我得到了一个事件日志表,该表捕获了所有用户的状态变化,例如状态A,状态B和状态C。他们可以随时更改它。如何获取每个日末(从事件日志表中的最早日期到最后一天)处于每种状态的用户数量的快照
感谢有人可以通过PostsgreSQL向我展示如何做到这一点。谢谢!
编辑:事件日志表捕获每个用户的一堆事件(其中一个是状态更改),log_id记录该特定用户的事件日志的顺序。
user_id | log_time | status | event_A | log_id |
----------------------------------------------------------
456 | 2019-01-05 15:00 | C | | 5 |
123 | 2019-01-05 14:00 | C | | 4 |
123 | 2019-01-05 13:00 | | xxx | 3 |
456 | 2019-01-04 22:00 | B | | 4 |
456 | 2019-01-04 10:00 | C | xxx | 3 |
987 | 2019-01-04 05:00 | C | | 3 |
123 | 2019-01-03 23:00 | B | | 2 |
987 | 2019-01-03 15:00 | | xxx | 2 |
456 | 2019-01-02 22:00 | A | xxx | 2 |
123 | 2019-01-01 23:00 | C | | 1 |
456 | 2019-01-01 09:00 | B | xxx | 1 |
987 | 2019-01-01 04:00 | A | | 1 |
因此,我想在一天结束时获取每种状态下的用户总数:
Date | status A | status B | status C |
---------------------------------------------
2019-01-05 | 0 | 0 | 3 |
2019-01-04 | 0 | 2 | 1 |
2019-01-03 | 2 | 1 | 0 |
2019-01-02 | 2 | 0 | 1 |
2019-01-01 | 1 | 1 | 1 |
答案 0 :(得分:1)
这很安静,很难做到:)。我试图对子查询进行分段以提高可读性。也许这不是一种非常有效的方法,但可以完成工作。
-- collect all days to make sure there are no missing days
WITH all_days_cte(dt) as (
SELECT
generate_series(
(SELECT min(date_trunc('day', log_time)) from your_table),
(SELECT max(date_trunc('day', log_time)) from your_table),
'1 day'
)::DATE
),
-- collect all useres
all_users_cte as (
select distinct
user_id
from your_table
),
-- setup the table with infos needed, i.e. only the last status by day and user_id
infos_to_aggregate_cte as (
select
s.user_id,
s.dt,
s.status
from (
select
user_id,
date_trunc('day', log_time)::DATE as dt,
status,
row_number() over (partition by user_id, date_trunc('day', log_time) order by log_time desc) rn
from your_table
where status is not null
) s
-- only the last status of the day
where s.rn = 1
),
-- now we still have a problem, we need to find the last status, if there was no change on a day
completed_infos_cte as (
select
u.user_id,
d.dt,
-- not very efficient, but found no other way (first_value(...) would be nice, but there is no simple way to exclude nulls
(select
status
from infos_to_aggregate_cte i2
where i2.user_id = u.user_id
and i2.dt <= d.dt
and i2.status is not null
order by i2.dt desc
limit 1) status
from all_days_cte d
-- cross product for all dates and users (that is what we need for our aggregation)
cross join all_users_cte u
left outer join infos_to_aggregate_cte i on u.user_id = i.user_id
and d.dt = i.dt
)
select
c.dt,
sum(case when status = 'A' then 1 else 0 end) status_a,
sum(case when status = 'B' then 1 else 0 end) status_b,
sum(case when status = 'C' then 1 else 0 end) status_c
from completed_infos_cte c
group by c.dt
order by c.dt desc