使用数据透视SQL

Question

我需要将多个列转置为一个特定的列SQL（我的实际示例具有多个列和行）。请查看图片以了解到目前为止的详细信息。我还附上了我创建的临时表的完整代码。

我试图单独解决该问题，并创建了两个查询：

• 一种方法是通过并集将所有列堆叠在所需的一个列下（不知道如何创建动态表，因为我的实际示例具有大量数据，并且手动插入并不是最好的主意）；
• 根据条件对数据进行透视，并对总数求和

我不知道如何将查询＃堆栈中新创建的“ columns”列下的所有数据相加，并且不确定是否可能。

---

----created new tables : test and plan test

create table test (
plancode int, 
amount int, 
category varchar (255),
ownership varchar (255),
status varchar (255))

select * from test

insert into test (
plancode, 
amount, 
category,
ownership,
status)
values (5,100,'parttime','simple', 'inprogress')

insert into test (
plancode, 
amount, 
category,
ownership,
status)
values (5,100,'fulltime','simple', 'inprogress')

insert into test (
plancode, 
amount, 
category,
ownership,
status)
values (10,100,'fulltime','simple', 'inprogress')

insert into test (
plancode, 
amount, 
category,
ownership,
status)
values (10,10,'partime','partial', 'complete')

insert into test (
plancode, 
amount, 
category,
ownership,
status)
values (15,100,'seasonal','full', 'complete')

insert into test (
plancode, 
amount, 
category,
ownership,
status)
values (15,200,'partime','simple','complete')

create table plantest (
plancode int,
planname varchar (255))

insert into plantest (
plancode,
planname)
values (5, 'plan A')

insert into plantest (
plancode,
planname)
values (10, 'plan B')

insert into plantest (
plancode,
planname)
values (15, 'plan C')

-----------------------------------------------------------------------------
Temp tables are created below 

select * from test

select * from plantest
________________________________________________________________
This #1 query is for union all. 
select plancode,
category as columns from test
union all
select plancode, ownership from test
union all
select plancode, status from test

此＃2查询用于全部透视。

---pivoting on one of the columns, 'category' but I need to include all the other columns 'ownership' and 'status' right under the last value of 'category' column in this query
select * from (
select 
category,  ---only including one column.. that is why I thought if I stack all data under values here that it should work but right now it is not stacked. 
amount,
plancode 
from test) as tbl 
pivot (sum(amount) for plancode in ([5],[15],[10])) as pivottable