我想获得相同的输出:
使用以下示例数据
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)
我试过用这样的东西
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)
答案 0 :(得分:1)
您正在寻找的是gaps-and-islands场景,您只有岛屿。在这种情况下,定义岛屿起点的是stat
中id
值的变化,同时以date
顺序评估数据集。
下面使用lag
窗口函数比较各行的值,看看是否需要将它包含在输出中。
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