本文内容:

  • 插入数据:
  • 查询数据
  • 修改数据
  • 删除数据

首发日期:2018-04-11


插入数据:

  • 给所有字段插入数据:

    • 插入单条记录:insert into 表名 values(值列表);
    • 插入多条记录:insert into 表名 values(值列表),(值列表),(值列表)…;
  • 给某些字段插入数据(与上面一样有单条和多条的用法):insert into 表名(字段列表) values(值列表);
use test;
create table student(
id int primary key auto_increment,
name varchar(15) not null,
gender varchar(10)
);
-- 插入数据
insert into student(name,gender) values("lilei","male");
insert into student(name,gender) values("jack","male"),('alice','female');
-- 查询
select * from student;

查看数据:

  • 查看所有字段:

    • select * from 表名;
    • select 所有字段 from 表名;
  • 查看部分字段:
    • select 字段列表 from 表名;
  • 根据条件筛选结果:where子句
    • select 字段列表 from 表名 where 条件;

补充:

  • where子句:

    • 基于值:

      • = : where 字段 =值  ;查找出对应字段等于对应值的记录。(相似的,<是小于对应值,<=是小于等于对应值,>是大于对应值,>=是大于等于对应值,!=是不等于)
      • like: where 字段 like '模糊匹配',like的功能与 = 相似 ,但可以使用模糊匹配来查找结果。
    • 基于值的范围:
      • in: where 字段 in 范围;查找出对应字段的值在所指定范围的记录。
      • not in : where 字段 not in 范围;查找出对应字段的值不在所指定范围的记录。
      • between x and y :查找出对应字段的值在闭区间[x,y]范围的记录。
    • 条件复合:
      • or : where 条件1 or 条件2… ; 查找出符合条件1或符合条件2的记录。
      • and:  where 条件1 and 条件2… ; 查找出符合条件1并且符合条件2的记录。
      • not : where not 条件1 ;查找出不符合条件的所有记录。
      • &&的功能与and相同;||与or功能类似,!与not 功能类似。
      select * from student;
      select name from student; select * from student where name ="lilei";
      select * from student where id != 1;
      select * from student where name like "li%"; select * from student where id in (1,3,5); -- 值为1,3,5的记录
      select * from student where id not in (1,3,5);
      select * from student where id between 1 and 5; select * from student where name ="lilei" or name ="jack";
      select * from student where not id =1;
  • 这里只是简单的select语句,想了解更多可以参考我的另外一篇博文(超链接->:mysql学习之完整的select语句)。

更新数据:

  • 更新全部记录:

    • update 表名 set  字段名 = 值;
  • 更新多个字段:
    • update 表名 set 字段名 =值,字段名=值,…;
  • 更新指定记录:
    • update 表名 set 字段名 = 值 where 条件; 【where条件参考上面的select的补充内容】
  • 更新指定条数记录:
    • update 表名 set 字段名 = 值 where 条件 limit count;【count是指定更新条数】
update student set name = "lilei";
update student set name = "hanmeimei",gender ="female" where name="lilei" limit 1;
update student set name = "lile" where id =2;
update student set name = "lile" where name = "lilei" limit 2;

修改数据:

  • 删除所有记录:

    • delete from 表名 ; 【慎用!】
  • 删除指定记录:
    • delete from 表名 where 条件;【where条件参考上面的select的补充内容】
  • 删除指定条数:
    • delete from 表名 where 条件 limit count;【count是指定更新条数】
delete from student where id =2;

补充:

  • 删除需谨慎。

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" 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