加入收藏 | 设为首页 | 会员中心 | 我要投稿 云计算网_泰州站长网 (http://www.0523zz.com/)- 视觉智能、AI应用、CDN、行业物联网、智能数字人!
当前位置: 首页 > 站长学院 > MySql教程 > 正文

在具有多个条件的MySQL中使用group by子句的正确方法是什么?

发布时间:2021-03-01 01:30:14 所属栏目:MySql教程 来源:网络整理
导读:我正在编写一个查询,如果每个专业的平均成绩均超过80,它将找到每个专业中年龄最小的学生,并根据以下关系按他们的名字排序.我正在使用MySQL服务器并正在使用MySQL Workbench. 学生: snum: integername: stringmajor: stringlevel: stringage: integer 类:

我正在编写一个查询,如果每个专业的平均成绩均超过80,它将找到每个专业中年龄最小的学生,并根据以下关系按他们的名字排序.我正在使用MySQL服务器并正在使用MySQL Workbench.

学生:

snum: integer
name: string
major: string
level: string
age: integer

类:

cname: string
meets_at: time
room: string
fid: integer

年级:

snum (foreign key)
name (foreign key)
score 

这是我尝试实现查询的方式.

select S.major,S.name,S.age
from student S,grades G
group by S.major
Having MIN(S.age) and G.score > (Select avg(G.score) 
                                from grades G1,student S
                                where S.snum = G1.snum) ;

但是,这行不通,我对查询的外观感到非常困惑.

样本数据:

CREATE TABLE students
(`snum` int,`name` varchar(18),`major` varchar(22),`standing` varchar(2),`age` int)
 ;

INSERT INTO student
(`snum`,`name`,`major`,`standing`,`age`)
VALUES
(578875478,'Edward Baker','Veterinary Medicine','SR',21),(574489456,'Betty Adams','Economics','JR',20),(573284895,'Steven Green','Kinesiology','SO',19),(567354612,'Karen Scott','Computer Engineering','FR',18),(556784565,'Kenneth Hill','Civil Engineering',(552455318,'Ana Lopez',(550156548,'George Wright','Education',(462156489,'Donald King','Mechanical Engineering',(455798411,'Luis Hernandez','Electrical Engineering',17),(451519864,'Mark Young','Finance',(351565322,'Nancy Allen','Accounting',(348121549,'Paul Hall','Computer Science',(322654189,'Lisa Walker',(320874981,'Daniel Lee',(318548912,'Dorthy Lewis',(301221823,'Juan Rodriguez','Psychology',(280158572,'Margaret Clark','Animal Science',(269734834,'Thomas Robinson',(132977562,'Angela Martinez','History',(115987938,'Christopher Garcia',(112348546,'Joseph Thompson',(99354543,'Susan Martin','Law',(60839453,'Charles Harris','Architecture',22),(51135593,'Maria White','English',21);

CREATE TABLE grades
(`snum` int,`cname` varchar(23),`score` int);

INSERT INTO grades
(`snum`,`cname`,`score`)
VALUES
(574489456,'Urban Economics',45),'Operating System Design',98),'Data Structures',100),'Communication Networks',87),'Optical Electronics','Database Systems',90),97),56),'Perception','Social Cognition',80),35),'Patent Law',65)
 ;

预期成绩:

+------------------------+----------------+----+---------+---+
| Computer Engineering   | Karen Scott    | 18 | 99.0000 | 1 |
+------------------------+----------------+----+---------+---+
| Computer Science       | Paul Hall      | 18 | 90.0000 | 1 |
+------------------------+----------------+----+---------+---+
| Electrical Engineering | Luis Hernandez | 17 | 93.5000 | 1 |
+------------------------+----------------+----+---------+---+
| Psychology             | Juan Rodriguez | 20 | 87.0000 | 1 |
+------------------------+----------------+----+---------+---+
最佳答案 这是一种适用于您的用例的方法.逻辑是将聚合和窗口函数结合在一起.

首先,您可以使用简单的汇总查询来计算每个学生的平均分数:

SELECT s.major,s.name,s.age,AVG(g.score) avg_score
FROM 
    students s
    INNER JOIN grades g ON g.snum = s.snum
GROUP BY s.snum,s.major,s.age
HAVING AVG(g.score) > 80

这将为每位平均得分高于80的学生及其年龄,姓名和专业以及平均得分提供一条记录.

现在剩下要做的就是在每组具有相同专业的学生中选择最年轻的学生.这可以通过窗口函数ROW_NUMBER()完成:

SELECT major,name,age,avg_score
FROM (
    SELECT
        x.*,ROW_NUMBER() OVER(PARTITION BY major ORDER BY age) rn
    FROM (
        SELECT s.major,AVG(g.score) avg_score
        FROM 
            students s
            INNER JOIN grades g ON g.snum = s.snum
        GROUP BY s.snum,s.age
        HAVING AVG(g.score) > 80
    ) x
) z WHERE rn = 1

带有示例数据的DB Fiddle返回:

| major                  | name           | age | avg_score |
| ---------------------- | -------------- | --- | --------- |
| Computer Engineering   | Karen Scott    | 18  | 99        |
| Computer Science       | Paul Hall      | 18  | 90        |
| Electrical Engineering | Luis Hernandez | 17  | 93.5      |
| Psychology             | Juan Rodriguez | 20  | 87        |

(编辑:云计算网_泰州站长网)

【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容!

    热点阅读