一、MyBatisPlus概述
学习MyBatis-Plus之前要先学MyBatis–>Spring—>SpringMVC
为什么要学它?MyBatisPlus可以节省我们大量的时间,所有CRUD代码都可以自动完成
JPA, tk-mapper ,MyBatisPlus(都是用来自动生成CRUD代码的)
偷懒用的!
1.1简介
是什么? MyBatis本来就是简化JDBC操作的!
官网:https://baomidou.com/ MyBatisPlus 简化MyBatis!
MyBatis-Plus
(简称 MP)是一个 MyBatis
的增强工具,在 MyBatis
的基础上只做增强不做改变,为简化开发、提高效率而生。
1.2特性
- 无侵入:只做增强不做改变,引入它不会对现有工程产生影响,如丝般顺滑
- 损耗小:启动即会自动注入基本 CURD,性能基本无损耗,直接面向对象操作
- 强大的 CRUD 操作:内置通用 Mapper、通用 Service,仅仅通过少量配置即可实现单表大部分 CRUD 操作,更有强大的条件构造器,满足各类使用需求(简单的CRUD不用自己编写)
- 支持 Lambda 形式调用:通过 Lambda 表达式,方便的编写各类查询条件,无需再担心字段写错
- 支持主键自动生成:支持多达 4 种主键策略(内含分布式唯一 ID 生成器 - Sequence),可自由配置,完美解决主键问题
- 支持 ActiveRecord 模式:支持 ActiveRecord 形式调用,实体类只需继承 Model 类即可进行强大的 CRUD 操作
- 支持自定义全局通用操作:支持全局通用方法注入( Write once, use anywhere )
- 内置代码生成器:采用代码或者 Maven 插件可快速生成 Mapper 、 Model 、 Service 、 Controller 层代码,支持模板引擎,更有超多自定义配置等您来使用(自动帮我们生成代码)
- 内置分页插件:基于 MyBatis 物理分页,开发者无需关心具体操作,配置好插件之后,写分页等同于普通 List 查询
- 分页插件支持多种数据库:支持 MySQL、MariaDB、Oracle、DB2、H2、HSQL、SQLite、Postgre、SQLServer 等多种数据库
- 内置性能分析插件:可输出 Sql 语句以及其执行时间,建议开发测试时启用该功能,能快速揪出慢查询
- 内置全局拦截插件:提供全表 delete 、 update 操作智能分析阻断,也可自定义拦截规则,预防误操作
二、快速入门
地址:https://baomidou.com/guide/quick-start.html#%E5%88%9D%E5%A7%8B%E5%8C%96%E5%B7%A5%E7%A8%8B
使用第三方插件步骤:
- 导入对应的依赖
- 研究依赖如何配置
- 代码如何编写
- 提高扩展技术能力
2.1步骤
1.创建数据库 mybatis_plus
2.创建数据库
创建表
DROP TABLE IF EXISTS user;
CREATE TABLE user
(
id BIGINT(20) NOT NULL COMMENT '主键ID',
name VARCHAR(30) NULL DEFAULT NULL COMMENT '姓名',
age INT(11) NULL DEFAULT NULL COMMENT '年龄',
email VARCHAR(50) NULL DEFAULT NULL COMMENT '邮箱',
PRIMARY KEY (id)
);
INSERT INTO user (id, name, age, email) VALUES
(1, 'Jone', 18, 'test1@baomidou.com'),
(2, 'Jack', 20, 'test2@baomidou.com'),
(3, 'Tom', 28, 'test3@baomidou.com'),
(4, 'Sandy', 21, 'test4@baomidou.com'),
(5, 'Billie', 24, 'test5@baomidou.com');
3.编写项目,初始化项目! 使用SpringBoot初始化!
4.导入依赖
<!--mysql驱动-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<!--lombok-->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<!--mybatis-plus 是自己开发,并非官方的-->
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>3.0.5</version>
</dependency>
说明:我们使用mybatis-plus 可以节省我们大量的代码,尽量不要同时导入mybatis和mybatis-plus因为版本有差异!
5.连接数据库!这一步和mybatis相同!
# mysql 5 驱动不同 com.mysql.jdbc.Driver
# mysql 8 驱动不同 com.mysql.cj.jdbc.Driver . 需要增加时区的配置 serverTimezone=GMT%2B8
spring.datasource.username=root
spring.datasource.password=12345678
spring.datasource.url=jdbc:mysql://localhost:3306/mybatis_plus?useSSL=false&useUnicode=true&characterEncoding=utf-8&serverTimezone=GMT%2B8
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
6.传统的方式pojo-dao(连接mybatis,配置mapper.xml文件)-service-controller
6.使用了mybatis-plus之后
-
pojo
package com.wlw.pojo; import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; @Data @AllArgsConstructor @NoArgsConstructor public class User { private Long id; private String name; private int age; private String email; }
-
mapper接口
package com.wlw.mapper; import com.baomidou.mybatisplus.core.mapper.BaseMapper; import com.wlw.pojo.User; import org.springframework.stereotype.Repository; //在对应的mapper 上面继承 基本的类BaseMapper<T> ,这个类是由mybatisplus提供的 @Repository //代表持久层 public interface UserMapper extends BaseMapper<User> { //所有CRUD操作都已经编写完成了,因为BaseMapper<T>中已经写好了,需要操作那个对象,传入对应的实体类就好(范型) //你不需要向以前一样配置一大堆文件了! }
注意点:需要在主启动类
MybatisPlusApplication
上扫描我们Mapper包下的所有接口@MapperScan("com.codeyuaiiao.mapper")
package com.wlw; import org.mybatis.spring.annotation.MapperScan; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @MapperScan("com.wlw.mapper")//扫描mapper文件夹 @SpringBootApplication public class MybatisPlusApplication { public static void main(String[] args) { SpringApplication.run(MybatisPlusApplication.class, args); } }
-
测试类中测试
package com.wlw; import com.wlw.mapper.UserMapper; import com.wlw.pojo.User; import org.junit.jupiter.api.Test; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import java.util.List; @SpringBootTest class MybatisPlusApplicationTests { //继承了BaseMapper, 所有的方法都来自父类(即继承了BaseMapper),我们也可以编写自己的扩展方法 @Autowired private UserMapper userMapper; @Test void contextLoads() { //参数是一个Wrapper , 条件构造器,这里我们先不用 --null //查询全部用户 List<User> users = userMapper.selectList(null); users.forEach(System.out::println); } }
2.2 思考问题
- sql谁帮我们写的? —mybatis-plus
- 方法谁帮我们写的? —mybatis-pluss
三、配置日志
我们所有的sql是不可见的,我们希望知道他是怎么执行的,所以我们必须看日志!
在application.properties配置文件中配置就好
#日志配置
#可选的有很多,要导入对应依赖就好,这里选择控制台输出
mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl
配置好,再测试,看输出结果:
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@5d342959] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1623287356 wrapping com.mysql.cj.jdbc.ConnectionImpl@f5cf29b] will not be managed by Spring
==> Preparing: SELECT id,name,age,email FROM user
==> Parameters:
<== Columns: id, name, age, email
<== Row: 1, Jone, 18, test1@baomidou.com
<== Row: 2, Jack, 20, test2@baomidou.com
<== Row: 3, Tom, 28, test3@baomidou.com
<== Row: 4, Sandy, 21, test4@baomidou.com
<== Row: 5, Billie, 24, test5@baomidou.com
<== Total: 5
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@5d342959]
User(id=1, name=Jone, age=18, email=test1@baomidou.com)
User(id=2, name=Jack, age=20, email=test2@baomidou.com)
User(id=3, name=Tom, age=28, email=test3@baomidou.com)
User(id=4, name=Sandy, age=21, email=test4@baomidou.com)
User(id=5, name=Billie, age=24, email=test5@baomidou.com)
配置完毕日志之后,之后的使用过程中就需要注意这个自动生成的SQL!
四、CRUD扩展
4.1 INSERT 插入测试
package com.wlw;
import com.wlw.mapper.UserMapper;
import com.wlw.pojo.User;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import java.util.List;
@SpringBootTest
class MybatisPlusApplicationTests {
//继承了BaseMapper, 所有的方法都来自父类(即继承了BaseMapper),我们也可以编写自己的扩展方法
@Autowired
private UserMapper userMapper;
@Test
public void testInsert(){
User user = new User();
//注意 并没设置id
user.setName("wlw");
user.setAge(3);
user.setEmail("1903202403@qq.com");
int reslut = userMapper.insert(user);//看结果输出会发现它会自动生成id
System.out.println(reslut);//受影响行数
System.out.println(user);//看user的属性值,发现id会自动回填
}
}
输出日志:(注意看user 的id值)
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@124d02b2] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1942211849 wrapping com.mysql.cj.jdbc.ConnectionImpl@4a8a0099] will not be managed by Spring
==> Preparing: INSERT INTO user ( id, name, age, email ) VALUES ( ?, ?, ?, ? )
==> Parameters: 1413764856826785794(Long), wlw(String), 3(Integer), 1903202403@qq.com(String)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@124d02b2]
1
User(id=1413764856826785794, name=wlw, age=3, email=1903202403@qq.com)
数据库插入的id默认值是为:全局唯一id (这就涉及到主键生成策略)
4.1.1主键生成策略
生成策略可分为:uuid,自增,雪花算法,redis生成,zookeeper生成等(可看一些资料:(分布式系统唯一ID生成方案汇总)https://www.cnblogs.com/haoxinyue/p/5208136.html)
而上面的插入测试中逐渐的生成策略是雪花算法。
雪花算法:snowflake是Twitter开源的分布式ID生成算法,结果是一个long型的ID。其核心思想是:使用41bit作为毫秒数,10bit作为机器的ID(5个bit是数据中心,5个bit的机器ID),12bit作为毫秒内的流水号(意味着每个节点在每毫秒可以产生 4096 个 ID),最后还有一个符号位,永远是0。具体实现的代码可以参看https://github.com/twitter
4.1.1.1设置主键自增
主键自增:
我们需要配置主键自增,步骤:
1.在实体类字段上增加@TableId(type = IdType.AUTO)
public class User {
//对应数据库中的主键(uuid、自增id、雪花算法、redis、 zookeeper! )
@TableId(type = IdType.AUTO)
private Long id;
private String name;
private int age;
private String email;
}
看一下IdType的源码:
package com.baomidou.mybatisplus.annotation;
public enum IdType {
AUTO(0), //数据库ID自增
NONE(1), //该类型为未设置主键类型
INPUT(2), //用户输入ID,(必须要手动输入id,不然为null)该类型可以通过自己注册自动填充插件进行填充
//以下3种类型、只有当插入对象ID 为空,才自动填充。
ID_WORKER(3),//mybatisplus 默认的全局唯一ID (idWorker)
UUID(4),//全局唯一ID (UUID)
ID_WORKER_STR(5);//字符串全局唯一ID (idWorker 的字符串表示)
private int key;
private IdType(int key) {
this.key = key;
}
public int getKey() {
return this.key;
}
}
2.数据库字段一定要设置为自增(Auto Increment)!
3.再次执行4.1节中的插入测试,会发现id自增+1了。
输出结果日志:
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@53e76c11] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@166022233 wrapping com.mysql.cj.jdbc.ConnectionImpl@5dbb50f3] will not be managed by Spring
==> Preparing: INSERT INTO user ( name, age, email ) VALUES ( ?, ?, ? )
==> Parameters: wlw(String), 3(Integer), 1903202403@qq.com(String)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@53e76c11]
1
User(id=1413764856826785795, name=wlw, age=3, email=1903202403@qq.com)
4.2UPDATE更新测试
@SpringBootTest
class MybatisPlusApplicationTests {
//更新测试
@Test
public void testUpdate(){
User user = new User();
// 通过条件自动拼接动态sql(很强大)
//从数据库中拿到的id
user.setId(5L);
user.setName("wlw1");
user.setAge(18);
//注意:updateById()方法的参数是一个对象。
int i = userMapper.updateById(user);
System.out.println(i);
}
}
输出结果日志:
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@3e4e8fdf] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1250558105 wrapping com.mysql.cj.jdbc.ConnectionImpl@7c1447b5] will not be managed by Spring
==> Preparing: UPDATE user SET name=?, age=? WHERE id=?
==> Parameters: wlw1(String), 18(Integer), 5(Long)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@3e4e8fdf]
1
所有的sql都是自动帮我们动态配置的!
4.2.1自动填充
创建时间,修改时间! 这些个操作都是自动化完成的,不要手动更新!
阿里巴巴开发手册:所有的数据库表:gmt_create .gmt_modified几乎所有的表都要配置上!而且需要自动化!
4.2.1.1 方式一 数据库级别
1.在表中新增字段 create_time (默认是为当前时间:CURRENT_TIMESTAMP), update_time(勾选自动更新)
2.再次测试插入方法,我们需要先把实体类同步
private Date createTime;
private Date updateTime;
3.再次更新查看结果即可
4.2.1.2 方式二代码级别
1.删除数据库默认值、更新操作(上一步操作的)
2.实体类字段属性上添加注解
//字段添加填充内容
@TableField(fill = FieldFill.INSERT)
private Date createTime;
@TableField(fill = FieldFill.INSERT_UPDATE)
private Date updateTime;
3.编写处理器来处理这个注解
package com.wlw.handler;
import com.baomidou.mybatisplus.core.handlers.MetaObjectHandler;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.reflection.MetaObject;
import org.springframework.stereotype.Component;
import java.util.Date;
@Slf4j
@Component //声明bean,把处理器加到IOC容器中
public class MyMetaObjectHandler implements MetaObjectHandler {
// 插入时的填充策略
@Override
public void insertFill(MetaObject metaObject) {
log.info("Start insert fill.... ");
this.setFieldValByName("createTime",new Date(),metaObject);
this.setFieldValByName("updateTime",new Date(),metaObject);
}
// 更新时的填充策略
@Override
public void updateFill(MetaObject metaObject) {
log.info("Start update fill.... ");
this.setFieldValByName("updateTime",new Date(),metaObject);
}
}
4.测试插入
5测试更新,观察时间即可!
4.2.2乐观锁
乐观锁: 顾名思义十分乐观,他总是认为不会出现问题,无论干什么都不去上锁!如果出现了问题,再次更新值测试
悲观锁;顾名思义十分悲观,他总是认为出现问题,无论干什么都会上锁!再去操作!
乐观锁实现方式:
- 取出记录时,获取当前version
- 更新时,带上这个version
- 执行更新时,set version = newVersion where version = oldVersion
- 如果version不对,就更新失败
乐观锁:第一步,先查询,获得版本号 version = 1
--A线程
update user set name = "wlwnew",version = version + 1
where id = 2 and version = 1
--B线程 抢先执行,这个时候version = 2,会导致A线程修改失败
update user set name = "wlwnew",version = version + 1
where id = 2 and version = 1
测试一下MyBatisPlus乐观锁插件:
1.给数据库增加version字段,默认值是为1
2.实体类加对应字段
@Version //乐观锁注解
private Integer version;
3.注册组件
package com.wlw.config;
import com.baomidou.mybatisplus.extension.plugins.OptimisticLockerInterceptor;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
//@MapperScan("按需修改")
@Configuration //配置类
public class MyBatisPlusConfig {
//注册乐观锁插件
@Bean
public OptimisticLockerInterceptor optimisticLockerInterceptor() {
return new OptimisticLockerInterceptor();
}
}
4.测试一下
//测试乐观锁成功
@Test
public void testOptimisticLocker1(){
//1.查询用户
User user = userMapper.selectById(1L);
//2.修改用户信息
user.setName("wlw-version");
user.setEmail("11111000@qq.com");
//3.执行更新
userMapper.updateById(user);
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@49a6f486] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1244560331 wrapping com.mysql.cj.jdbc.ConnectionImpl@575c3e9b] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,create_time,update_time FROM user WHERE id=?
==> Parameters: 1(Long)
<== Columns: id, name, age, email, version, create_time, update_time
<== Row: 1, Jone, 18, test1@baomidou.com, 1, 2021-07-10 17:34:37, null
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@49a6f486]
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@273a5a8a] was not registered for synchronization because synchronization is not active
2021-07-10 18:48:36.257 INFO 36141 --- [ main] com.wlw.handler.MyMetaObjectHandler : Start update fill....
JDBC Connection [HikariProxyConnection@298862004 wrapping com.mysql.cj.jdbc.ConnectionImpl@575c3e9b] will not be managed by Spring
==> Preparing: UPDATE user SET name=?, age=?, email=?, version=?, create_time=?, update_time=? WHERE id=? AND version=?
==> Parameters: wlw-version(String), 18(Integer), 11111000@qq.com(String), 2(Integer), 2021-07-10 17:34:37.0(Timestamp), 2021-07-10 18:48:36.257(Timestamp), 1(Long), 1(Integer)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@273a5a8a]
//测试乐观锁失败
@Test
public void testOptimisticLocker2(){
//线程1
User user = userMapper.selectById(1L);
user.setName("wlw-version11");
user.setEmail("11111000@qq.com");
//模仿线程2执行插队操作
User user2 = userMapper.selectById(1L);
user2.setName("wlw-version22");
user2.setEmail("11111000@qq.com");
userMapper.updateById(user2);//线程2更新
//3.执行更新 线程1
//如果没有乐观锁就会覆盖线程2 的值
userMapper.updateById(user);
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@19a20bb2] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1555928242 wrapping com.mysql.cj.jdbc.ConnectionImpl@6824b913] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,create_time,update_time FROM user WHERE id=?
==> Parameters: 1(Long)
<== Columns: id, name, age, email, version, create_time, update_time
<== Row: 1, wlw-version, 18, 11111000@qq.com, 2, 2021-07-10 17:34:37, 2021-07-10 18:48:36
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@19a20bb2]
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@630390b9] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1720760826 wrapping com.mysql.cj.jdbc.ConnectionImpl@6824b913] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,create_time,update_time FROM user WHERE id=?
==> Parameters: 1(Long)
<== Columns: id, name, age, email, version, create_time, update_time
<== Row: 1, wlw-version, 18, 11111000@qq.com, 2, 2021-07-10 17:34:37, 2021-07-10 18:48:36
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@630390b9]
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@45adc393] was not registered for synchronization because synchronization is not active
2021-07-10 18:54:12.467 INFO 36209 --- [ main] com.wlw.handler.MyMetaObjectHandler : Start update fill....
JDBC Connection [HikariProxyConnection@1387556178 wrapping com.mysql.cj.jdbc.ConnectionImpl@6824b913] will not be managed by Spring
==> Preparing: UPDATE user SET name=?, age=?, email=?, version=?, create_time=?, update_time=? WHERE id=? AND version=?
==> Parameters: wlw-version22(String), 18(Integer), 11111000@qq.com(String), 3(Integer), 2021-07-10 17:34:37.0(Timestamp), 2021-07-10 18:54:12.467(Timestamp), 1(Long), 2(Integer)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@45adc393]
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@58fbd02e] was not registered for synchronization because synchronization is not active
2021-07-10 18:54:12.478 INFO 36209 --- [ main] com.wlw.handler.MyMetaObjectHandler : Start update fill....
JDBC Connection [HikariProxyConnection@372261610 wrapping com.mysql.cj.jdbc.ConnectionImpl@6824b913] will not be managed by Spring
==> Preparing: UPDATE user SET name=?, age=?, email=?, version=?, create_time=?, update_time=? WHERE id=? AND version=?
==> Parameters: wlw-version11(String), 18(Integer), 11111000@qq.com(String), 3(Integer), 2021-07-10 17:34:37.0(Timestamp), 2021-07-10 18:54:12.478(Timestamp), 1(Long), 2(Integer)
<== Updates: 0
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@58fbd02e]
4.3 SELECT查询测试
//查询测试
@Test
public void testSelect(){
User user = userMapper.selectById(1L);
System.out.println(user);
}
输出结果日志:
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@49a6f486] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1244560331 wrapping com.mysql.cj.jdbc.ConnectionImpl@575c3e9b] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,create_time,update_time FROM user WHERE id=?
==> Parameters: 1(Long)
<== Columns: id, name, age, email, version, create_time, update_time
<== Row: 1, wlw-version22, 18, 11111000@qq.com, 3, 2021-07-10 17:34:37, 2021-07-10 18:54:12
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@49a6f486]
User(id=1, name=wlw-version22, age=18, email=11111000@qq.com, version=3, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=Sat Jul 10 18:54:12 CST 2021)
//批量查询测试
@Test
public void testSelect1(){
List<User> users = userMapper.selectBatchIds(Arrays.asList(1, 2, 3));
users.forEach(System.out::println);
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@40fa8766] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@752148842 wrapping com.mysql.cj.jdbc.ConnectionImpl@42505474] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,create_time,update_time FROM user WHERE id IN ( ? , ? , ? )
==> Parameters: 1(Integer), 2(Integer), 3(Integer)
<== Columns: id, name, age, email, version, create_time, update_time
<== Row: 1, wlw-version22, 18, 11111000@qq.com, 3, 2021-07-10 17:34:37, 2021-07-10 18:54:12
<== Row: 2, Jack, 20, test2@baomidou.com, 1, 2021-07-10 17:34:37, null
<== Row: 3, Tom, 28, test3@baomidou.com, 1, 2021-07-10 17:34:37, null
<== Total: 3
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@40fa8766]
User(id=1, name=wlw-version22, age=18, email=11111000@qq.com, version=3, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=Sat Jul 10 18:54:12 CST 2021)
User(id=2, name=Jack, age=20, email=test2@baomidou.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=3, name=Tom, age=28, email=test3@baomidou.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
//条件查询测试 使用Map操作
@Test
public void testSelectBatchIds(){
HashMap<String, Object> map = new HashMap<>();
map.put("name","wlw");
//map.put("age",18);
List<User> users = userMapper.selectByMap(map);
users.forEach(System.out::println);
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@69cd1085] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@188647125 wrapping com.mysql.cj.jdbc.ConnectionImpl@72b43104] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,create_time,update_time FROM user WHERE name = ?
==> Parameters: wlw(String)
<== Columns: id, name, age, email, version, create_time, update_time
<== Row: 5, wlw, 19, test5@baomidou.com, 1, 2021-07-10 17:34:37, 2021-07-10 17:41:57
<== Row: 1413764856826785794, wlw, 18, 1903202403@qq.com, 1, 2021-07-10 17:34:37, null
<== Row: 1413764856826785795, wlw, 3, 1903202403@qq.com, 1, 2021-07-10 17:34:37, null
<== Total: 3
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@69cd1085]
User(id=5, name=wlw, age=19, email=test5@baomidou.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=Sat Jul 10 17:41:57 CST 2021)
User(id=1413764856826785794, name=wlw, age=18, email=1903202403@qq.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=1413764856826785795, name=wlw, age=3, email=1903202403@qq.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
4.3.1分页查询
分页在网站使用的十分之多!
1、原始的limit进行分页
2、pageHelper 第三方插件
3、MyBatisPlus其实也内置了分页插件!
使用步骤:
1.配置分页插件!
package com.wlw.config;
import com.baomidou.mybatisplus.extension.plugins.OptimisticLockerInterceptor;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
//@MapperScan("按需修改")
@Configuration //配置类
public class MyBatisPlusConfig {
//分页插件
@Bean
public PaginationInterceptor paginationInterceptor() {
PaginationInterceptor paginationInterceptor = new PaginationInterceptor();
//设置请求的页面大于最大页后操作,true 调回到首页,false继续请求,默认false
// paginationInterceptor.setoverflow(false);
//设置最大单页限制数量,默认500条,-1不受限制
// paginationInterceptor. setLimit(500);
//开启count的join优化,只针对部分left join
return paginationInterceptor;
}
}
2.直接使用Page对象即可!(测试)
//测试分页查询
@Test
public void testPage(){
//参数一:当前页
//参数二:页面大小
//使用了分页插件之后,所有的分页操作也变得简单了!
Page<User> page = new Page<>(1, 5);
userMapper.selectPage(page, null);
page.getRecords().forEach(System.out::println);
System.out.println(page.getTotal());
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@5eea5627] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@2063581529 wrapping com.mysql.cj.jdbc.ConnectionImpl@1682c08c] will not be managed by Spring
JsqlParserCountOptimize sql=SELECT id,name,age,email,version,create_time,update_time FROM user
==> Preparing: SELECT COUNT(1) FROM user
==> Parameters:
<== Columns: COUNT(1)
<== Row: 8
==> Preparing: SELECT id,name,age,email,version,create_time,update_time FROM user LIMIT 0,5
==> Parameters:
<== Columns: id, name, age, email, version, create_time, update_time
<== Row: 1, wlw-version22, 18, 11111000@qq.com, 3, 2021-07-10 17:34:37, 2021-07-10 18:54:12
<== Row: 2, Jack, 20, test2@baomidou.com, 1, 2021-07-10 17:34:37, null
<== Row: 3, Tom, 28, test3@baomidou.com, 1, 2021-07-10 17:34:37, null
<== Row: 4, Sandy, 21, test4@baomidou.com, 1, 2021-07-10 17:34:37, null
<== Row: 5, wlw, 19, test5@baomidou.com, 1, 2021-07-10 17:34:37, 2021-07-10 17:41:57
<== Total: 5
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@5eea5627]
User(id=1, name=wlw-version22, age=18, email=11111000@qq.com, version=3, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=Sat Jul 10 18:54:12 CST 2021)
User(id=2, name=Jack, age=20, email=test2@baomidou.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=3, name=Tom, age=28, email=test3@baomidou.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=4, name=Sandy, age=21, email=test4@baomidou.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=5, name=wlw, age=19, email=test5@baomidou.com, version=1, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=Sat Jul 10 17:41:57 CST 2021)
8
4.4DELETE删除测试
//测试删除
@Test
public void testDeleteById(){
userMapper.deleteById(1413764856826785796L);
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@d535a3d] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1846435308 wrapping com.mysql.cj.jdbc.ConnectionImpl@48a663e9] will not be managed by Spring
==> Preparing: DELETE FROM user WHERE id=?
==> Parameters: 1413764856826785796(Long)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@d535a3d]
//通过id批量删除
@Test
public void testDeleteBatchId(){
userMapper.deleteBatchIds(Arrays.asList(5,6,7));
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@5dbb50f3] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@855206842 wrapping com.mysql.cj.jdbc.ConnectionImpl@611640f0] will not be managed by Spring
==> Preparing: DELETE FROM user WHERE id IN ( ? , ? , ? )
==> Parameters: 5(Integer), 6(Integer), 7(Integer)
<== Updates: 3
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@5dbb50f3]
//通过map 条件删除
@Test
public void testDeleteMap(){
HashMap<String, Object> map = new HashMap<>();
map.put("name", "wlw5");
userMapper.deleteByMap(map);
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@2d760326] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@2098720336 wrapping com.mysql.cj.jdbc.ConnectionImpl@44fdce3c] will not be managed by Spring
==> Preparing: DELETE FROM user WHERE name = ?
==> Parameters: wlw5(String)
<== Updates: 2
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@2d760326]
4.4.1 逻辑删除(很重要)
物理删除:从数据库中直接移除
逻辑删除:在数据库中没有被移除,而是通过一个变量来让他失效!deleted = 0 => deleted = 1
管理员可以查看被删除的记录!防止数据的丢失,类似于回收站!
测试一下:
1.在数据表中增加一个deleted字段,默认为0
2.实体类中增加属性
@TableLogic //逻辑删除
private Integer deleted;
3.配置!
package com.wlw.config;
import com.baomidou.mybatisplus.core.injector.ISqlInjector;
import com.baomidou.mybatisplus.extension.injector.LogicSqlInjector;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
//@MapperScan("按需修改")
@Configuration //配置类
public class MyBatisPlusConfig {
//逻辑删除组件
@Bean
public ISqlInjector sqlInjector(){
return new LogicSqlInjector();
}
}
还要在配置文件中添加配置
#逻辑删除
mybatis-plus.global-config.db-config.logic-not-delete-value=0
mybatis-plus.global-config.db-config.logic-delete-value=1
4.测试一下删除!
//测试删除
@Test
public void testDeleteById(){
userMapper.deleteById(1L);
}
看输出日志:(走的是更新操作,而不是删除操作,看数据库会发现:记录依然在数据库中,但是对应的deleted的值是1)
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@705a8dbc] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1368251707 wrapping com.mysql.cj.jdbc.ConnectionImpl@939ff41] will not be managed by Spring
==> Preparing: UPDATE user SET deleted=1 WHERE id=? AND deleted=0
==> Parameters: 1(Long)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@705a8dbc]
5.现在再去测试一下查询,重点看输出日志:
//查询测试
@Test
public void testSelect(){
User user = userMapper.selectById(1L);
System.out.println(user);
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@24a2e565] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@718130408 wrapping com.mysql.cj.jdbc.ConnectionImpl@7102ac3e] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,deleted,create_time,update_time FROM user WHERE id=? AND deleted=0
==> Parameters: 1(Long)
<== Total: 0
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@24a2e565]
null
看到输出日志中,查询id为1的数据,是查不到的,这是因为添加了一个查询条件:where id=? and deleted=0
查询的时候会自动过滤被逻辑删除的字段。
第四节部分必须要精通掌握。
五、性能分析插件
PerformanceInterceptor在3.2.0被移除了,如果想进行性能分析,用第三方的,官方这样写的“该插件 3.2.0 以上版本移除推荐使用第三方扩展 执行 SQL 分析打印 功能。https://baomidou.com/guide/p6spy.html
在开发中,会遇到一些慢sql。
作用:性能分析拦截器,用于输出每条SQL语句及其执行时间
MybatisPlus也提供了性能分析插件,如果超过这个时间就停止运行。
步骤:
1.导入插件
//在配置类中 MyBatisPlusConfig
// SQL执行效率插件
@Bean
@Profile({"dev","test"})
public PerformanceInterceptor performanceInterceptor(){
PerformanceInterceptor performanceInterceptor = new PerformanceInterceptor();
performanceInterceptor.setMaxTime(100); //ms 设置sql执行的最大时间,如果超过了则不执行
performanceInterceptor.setFormat(true); // 是否格式化
return performanceInterceptor;
}
记住,要在SpringBoot中配置环境为dev或者test环境!
# 开发环境
spring.profiles.active=dev
2.测试使用
// 分页查询
@Test
void selectLimit() {
Page<User> page = new Page<User>(1, 5);
// 获取通过分页查询到的记录条数
page.getRecords().forEach(System.out::println);
// 查询
userMapper.selectPage(page, null);
// 查询总记录条数
System.out.println("总计数条数:" + page.getTotal());
}
只要超出时间就会抛出异常(可用来检测那条sql执行的太慢,然后进行优化)
六、条件构造器
十分重要:Wappper
我们写一些复杂的SQL就可以使用他来替代!
1、测试一(注意看输出的sql,进行分析)
@Test
void contextLoads() {
//查询name不为空的用户,并且邮箱不为空的用户,年龄大于12
QueryWrapper<User> wrapper = new QueryWrapper<>();
wrapper.isNotNull("name")
.isNotNull("email")
.ge("age", 12);
userMapper.selectList(wrapper).forEach(System.out::println); //和我们刚刚学习的map对比一下
}
Creating a new SqlSession
SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@56dd6efa] was not registered for synchronization because synchronization is not active
JDBC Connection [HikariProxyConnection@1724736027 wrapping com.mysql.cj.jdbc.ConnectionImpl@d3f4505] will not be managed by Spring
==> Preparing: SELECT id,name,age,email,version,deleted,create_time,update_time FROM user WHERE deleted=0 AND name IS NOT NULL AND email IS NOT NULL AND age >= ?
==> Parameters: 12(Integer)
<== Columns: id, name, age, email, version, deleted, create_time, update_time
<== Row: 2, Jack, 20, test2@baomidou.com, 1, 0, 2021-07-10 17:34:37, null
<== Row: 3, Tom, 28, test3@baomidou.com, 1, 0, 2021-07-10 17:34:37, null
<== Row: 4, Sandy, 21, test4@baomidou.com, 1, 0, 2021-07-10 17:34:37, null
<== Row: 1413764856826785794, wlw, 18, 1903202403@qq.com, 1, 0, 2021-07-10 17:34:37, null
<== Total: 4
[org.apache.ibatis.session.defaults.DefaultSqlSession@56dd6efa]
User(id=2, name=Jack, age=20, email=test2@baomidou.com, version=1, deleted=0, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=3, name=Tom, age=28, email=test3@baomidou.com, version=1, deleted=0, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=4, name=Sandy, age=21, email=test4@baomidou.com, version=1, deleted=0, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
User(id=1413764856826785794, name=wlw, age=18, email=1903202403@qq.com, version=1, deleted=0, createTime=Sat Jul 10 17:34:37 CST 2021, updateTime=null)
2、测试二
@Test
void test2(){
//查询名字wlw1
QueryWrapper<User> wrapper = new QueryWrapper<>();
wrapper.eq("name", "wlw1");
User user = userMapper.selectOne(wrapper);//查询一个数据,出现多个结果用List或者Map
System.out.println(user);
}
3、测试三
@Test
void test3(){
//查询年龄在19到30岁之间的用户
QueryWrapper<User> wrapper = new QueryWrapper<>();
wrapper.between("age", 19, 30); //区间
Integer count = userMapper.selectCount(wrapper); //查询结果数
System.out.println(count);
}
4、测试四
//模糊查询
@Test
void test4(){
QueryWrapper<User> wrapper = new QueryWrapper<>();
//名字中没有b的 %b% 左和右 t%
wrapper.notLike("name", "b")
.likeRight("email", "t");
List<Map<String, Object>> maps = userMapper.selectMaps(wrapper);
maps.forEach(System.out::println);
}
5、测试五
//连接查询
@Test
void test5(){
QueryWrapper<User> wrapper = new QueryWrapper<>();
//id 在子查询中查出来
wrapper.inSql("id", "select id from user where id < 3");
List<Object> objects = userMapper.selectObjs(wrapper);
objects.forEach(System.out::println);
}
6、测试六
//排序 查询
@Test
void test6(){
QueryWrapper<User> wrapper = new QueryWrapper<>();
//通过id进行排序
wrapper.orderByDesc("id");//降序
List<User> users = userMapper.selectList(wrapper);
users.forEach(System.out::println);
}
6.1、LambdaQueryWrapper
介绍 :
- 上图绿色框为抽象类abstract
- 蓝色框为正常class类,可new对象
- 黄色箭头指向为父子类关系,箭头指向为父类
wapper介绍 :
- Wrapper : 条件构造抽象类,最顶端父类,抽象类中提供4个方法西面贴源码展示
- AbstractWrapper : 用于查询条件封装,生成 sql 的 where 条件
- AbstractLambdaWrapper : Lambda 语法使用 Wrapper统一处理解析 lambda 获取 column。
- LambdaQueryWrapper :看名称也能明白就是用于Lambda语法使用的查询Wrapper
- LambdaUpdateWrapper : Lambda 更新封装Wrapper
- QueryWrapper : Entity 对象封装操作类,不是用lambda语法
- UpdateWrapper : Update 条件封装,用于Entity对象更新操作
1、 QueryWrapper使用方式
QueryWrapper<User> wrapper = new QueryWrapper<User>()
.eq(StringUtils.isNotBlank(user.getNickName()), "nick", user.getNickName())
.eq(user.getId() != null,"id", user.getId());
List<User> userList = userDao.selectList(wrapper);
2、 LambdaQueryWrapper 使用方式
LambdaQueryWrapper<User> wrapper = new LambdaQueryWrapper<User>()
.eq(StringUtils.isNotBlank(user.getNickName()), User::getNickName, user.getNickName())
.eq(user.getId() != null, User::getId, user.getId());
List<User> userList = userDao.selectList(wrapper);
3、 使用区别
- QueryWrapper 的列名匹配使用的是 “数据库中的字段名(一般是下划线规则)”
- LambdaQueryWrapper 的列名匹配使用的是“Lambda的语法,偏向于对象”
4 LambdaQueryWrapper的优势
- 不同写“列名”,而是使用纯java的方式,避免了拼写错误(LambdaQueryWrapper的写法如果有错,则在编译期就会报错,而QueryWrapper需要运行的时候调用该方法才会报错)
七、代码自动生成器
使用文档:https://baomidou.com/guide/generator.html#%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B
dao、pojo、service、controller都给我自己去编写完成!(当然还有数据库连接配置,依赖)
AutoGenerator 是 MyBatis-Plus 的代码生成器,通过 AutoGenerator 可以快速生成 Entity、Mapper、Mapper XML、Service、Controller 等各个模块的代码,极大的提升了开发效率。
测试:
public class Code {
public static void main(String[] args) {
//需要构建一个 代码自动生成器 对象
// 代码生成器
AutoGenerator mpg = new AutoGenerator();
//配置策略
//1、全局配置
GlobalConfig gc = new GlobalConfig();
String projectPath = System.getProperty("user.dir");//获取用户目录
gc.setOutputDir(projectPath + "/src/main/java");//设置输出目录
gc.setAuthor("wlw");//设置作者名
gc.setOpen(false);
gc.setFileOverride(false); //是否覆盖原来生成的
gc.setServiceName("%sService"); //去Service的I前缀
gc.setIdType(IdType.ID_WORKER);//主键生成策略
gc.setDateType(DateType.ONLY_DATE);
gc.setSwagger2(true);
mpg.setGlobalConfig(gc);
//2、设置数据源
DataSourceConfig dsc = new DataSourceConfig();
dsc.setUrl("jdbc:mysql://localhost:3306/mybatis-plus?useSSL=false&useUnicode=true&characterEncoding=utf-8&serverTimezone=GMT%2B8");
dsc.setDriverName("com.mysql.cj.jdbc.Driver");
dsc.setUsername("root");
dsc.setPassword("12345678");
dsc.setDbType(DbType.MYSQL);//数据库类型
mpg.setDataSource(dsc);
//3、包的配置
PackageConfig pc = new PackageConfig();
pc.setModuleName("blog"); //模块名
pc.setParent("com.wlw");//这个包下面
pc.setEntity("pojo");
pc.setMapper("mapper");
pc.setService("service");
pc.setController("controller");
mpg.setPackageInfo(pc);
//4、策略配置
StrategyConfig strategy = new StrategyConfig();
strategy.setInclude("user"); //设置要映射的表名(自己数据库中的表)
strategy.setNaming(NamingStrategy.underline_to_camel);
strategy.setColumnNaming(NamingStrategy.underline_to_camel);
strategy.setEntityLombokModel(true); //自动lombok
strategy.setLogicDeleteFieldName("deleted");//逻辑删除 字段名
//自动填充配置
TableFill createTime = new TableFill("create_time", FieldFill.INSERT);
TableFill updateTime = new TableFill("update_time", FieldFill.UPDATE);
ArrayList<TableFill> tableFills = new ArrayList<>();
tableFills.add(createTime);
tableFills.add(updateTime);
strategy.setTableFillList(tableFills);
//乐观锁
strategy.setVersionFieldName("version");
strategy.setRestControllerStyle(true);
strategy.setControllerMappingHyphenStyle(true); //localhost:8080/hello_id_2
mpg.setStrategy(strategy);
mpg.execute(); //执行代码构造器
}
}