I've got multiple rows in my result from my query:
我的查询结果中有多行:
for example, the table "Address":
例如,表“地址”:
Street | Number | City
----------------------
A1 | A2 | A3
B1 | B2 | B3
What I actually want is:
我真正想要的是:
Address1_Street | Address1_Number | Address1_City | Address2_Street | Address2_Number | Address2_City
------------------------------------------------------------------------------------------------------
A1 | A2 | A3 | B1 | B2 | B3
Anyone who knows how I can achieve this?
谁知道我是怎么做到的?
I've managed to get to this point now (sorry for using other columns, the one above was an example, but I'll guess you'll get the point):
我已经做到了这一点(抱歉用了其他栏目,上面的那篇就是一个例子,但我猜你会明白的):
select distinct
a.ID,
a.Name,
ca1.NameLine1 as Address1_NameLine1,
ca2.NameLine1 as Address2_NameLine1
from
dbo.Accounts a,
dbo.Addresses ca1,
dbo.Addresses ca2
where
(a.ID = ca1.AccountID AND a.ID = ca2.AccountID)
AND (a.Name = 'TEST')
AND (ca1.ID <> ca2.ID)
But I'm still getting 2 rows... where Address1 switches with Address2. Anyone who knows how to only get one? Thanks!
但还是有两行。地址1与地址2交换。谁知道怎么才能得到一个呢?谢谢!
2 个解决方案
#1
4
Try:
试一试:
select ID,
max(Name) Name,
max(case when rn=1 then NameLine1 end) Address1_NameLine1,
max(case when rn=2 then NameLine1 end) Address1_NameLine2
from
(select a.ID,
a.Name,
ca.NameLine1,
rank() over (partition by a.ID order by ca.ID) rn
from dbo.Accounts a
join dbo.Addresses ca on a.ID = ca.AccountID
where a.Name = 'TEST') sq
group by ID
#2
1
select address1.* ,address2.* from
Address address1 inner join on Address address2
on address1.userid=address2.userid
you can choose inner or left join based on data.
您可以根据数据选择内连接或左连接。
#1
4
Try:
试一试:
select ID,
max(Name) Name,
max(case when rn=1 then NameLine1 end) Address1_NameLine1,
max(case when rn=2 then NameLine1 end) Address1_NameLine2
from
(select a.ID,
a.Name,
ca.NameLine1,
rank() over (partition by a.ID order by ca.ID) rn
from dbo.Accounts a
join dbo.Addresses ca on a.ID = ca.AccountID
where a.Name = 'TEST') sq
group by ID
#2
1
select address1.* ,address2.* from
Address address1 inner join on Address address2
on address1.userid=address2.userid
you can choose inner or left join based on data.
您可以根据数据选择内连接或左连接。