如何解决将各项加在一起，但分别计算，组和子组？
我希望将每个月的项目对（顶部+基本）的总和金额总计，而仅将该对计算为1个单位。似乎很容易吧？
唯一的缺点是单个底座可以与多个顶部（多个零件编号）配对，并且这些收入需要在每个不同顶部（零件编号）上分组。
1000T底座可搭配顶部052和952。 9000T底座可以搭配顶部087和787。
销售订单表：
order_num | part_num | month | quantity | revenue
01 052 January 1 4000
01 1000T January 1 2000
02 052 January 1 4000
02 1000T January 1 2000
03 087 January 1 5000
03 9000T January 1 2500
04 087 January 1 5000
04 9000T January 1 2500
05 787 February 1 5500
05 9000T February 1 2500
06 952 January 1 3000
06 1000T January 1 2000
我需要：
part_num | month | quantity | revenue
052 January 2 12000
952 January 1 5000
087 January 2 15000
787 January 0 0
787 February 1 8000
如果我在part_num上分组，那么我的基础将从顶部分开。我无法总结销售订单，因为某些销售订单包含不同的产品（尽管此处不是我的示例）。当他们的销售订单编号匹配时，我需要对top + base组合的每次出现求和，对吗？我可以在excel中做一些等效的SUMPRODUCT来获得组合的数组，然后对它们求和吗？感谢您的帮助。
解决方法
样本数据
为了方便按时间顺序排序，我将月份更改为整数。
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解决方案
因为您还希望月销售额为零，所以从两个常用表表达式（declare @SalesOrder table
(
num nvarchar(2),prt nvarchar(5),mth int,qty int,rev int
);
insert into @SalesOrder (num,prt,mth,qty,rev) values
('01','052',1,4000),('01','1000T',2000),('02',('03','087',5000),'9000T',2500),('04',('05','787',2,5500),('06','952',3000),2000);
和cte_topPrt）中分别提取数据中的前半部分和前半个月，然后将它们组合在一起以得到全部组合。
cte_mth结果
这里的行比您所描述的输出要多，但是您没有提供任何条件来对结果行进行过滤或排序。
with cte_topPrt as -- collect all top parts
(
select distinct so.prt
from @SalesOrder so
where right(so.prt,1) <> 'T'
),cte_mth as -- collect all months (because you also want to see months with 0 sales)
(
select distinct so.mth
from @SalesOrder so
)
select tp.prt as [part_num],m.mth as [month],coalesce(sum(case when so_tp.prt = so_c.prt then so_tp.qty else 0 end),0) as [quantity],coalesce(sum(so_c.rev),0) as [revenue]
from cte_topPrt tp
cross join cte_mth m
left join @SalesOrder so_tp -- sales order top part
on so_tp.prt = tp.prt
and so_tp.mth = m.mth
left join @SalesOrder so_c -- sales order complete
on so_c.num = so_tp.num
group by tp.prt,m.mth
order by m.mth,tp.prt;
这将从匹配的顶部和底部获得数量和收入。如果订单上还有其他内容，这很重要。
;
with SalesOrder as (
select order_num,part_num,[month],quantity,revenue
from (
values ('01','January','44',20000),'February',2000)
) as so(
order_num,revenue
)
),tops as (
select part_num,base_part_num
from (
values ('052','1000T'),('952',('087','9000T'),('787','9000T')
) as t(
part_num,base_part_num
)
),months as (
select 1 as MonthNumber,datename(month,'2000' + FORMAT(1,'00') + '01') as MonthName
union all
select m.MonthNumber + 1,'2000' + FORMAT(m.MonthNumber + 1,'00') + '01')
from months m
where m.MonthNumber < 12
)
select x.part_num,x.MonthName,coalesce(o.quantity,0) as quantity,coalesce(o.revenue,0) as revenue
from (
select so.part_num,so.month,sum(so.quantity) as quantity,sum(so.revenue + baseorder.revenue) as revenue
from SalesOrder so
inner join tops t on t.part_num = so.part_num
inner join SalesOrder baseorder on baseorder.part_num = t.base_part_num
and baseorder.order_num = so.order_num
group by so.part_num,so.month
) o
full outer join (
select m.MonthName,m.MonthNumber,t.part_num
from months m,tops t
) x on x.part_num = o.part_num
and x.MonthName = o.month
order by x.MonthNumber,x.part_num
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