name").like("name","雨").lt("age",40);
List<User> userList =userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
/*
第二種情況:select id,name,age,email
from user
where name like '%雨%' and age<40
*/
@Test
public void selectByWrapperSuper2() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
queryWrapper.like("name","雨").lt("age",40)
.select(User.class,info->!info.getColumn().equals("create_time")
&&!info.getColumn().equals("manager_id"));
List<User> userList =userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
◆條件構造器中condition作用
@Test
public void testCondition() {
String name="王";
String email="";
condition(name,email);
}
public void condition(String name,String email){
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
// if(StringUtils.isNotEmpty(name)){
// queryWrapper.like("name",name);
// }
// if(StringUtils.isNotEmpty(email)){
// queryWrapper.like("email",email);
// }
//以上代碼過於臃腫,可采用如下代碼代替
queryWrapper.like(StringUtils.isNotEmpty(name),"name",name)
.like(StringUtils.isNotEmpty(email),"email",email);
List<User> userList =userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
◆創建條件構造器時傳入實體對象
@Test
public void selectByWrapperEntity() {
User whereUser = new User();
whereUser.setName("劉紅雨");
whereUser.setAge(32);
QueryWrapper<User> queryWrapper = new QueryWrapper<User>(whereUser);
List<User> userList =userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
◆條件構造器中allEq用法
@Test
public void selectByWrapperAllEq() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
Map<String,Object> params = new HashMap<String,Object>();
params.put("name","王天風");
params.put("age","25");
queryWrapper.allEq(params);
List<User> userList =userMapper.selectList(queryWrapper);
userList.forEach(System.out::println);
}
◆其他以條件構造器為參數的查詢方法
@Test
public void selectByWrapperMaps() {
QueryWrapper<User> queryWrapper = new QueryWrapper<User>();
queryWrapper.select("id","name").like("name","雨").lt("age",40);
List<Map<String, Object>> maps = userMapper.selectMaps(queryWrapper);
maps.forEach(System.out::println);
}
selectMaps:
/*
按照直屬上級分組,查詢每組的平均年齡、最大年齡、最小年齡。
並且只取年齡總和小於500的組。
select avg(age) avg_age,min(age) min_age,max(age) max_age
from user
group by manager_id
having sum(age) <500
*/
@Test
public void selectByWrapperMaps2() {
QueryWrapper<User> queryWrapper = new QueryWrapper<User>();
queryWrapper.select("avg(age) avg_age","min(age) min_age","max(age) max_age")
.groupBy("manager_id").having("sum(age)<{0}",500);
List<Map<String, Object>> maps = userMapper.selectMaps(queryWrapper);
maps.forEach(System.out::println);
}
selectObjs:
@Test
public void selectByWrapperObjs() {
QueryWrapper<User> queryWrapper = new QueryWrapper<User>();
queryWrapper.select("id","name").like("name","雨").lt("age",40);
List<Object> userList = userMapper.selectObjs(queryWrapper);
userList.forEach(System.out::println);
}
selectCount :
@Test
public void setUserMapperCount() {
QueryWrapper<User> queryWrapper = new QueryWrapper<User>();
queryWrapper.like("name","雨").lt("age",40);
int count = userMapper.selectCount(queryWrapper);
System.out.println(count);
}
◆Lambda條件構造器
創建lambda條件構造器有兩種方法
第一種:
LambdaQueryWrapper<User> lambda = new QueryWrapper<User>().lambda();
第二種:直接new 一個lambda條件構造器
LambdaQueryWrapper<User> userLambdaQueryWrapper = new LambdaQueryWrapper<>();
第三種:
LambdaQueryWrapper<User> LambdaQuery = Wrappers.<User>lambdaQuery();
@Test
public void selectLambda() {
// LambdaQueryWrapper<User> lambda = new QueryWrapper<User>().lambda();
// LambdaQueryWrapper<User> userLambdaQueryWrapper = new LambdaQueryWrapper<>();
LambdaQueryWrapper<User> lambdaQuery = Wrappers.<User>lambdaQuery();
lambdaQuery.like(User::getName,"雨").lt(User::getAge,40);
//where name like '%雨%' and age <40
List<User> userList = userMapper.selectList(lambdaQuery);
userList.forEach(System.out::println);
}
◆使用條件構造器的自定義SQL
(要求版本大於等於3.0.7)
在UserMapper中定於接口方法(采用注解的方式)
@Select("select * from user ${ew.customSqlSegment}")
List<User> selectAll(@Param(Constants.WRAPPER)Wrapper<User> wrapper);
在測試中使用自定義方法:
@Test
public void selectMy() {
// LambdaQueryWrapper<User> lambda = new QueryWrapper<User>().lambda();
// LambdaQueryWrapper<User> userLambdaQueryWrapper = new LambdaQueryWrapper<>();
LambdaQueryWrapper<User> lambdaQuery = Wrappers.<User>lambdaQuery();
lambdaQuery.like(User::getName,"雨").lt(User::getAge,40);
//where name like '%雨%'
List<User> userList = userMapper.selectAll(lambdaQuery);//此處使用自定義接口方法
userList.forEach(System.out::println);
}
如果不想把自定義sql寫在接口中,例如寫在xml中,還可以采用如下方法:
第一步:在yml配置文件中配置接口對應的xml路徑
Mybatis-plus:
mapper-locations: classpath:mp/mapper/*.xml
在配置路徑下新建UserMapper.xml文件,同時去除接口中的注解sql
<?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.neo.mapper.UserMapper" >
<select id="selectAll" resultType="com.neo.model.User">
select * from user ${ew.customSqlSegment}
</select>
</mapper>
◆MyBatis分頁介紹
mybatis中提供分頁方法,但是該分頁是邏輯分頁,而非物理分頁。
◆MP分頁插件實現物理分頁
新建配置包(com.neo.configuration)並新建配置分頁類MybatisPlusConfig:
@Configuration
public class MybatisPlusConfig {
@Bean
public PaginationInterceptor paginationInterceptor() {
return new PaginationInterceptor();
}
}
測試(selectPage):
@Test
public void selectPage() {
QueryWrapper<User> queryWrapper = new QueryWrapper<User>();
queryWrapper.ge("age", 26);
Page<User> page = new Page<>(1, 2);
IPage<User> iPage = userMapper.selectPage(page, queryWrapper);
System.out.println("總頁數:" + iPage.getPages());
System.out.println("總記錄數:" + iPage.getTotal());
List<User> userlist = iPage.getRecords();
userlist.forEach(System.out::println);
}
運行日志:
DEBUG==> Preparing: SELECT COUNT(1) FROM user WHERE age >= ?
DEBUG==> Parameters: 26(Integer)
TRACE<== Columns: COUNT(1)
TRACE<== Row: 7
DEBUG==> Preparing: SELECT id,name,age,email,manager_id,create_time FROM user WHERE age >= ? LIMIT ?,?
DEBUG==> Parameters: 26(Integer), 0(Long), 2(Long)
TRACE<== Columns: id, name, age, email, manager_id, create_time
TRACE<== Row: 1087982257332887553, 大boss, 40, boss@baomidou.com, null, 2019-01-11 14:20:20
TRACE<== Row: 1088250446457389058, 李藝偉, 28, lyw@baomidou.com, 1088248166370832385, 2019-02-14 08:31:16
DEBUG<== Total: 2
總頁數:4
總記錄數:7
User(id=1087982257332887553, name=大boss, age=40, email=boss@baomidou.com, managerId=null, createTime=2019-01-11T14:20:20)
User(id=1088250446457389058, name=李藝偉, age=28, email=lyw@baomidou.com, managerId=1088248166370832385, createTime=2019-02-14T08:31:16)
測試(selectMapsPage):
@Test
public void selectPage() {
QueryWrapper<User> queryWrapper = new QueryWrapper<User>();
// queryWrapper.ge("age",26);
Page<User> page = new Page<>(1, 2);
// IPage<User> iPage = userMapper.selectPage(page, queryWrapper);
// System.out.println("總頁數:"+ iPage.getPages());
// System.out.println("總記錄數:"+ iPage.getTotal());
// List<User> userlist = iPage.getRecords();
IPage<Map<String, Object>> iPage = userMapper.selectMapsPage(page, queryWrapper);
System.out.println("總頁數:"+ iPage.getPages());
System.out.println("總記錄數:"+ iPage.getTotal());
List<Map<String, Object>> userlist = iPage.getRecords();
userlist.forEach(System.out::println);
}
DEBUG==> Preparing: SELECT COUNT(1) FROM user
DEBUG==> Parameters:
TRACE<== Columns: COUNT(1)
TRACE<== Row: 13
DEBUG==> Preparing: SELECT id,name,age,email,manager_id,create_time FROM user LIMIT ?,?
DEBUG==> Parameters: 0(Long), 2(Long)
TRACE<== Columns: id, name, age, email, manager_id, create_time
TRACE<== Row: 1087982257332887553, 大boss, 40, boss@baomidou.com, null, 2019-01-11 14:20:20
TRACE<== Row: 1088248166370832385, 王天風, 25, wtf@baomidou.com, 1087982257332887553, 2019-02-05 11:12:22
DEBUG<== Total: 2
總頁數:7
總記錄數:13
{createTime=2019-01-11 14:20:20.0, name=大boss, id=1087982257332887553, age=40, email=boss@baomidou.com}
{createTime=2019-02-05 11:12:22.0, name=王天風, id=1088248166370832385, managerId=1087982257332887553, age=25, email=wtf@baomidou.com}
從以上兩個例子看以看出每個是執行了兩條sql語句,如果只想要查詢結果,不想要查詢總數,只需要將page的第三個參數變為false,即可:
Page<User> page = new Page<>(1, 2,false);
當我們在做多表聯查時,就不能使用如上方式查詢了,此時可以在xml文件中自定義sql:
更新(Update)
◆根據id更新
@Test
public void updateById(){
User user= new User();
user.setId(1088248166370832385L);
user.setAge(26);
user.setEmail("wtf2@baomidou.com");
int rows = userMapper.updateById(user);
System.out.println("影響記錄數:"+ rows);
}
運行日志:
DEBUG==> Preparing: UPDATE user SET age=?, email=? WHERE id=?
DEBUG==> Parameters: 26(Integer), wtf2@baomidou.com(String), 1088248166370832385(Long)
DEBUG<== Updates: 1
影響記錄數:1
◆以條件構造器作為參數的更新方法
@Test
public void updateByWrapper(){
UpdateWrapper<User> updateWrapper = new UpdateWrapper<>();
updateWrapper.eq("name","李藝偉").eq("age",28);
User user = new User();
user.setEmail("lyw2020@baomidou.com");
user.setAge(29);
int rows = userMapper.update(user, updateWrapper);
System.out.println("影響行數:"+rows
);
}
運行日志:
DEBUG==> Preparing: UPDATE user SET age=?, email=? WHERE name = ? AND age = ?
DEBUG==> Parameters: 29(Integer), lyw2020@baomidou.com(String), 李藝偉(String), 28(Integer)
DEBUG<== Updates: 1
影響行數:1
◆條件構造器中set方法使用
(只修改少量字段時):
@Test
public void updateByWrapper(){
UpdateWrapper<User> updateWrapper = new UpdateWrapper<>();
//通過條件構造器的鏈式編程設置更新信息
updateWrapper.eq("name","李藝偉").eq("age",29).set("email","liw888@qq.com");
// User user = new User();
int rows = userMapper.update(null, updateWrapper);
System.out.println("影響行數:"+rows
);
}
lambda條件構造器更新:
@Test
public void updateByWrapperLambda(){
LambdaUpdateWrapper<User> lambdaUpdate = Wrappers.<User>lambdaUpdate();
lambdaUpdate.eq(User::getName,"李藝偉").eq(User::getAge,29).set(User::getAge,31);
int rows = userMapper.update(null, lambdaUpdate);
System.out.println("影響行數:"+rows);
}
刪除(Delete)
◆根據id刪除的方法
@Test
public void deleteById() {
int rows= userMapper.deleteById(1223976086888599553L);
System.out.println("影響行數:"+rows);
}
根據id批量刪除:
@Test
public void deleteBatchIds() {
int rows = userMapper.deleteBatchIds(
Arrays.asList(1223973741031141377L,
1223972327026405378L,1223970002606067714L));
System.out.println("影響行數:"+rows);
}
◆其他普通刪除方法
@Test
public void deleteByMap() {
Map<String,Object> columnMap= new HashMap<>();
columnMap.put("name","向后");
columnMap.put("age","31");
int rows = userMapper.deleteByMap(columnMap);
System.out.println("影響行數:"+rows);
}
◆以條件構造器為參數的刪除方法
ActiveRecord模式
AR探索
◆AR模式簡介
◆MP中AR模式的實現