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1.查找用户最近一次登录的日期
错解:select user.name as u_n,client.name as c_n,max(login.date)
from login
left join user
on login.id=user.id
left join client
on login.id=client.id
group by login.user_id
order by user.name
错因分析:select是基于group by 得到的数据进行查询,select只能包含group by后的项与聚合函数,group by的数据范围>=select的数据范围
正解:select user.name as u_n,client.name as c_n,login.date
from login
left join user
on login.user_id=user.id
left join client
on login.client_id=client.id
where (login.user_id,login.date) in (select user_id,max(date) from login group by login.user_id)
order by user.name
2.统计每个日期登录的新用户个数
法一:select date,count(b.user_id)as new
from (select distinct date from login)a
left join (select user_id,min(date)first_date from login group by user_id)b
on a.date=b.first_date
group by a.date
order by a.date
先对login表中的日期去重,
再左联接新用户登录日期表,筛选条件为日期
法二:select t.date,sum(case when t.r_rank=1 then 1 else 0 end)as new
from
(select date,row_number()over(partition by user_id order by date)as r_rank
from login)t
group by date
提取出日期并利用窗口函数对日期排序,利用case when条件筛选出新用户个数
3.计算新用户的次日留存率
select round(count(b.user_id)/count(a.user_id),3)as p
from
(select user_id,min(date)as first_date from login group by user_id) a
left join
(select user_id,date from login group by user_id) b
on a.user_id=b.user_id and b.date=date_add(a.first_date,interval 1 day)
思路分析:先查询新用户放入表格1中,
再将表格1与原表联接,筛选条件为日期,查询得第二天登录的新用户
4.删除重复行
错解:delete from sale
where user_id not in
(select max(user_id)as user
from sale
group by user_id,order_id,event_time,product_id
having count(user_id)>1)t;
分析:更新这个表的同时又查询了这个表,查询这个表的同时又去更新了这个表,可以理解为死锁。mysql不支持这种更新查询同一张表的操作
解决办法:把要更新的几列数据查询出来做为一个第三方表,然后筛选更新。
delete from sale
where user_id not in
(select t.user
from
(select max(user_id)as user
from sale
group by user_id,order_id,event_time,product_id
having count(user_id)>1)t );
5.已知每个用户每天的刷题数量,计算“截止到某日期,每个用户的刷题数量”
用窗口函数按姓名分区日期排序计算累计数
sum(number)over(partition by user_id order by date)
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