本文基于前段时间学习总结的 MySQL 相关的查询语法,在牛客网找了相应的 MySQL 题目进行练习,以便加强对于 MySQL 查询语法的理解和应用。
以下内容是牛客题霸-SQL入门篇剩余的第 21-39 道题目的 SQL 代码答案。
由于涉及到的数据库表较多,因此本文不再展示,只提供 MySQL 代码与示例输出。
部分题目因为较难,难以独立做出,故附上题目解法讨论的链接供大家参考。
SQL 题目
SQL 21:查询所有来自浙江大学的用户题目回答明细情况
select qpd.device_id, question_id, result
from question_practice_detail qpd
join user_profile up
on qpd.device_id = up.device_id
where up.university = '浙江大学'
SQL 22:查询每个学校用户的平均答题数目
select university, count(question_id)/count(distinct(up.device_id)) as avg_answer_cnt
from question_practice_detail qpd
join user_profile up
on qpd.device_id = up.device_id
group by university
SQL 23:查询不同学校、不同难度的用户平均答题量
select university, difficult_level, count(qpd.question_id)/count(distinct(qpd.device_id)) as avg_answer_cnt
from user_profile up
join question_practice_detail qpd
on up.device_id = qpd.device_id
join question_detail qd
on qpd.question_id = qd.question_id
group by university, difficult_level
SQL 24:查询山东大学中不同难度的用户平均答题量
from user_profile up
join question_practice_detail qpd
on up.device_id = qpd.device_id
join question_detail qd
on qpd.question_id = qd.question_id
group by university, difficult_level
having university = '山东大学'
SQL 25:查询学校为山东大学或者性别为男性的用户的 device_id、gender、age 和 gpa 数据(结果不去重)
select device_id, gender, age, gpa from user_profile
where university = "山东大学"
union all
select device_id, gender, age, gpa from user_profile
where gender = "male"
SQL 26:查询 25 岁以下和以上的用户数量,age 为 null 也记为 25岁以下
select if(age < 25 or age is null, '25岁以下', '25岁及以上') as age_cut,
count(*) as number
from user_profile
group by age_cut
SQL 27:查询 20 岁以下,20-24 岁,25 岁及以上三个年龄段用户的明细情况(若年龄为空请返回其他)
select device_id, gender,
if(age < 20, '20岁以下', if(age between 20 and 24, '20-24岁', if(age >= 25, '25岁及以上', '其他'))) as age_cut
from user_profile
SQL 28:查询 2021 年 8 月每天用户练习题目的数量
select day(date) as day, count(question_id)
from question_practice_detail
where year(date) = 2021 and month(date) = 8
group by day
SQL 29:查询用户在某天刷题后第二天还会再来刷题的平均概率(平均次日留存率,难点)
select count(distinct q2.device_id, q2.date)/count(distinct q1.device_id, q1.date) as avg_ret
from question_practice_detail q1
left join question_practice_detail q2
on q1.device_id=q2.device_id and datediff(q2.date,q1.date) = 1
链接:SQL 29 题目解法讨论
SQL 30:查询每个性别的用户分别有多少参赛者
select if(profile like '%female%', 'female', 'male') as gender,
count(*) as number
from user_submit
group by gender
SQL 31:查询博客 URL 中的用户名
select device_id, substr(blog_url, 11) as user_name
from user_submit
SQL 32:查询每个年龄的用户分别有多少参赛者
select substr(profile,12,2) as age, count(*)
FROM user_submit
group by age
SQL 33:查询每个学校 GPA 最低的同学
select device_id, u1.university, u1.gpa
from user_profile u1
join(
select university, min(gpa) as gpa from user_profile
group by university
) u2
on u1.university = u2.university and u1.gpa = u2.gpa
order by u1.university
SQL 34:查询复旦大学的每个用户在 8 月份练习的总题目数和回答正确的题目数,对于在 8 月份没有练习过的用户,结果返回 0(难点)
select u.device_id, university, count(q.question_id) as question_cnt,
sum(if(result = "right", 1, 0)) as right_question_cnt
from user_profile u
left join question_practice_detail q
on u.device_id = q.device_id
where university = '复旦大学' and (month(date) = 8 or date is null)
group by u.device_id
链接:SQL 34 题目解法讨论
SQL 35:查询浙江大学的用户在不同难度题目下答题的正确率情况,并按照准确率升序输出
select difficult_level, sum(if(result = "right", 1, 0))/count(qpd.result) as correct_rate
from user_profile u
join question_practice_detail qpd
on u.device_id = qpd.device_id
join question_detail qd
on qpd.question_id = qd.question_id
where university = '浙江大学'
group by difficult_level
order by correct_rate
SQL 36:查询用户信息表中的 device_id 和 age ,并按照 age 升序排序
select device_id, age from user_profile
order by age
SQL 37:查询用户信息表中的device_id,age 和 gpa,先按照 gpa 升序排序,再按照年龄升序排序
select device_id, gpa, age from user_profile
order by gpa, age
SQL 38:查询用户信息表中的 age 和 gpa,先按照 gpa 降序排序,再按照 age 降序排序
select device_id, gpa, age from user_profile
order by gpa desc, age desc
SQL 39:查询 2021 年 8 月份所有练习过题目的总用户数和练习过题目的总次数
select count(distinct device_id) as did_cnt,
count(question_id) as question_cnt
from question_practice_detail
where year(date) = 2021 and month(date) = 8