首先我有一张付款表,相关数据看起来像这样
id | price | type | ts
------ | -------|----------|---------------------------
1 | 50 | Payment | 2016-06-24 16:01:00.000000
2 | 15 | Payment | 2016-06-24 16:02:00.000000
3 | 5 | Refund | 2016-06-24 16:03:00.000000
4 | 10 | Payment | 2016-06-24 16:04:00.000000
5 | 20 | Payment | 2016-06-24 16:05:00.000000
6 | 40 | Withdraw | 2016-06-24 16:06:00.000000
7 | 30 | Withdraw | 2016-06-24 16:07:00.000000
8 | 15 | Payment | 2016-06-24 16:08:00.000000
9 | 25 | Payment | 2016-06-24 16:09:00.000000
我想要的是折叠所有行类型='付款'为了形式的总和,开始和结束时期,所有其他必须是相同的,所以结果看起来像这样
id | price | type | begin | end
------ | -------|----------|---------------------------|---------------------------
null | 65 | Payment | 2016-06-24 16:01:00.000000| 2016-06-24 16:02:00.000000
3 | 5 | Refund | 2016-06-24 16:03:00.000000|
null | 30 | Payment | 2016-06-24 16:04:00.000000| 2016-06-24 16:05:00.000000
6 | 40 | Withdraw | 2016-06-24 16:06:00.000000|
7 | 30 | Withdraw | 2016-06-24 16:07:00.000000|
null | 40 | Payment | 2016-06-24 16:08:00.000000| 2016-06-24 16:09:00.000000
如果它有一些标志,如行被分组,并支持限制最终结果
,它也会很有用现在我停止尝试row_number,分组依据,滞后等,无法找到正确的方法
UPD :链接到sql小提示工作结果http://sqlfiddle.com/#!15/3cfea/1/0
答案 0 :(得分:2)
这有点棘手。您可以使用行数技巧的差异来获取付款的组。然后,您可以使用case
仅将其应用于付款本身(而不是其他值)。这看起来像:
select (case when type <> 'payment' then id) as id,
sum(price) as price,
min(type) as type,
min(ts) as begin,
max(case when type = 'payment' then ts end) as end
from (select t.*,
(row_number() over (order by id) -
row_number() over (partition by type order by id)
) as grp
from t
) t
group by (case when type = 'payment' then grp end),
(case when type <> 'payment' then id end);