SQL进阶day10————多表查询

作者 : admin 本文共7832个字,预计阅读时间需要20分钟 发布时间: 2024-06-10 共2人阅读

目录

1嵌套子查询

1.1月均完成试卷数不小于3的用户爱作答的类别

1.2月均完成试卷数不小于3的用户爱作答的类别

​编辑1.3 作答试卷得分大于过80的人的用户等级分布

2合并查询

2.1每个题目和每份试卷被作答的人数和次数

2.2分别满足两个活动的人

3连接查询

3.1满足条件的用户的试卷完成数和题目练习数

3.2 每个6/7级用户活跃情况

1嵌套子查询

1.1月均完成试卷数不小于3的用户爱作答的类别

SQL进阶day10————多表查询插图

我的代码:思路就是这么个思路,反正没有搞出来当月均完成试卷数

select tag,count(submit_time) tag_cnt
from exam_record er join examination_info ei
on er.exam_id = ei.exam_id
where uid in (当月均完成试卷数>=3)
group by tag
order by tag_cnt desc

反正没有搞出来当月均完成试卷数,报错: 

SQL进阶day10————多表查询插图(1)

大佬正确答案:

居然和我的差不多,我就分组的时候少了uid,还有按照uid进行分组。此外,作答次数=count(start_time),而不是提交次数。

select tag, count(start_time) as tag_cnt
from exam_record er inner join examination_info ei
on er.exam_id = ei.exam_id
where uid in 
(select uid
from exam_record er 
group by uid, month(start_time)
having count(submit_time) >= 3)
group by tag
order by tag_cnt desc

复盘:

(1)uid,month(submit_time)是啥呢,如果原来只是按照month(submit_time)进行分组,1002,1003,1005都有多个

SQL进阶day10————多表查询插图(2)

 (2)如果按照uid,month(submit_time)进行分组,情况如下

SQL进阶day10————多表查询插图(3)

(3)这么如果只是按照month(submit_time) 分组,uid,month(submit_time)只有9和null两种情况,当使用GROUP BY子句时,NULL值将被视为一个独立的分组,并在结果集中显示一个额外的分组来表示它。

SQL进阶day10————多表查询插图(4)

(4)结果显示只有1002,1005这两个用户满足要求,然后查找这两个用户的作答的类别及作答次数。

SQL进阶day10————多表查询插图(5)

(5)验证:where uid =1002 or uid = 1005  等价于 子查询的效果

SQL进阶day10————多表查询插图(6)

SQL进阶day10————多表查询插图(7)

还有一种大佬做法是:

select tag,count(start_time) tag_cnt
from exam_record er join examination_info ei
on er.exam_id = ei.exam_id
-- where uid =1002 or uid = 1005 
WHERE er.uid IN (
    SELECT uid
    FROM exam_record
    GROUP BY uid
    HAVING COUNT(submit_time) / COUNT(DISTINCT DATE_FORMAT(submit_time, "%Y%m")) >= 3
)
group by tag
order by tag_cnt desc

 这样出来的两个用户也是1002和1005:

  • 相当于:月均完成试卷数 = 总完成次数/哪些月份提交了数据

COUNT(DISTINCT DATE_FORMAT(submit_time, “%Y%m”))=1,所以答案一样的。

SQL进阶day10————多表查询插图(8)

COUNT(DISTINCT DATE_FORMAT(submit_time, “%Y%m”))中的distinct很重要:

SQL进阶day10————多表查询插图(9)

1.2月均完成试卷数不小于3的用户爱作答的类别

SQL进阶day10————多表查询插图(10)

我的代码:答案错误,但是我能发现的的改了,

(1)SQL类,(2)当天,(3)作答人数

select er.exam_id,
any_value(count(er.submit_time)) uv,
round(avg(er.score),1) avg_score
from examination_info ei join exam_record er
on ei.exam_id = er.exam_id
where ei.tag = "SQL" 
and day(submit_time)=day(release_time)
and er.uid in 
(select uid 
from user_info
where level > 5)
group by er.exam_id
order by uv desc,avg_score asc

SQL进阶day10————多表查询插图(11)

正确代码:

select er.exam_id,
any_value(count(distinct er.uid)) uv,
round(avg(er.score),1) avg_score
from examination_info ei join exam_record er
on ei.exam_id = er.exam_id
where ei.tag = "SQL" 
and date_format(submit_time,'%Y%m%d')=date_format(release_time,'%Y%m%d')
and er.uid in 
(select uid 
from user_info
where level > 5)
group by er.exam_id
order by uv desc,avg_score asc

复盘:

(1)同一天,不能用day函数,0901和0201的day都是1,但是不是同一天。

SQL进阶day10————多表查询插图(12)

SQL进阶day10————多表查询插图(13)

(2)计算人数时,要加distinct才对:

原数据有这种离谱的情况??

SQL进阶day10————多表查询插图(14)1.3 作答试卷得分大于过80的人的用户等级分布

SQL进阶day10————多表查询插图(15)

我的正确代码:直接三表连接

select level,count(level) level_cnt
from user_info u 
join exam_record er
on u.uid = er.uid
join examination_info ei
on ei.exam_id = er.exam_id
where ei.tag = 'SQL'
and er.score>80
group by level

嵌套子查询的方法代码:

SELECT level, 
COUNT(level) AS level_cnt
FROM user_info
WHERE uid IN (
              SELECT DISTINCT uid
              FROM exam_record
              WHERE score > 80
              AND exam_id IN (
                                SELECT exam_id 
                                FROM examination_info 
                                WHERE tag = 'SQL'
                              )
             )
GROUP BY level
ORDER BY level_cnt DESC;

2合并查询

2.1每个题目和每份试卷被作答的人数和次数

SQL进阶day10————多表查询插图(16)

我的代码:分别查询然后用union all合并起来,但是答案错了

select exam_id tid,
count(distinct er.uid) uv,
count(distinct pr.submit_time) pv
from exam_record er join practice_record pr
using(uid)
group by exam_id

union all

select question_id tid,
count(distinct er.uid) uv,
count(distinct pr.submit_time) pv
from exam_record er join practice_record pr
using(uid)
group by question_id

正确答案:

select * from 
(SELECT exam_id tid,count(DISTINCT uid) uv,count(uid) pv from exam_record
group by exam_id
order by uv desc,pv desc)a
UNION ALL
SELECT * FROM
(SELECT question_id tid,count(DISTINCT uid) uv,count(uid) pv from practice_record
GROUP BY question_id
order by uv desc,pv desc)b

我的代码改正:这个题最后不要合并,题目和试卷在不同的表里,分别查询在合并就好了

select exam_id tid,
count(distinct er.uid) uv,
count(er.uid) pv
from exam_record er
group by exam_id

union all

select question_id tid,
count(distinct pr.uid) uv,
count(pr.uid) pv
from practice_record pr
group by question_id

还没排序:

但是使用 union 和 多个order by 不加括号 【报错】,order by 在 union 连接的子句不起作用,但是在子句的子句中起作用。

方法一:所以加两个order的话正确要这样写:

#正确代码
select * from 
(
select 
    exam_id as tid,
    count(distinct uid) as uv,
    count(uid) as pv
from exam_record a
group by exam_id
order by uv desc, pv desc
) a
union
select * from 
(
select 
    question_id as tid,
    count(distinct uid) as uv,
    count(uid) as pv
from practice_record b
group by question_id
order by uv desc, pv desc
) attr

方法二:或者利用left(str,length) 函数: str左边开始的长度为 length 的子字符串,在本例中为‘9’和‘8’。

order by left(tid,1) desc,uv desc,pv desc

解释:试卷编号以‘9’开头、题目编号以‘8’开头,对编号进行降序就是对”试卷”和”题目”分别进行排序。

(
    #每份试卷被作答的人数和次数
    select
        exam_id as tid,
        count(distinct uid) as uv,
        count(*) as pv
from exam_record
group by exam_id
)
union
(
    #每个题目被作答的人数和次数
    select
        question_id as tid,
        count(distinct uid) as uv,
        count(*) as pv
from practice_record
group by question_id
)
#分别按照"试卷"和"题目"的uv & pv降序显示
order by left(tid,1) desc,uv desc,pv desc

2.2分别满足两个活动的人

SQL进阶day10————多表查询插图(17)

我的垃圾代码:不知道新的值怎么弄

(
    select uid
    from exam_record
    group by 1001
    having score>85
)t


select uid	t.activity
from examination_info ei join exam_record er
on ei.exam_id = er.exam_id

大佬代码:

(select uid,'activity1' as activity
from exam_record er
where year(start_time)='2021'
group by uid
having min(score)>=85)
union ALL
(select uid,'activity2' as activity
from exam_record er left join examination_info ei on er.exam_id=ei.exam_id
where year(start_time)='2021' and ei.difficulty='hard' and score>=80 
and timestampdiff(second,er.start_time,er.submit_time)<= ei.duration*30
group by uid)
order by uid;

复盘:

(1)select uid,‘activity1’ as activity…,这样就把activity这一列就设置出来了。

(2)时间差函数:timestampdiff,如计算差多少分钟,timestampdiff(minute,时间1,时间2),是时间2-时间1,单位是minute。

这里是至少有一次用了一半时间就完成:

完成时间<=考试时长/2 (单位为分钟minute)

完成时间<=考试时长*60/2 =考试时长*30(单位为秒second

timestampdiff(second,er.start_time,er.submit_time)<= ei.duration*30

(3)每次试卷得分都能到85分,相当于最低分min>=85

3连接查询

3.1满足条件的用户的试卷完成数和题目练习数

SQL进阶day10————多表查询插图(18)

我的报错代码:看来不是这么简单粗暴的事情 

select u.uid,
count(er.submit_time) exam_cnt,
count(pr.submit_time) question_cnt
from user_info u join exam_record er
on u.uid = er.uid
join practice_record pr
on pr.uid = u.uid
join examination_info ei
on ei.exam_id = er.exam_id
where year(er.submit_time)='2021'
group by u.uid
having ei.tag = 'SQL'
and ei.difficulty = 'hard'
and u.level = 7
and avg(er.score)>80

正确代码:

# select er.uid as uid,
# count(distinct er.submit_time) as exam_cnt,
# count(distinct pr.submit_time) as question_cnt
select er.uid as uid,
count(distinct er.exam_id) as exam_cnt,
count(distinct pr.id) as question_cnt

from exam_record er 
left join practice_record pr 
on er.uid=pr.uid 
and year(er.submit_time)=2021 
and year(pr.submit_time)=2021

where er.uid in(
        select er.uid
        from exam_record er 
        left join examination_info ei 
        on er.exam_id = ei.exam_id
        left join user_info ui 
        on er.uid = ui.uid 
        where tag='SQL' 
        and difficulty='hard' 
        and level = 7
        group by er.uid
        having avg(score) > 80
        ) 
group by er.uid
order by exam_cnt,question_cnt desc

复盘:

有4个表,很多个条件

(1)先通过子查询中连接,er,ui和ei筛选出高难SQL试卷得分平均值大于80并且是7级的红名大佬(返回用户uid)

SQL进阶day10————多表查询插图(19)

(2) 再统计这些大佬2021年试卷总完成次数,和题目总练习次数

SQL进阶day10————多表查询插图(20)

(3)注意第(2)步中连接是左连接,不应该出现试卷为null,题目不为null的情况!

from exam_record er left join practice_record pr

(4)不懂为什么不能用 er.submit_time, pr.submit_time来计算

# select er.uid as uid,
# count(distinct er.submit_time) as exam_cnt,
# count(distinct pr.submit_time) as question_cnt
select er.uid as uid,
count(distinct er.exam_id) as exam_cnt,
count(distinct pr.id) as question_cnt

3.2 每个6/7级用户活跃情况

SQL进阶day10————多表查询插图(21)

我的错误代码:

总活跃月份数?其他都是2021年的,活跃是啥意思?

select er.uid,
# act_month_total,
count(er.start_time) act_days_2021,
count(er.submit_time) act_days_2021_exam,
count(pr.submit_time) act_days_2021_question
from exam_record er left join practice_record pr
on er.uid=pr.uid
where year(er.submit_time)=2021
and er.uid in
(select uid 
from user_info
where level = 7 or level = 6)
group by er.uid

正确代码

select
    user_info.uid,
    count(distinct act_month) as act_month_total,
    count(
        distinct case
            when year (act_time) = '2021' then act_day
        end
    ) as act_days_2021,
    count(
        distinct case
            when year (act_time) = '2021'
            and tag = 'exam' then act_day
        end
    ) as act_days_2021_exam,
    count(
        distinct case
            when year (act_time) = '2021'
            and tag = 'question' then act_day
        end
    ) as act_days_2021_question
from
    (
        SELECT
            uid,
            exam_id as ans_id,
            start_time as act_time,
            date_format (start_time, '%Y%m') as act_month,
            date_format (start_time, '%Y%m%d') as act_day,
            'exam' as tag
        from
            exam_record
        UNION ALL
        select
            uid,
            question_id as ans_id,
            submit_time as act_time,
            date_format (submit_time, '%Y%m') as act_month,
            date_format (submit_time, '%Y%m%d') as act_day,
            'question' as tag
        from
            practice_record
    ) total
    right join user_info 
    on total.uid = user_info.uid
where
    user_info.level in (6, 7)
group by
    user_info.uid
order by
    act_month_total desc,
    act_days_2021 desc

复盘

(1)case when是关键

(2)2021年活跃天数 = 2021年试卷作答活跃天数 + 2021年答题活跃天数

则 exam as tag 和 practice as tag,自定义一列,为了区分是考试还是练习,便于区别计算

(3)右连接 total     right join user_info      on total.uid = user_info.uid

因为自组合的total表:没有1003

SQL进阶day10————多表查询插图(22)

原本的user_info表:

SQL进阶day10————多表查询插图(23)

但是6/7级的大佬中是有1003的

SQL进阶day10————多表查询插图(24) 

本站无任何商业行为
个人在线分享 » SQL进阶day10————多表查询
E-->