SQL进阶挑战
聚合分组查询
SQL123
select tag, difficulty, round((sum(score) - max(score) - min(score) ) / (count(score) - 2) ,1)
as clip_avg_score
from examination_info as ei, exam_record as er
where ei.exam_id = er.exam_id
and ei.tag = 'SQL'
and ei.difficulty = 'hard'
and er.score is not null;
SQL124
IF(expr1 , expr2 , expr3)，expr1的值为TRUE 返回 expr2，否则返回 expr3
使用 distinct 是需要考虑 null 的，它会把 null 也算成一种情况
但是使用 count(字段) 是不用考虑 null 的，它不会计 null 为一种情况
select count(id) as total_pv,
count(submit_time) as complete_pv,
count(distinct if(submit_time is not null, exam_id, null)) as complete_exam_cnt
from exam_record
select count(id) as total_pv,
count(submit_time) as complete_pv,
count(distinct exam_id and score is not null) as complete_exam_cnt
from exam_record
SQL125
# 这样写为什么就错？
select min(score) as min_score_over_avg
from exam_record #这样写没有保证查询的试卷类型是SQL
where score >= (select avg(score)from exam_record as er , examination_info as eiwhere ei.tag = 'SQL'and ei.exam_id = er.exam_idand er.score is not null
);
# correct
select min(score) as min_score_over_avg
from exam_record as er , examination_info as ei
where ei.tag = 'SQL'
and ei.exam_id = er.exam_id
and er.score is not null
and score >= (select avg(score)from exam_record as erwhere er.exam_id = ei.exam_idand er.score is not null
);
SQL126
题目：按年月进行分组，统计每组的用户id个数（也就是这个月有多少活跃用户），统计每组的用户活跃天数的平均值（总天数/总人数）
总天数计算方法： ∑ i = 1 i = l a s t − u s e r 第 i 个用户一个月内的登录天数之和 \sum_{i=1}^{i=last-user} 第i个用户一个月内的登录天数之和 ∑i=1i=last−user第i个用户一个月内的登录天数之和
DATE_FORMAT(date,fmt) 按照字符串 fmt 格式化日期 date 值
YEAR(date) / MONTH(date) / DAY(date) 返回具体的日期值
count( distinct uid, date_format(submit_time, '%y%m%d') )，这里的知识点：count函数内本只能接收一个参数，distinct 修饰是所有字段的，并不是修饰一个字段
语句含义：去掉一个用户在一天内的多次登录计数的重复计数，保证如果同一用户在同一天进行了多次活动，只有一次会被计数。
select date_format(submit_time, '%Y%m') as month, # %Y四位年份，%m两位数字月份round( count(distinct uid, date_format(submit_time, '%y%m%d') ) / count(distinct uid) , 2) as avg_active_days,count(distinct uid) as mau #统计组内不同用户id数量
from exam_record
where submit_time is not null
and year(submit_time) = 2021
group by date_format(submit_time, '%Y%m') # 按照年月分组
SQL127
select date_format(submit_time, '%Y%m') as submit_month,count(distinct uid, submit_time) as month_q_cnt,round(count(distinct uid, submit_time) / max(DAY(LAST_DAY(submit_time))) #这里必须用一个聚合函数，由于汇总时的天数按31算，因此用max最为合适，day+lasy_day一起得到当月的天数, 3) as avg_day_q_cnt
from practice_record
where year(submit_time) = '2021' #过滤字段写到分组前
group by submit_monthunionselect '2021汇总' as submit_month,
count(distinct uid, submit_time) as month_q_cnt,
round(count(distinct uid, submit_time) / 31, 3) as avg_day_q_cnt
from practice_record
where year(submit_time) = '2021'order by submit_month;
COALESCE 是一个函数，coalesce (expression_1, expression_2, …,expression_n) ，依次检验，返回第一个不是 null 的值
MySQL5.7之后，sql_mode中ONLY_FULL_GROUP_BY模式默认设置为打开状态。
ONLY_FULL_GROUP_BY的语义就是确定select target list中的所有列的值都是明确语义，因此这里的coalesce是不好使的，可以通过any_value()函数来抑制ONLY_FULL_GROUP_BY值被拒绝，any_value()会选择被分到同一组的数据里第一条数据的指定列值作为返回数据
GROUP BY中使用WITH ROLLUP
WITH ROLLUP，使用 WITH ROLLUP 关键字之后，在所有查询出的分组记录之后增加一条记录，该记录计算查询出的所有记录的总和
注意：当使用ROLLUP时，不能同时使用ORDER BY子句进行结果排序，即ROLLUP和ORDER BY是互相排斥的。
SELECTany_value(coalesce(DATE_FORMAT(submit_time,"%Y%m"),'2021汇总')) as submit_month,count(submit_time) as month_q_cnt,# 因为汇总除的数也是31，因此这里取max聚合round(count(submit_time) / max(day(last_day(submit_time))),3) as avg_day_q_cnt
FROM practice_record
WHERE year(submit_time) = '2021'
GROUP BY date_format(submit_time,"%Y%m") with rollup;
SQL 128
使用 count() 函数实现条件统计的基础是：对于值为NULL的记录不计数，利用这个性质我们可以轻松统计出值不为 NULL 的记录，再统计总记录，即可得到值为 NULL 的记录。
# 统计num大于200的记录
select count(num > 200 or null) from a;
# or null 作用就是当条件不满足时，函数变成了count(null)不会统计数量
# 但是 num > 200 这个条件不成立时的 false 是会被统计到的
GROUP_CONCAT() 函数是mysql中非常实用的聚合函数，将给分组内的值连接为一个字符串。其完整语法：
GROUP_CONCAT([DISTINCT] 要连接的字段 [ORDER BY 排序字段 ASC/DESC] [SEPARATOR ‘分隔符’])
select uid,count(uid) - count(submit_time) as incomplete_cnt,count(submit_time) as complete_cnt,group_concat(distinct date_format(start_time, '%Y-%m-%d'), ':', tagOrder BY start_time ASC #排序字段SEPARATOR ';') as detail
from exam_record as er
inner join examination_info as ei
on er.exam_id = ei.exam_id
where year(start_time) = '2021' #过滤字段写到分组前
group by uid
having incomplete_cnt < 5 and incomplete_cnt > 1
and complete_cnt >= 1
order by incomplete_cnt desc;
多表查询
SQL 129
先考虑简单的，找出 “当月均完成试卷数”不小于3的用户们，然后按 tag 分组统计存在 start_time 的作答记录个数即可
select tag, count(start_time) as tag_cnt
from examination_info as ei
inner join exam_record as er
on ei.exam_id = er.exam_id
where uid in (select uidfrom exam_record as erinner join examination_info as eion er.exam_id = ei.exam_idgroup by uid, date_format(start_time, '%Y%m')having count(date_format(submit_time, '%Y%m')) >= 3
)
group by tag
order by tag_cnt desc;
SQL 130
select ei.exam_id as exam_id,count(distinct uid) as uv,# round(avg(score) ,1) as avg_scoreround(sum(score) / count(score) , 1) as avg_score
from examination_info as ei
inner join exam_record as er
on ei.exam_id = er.exam_id
where date_format(start_time, '%Y%m%d') in ( # 时间select date_format(release_time, '%Y%m%d') # 先弄出SQL试卷的发出的时间字段from examination_infowhere tag = 'SQL'
)
and uid in ( # 用户select uid # 再弄出等级大于5的用户的uidfrom user_infowhere level > 5
)
and tag = 'SQL' # SQL试卷
group by ei.exam_id #所有的SQL试卷按exam_id分组
order by uv desc, avg_score;
SQL 131
select level, count(level) as level_cnt
from user_info as ui, (select uidfrom exam_record as erinner join examination_info as eion er.exam_id = ei.exam_idwhere tag = 'SQL' && score > 80
) as tmp
where ui.uid = tmp.uid
group by level
order by level_cnt desc;
SQL 132
再套一个 select 来使得子查询的排序独立
select * from (
select exam_id as tid, count(distinct uid) as uv,count(start_time) as pv
from exam_record
group by exam_id
order by uv desc, pv desc
) as t1unionselect * from (
select question_id as tid,count(distinct uid) as uv,count(submit_time) as pv
from practice_record
group by question_id
order by uv desc, pv desc
) as t2
SQL 133
TIME_TO_SEC() 将时间差转换为秒
select uid, 'activity1' as activity
from exam_record
group by uid
having min(score) >= 85unionselect uid, 'activity2' as activity
from examination_info as ei
inner join exam_record as er
on er.exam_id = ei.exam_id
where score > 80
and difficulty = 'hard'
and TIME_TO_SEC(timediff(submit_time, start_time)) < duration * 30order by uid;
其他操作
SQL 146
select uid,floor(avg(any_value(coalesce(score, 0)))) as avg_score,round(avg(if(submit_time is not null, timestampdiff(minute, start_time, submit_time), duration)), 1) as avg_time_took
from examination_info as ei
inner join exam_record as er
on ei.exam_id = er.exam_id
where difficulty = 'hard'
and uid in (select uidfrom user_infowhere level = 0
)
group by uid
SQL 147
select uid, nick_name, achievement
from user_info
where nick_name like '牛客%'
and nick_name like '%号'
and achievement between 1200 and 2500
and uid in (select uidfrom exam_recordgroup by uidhaving max(date_format(start_time, '%Y%m')) = '202109'union select uidfrom practice_recordgroup by uidhaving max(date_format(submit_time, '%Y%m')) = '202109'
)
select uid, nick_name, achievement
from user_info
where nick_name like '牛客%'
and nick_name like '%号'
and achievement between 1200 and 2500
and (uid in(select uidfrom exam_recordgroup by uidhaving max(date_format(start_time, '%Y%m')) = '202109')or uid in(select uidfrom practice_recordgroup by uidhaving max(date_format(submit_time, '%Y%m')) = '202109')
)
SQL 148（正则表达式）
用正则表达式匹配纯数字或者中间纯数字
select uid, er.exam_id,round(avg(score) ,0) as avg_score
from examination_info as ei
inner join exam_record as er
on ei.exam_id = er.exam_id
where uid in (select uidfrom user_infowhere nick_name regexp '^牛客[0-9]+号$'or nick_name regexp '^[0-9]+$'
)
and ei.exam_id in (select exam_idfrom examination_infowhere tag regexp '^[Cc]'
)
and score is not null
group by uid, exam_id
order by uid, avg_score
SQL 149（WITH AS）
比较复杂的一个题，需要用 WITH AS 存一下查询
with t as (select ui.uid as uid,count(start_time) - count(submit_time) as incomplete_cnt,round(if(count(start_time) - count(submit_time) > 0,(count(start_time) - count(submit_time)) / count(start_time),0),3) as incomplete_rate,level,count(start_time) as total_cnt # 作答个数from user_info as uileft join exam_record as eron ui.uid = er.uidgroup by uid
)select uid, incomplete_cnt, incomplete_rate
from t
where exists(select uid from t where level = 0 and incomplete_cnt > 2
)
and level = 0
union
select uid, incomplete_cnt, incomplete_rate
from t
where not exists (select uid from t where level = 0 and incomplete_cnt > 2
)
and total_cnt > 0 # 有作答记录的用户
order by incomplete_rate
SQL150（CASE WHEN THEN）
很烂但有用的代码
select ui.level,case when score >= 90 then '优'when score >= 75 then '良'when score >= 60 then '中'when score >= 0 then '差' end as score_grade,round(count( case when score >= 90 then '优'when score >= 75 then '良'when score >= 60 then '中'when score >= 0 then '差' end) / num, 3) as ratio
from exam_record as er, user_info as ui, (select level, count(level) as numfrom exam_record as erinner join user_info as uion er.uid = ui.uidwhere score is not nullgroup by levelorder by level desc
) as tmp
where er.uid = ui.uid
and tmp.level = ui.level
and score is not null
group by level, score_grade
order by level desc, ratio desc
SQL 152
select er.uid, level, register_time, score as max_score
from exam_record as er
inner join user_info as ui
on er.uid = ui.uid
where exam_id in ( # 把exam_record筛的只剩下job为算法的人做的算法试卷记录select exam_idfrom examination_infowhere tag = '算法'
)
and er.uid in (select uidfrom user_infowhere job = '算法'
)
and score is not null # 还得做完
order by score desc
limit 6, 3;
SQL 153（substring_index）
substring_index(str,delim,count)，str：要处理的字符串，delm：分隔符
SELECT exam_id,substring_index(tag, ',', 1) AS tag,substring_index(substring_index(tag, ',', 2), ',', -1) AS difficulty,substring_index(tag, ',', -1) AS duration
FROM examination_info
WHERE tag LIKE '%,%';
SQL 154（IF）
简单的 IF 应用
select uid, (if(char_length(nick_name) > 13, concat(substring(nick_name, 1, 10), '...'),nick_name)
) as nick_name
from user_info
where char_length(nick_name) > 10;
SQL 155
这个题写的我脑子有点乱
select t1.tag, t2.total_num
from (select tag, num # 查询试卷作答数小于3的exam_id对应的tag和个数from examination_info as ei, ( select exam_id, count(exam_id) as num #按exam_id分组，并统计个数from exam_recordgroup by exam_id) as tmpwhere ei.exam_id = tmp.exam_id # 多表查询and num < 3
) as t1, (select tag, sum(num) as total_num #按tag分类，把大写的tag聚合起来统计个数from examination_info as ei, (select exam_id, count(exam_id) as numfrom exam_recordgroup by exam_id) as tmpwhere ei.exam_id = tmp.exam_idgroup by tag
) as t2
where upper(t1.tag) = t2.tag # 小写的t1.tag匹配大写的t2.tag
and t1.tag != t2.tag
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