ARTICLE mysql |
AUTHOR 面试 |
PRICE sql |
0001 数据库 |
B express |
3.99 微信 |
0002 网络 |
A oracle |
10.99 ide |
0003 函数 |
C |
1.69 |
0004 |
B |
19.95 |
0005 |
A |
6.96 |
ARTICLE |
AUTHOR |
PRICE |
0002 |
A |
10.99 |
0003 |
C |
1.69 |
0004 |
B |
19.95 |
(1) group by的含义:将查询结果按照1个或多个字段进行分组,字段值相同的为一组
(2) group by可用于单个字段分组,也可用于多个字段分组
select * from employee;
+------+------+--------+------+------+-------------+
| num | d_id | name | age | sex | homeaddr |
+------+------+--------+------+------+-------------+
| 1 | 1001 | 张三 | 26 | 男 | beijinghdq |
| 2 | 1002 | 李四 | 24 | 女 | beijingcpq |
| 3 | 1003 | 王五 | 25 | 男 | changshaylq |
| 4 | 1004 | Aric | 15 | 男 | England |
+------+------+--------+------+------+-------------+
select * from employee group by d_id,sex;
select * from employee group by sex;
+------+------+--------+------+------+------------+
| num | d_id | name | age | sex | homeaddr
|+------+------+--------+------+------+------------+
| 2 | 1002 | 李四 | 24 | 女 | beijingcpq |
| 1 | 1001 | 张三 | 26 | 男 | beijinghdq |
+------+------+--------+------+------+------------+
根据sex字段来分组,sex字段的所有值只有两个('男'和'女'),因此分为了两组 当group by单独使用时,只显示出每组的第一条记录 因此group by单独使用时的实际意义不大
group by + group_concat()
(1) group_concat(字段名)能够做为一个输出字段来使用,
(2) 表示分组以后,根据分组结果,使用group_concat()来放置每一组的某字段的值的集合
select sex from employee group by sex;
+------+
| sex |
+------+
| 女 |
| 男 |
+------+
select sex,group_concat(name) from employee group by sex;
+------+--------------------+
| sex | group_concat(name) |
+------+--------------------+
| 女 | 李四 |
| 男 | 张三,王五,Aric |
+------+--------------------+
select sex,group_concat(d_id) from employee group by sex;
+------+--------------------+
| sex | group_concat(d_id) |
+------+--------------------+
| 女 | 1002 |
| 男 | 1001,1003,1004 |
+------+--------------------+
group by + 集合函数
(1) 经过group_concat()的启发,咱们既然能够统计出每一个分组的某字段的值的集合,那么咱们也能够经过集合函数来对这个"值的集合"作一些操做
select sex,group_concat(age) from employee group by sex;
+------+-------------------+
| sex | group_concat(age) |
+------+-------------------+
| 女 | 24 |
| 男 | 26,25,15 |
+------+-------------------+
分别统计性别为男/女的人年龄平均值
select sex,avg(age) from employee group by sex;
+------+----------+
| sex | avg(age) |
+------+----------+
| 女 | 24.0000 |
| 男 | 22.0000 |
+------+----------+
分别统计性别为男/女的人的个数
select sex,count(sex) from employee group by sex;
+------+------------+
| sex | count(sex) |
+------+------------+
| 女 | 1 |
| 男 | 3 |
+------+------------+
group by + having
(1) having 条件表达式:用来分组查询后指定一些条件来输出查询结果
(2) having做用和where同样,但having只能用于group by
select sex,count(sex) from employee group by sex having count(sex)>2;
+------+------------+
| sex | count(sex) |
+------+------------+
| 男 | 3 |
+------+------------+
group by + with rollup
(1) with rollup的做用是:在最后新增一行,来记录当前列里全部记录的总和
select sex,count(age) from employee group by sex with rollup;
+------+------------+
| sex