SQL Server 2008:将STORED PROCEDURE(动态列)的结果与SELECT语句的结果相结合

Question

我有这个存储过程生成的结果.

我想将这些结果与另一个表中的数据结合起来.我已经看到这样做的各种示例是创建一个临时表并插入其中,但是,这不是理想的,因为存储过程会返回许多可能发生变化的动态列.有没有办法动态加入它们？

示例场景:

存储过程返回此:

EXEC uspGetProductCategories

products_id | products_model | Leather Seats | Heated Seats | Tapedeck | Heater | Hybrid | Sunroof | Cruise Control
===================================================================================================================
100         | Saturn Vue     | N             | N            | Y        | N      | N      | N       | N
200         | Toyota Pruis   | Y             | N            | N        | Y      | Y      | N       | N
300         | Ford Focus     | N             | N            | N        | Y      | N      | N       | Y

我想用SQL查询加入它,生成类似的东西:

SELECT * FROM Products_Detail

products_id | manufacturer | purchaser | pay_type
=================================================
100         | GM           | GREG      | P
200         | TOYT         | SAM       | P
300         | FORD         | GREG      | L

换一种说法...

有没有一种无痛的方法来实现这一目标？这是我想要实现的一些psedo代码(虽然我知道这不起作用):

SELECT pd.*, sp.* FROM Products_Detail pd
    LEFT JOIN uspGetProductCategories sp ON pd.product_id = sp.product_id

同样,我知道你不能这样做,但希望它描述了我正在寻找的逻辑.

示例所需输出

products_id | manufacturer | purchaser | pay_type | products_model | Leather Seats | Heated Seats | Tapedeck | Heater | Hybrid | Sunroof | Cruise Control
=========================================================================================================================================================
100         | GM           | GREG      | P        | Saturn Vue     | N             | N            | Y        | N      | N      | N       | N
200         | TOYT         | SAM       | P        | Toyota Pruis   | Y             | N            | N        | Y      | Y      | N       | N
300         | FORD         | GREG      | L        | Ford Focus     | N             | N            | N        | Y      | N      | N       | Y

Answer 1

如果您无法使用动态存储过程中的数据创建临时表，为什么不直接加入该表：

DECLARE @cols AS NVARCHAR(MAX),
    @colsNull AS NVARCHAR(MAX),
    @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT distinct ',' + QUOTENAME(categories_name) 
                    from Categories
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

select @colsNull = STUFF((SELECT ',IsNull(' + QUOTENAME(categories_name)+', ''N'')'+' as '+QUOTENAME(categories_name) 
                    from Categories
                    group by categories_name, categories_id
                    order by categories_id
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

set @query = '
            select *
            from Products_Detail pd
            left join
            (
              SELECT products_id,
                    products_model,' + @colsNull + ' from 
               (
                  select p.products_id,
                    p.products_model,
                    c.categories_name,
                    ''Y'' flag
                  from products p
                  left join Products_Categories pc
                    on p.products_id = pc.products_id
                  left join Categories c
                    on pc.categories_id = c.categories_id
              ) x
              pivot 
              (
                  max(flag)
                  for categories_name in (' + @cols + ')
              ) p 
            ) p 
              on pd.products_id = p.products_id'

execute(@query)

请参阅SQL Fiddle 演示