SQL查询:没有聚合函数时如何创建小计行 [英] SQL query: how to create subtotal rows when there is no aggregate function

问题描述

SQL 中有没有可以显示小计行的函数.我有一张这样的桌子:

Is there a function in SQL that can display subtotal rows. I have a table like this:

Date    INVNUNBER     CUSTOMER     ITEM     QTY     SALES
20190630 IN3343       joe's comp   23225    2.0     3000
20190630 IN3343       joe's comp   23214    1.0     400
20190630 IN3353       matt's comp. 12222     3.0     6000
20190630 IN3353       matt's comp. 32222     3.0     3000 

我尝试过 ROLLUP，但似乎 ROLLUP 需要一个聚合函数，我必须对其中一个字段求​​和，而所有其他字段都需要在 Group By 子句中，但我不需要真的需要任何分组:

I tried ROLLUP, but seems like ROLLUP requires an aggregate function where I have to SUM up one of the fields, and all other fields need to be in the Group By clause, but I don't really need anything grouped:

我试过了:

SELECT DATE, INVNUMBER, CUSTOMER, ITEM, QUANTITY, SALES
FROM OESHDT
WHERE DATE = '20190630'
GROUP BY DATE, INVNUMBER, CUSTOMER WITH ROLLUP

然后我得到:

选择列表中的列OESHDT.ITEM"无效，因为它既没有包含在聚合函数中，也没有包含在 GROUP BY 子句中.

Column 'OESHDT.ITEM' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.

我只想像这样获取每个发票号的小计:

I just want to get the subtotals for each invoice number like this:

Date    INVNUNBER     CUSTOMER     ITEM     QTY     SALES
20190630 IN3343       joe's comp   23225    2.0     3000
20190630 IN3343       joe's comp   23214    1.0     400
                                           3.0     3400
20190630 IN3353       matt's comp. 12222     3.0     6000
20190630 IN3353       matt's comp. 32222     3.0     3000 
                                             6.0    9000

因为我没有总结任何东西，而且我只想要每个小计，SQL 能做到这一点吗?

Since I'm not summing up anything and I only want subtotals for each, can SQL do this?

推荐答案

一个选项是 Grouping Sets

示例

Declare @YourTable Table ([Date] varchar(50),[INVNUNBER] varchar(50),[CUSTOMER] varchar(50),[ITEM] varchar(50),[QTY] int,[SALES] int)
Insert Into @YourTable Values 
 (20190630,'IN3343','joe''s comp',23225,2.0,3000)
,(20190630,'IN3343','joe''s comp',23214,1.0,400)
,(20190630,'IN3353','matt''s comp.',12222,3.0,6000)
,(20190630,'IN3353','matt''s comp.',32222,3.0,3000)

Select Date
      ,InvNunber
      ,Customer
      ,Item
      ,Qty  = sum(Qty)
      ,Sales = sum(Sales)
 From  @YourTable
 Group By 
   Grouping Sets (
                    (Date,InvNunber,Customer,Item)
                   ,(Date,InvNunber)
                   ,(left(Date,0))
                 )
  Order By left(Date,0) Desc
          ,Date
          ,InvNunber
          ,Customer Desc

退货

Date    InvNunber   Customer        Item    Qty Sales
20190630    IN3343  joe's comp      23214   1   400
20190630    IN3343  joe's comp      23225   2   3000
20190630    IN3343  NULL            NULL    3   3400
20190630    IN3353  matt's comp.    12222   3   6000
20190630    IN3353  matt's comp.    32222   3   3000
20190630    IN3353  NULL            NULL    6   9000
NULL        NULL    NULL            NULL    9   12400

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