week7 day3 记录相关操作之单表查询
week7 day3 记录相关操作之单表查询
- 1.1 单表查询的用法
- 1.2 关键字的执行优先级(重点)
- 1.3 简单查询
- 1.4 WHERE约束
- 1.5 分组查询GROUP BY
- 1.6 HAVING过滤
- 1.7 查询排序ORDER BY
- 1.8 限制查询的记录数LIMIT
- 1.9 使用正则表达式查询
1.1 单表查询的用法
select 字段1,字段2,字段3...
from 表名
where 条件
group by field
having 筛选
order by field
limit 限制条数
1.2 关键字的执行优先级(重点)
重点中的重点:关键字的执行优先级
from
where
group by
having
select
distinct
order by
limit
- 找到表from
- 拿着where指定的约束条件,去文件/表中取出一条条记录
- 将取出的一条条记录进行分组group by,如果没有group by,则整体为一组
- 将分组结果进行having过滤
- 执行select
- 去重
- 将结果按照条件排序order by
- 限制结果的显示条数
1.3 简单查询
# 准备表和记录
company.employee员工id id int 姓名 emp_name varchar性别 sex enum年龄 age int入职日期 hire_date date岗位 post varchar职位描述 post_comment varchar薪水 salary double办公室 office int部门编号 depart_id int#创建表
create table employee(
id int not null unique auto_increment,
name varchar(20) not null,
sex enum('male','female') not null default 'male', #大部分是男的
age int(3) unsigned not null default 28,
hire_date date not null,
post varchar(50),
post_comment varchar(100),
salary double(15,2),
office int, #一个部门一个屋子
depart_id int
);#查看表结构
mysql> desc employee;
+--------------+-----------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+-----------------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(20) | NO | | NULL | |
| sex | enum('male','female') | NO | | male | |
| age | int(3) unsigned | NO | | 28 | |
| hire_date | date | NO | | NULL | |
| post | varchar(50) | YES | | NULL | |
| post_comment | varchar(100) | YES | | NULL | |
| salary | double(15,2) | YES | | NULL | |
| office | int(11) | YES | | NULL | |
| depart_id | int(11) | YES | | NULL | |
+--------------+-----------------------+------+-----+---------+----------------+#插入记录
#三个部门:教学,销售,运营
insert into employee(name,sex,age,hire_date,post,salary,office,depart_id) values
('egon','male',18,'20170301','老男孩驻沙河办事处外交大使',7300.33,401,1), #以下是教学部
('alex','male',78,'20150302','teacher',1000000.31,401,1),
('wupeiqi','male',81,'20130305','teacher',8300,401,1),
('yuanhao','male',73,'20140701','teacher',3500,401,1),
('liwenzhou','male',28,'20121101','teacher',2100,401,1),
('jingliyang','female',18,'20110211','teacher',9000,401,1),
('jinxin','male',18,'19000301','teacher',30000,401,1),
('成龙','male',48,'20101111','teacher',10000,401,1),('歪歪','female',48,'20150311','sale',3000.13,402,2),#以下是销售部门
('丫丫','female',38,'20101101','sale',2000.35,402,2),
('丁丁','female',18,'20110312','sale',1000.37,402,2),
('星星','female',18,'20160513','sale',3000.29,402,2),
('格格','female',28,'20170127','sale',4000.33,402,2),('张野','male',28,'20160311','operation',10000.13,403,3), #以下是运营部门
('程咬金','male',18,'19970312','operation',20000,403,3),
('程咬银','female',18,'20130311','operation',19000,403,3),
('程咬铜','male',18,'20150411','operation',18000,403,3),
('程咬铁','female',18,'20140512','operation',17000,403,3)
;#ps:如果在windows系统中,插入中文字符,select的结果为空白,可以将所有字符编码统一设置成gbk准备表和记录
# 简单查询
select * from employee;
select name,salary from employee;# 避免重复
select distinct post from employee;# 通过四则运算查询
select name,salary*12 from employee;
select name,salary*12 as Annual_salary from employee;
select name,salary*12 Annual_salary from employee;# 定义显示格式
concat() 函数用于连接字符串
select concat('姓名:',name,'年薪:',salary*12) as Annul_salary
from employee;concat_ws() 第一个参数为分隔符
select concat_ws(':',name,salary*12) as Annual_salary
from employee;结合case语句
select(casewhen name = 'egon' thennamewhen name = 'alex' thenconcat(name,'_BIGsb')elseconcat(NAME,'SB')end)as new_name
from employee;
小练习:
- 查出所有员工的名字,薪资,格式为
<名字:egon> <薪资:3000> - 查出所有的岗位(去掉重复)
- 查出所有员工名字,以及他们的年薪,年薪的字段名为annual_year
select concat('<名字:',name,'> ','<薪资:',salary,'>') from employee;
select distinct depart_id from employee;
select name,salary*12 annual_salary from employee;
1.4 WHERE约束
where字句中可以使用:
- 比较运算符:> < = <= >= <> !=
- between 80 and 100/值在10到20之间
- in(80,90,100)/值是10或20或30
- like ‘egon%’,
pattern可以实%或_,
%表示任意多字符
_表示一个字符 - 逻辑运算符:在多个条件直接可与使用逻辑运算符 and or not
# 1 单条件查询
select name from employee
where post='sale';# 2 多条件查询
select name,salary
from employee
where post='teacher' and salary>1000;# 3 关键字between and
select name,salary from employee
where salary between 1000 and 20000;select name,salary from employee
where salary not between 1000 and 20000;# 4 关键字is null(判断某个字段是否为null不能用等号,需要用is)
select name,post_comment from employee
where post_comment is null;select name,post_comment from employee
where post_comment is not null;select name,post_comment from employee
where post_comment=''; 注意''是空字符串而不是nullps:执行update employee set post_comment='' where id =2;再用上条查看,就知道结果了# 5 关键字in集合查询
select name,salary from employee
where salary=3000 or salary=4000 or salary=5000;select name,salary from employee
where salary in (3000,4000,5000);select name,salary from employee
where salary not in (3000,4000,5000);# 6 关键字like模糊查询通配符 %select name ,salary from employeewhere name like 'eg%';通配符 _select name,salary from employeewhere name like 'eg_';
小练习:
- 查看岗位是teacher的员工姓名、年龄
- 查看岗位是teacher且年龄大于30岁的员工姓名、年龄
- 查看岗位是teacher且薪资在9000-1000范围内的员工姓名、年龄、薪资
- 查看岗位描述不为NULL的员工信息
- 查看岗位是teacher且薪资是10000或9000或30000的员工姓名、年龄、薪资
- 查看岗位是teacher且薪资不是10000或9000或30000的员工姓名、年龄、薪资
- 查看岗位是teacher且名字是jin开头的员工姓名、年薪
select name,age from employee where post = 'teacher';
select name,age from employee where post='teacher' and age > 30;
select name,age,salary from employee where post='teacher' and salary between 9000 and 10000;
select * from employee where post_comment is not null;
select name,age,salary from employee where post='teacher' and salary in (10000,9000,30000);
select name,age,salary from employee where post='teacher' and salary not in (10000,9000,30000);
select name,salary*12 from employee where post='teacher' and name like 'jin%';
1.5 分组查询GROUP BY
什么是分组?为什么要分组?
一. 首先明确一点:分组发生在where之后,即分组是基于where之后,即分组是基于where之后得到的记录而进行的。
二. 分组指的是:将所有记录按照某个相同字段进行归类,比如针对员工信息表的职位分组,或者按照性别进行分组等。
三. 为何要分组呢?取每个部门最高工资 / 取每个部门的员工数 / 取男人和女人数
小窍门:需求中的 “每”、“平均”、“最高”、“最低” 后面的字段,就是我们分组的依据
四. 大前提:可以按照任意字段分组,但是分组完毕后,比如group by post,只能查看post字段,如果想查看组内信息,需要借助聚合函数,但使用聚合函数只能查看数字类型字段。想查看字符串类型字段用group_concat(xxx)
ONLY_FULL_GROUP_BY(修改一下配置)
#查看MySQL 5.7默认的sql_mode如下: mysql> select @@global.sql_mode; ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION#!!!注意 ONLY_FULL_GROUP_BY的语义就是确定select target list中的所有列的值都是明确语义,简单的说来,在ONLY_FULL_GROUP_BY模式下,target list中的值要么是来自于聚集函数的结果,要么是来自于group by list中的表达式的值。#设置sql_mole如下操作(我们可以去掉ONLY_FULL_GROUP_BY模式): mysql> set global sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION';!!!SQL_MODE设置!!!
mysql> select @@global.sql_mode; +-------------------+ | @@global.sql_mode | +-------------------+ | | +-------------------+ 1 row in set (0.00 sec)mysql> select * from emp group by post; +----+------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+ | id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id | +----+------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+ | 14 | 张野 | male | 28 | 2016-03-11 | operation | NULL | 10000.13 | 403 | 3 | | 9 | 歪歪 | female | 48 | 2015-03-11 | sale | NULL | 3000.13 | 402 | 2 | | 2 | alex | male | 78 | 2015-03-02 | teacher | NULL | 1000000.31 | 401 | 1 | | 1 | egon | male | 18 | 2017-03-01 | 老男孩驻沙河办事处外交大使 | NULL | 7300.33 | 401 | 1 | +----+------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+ 4 rows in set (0.00 sec)#由于没有设置ONLY_FULL_GROUP_BY,于是也可以有结果,默认都是组内的第一条记录,但其实这是没有意义的mysql> set global sql_mode='ONLY_FULL_GROUP_BY'; Query OK, 0 rows affected (0.00 sec)mysql> quit #设置成功后,一定要退出,然后重新登录方可生效 Byemysql> use db1; Database changed mysql> select * from emp group by post; #报错 ERROR 1055 (42000): 'db1.emp.id' isn't in GROUP BY mysql> select post,count(id) from emp group by post; #只能查看分组依据和使用聚合函数 +----------------------------+-----------+ | post | count(id) | +----------------------------+-----------+ | operation | 5 | | sale | 5 | | teacher | 7 | | 老男孩驻沙河办事处外交大使 | 1 | +----------------------------+-----------+ 4 rows in set (0.00 sec)
GROUP BY
单独使用group by关键字分组select post from employee group by post;注意:我们按照post字段分组,那么select查询的字段只能是post,想要获得组内的其他相关值信息,需要借助函数group by 关键字和group_concat() 函数一起使用select post,group_concat(name) from enployee group by post; # 按照岗位分组select post,group_concat(name) as emp_menbers from employee group by post;group by与聚合函数一起使用select post,count(id) as count from employee group by post; # 按照岗位分组,并查看每个组有多少人
强调:
如果我们用unique的字段作为分组的依据,则每一条记录自成一组,这种分组没有意义
多条记录之间的某个字段值相同,该字段通常用来作为分组的依据聚合函数
# 强调:聚合函数聚合的是组内的内容,若是没有分组,则默认一组 select count(*) from employee; select count(*) from employee where depart_id=1; select max(salary) from employee; select min(salary) from employee; select avg(salary) from employee; select sum(salary) from employee;
小练习
- 查询岗位名以及岗位包含的所有员工名字
- 查询岗位名以及各岗位内包含的员工个数
- 查询公司内男员工和女员工的个数
- 查询岗位名以及各岗位的平均薪资
- 查询岗位名以及各岗位的最高薪资
- 查询岗位名以及各岗位的最低薪资
- 查询男员工与男员工的平均薪资,女员工与女员工的平均薪资
#题1:分组
mysql> select post,group_concat(name) from employee group by post;
+-----------------------------------------+---------------------------------------------------------+
| post | group_concat(name) |
+-----------------------------------------+---------------------------------------------------------+
| operation | 张野,程咬金,程咬银,程咬铜,程咬铁 |
| sale | 歪歪,丫丫,丁丁,星星,格格 |
| teacher | alex,wupeiqi,yuanhao,liwenzhou,jingliyang,jinxin,成龙 |
| 老男孩驻沙河办事处外交大使 | egon |
+-----------------------------------------+---------------------------------------------------------+#题目2:
mysql> select post,count(id) from employee group by post;
+-----------------------------------------+-----------+
| post | count(id) |
+-----------------------------------------+-----------+
| operation | 5 |
| sale | 5 |
| teacher | 7 |
| 老男孩驻沙河办事处外交大使 | 1 |
+-----------------------------------------+-----------+#题目3:
mysql> select sex,count(id) from employee group by sex;
+--------+-----------+
| sex | count(id) |
+--------+-----------+
| male | 10 |
| female | 8 |
+--------+-----------+#题目4:
mysql> select post,avg(salary) from employee group by post;
+-----------------------------------------+---------------+
| post | avg(salary) |
+-----------------------------------------+---------------+
| operation | 16800.026000 |
| sale | 2600.294000 |
| teacher | 151842.901429 |
| 老男孩驻沙河办事处外交大使 | 7300.330000 |
+-----------------------------------------+---------------+#题目5
mysql> select post,max(salary) from employee group by post;
+-----------------------------------------+-------------+
| post | max(salary) |
+-----------------------------------------+-------------+
| operation | 20000.00 |
| sale | 4000.33 |
| teacher | 1000000.31 |
| 老男孩驻沙河办事处外交大使 | 7300.33 |
+-----------------------------------------+-------------+#题目6
mysql> select post,min(salary) from employee group by post;
+-----------------------------------------+-------------+
| post | min(salary) |
+-----------------------------------------+-------------+
| operation | 10000.13 |
| sale | 1000.37 |
| teacher | 2100.00 |
| 老男孩驻沙河办事处外交大使 | 7300.33 |
+-----------------------------------------+-------------+#题目七
mysql> select sex,avg(salary) from employee group by sex;
+--------+---------------+
| sex | avg(salary) |
+--------+---------------+
| male | 110920.077000 |
| female | 7250.183750 |
+--------+---------------+
1.6 HAVING过滤
HAVING
和WHERE
不一样的地方在于
执行顺序从高到低:where
> group by
> having
where
发生在分组group by
之前,因而where
中可以有任意字段,但是绝对不能使用聚合函数。having
发生在group by
分组之后,因而having
中可以使用分组的字段,无法直接取到其他字段,可以使用聚合函数
# 验证
mysql> select @@sql_mode;
+--------------------+
| @@sql_mode |
+--------------------+
| ONLY_FULL_GROUP_BY |
+--------------------+
1 row in set (0.00 sec)mysql> select * from emp where salary > 100000;
+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+
| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |
+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+
| 2 | alex | male | 78 | 2015-03-02 | teacher | NULL | 1000000.31 | 401 | 1 |
+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+
1 row in set (0.00 sec)mysql> select * from emp having salary > 100000;
ERROR 1463 (42000): Non-grouping field 'salary' is used in HAVING clausemysql> select post,group_concat(name) from emp group by post having salary > 10000;#错误,分组后无法直接取到salary字段
ERROR 1054 (42S22): Unknown column 'salary' in 'having clause'
mysql> select post,group_concat(name) from emp group by post having avg(salary) > 10000;
+-----------+-------------------------------------------------------+
| post | group_concat(name) |
+-----------+-------------------------------------------------------+
| operation | 程咬铁,程咬铜,程咬银,程咬金,张野 |
| teacher | 成龙,jinxin,jingliyang,liwenzhou,yuanhao,wupeiqi,alex |
+-----------+-------------------------------------------------------+
2 rows in set (0.00 sec)验证
小练习:
- 查询各岗位内包含的员工个数小于2的岗位名、岗位内包含员工名字、个数
- 查询各岗位平均薪资大于10000的岗位名、平均工资
- 查询各岗位平均薪资大于10000且小于20000的岗位名、平均工资
#题1:
mysql> select post,group_concat(name),count(id) from employee group by post having count(id) < 2;
+-----------------------------------------+--------------------+-----------+
| post | group_concat(name) | count(id) |
+-----------------------------------------+--------------------+-----------+
| 老男孩驻沙河办事处外交大使 | egon | 1 |
+-----------------------------------------+--------------------+-----------+#题目2:
mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000;
+-----------+---------------+
| post | avg(salary) |
+-----------+---------------+
| operation | 16800.026000 |
| teacher | 151842.901429 |
+-----------+---------------+#题目3:
mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000 and avg(salary) <20000;
+-----------+--------------+
| post | avg(salary) |
+-----------+--------------+
| operation | 16800.026000 |
+-----------+--------------+
1.7 查询排序ORDER BY
按单列排序
select * from employee order by salary; 不写默认是升序
select * from employee order by salary ASC;
select * from employee order by salary DESC;按多列排序:先按照age排序,如果年纪相同,则按照薪资排序
select * from employee
order by age,salary DESC; # 年龄升序,薪资降序
小练习:
- 查询所有员工信息,先按照age升序排序,如果age相同则按照hire_date降序排序
- 查询各岗位平均薪资大于10000的岗位名、平均工资,结果按平均薪资升序排列
- 查询各岗位平均薪资大于10000的岗位名、平均工资,结果按平均薪资降序排列
#题目1
mysql> select * from employee ORDER BY age asc,hire_date desc;#题目2
mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000 order by avg(salary) asc;
+-----------+---------------+
| post | avg(salary) |
+-----------+---------------+
| operation | 16800.026000 |
| teacher | 151842.901429 |
+-----------+---------------+#题目3
mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000 order by avg(salary) desc;
+-----------+---------------+
| post | avg(salary) |
+-----------+---------------+
| teacher | 151842.901429 |
| operation | 16800.026000 |
+-----------+---------------+
1.8 限制查询的记录数LIMIT
示例:SELECT * FROM employee ORDER BY salary DESC LIMIT 3; #默认初始位置为0 SELECT * FROM employee ORDER BY salary DESCLIMIT 0,5; #从第0开始,即先查询出第一条,然后包含这一条在内往后查5条SELECT * FROM employee ORDER BY salary DESCLIMIT 5,5; #从第5开始,即先查询出第6条,然后包含这一条在内往后查5条
小练习:
- 分页显示,每页五条
mysql> select * from employee limit 0,5;
+----+-----------+------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+
| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |
+----+-----------+------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+
| 1 | egon | male | 18 | 2017-03-01 | 老男孩驻沙河办事处外交大使 | NULL | 7300.33 | 401 | 1 |
| 2 | alex | male | 78 | 2015-03-02 | teacher | | 1000000.31 | 401 | 1 |
| 3 | wupeiqi | male | 81 | 2013-03-05 | teacher | NULL | 8300.00 | 401 | 1 |
| 4 | yuanhao | male | 73 | 2014-07-01 | teacher | NULL | 3500.00 | 401 | 1 |
| 5 | liwenzhou | male | 28 | 2012-11-01 | teacher | NULL | 2100.00 | 401 | 1 |
+----+-----------+------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+
5 rows in set (0.00 sec)mysql> select * from employee limit 5,5;
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
| 6 | jingliyang | female | 18 | 2011-02-11 | teacher | NULL | 9000.00 | 401 | 1 |
| 7 | jinxin | male | 18 | 1900-03-01 | teacher | NULL | 30000.00 | 401 | 1 |
| 8 | 成龙 | male | 48 | 2010-11-11 | teacher | NULL | 10000.00 | 401 | 1 |
| 9 | 歪歪 | female | 48 | 2015-03-11 | sale | NULL | 3000.13 | 402 | 2 |
| 10 | 丫丫 | female | 38 | 2010-11-01 | sale | NULL | 2000.35 | 402 | 2 |
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
5 rows in set (0.00 sec)mysql> select * from employee limit 10,5;
+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |
+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
| 11 | 丁丁 | female | 18 | 2011-03-12 | sale | NULL | 1000.37 | 402 | 2 |
| 12 | 星星 | female | 18 | 2016-05-13 | sale | NULL | 3000.29 | 402 | 2 |
| 13 | 格格 | female | 28 | 2017-01-27 | sale | NULL | 4000.33 | 402 | 2 |
| 14 | 张野 | male | 28 | 2016-03-11 | operation | NULL | 10000.13 | 403 | 3 |
| 15 | 程咬金 | male | 18 | 1997-03-12 | operation | NULL | 20000.00 | 403 | 3 |
+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
5 rows in set (0.00 sec)
1.9 使用正则表达式查询
select * from employee where name regexp '^ale'; ^:以xxx开头
select * from employee where name regexp 'on$'; $:以xxx结尾
select * from employee where name regexp 'm{2}';小结:对字符串匹配的方式
where name = 'egon';
where name like 'egon%'/'_egon';
where name regexp 'on$';
小练习:
- 查看所有员工中名字是jin开头,n或者g结果的员工信息
select * from employee where name regexp '^jin.*[gn]$';
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