sql 50 题 21-25

sql 复制代码
#21、查询不同老师所教不同课程平均分从高到低显示 
select 
	round(avg(a.s_score),2) as avg_score,
    b.c_id,
    c.t_name
from score a
left join course b
on a.c_id = b.c_id
left join teacher c
on b.t_id = c.t_id
group by a.c_id
order by avg_score desc

你又忘了orderby 的使用。


sql 复制代码
#22、查询所有课程的成绩第2名到第3名的学生信息及该课程成绩
with rankedscore as
	(select 
		rank() over(partition by c_id order by s_score desc) rk,
		s_id,
		s_score,
		c_id
	from score)
select
	a.*,
    rdk.rk,
    rdk.s_score,
    rdk.c_id,
    b.c_name
from
	rankedscore rdk
left join 
	student a
on a.s_id = rdk.s_id
left join course b
on b.c_id = rdk.c_id
where rdk.rk between 2 and 3

题目要求其实应该是总成绩在2.3的人,但是我们这里增加一点难度,写成各科的23名,那么这里新加了【with】查询,使用with可增加代码可读性。


sql 复制代码
#23、统计各科成绩各分数段人数:课程编号,课程名称,[100-85],[85-70],[70-60],[0-60]及所占百分比
select
	c_id,
    round(100*(sum(case when s_score between 85 and 100 then 1 else 0 end)/sum(case when s_score between 0 and 100 then 1 else 0 end)),2) as A,
	round(100*(sum(case when s_score between 70 and 85 then 1 else 0 end)/sum(case when s_score between 0 and 100 then 1 else 0 end)),2) as B,
	round(100*(sum(case when s_score between 60 and 70 then 1 else 0 end)/sum(case when s_score between 0 and 100 then 1 else 0 end)),2) as C,
	round(100*(sum(case when s_score between 0 and 60 then 1 else 0 end)/sum(case when s_score between 0 and 100 then 1 else 0 end)),2) as D,
	sum(case when s_score between 0 and 60 then 1 else 0 end)
from 
	score
group by c_id
    

这个是你写的,错误的地方有几个,一个是除法是/而非\,第二个,区别between和and,前者是闭区间,后者是开区间,当前后者的取值会更加灵活,如果是> = <= 那么就是两侧闭区间,所以一般多使用后者。有一个写法优化的事情,就是分母不用再复制过来修改,直接使用count(1)来做,count(1)也就是直接统计行数。

修改优化后:

sql 复制代码
SELECT 
    b.c_id,
    b.c_name,
-- [100-85]
    SUM(CASE WHEN a.s_score > 85 AND a.s_score <= 100 THEN 1 ELSE 0 END) AS "[100-85]",
    ROUND(100 * (SUM(CASE WHEN a.s_score > 85 AND a.s_score <= 100 THEN 1 ELSE 0 END) / COUNT(*)), 2) AS "[100-85]%",
-- [85-70]
    SUM(CASE WHEN a.s_score > 70 AND a.s_score <= 85 THEN 1 ELSE 0 END) AS "[85-70]",
    ROUND(100 * (SUM(CASE WHEN a.s_score > 70 AND a.s_score <= 85 THEN 1 ELSE 0 END) / COUNT(*)), 2) AS "[85-70]%",
-- [70-60]
    SUM(CASE WHEN a.s_score > 60 AND a.s_score <= 70 THEN 1 ELSE 0 END) AS "[70-60]",
    ROUND(100 * (SUM(CASE WHEN a.s_score > 60 AND a.s_score <= 70 THEN 1 ELSE 0 END) / COUNT(*)), 2) AS "[70-60]%",
-- [0-60]
    SUM(CASE WHEN a.s_score <= 60 THEN 1 ELSE 0 END) AS "[0-60]",
    ROUND(100 * (SUM(CASE WHEN a.s_score <= 60 THEN 1 ELSE 0 END) / COUNT(*)), 2) AS "[0-60]%"
FROM score a
LEFT JOIN course b ON a.c_id = b.c_id
GROUP BY b.c_id, b.c_name;

来自ai,自己做还是有点问题。。。。。。


sql 复制代码
#24、查询学生平均成绩及其名次 
select
	s_id,
    avg(s_score) as avg_score,
    rank() over(order by avg(s_score) desc) rk
from
	score
group by s_id
order by avg_score  desc

注意 你自己写得是order by 但是以为自己写的是 group by 还看了好久都找不出原因。dence_ranke() 是更优的排序方式。


sql 复制代码
-- 25、查询各科成绩前三名的记录
with ranked_score as
	(select
		s_id,
		c_id,
        s_score,
		rank() over (partition by c_id order by s_score desc) as rk
	from
		score)
select
	rdk.s_id,
	rdk.c_id,
    a.s_name,
    rdk.rk ,
    rdk.s_score
from
	ranked_score as rdk
left join
	student a
on 
 a.s_id = rdk.s_id
where rk <= 3

开窗函数太好用了......


相关推荐
电商API&Tina几秒前
【电商API接口】开发者一站式电商API接入说明
大数据·数据库·人工智能·云计算·json
2401_857918292 分钟前
用Python和Twilio构建短信通知系统
jvm·数据库·python
樹JUMP7 分钟前
使用Docker容器化你的Python应用
jvm·数据库·python
原来是猿44 分钟前
MySQL【用户管理】
数据库·mysql
2501_945423541 小时前
使用Fabric自动化你的部署流程
jvm·数据库·python
2401_846341651 小时前
用Pandas处理时间序列数据(Time Series)
jvm·数据库·python
2401_831824961 小时前
编写一个Python脚本自动下载壁纸
jvm·数据库·python
2401_857918291 小时前
Python在2024年的主要趋势与发展方向
jvm·数据库·python
IvorySQL2 小时前
PostgreSQL 19 重磅新语法终于补齐这个缺口
数据库·postgresql·开源
IvorySQL2 小时前
PostgreSQL 技术日报 (3月23日)|使用 rdtsc 减少 EXPLAIN ANALYZE 的计时开销
数据库·postgresql·开源