我有3张桌子:
create table users
(
user_id varchar(50),
birth_year int,
country varchar(50)
)
create table notifications
(
status varchar(50),
user_id varchar(50),
created_date datetime
)
create table transactions
(
transaction_id varchar(50),
user_id varchar(50),
created_date datetime
)
[我想做的是让收到通知的所有用户,通知到达前7天与通知之后7天的平均交易额有何不同按国家和年龄段到达。
我做了以下工作:
select q.country
, case when q.age <= 18 then '<= 18'
when q.age <= 30 then '19 - 30'
when q.age <= 45 then '31 - 45'
when q.age <= 60 then '46 - 60'
else '> 60' end as age_group
, AVG(q.prev_transactions*1.0) as avg_prev_transactions, AVG(q.post_transactions*1.0) as avg_post_transactions
from (
select n.user_id, n.created_date, u.country, (2019 - u.birth_year) as age
, count(distinct prev.transaction_id) as prev_transactions, count(distinct post.transaction_id) as post_transactions
from notifications n
left outer join transactions post on n.user_id = post.user_id and post.created_date > n.created_date and post.created_date < n.created_date + interval '7' day
left outer join transactions prev on n.user_id = prev.user_id and prev.created_date < n.created_date and prev.created_date > n.created_date - interval '7' day
left outer join users u on u.user_id = n.user_id
where status = 'SENT'
group by n.user_id, n.created_date, u.country, (2019 - u.birth_year)
--order by n.user_id asc, n.created_date asc
) as q
group by q.country, case when q.age <= 18 then '<= 18'
when q.age <= 30 then '19 - 30'
when q.age <= 45 then '31 - 45'
when q.age <= 60 then '46 - 60'
else '> 60' end
我想知道是否有办法提高效率。
谢谢
select n.user_id, n.created_date, u.country, (2019 - u.birth_year) as age,
(select count(*) from transactions post on n.user_id = post.user_id and post.created_date > n.created_date and post.created_date < n.created_date + interval '7' day) as post_transactions,
...
而且,为什么左派反对用户?对于没有用户的通知,可以获得什么可能有意义的输出?