需求
表: Friends
±--------------±--------+
| Column Name | Type |
±--------------±--------+
| id | int |
| name | varchar |
| activity | varchar |
±--------------±--------+
id 是朋友的 id 和该表的主键
name 是朋友的名字
activity 是朋友参加的活动的名字
表: Activities
±--------------±--------+
| Column Name | Type |
±--------------±--------+
| id | int |
| name | varchar |
±--------------±--------+
id 是该表的主键
name 是活动的名字
写一条 SQL 查询那些既没有最多,也没有最少参与者的活动的名字
Activities 表中的任意活动都有在 Friends 中参与过
可以以 任何顺序 返回结果。
下面是查询结果格式的例子。
示例 1:
输入:
Friends 表:
±-----±-------------±--------------+
| id | name | activity |
±-----±-------------±--------------+
| 1 | Jonathan D. | Eating |
| 2 | Jade W. | Singing |
| 3 | Victor J. | Singing |
| 4 | Elvis Q. | Eating |
| 5 | Daniel A. | Eating |
| 6 | Bob B. | Horse Riding |
±-----±-------------±--------------+
Activities 表:
±-----±-------------+
| id | name |
±-----±-------------+
| 1 | Eating |
| 2 | Singing |
| 3 | Horse Riding |
±-----±-------------+
输出:
±-------------+
| activity |
±-------------+
| Singing |
±-------------+
解释:
Eating 活动有三个人参加, 是最多人参加的活动 (Jonathan D. , Elvis Q. and Daniel A.)
Horse Riding 活动有一个人参加, 是最少人参加的活动 (Bob B.)
Singing 活动有两个人参加 (Victor J. and Jade W.)
输入
输出
sql
with t1 as (select f.activity, count(1) as cnt
from Friends f
left join activities a on f.activity = a.name
group by f.activity),
t2 as (select *,
row_number() over (order by cnt) as rn1,
row_number() over (order by cnt desc) as rn2
from t1)
select activity
from t2
where rn1!=1 and rn2!=1;