SQL Server 将多行合二为一 [英] SQL Server combine multiple rows into one

问题描述

我想将多行合并成单行

Inv_ID = 188、198和82的客户端应该合并为一行

The client with Inv_ID = 188, 198 and 82 should be merged into one row

结果应该有两行..

ClientID | Input(188) | Input(198 | Input(82)             |Date(188)         |Date (198)
--------------------------------------------------------------------
133      | Yes        | yes       | Referred to comm Pres | 2016-08-16 01:00 | 2016-8-01
133      | yes        | yes       | Referred to comm Pres | 2016-08-17 00:00 | 2016-08-17

有人可以帮我吗?

谢谢.

推荐答案

我认为解决这个问题的关键是了解 188,198 和 88s 属于哪个块.在下面的 cte 中，我工作的基础是 88 总是终止一个块，并将 88 的 rowid 分配给所有小于它的 rowid - 从而启用分组.

I think the key to this is understanding which blocks the 188,198 and 88s fall into. In the cte below i am working on the basis that an 88 always terminates a block and am assigning the rowid of the 88 to all rowids less than it - thus enabling the group by.

declare @t table(client_id int, m_id int,chid int,inv_id int,input varchar(20),dt datetime,rowid int)
insert into @t values
(133,928,9581,188,'yes_b1','2016-08-16 01:00:00:000',1),
(133,929,9581,198,'yes_b1','2016-08-16 01:10:00:000',2),
(133,930,9581,82,'referred_b1','2016-08-16 01:30:00:000',3),
(133,935,9584,188,'yes_b2','2016-08-16 01:00:00:000',5),
(133,936,9584,198,'yes_b2','2016-08-16 01:00:00:000',6),
(133,937,9584,82,'referred_b2','2016-08-16 01:00:00:000',7)

;with cte as
(
select s.*,
        lag(s.hi,1,0) over (order by s.inv_id) as lo 
from
(
select  inv_id,rowid as hi
from @t
where inv_id = 82
)s
)
select t.client_id,
        max(case when t.inv_id = 188 then input end) 'input(188)',
        max(case when t.inv_id = 198 then input end) 'input(198)',
        max(case when t.inv_id = 82  then input end) 'input(82)',
        max(case when t.inv_id = 188 then dt end) 'date(188)',
        max(case when t.inv_id = 198 then dt end) 'date(198)',
        max(case when t.inv_id = 82  then dt end) 'date(82)' 
from @t t
join cte on rowid <= cte.hi and rowid > cte.lo
group by client_id,cte.hi

结果

client_id   input(188)           input(198)           input(82)            date(188)               date(198)               date(82)
----------- -------------------- -------------------- -------------------- ----------------------- ----------------------- -----------------------
        133 yes_b1               yes_b1               referred_b1          2016-08-16 01:00:00.000 2016-08-16 01:10:00.000 2016-08-16 01:30:00.000
        133 yes_b2               yes_b2               referred_b2          2016-08-16 01:00:00.000 2016-08-16 01:00:00.000 2016-08-16 01:00:00.000

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