我的INNER SELECT 没有提示正确的输出

Question

我做这份报告已经 2 周了。我今天需要完成这个，但我仍然找不到这个查询的任何解决方案。我知道我的错误在哪里（它在我的 INNER SELECT 上没有 GROUP BY ItemCode）但是 我不能在 INNER 上按 ItemCode 分组SELECT 因为我的 OUTER 上有一个 GROUP BY SELECT.

如果我将 GROUP BY 放在内部查询中，我的代码会出错，错误是： "子查询返回超过 1 个值。当子查询跟随 =、!=、<、<=、>、>= 或当子查询用作表达式时，这是不允许的。 “

这是我的代码，它是运行ning 但折旧汇总了全年每个月的所有值：

DROP PROCEDURE dfsi_sp_FALS2
GO
CREATE PROCEDURE dfsi_sp_FALS2
@filterDate DATE
AS


SELECT ODPV.ItemCode, OITM.ItemName, ITM8.APC, ITM7.UsefulLife, SUM(ODPV.OrdDprPost) AS AccumulatedDep,
(ITM8.APC - SUM(ODPV.OrdDprPost)) AS NBV, 
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-01-01 00:00:00' AND 
ODPV.ToDate = '2014-01-31 00:00:00' GROUP BY ODPV.ItemCode) AS DateofJanuary,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-02-01 00:00:00' AND 
ODPV.ToDate = '2014-02-28 00:00:00') AS DateofFebruary,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-03-01 00:00:00' AND 
ODPV.ToDate = '2014-03-31 00:00:00') AS DateofMarch,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-04-01 00:00:00' AND 
ODPV.ToDate = '2014-04-30 00:00:00') AS DateofApril,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-05-01 00:00:00' AND 
ODPV.ToDate = '2014-05-31 00:00:00') AS DateofMay,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-06-01 00:00:00' AND 
ODPV.ToDate = '2014-06-30 00:00:00') AS DateofJune,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-07-01 00:00:00' AND 
ODPV.ToDate = '2014-07-31 00:00:00') AS DateofJuly,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-08-01 00:00:00' AND 
ODPV.ToDate = '2014-08-31 00:00:00') AS DateofAugust,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-09-01 00:00:00' AND 
ODPV.ToDate = '2014-09-30 00:00:00') AS DateofSeptember,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-10-01 00:00:00' AND 
ODPV.ToDate = '2014-10-31 00:00:00') AS DateofOctober,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-11-01 00:00:00' AND 
ODPV.ToDate = '2014-11-30 00:00:00') AS DateofNovember,
(SELECT SUM(ODPV.OrdDprPost) FROM ODPV WHERE ODPV.FromDate = '2014-12-01 00:00:00' AND 
ODPV.ToDate = '2014-12-31 00:00:00') AS DateofDecember


FROM ODPV 
INNER JOIN OITM ON OITM.ItemCode = ODPV.ItemCode    
INNER JOIN ITM7 ON ITM7.ItemCode = ODPV.ItemCode
INNER JOIN ITM8 ON ITM8.ItemCode = ODPV.ItemCode

WHERE
ODPV.DprArea = 'Main Area' AND ODPV.PeriodCat = @filterDate
GROUP BY  ODPV.ItemCode, OITM.ItemName, ITM8.APC, ITM7.UsefulLife

GO

EXEC dfsi_sp_FALS2 '2014';

如果我运行以上查询，每月折旧列将导致此结果：

Date of September:
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566
432803.387566

这段代码是我需要的，但我不能在查询中执行它，因为这段代码应该在内部 select:

SELECT SUM(ODPV.OrdDprPost) AS DateofSeptember FROM ODPV WHERE ODPV.FromDate = '2014-10-01 00:00:00'
AND ODPV.ToDate = '2014-10-31 00:00:00'  GROUP BY ODPV.ItemCode;

上面的代码会产生这样的结果（我想要的结果（这是每个 ItemCode 在 9 月的折旧））：

10200.000000
0.000000
0.000000
2921.000000
498.000000
1030.000000
0.000000
0.000000
427.000000
327.000000
0.000000
291.000000
30.000000
13.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
1899.000000
0.000000
1439.000000
28.000000
190.000000
18.000000
516.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
121.000000
121.000000
354.000000
382.000000
32.000000
588.000000
127.000000
88.000000
88.000000
0.000000
0.000000
388.000000
340.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
79.000000
457.000000
457.000000
167.000000
181.000000
213.000000
107.000000
82.000000
81.000000
135.000000
0.000000
217.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
35.000000
35.000000
35.000000
43.000000
18.000000
18.000000
2.000000
50.000000
174.000000
53.000000
29.000000
26.000000
48.000000
333.000000
27.000000
662.000000
1660.000000
1109.000000
154.000000
112.000000
218.000000
423.000000
85.000000
265.000000
221.000000
134.000000
1349.000000
21.000000
34.000000
54.000000
0.000000
121.000000
128.000000
83.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
616.000000
614.000000
1666.000000
0.000000
0.000000
0.000000
469.000000
1120.000000
9.000000
20.000000
99.000000
99.000000
152.000000
18.000000
656.000000
108.000000
84.000000
84.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
1188.000000
59.000000
0.000000
90.000000
90.000000
86.000000
86.000000
29.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
934.000000
934.000000
164.000000
0.000000
0.000000
0.000000
0.000000
104.000000
338.000000
338.000000
338.000000
284.000000
254.000000
35.000000
45.000000
45.000000
45.000000
168.000000
162.000000
162.000000
273.000000
275.000000
32.000000
609.000000
72.000000
72.000000
0.000000
0.000000
51.000000

我知道为什么要总结，但我不能按我的内部查询进行分组，因为它会出错。

我需要你们的帮助。非常感谢。我将不胜感激你的所有建议。

Answer 1

不确定具体是什么问题。如果你有简化的要求，那就很容易了，比如非常简单的例子...

据我了解，您正在尝试获取每个项目代码的每个月的总和。如果是，则尝试下面给出的查询。

SELECT Od.ItemCode, OITM.ItemName, ITM8.APC, ITM7.UsefulLife, SUM(Od.OrdDprPost) AS AccumulatedDep,
(ITM8.APC - SUM(Od.OrdDprPost)) AS NBV, 
(SELECT SUM(OdJ.OrdDprPost) FROM ODPV OdJ WHERE OdJ.FromDate = '2014-01-01 00:00:00' AND OdJ.ToDate = '2014-01-31 00:00:00' AND OdJ.ItemCode = Od.ItemCode) AS DateofJanuary,
(SELECT SUM(OdF.OrdDprPost) FROM ODPV OdF WHERE OdF.FromDate = '2014-02-01 00:00:00' AND OdF.ToDate = '2014-02-28 00:00:00' AND OdF.ItemCode = Od.ItemCode) AS DateofFebruary    

FROM ODPV Od
INNER JOIN OITM ON OITM.ItemCode = Od.ItemCode    
INNER JOIN ITM7 ON ITM7.ItemCode = Od.ItemCode
INNER JOIN ITM8 ON ITM8.ItemCode = Od.ItemCode

WHERE
Od.DprArea = 'Main Area' AND Od.PeriodCat = @filterDate
GROUP BY  Od.ItemCode, OITM.ItemName, ITM8.APC, ITM7.UsefulLife

我只给了 1 月和 2 月。只需复制每个月的内部查询并更改子查询中的日期和别名。

Answer 2

只是一个建议.. 尝试在 Proc 中创建一个临时 table 并将所有内部 select 查询输出转储到其中，并将临时 table 连接到其他 table 以获得整体输出。

我的INNER SELECT 没有提示正确的输出

My INNER SELECT does not prompt the right output

sql

select

inner-join