问题
I want to get same output:

using the following sample data
create table x
(
id int,
date datetime,
stat int
)
insert into x
values (1, '2017-01-01', 100), (1, '2017-01-03', 100), (1, '2017-01-05', 100),
(1, '2017-01-07', 150), (1, '2017-01-09', 150), (1, '2017-02-01', 150),
(1, '2017-02-02', 100), (1, '2017-02-12', 100), (1, '2017-02-15', 100),
(1, '2017-02-17', 150), (1, '2017-03-09', 150), (1, '2017-03-11', 150),
(2, '2017-01-01', 100), (2, '2017-01-03', 100), (2, '2017-01-05', 100),
(2, '2017-01-07', 150), (2, '2017-01-09', 150), (2, '2017-02-01', 150),
(2, '2017-02-02', 100), (2, '2017-02-12', 100), (2, '2017-02-15', 100),
(2, '2017-02-17', 150), (2, '2017-03-09', 150), (2, '2017-03-11', 150)
I tried to use something like this
with a as
(
select
id, date,
ROW_NUMBER() over (partition by date order by id) as rowNum
from
x
), b as
(
select
id, date,
ROW_NUMBER() over (partition by id, stat order by date) as rowNum
from
x
)
select min(b.date)
from a
join b on b.id = a.id
having max(a.date) > max(b.date)
回答1:
What you are looking for is a gaps-and-islands scenario, where you only have islands. In this scenario what defines the start of an island is a change in the stat
value within a id
, while evaluating the dataset in date
order.
The lag window function is used below to compare values across rows, and see if you need to include it in the output.
select b.id
, b.stat
, b.date
from (
select a.id
, a.date
, a.stat
, case lag(a.stat,1,NULL) over (partition by a.id order by a.date asc) when a.stat then 0 else 1 end as include_flag
from x as a
) as b
where b.include_flag = 1
来源:https://stackoverflow.com/questions/48735559/how-to-retrieve-only-the-records-where-stat-changes