1、根据id查询一条记录
:selectById() @Test
public void selectById(){
tb_user user = userMapper.selectById(1);
System.out.println(user);
}
输出的日志
JDBC Connection [HikariProxyConnection@1108136194 wrapping com.mysql.cj.jdbc.ConnectionImpl@c7f4457] will not be managed by Spring
==> Preparing: SELECT user_id,create_time,psw,name,update_time,version FROM tb_user WHERE user_id=?
==> Parameters: 1(Integer)
<== Columns: user_id, create_time, psw, name, update_time, version
<== Row: 1, 2021-11-21 14:00:47, 123, 李四四, 2021-11-21 22:00:47, null
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@77c10a5f]
tb_user(userId=1, name=李四四, psw=123, createTime=Sun Nov 21 22:00:47 CST 2021, updateTime=Mon Nov 22 06:00:47 CST 2021, version=null)
这是就会想,如果想通过多个id值,查询一个List集合咋办呢?不慌MybatisPlus还是有方法
2、根据多个id查询
: selectBatchIds(数组) @Test
public void selectBatchById(){
List<tb_user> user = userMapper.selectBatchIds(Arrays.asList(1, 2, 3, 4, 6));
user.forEach(System.out::println);
}
输出日志信息
==> Preparing: SELECT user_id,create_time,psw,name,update_time,version FROM tb_user WHERE user_id IN ( ? , ? , ? , ? , ? )
==> Parameters: 1(Integer), 2(Integer), 3(Integer), 4(Integer), 6(Integer)
<== Columns: user_id, create_time, psw, name, update_time, version
<== Row: 1, 2021-11-21 14:00:47, 123, 李四四, 2021-11-21 22:00:47, null
<== Row: 2, null, 123, 张三, null, null
<== Row: 3, null, 123, 张三, null, null
<== Row: 4, null, 123, 张三, null, null
<== Row: 6, 2021-11-21 22:05:11, 123, 李四四, 2021-11-22 12:26:29, null
<== Total: 5
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@795f8317]
tb_user(userId=1, name=李四四, psw=123, createTime=Sun Nov 21 22:00:47 CST 2021, updateTime=Mon Nov 22 06:00:47 CST 2021, version=null)
tb_user(userId=2, name=张三, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=3, name=张三, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=4, name=张三, psw=123, createTime=null, updateTime=null, version=null)
3、Map条件查询
:selectByMap(map) @Test
public void selectByMap(){
Map<String,Object> map = new HashMap<>();
map.put("name","李四");
map.put("psw","123");
List<tb_user> user = userMapper.selectByMap(map);
user.forEach(System.out::println);
}
输出日志信息
=> Preparing: SELECT user_id,create_time,psw,name,update_time,version FROM tb_user WHERE psw = ? AND name = ?
==> Parameters: 123(String), 李四(String)
<== Total: 0
4、分页查询
在之前直接使用最传统:limit offset,number
后面使用分页插件:如PageHelper
在MybatisPlus非常简单,只需要两步
第一步
:在配置文件中加入配置信息
@MapperScan("sz.kingdom.testmybatisplus.mapper")
@Configuration
public class MyConfiguration {
// 注册乐观锁插件
@Bean
public OptimisticLockerInterceptor optimisticLockerInterceptor(){
return new OptimisticLockerInterceptor();
}
@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
paginationInterceptor.setCountSqlParser(new JsqlParserCountOptimize(true));
return paginationInterceptor;
}
}
第二步
:
@Test
public void TestLimit(){
Page<tb_user> page = new Page<>(1,10);
userMapper.selectPage(page,null);
List<tb_user> userLists = page.getRecords();
userLists.forEach(System.out::println);
}
new Page(1,5)
:一般需要两个参数,第一个参数:第几页
,第二个参数:每页多少条记录
输出日志
:
JDBC Connection [HikariProxyConnection@1510312933 wrapping com.mysql.cj.jdbc.ConnectionImpl@4eaf7902] will not be managed by Spring
==> Preparing: SELECT COUNT(1) FROM tb_user
==> Parameters:
<== Columns: COUNT(1)
<== Row: 17
==> Preparing: SELECT user_id,create_time,psw,name,update_time,version FROM tb_user LIMIT ?,?
==> Parameters: 0(Long), 10(Long)
<== Columns: user_id, create_time, psw, name, update_time, version
<== Row: 1, 2021-11-21 14:00:47, 123, 李四四, 2021-11-21 22:00:47, null
<== Row: 2, null, 123, 张三, null, null
<== Row: 3, null, 123, 张三, null, null
<== Row: 4, null, 123, 张三, null, null
<== Row: 5, null, 123, 张三, null, null
<== Row: 6, 2021-11-21 22:05:11, 123, 李四四, 2021-11-22 12:26:29, null
<== Row: 7, null, yps0401, sxf, 2021-11-22 12:48:46, 9
<== Row: 1462266553855746050, null, 123, 张三1, null, null
<== Row: 1462270263956729858, null, 123, 张三1, null, null
<== Row: 1462270263956729859, null, 123, 张三1, null, null
<== Total: 10
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@ae73c80]
tb_user(userId=1, name=李四四, psw=123, createTime=Sun Nov 21 22:00:47 CST 2021, updateTime=Mon Nov 22 06:00:47 CST 2021, version=null)
tb_user(userId=2, name=张三, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=3, name=张三, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=4, name=张三, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=5, name=张三, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=6, name=李四四, psw=123, createTime=Mon Nov 22 06:05:11 CST 2021, updateTime=Mon Nov 22 20:26:29 CST 2021, version=null)
tb_user(userId=7, name=sxf, psw=yps0401, createTime=null, updateTime=Mon Nov 22 20:48:46 CST 2021, version=9)
tb_user(userId=1462266553855746050, name=张三1, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=1462270263956729858, name=张三1, psw=123, createTime=null, updateTime=null, version=null)
tb_user(userId=1462270263956729859, name=张三1, psw=123, createTime=null, updateTime=null, version=null)