添加列時缺少SQL結果
[英]SQL Results Missing When Adding Columns
問題描述
試圖找出導致我的SQL Server查詢不返回任何結果的問題。 我有一個查詢，查詢在單個PO上的大小級別上有多個唯一的“請求的交貨日期”。 我使用COUNT和DISTINCT進行此操作。 在我添加字段“ PO_ITEM_NUMBER”和“ REQ_DELIV_DATE”之前，它是完美的，這是企業要求的。 我不確定為什么會引起問題-供參考，我們的PO表層是Header，Item，Size-粒度最細，它是基於SAP的。
查詢：
SELECT E.TEAM_MEMBER_NAME [EMPLOYEE],
H.PO_TYPE,
H.PO_ISSUE_DATE,
S.PO_NUMBER,
S.MATERIAL,
M.DESCRIPTION,
H.PO_ORDERED_QUANTITY [PO_QUANTITY], -- if you sue SUM(S.PO_ORDERED_QUANTITY - you get more results but wrong totals
K.BUSINESS_SEGMENT_DESC,
S.PO_REQ_DELIV_DATE,
S.PO_ITEM_NUMBER
FROM PDX_SAP_USER..VW_PO_SIZE S --- you can use .. insetead of .dbo.
JOIN ADI_USER_MAINTAINED..SCM_PO_Employee_Name E --- join the po to employee assigment table
ON S.PO_NUMBER = E.PO_NUMBER
JOIN PDX_SAP_USER..VW_PO_HEADER H
ON E.PO_NUMBER = H.PO_NUMBER
JOIN PDX_SAP_USER..VW_PO_ITEM I
ON E.PO_NUMBER = I.PO_NUMBER
JOIN PDX_SAP_USER..VW_MM_MATERIAL M
ON E.MATERIAL = M.MATERIAL
JOIN PDX_SAP_USER..vw_kd_BUSINESS_SEGMENT K
ON M.BUSINESS_SEGMENT_CODE = K.BUSINESS_SEGMENT_CODE
WHERE I.PO_BALANCE_QUANTITY > 0 ---exclude any fully received PO's
AND NOT EXISTS (SELECT * FROM VW_PO_ITEM I1 WHERE DEL_INDICATOR = 'L' AND I.PO_NUMBER = I1.PO_NUMBER)
GROUP BY S.PO_NUMBER,
E.TEAM_MEMBER_NAME,
H.PO_TYPE,
H.PO_ISSUE_DATE,
S.MATERIAL,
M.DESCRIPTION,
K.BUSINESS_SEGMENT_DESC,
H.PO_ORDERED_QUANTITY,
S.PO_REQ_DELIV_DATE,
S.PO_ITEM_NUMBER
HAVING COUNT(DISTINCT S.PO_REQ_DELIV_DATE) > 1
ORDER BY S.PO_NUMBER
添加與結果一起使用的查詢：
SELECT E.TEAM_MEMBER_NAME [EMPLOYEE],
H.PO_TYPE,
CONVERT(VARCHAR(12),H.PO_ISSUE_DATE,101) [PO_ISSUE_DATE],
S.PO_NUMBER,
S.MATERIAL,
M.DESCRIPTION,
H.PO_ORDERED_QUANTITY [PO_QUANTITY], --- if you use SUM(S.PO_ORDERED_QUANTITY) - you get more results but wrong totals
K.BUSINESS_SEGMENT_DESC
FROM PDX_SAP_USER..VW_PO_SIZE S --- you can use .. insetead of .dbo.
JOIN ADI_USER_MAINTAINED..SCM_PO_Employee_Name E --- join the po to employee assigment table
ON S.PO_NUMBER = E.PO_NUMBER
JOIN PDX_SAP_USER..VW_PO_HEADER H
ON E.PO_NUMBER = H.PO_NUMBER
JOIN PDX_SAP_USER..VW_PO_ITEM I
ON E.PO_NUMBER = I.PO_NUMBER
JOIN PDX_SAP_USER..VW_MM_MATERIAL M
ON E.MATERIAL = M.MATERIAL
JOIN PDX_SAP_USER..vw_kd_BUSINESS_SEGMENT K
ON M.BUSINESS_SEGMENT_CODE = K.BUSINESS_SEGMENT_CODE
WHERE I.PO_BALANCE_QUANTITY > 0 ---exclude any fully received PO's
AND NOT EXISTS (SELECT * FROM VW_PO_ITEM I1 WHERE DEL_INDICATOR = 'L' AND I.PO_NUMBER = I1.PO_NUMBER)
GROUP BY S.PO_NUMBER,
E.TEAM_MEMBER_NAME,
H.PO_TYPE,
H.PO_ISSUE_DATE,
S.MATERIAL,
M.DESCRIPTION,
K.BUSINESS_SEGMENT_DESC,
H.PO_ORDERED_QUANTITY
HAVING COUNT(DISTINCT S.PO_REQ_DELIV_DATE) > 1
ORDER BY S.PO_NUMBER
結果：
EMPLOYEE PO_TYPE PO_ISSUE_DATE PO_NUMBER MATERIAL DESCRIPTION PO_QUANTITY BUSINESS_SEGMENT_DESC
------------------------------ ------- ------------- ---------- ------------------ ---------------------------------------- --------------------------------------- ----------------------------------------------------------------------------------------------------
Christopher Olson NB 01/19/2017 0282238419 CD7078 ESS 3S PANT WVN 2054 CORE APP MEN SPORT ADIDAS
Juan Gomez NB 02/23/2017 0282524995 S98775 ESS LIN P/O FT 103 CORE APP MEN SPORT ADIDAS
Christopher Olson NB 03/09/2017 0282598957 BK7410 ESS LGO T P SJ 619 ATHLETICS APP MEN ADIDAS
Juan Gomez NB 03/28/2017 0282706115 S97155 ESS LIN TIGHT 961 CORE APP WOMEN SPORT ADIDAS
Juan Gomez NB 09/21/2017 0283752965 CF8152 BOS LABEL 7900 ATHLETICS APP MEN ADIDAS
Julie Lange-May 12 10/02/2017 0283796594 DQ1421 WOVEN JACKET W 1020 ATHLETICS APP WOMEN ADIDAS
Kekai Ariola NB 10/10/2017 0283837426 AC7366 PW HU HOLI Tennis Hu MC 5655 STATEMENT FTW ADIDAS
Cody Lofquist NB 11/10/2017 0283944933 DB2061 PREDATOR TANGO 18.1 TR 1756 FOOTBALL FTW ADIDAS
Andrew Zapata 05 11/13/2017 0283961402 CG6440 NEMEZIZ 18.1 FG W 543 FOOTBALL FTW ADIDAS
Christopher Olson NB 11/20/2017 0283981666 CV7748 ASSITA 17 GK Y 1648 FOOTBALL APP GENERIC ADIDAS
Cody Lofquist NB 11/21/2017 0283984539 DB2165 COPA 18.1 FG 501 FOOTBALL FTW ADIDAS
Julie Lange-May NB 11/26/2017 0284043157 CE4368 I GRPHC STSET 1333 ORIGINALS APP KIDS ADIDAS
Trey Pflug NB 11/27/2017 0284048754 CQ3168 SOLAR BOOST M 3500 RUNNING FTW MEN ADIDAS
Dave Laws NB 11/28/2017 0284059045 DB2966 YEEZY 500 15334 YEEZY FTW ADIDAS
Dave Laws NB 11/28/2017 0284059047 DB2966 YEEZY 500 12584 YEEZY FTW ADIDAS
Christopher Olson NB 12/06/2017 0284094060 BJ9165 TASTIGO17 SHO W 7522 FOOTBALL APP GENERIC ADIDAS
Christopher Olson NB 12/06/2017 0284094212 BK0350 TIRO17 TRG PNTW 7091 FOOTBALL APP GENERIC ADIDAS
Cody Lofquist NB 12/08/2017 0284107301 DB2062 PREDATOR TANGO 18.1 TR 2110 FOOTBALL FTW ADIDAS
Trey Pflug NB 12/11/2017 0284115640 BC0674 SOLAR BOOST W 1752 RUNNING FTW WOMEN ADIDAS
Kim Moreland NB 12/12/2017 0284137355 DJ3033 D2M K SHT 1730 CORE APP WOMEN SPORT ADIDAS
Cody Lofquist NB 12/12/2017 0284141196 DB2126 PREDATOR TANGO 18.3 IN 1988 FOOTBALL FTW ADIDAS
Cody Lofquist NB 12/12/2017 0284141253 AQ0612 NEMEZIZ MESSI TANGO 18.3 TF 526 FOOTBALL FTW ADIDAS
Dave Laws NB 12/15/2017 0284170426 DB2966 YEEZY 500 2918 YEEZY FTW ADIDAS
Cody Lofquist NB 12/16/2017 0284174671 DB2248 X 18.1 FG 668 FOOTBALL FTW ADIDAS
Cody Lofquist NB 12/16/2017 0284174673 DB2039 PREDATOR 18.1 FG 489 FOOTBALL FTW ADIDAS
Christopher Olson ER 12/20/2017 0284207872 BS4250 TASTIGO17 SHO 404 FOOTBALL APP GENERIC ADIDAS
Ben Paul NB 12/19/2017 0284208137 CG0584 REAL A JSY 811 FOOTBALL APP LICENSED ADIDAS
Julie Lange-May NB 01/07/2018 0284316616 DN4273 UAS BEANIE 120 ORIGINALS APP MEN ADIDAS
Cody Lofquist NB 01/08/2018 0284319552 DB2063 PREDATOR TANGO 18.1 TR 2001 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284464341 DB2214 X 18+ FG 582 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284464343 DB2013 PREDATOR 18+ FG 2201 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284464344 DB2072 NEMEZIZ 18+ FG 1467 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284464346 DB2251 X 18.1 FG 620 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284464348 DB2167 COPA 18.1 FG 1714 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284464349 DB2089 NEMEZIZ MESSI 18.1 FG 988 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284464350 DB2040 PREDATOR 18.1 FG 2061 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/19/2018 0284465944 DB2001 PREDATOR 18.3 FG 7008 FOOTBALL FTW ADIDAS
Cody Lofquist NB 01/23/2018 0284489924 772109 SAMBA CLASSIC 419 FOOTBALL FTW ADIDAS
Andrew Zapata 05 02/02/2018 0284539184 DH3869 CLIMA 3.0 TEE 1853 ACTION SPORTS APP ADIDAS
Cody Lofquist NB 02/06/2018 0284550445 BB0571 Goletto VI FG J 5562 FOOTBALL FTW ADIDAS
Cody Lofquist NB 02/24/2018 0284666220 DM2092 MLS ASG OMB 424 FOOTBALL ACC HW ADIDAS
Christopher Olson NB 01/19/2018 0284666914 BP9111 D2M 3S SHORT 11811 CORE APP MEN SPORT ADIDAS
Cody Lofquist NB 02/27/2018 0284684097 019228 MUNDIAL TEAM 657 FOOTBALL FTW ADIDAS
Cody Lofquist NB 03/06/2018 0284704098 CD4683 GENERICWCBOX 80000 FOOTBALL ACC HW ADIDAS
Kekai Ariola NB 03/08/2018 0284728508 BB7619 Sobakov 1775 ORIGINALS FTW MEN ADIDAS
Kim Moreland NB 03/08/2018 0284730274 BP9733 ULT SS T 2557 TRAINING APP MEN ADIDAS
Kekai Ariola 05 03/27/2018 0284865999 B37532 EQT SUPPORT SK PK W 347 ORIGINALS FTW WOMEN ADIDAS
Kekai Ariola 05 03/27/2018 0284866000 B37545 EQT SUPPORT SK PK W 357 ORIGINALS FTW WOMEN ADIDAS
Kim Moreland NB 04/06/2018 0284914322 DH3591 Tech Tee 10042 TRAINING APP WOMEN ADIDAS
Cody Lofquist NB 04/10/2018 0284930265 CW5627 Pred FS JR MN 1651 FOOTBALL ACC HW ADIDAS
Kekai Ariola NB 04/10/2018 0284930449 B41794 PW TENNIS HU 315 ORIGINALS FTW MEN ADIDAS
(51 row(s) affected)
2 個解決方案
解決方案1
0 2018-04-21 05:21:59
If you added HAVING clause recently then comment and check.
If not then change the INNER JOIN TO LEFT join from bottom to top one at a time and execute the query and check.
This way you can troubleshoot the issue easily.
Unless we have the sample data for all the tables you are used the query it will be difficult to answer.
解決方案2
0 2018-04-21 06:23:13
WITH POsToReturn AS (
SELECT S.PO_NUMBER
FROM PDX_SAP_USER..VW_PO_SIZE S
JOIN PDX_SAP_USER..VW_PO_ITEM I
ON I.PO_NUMBER = S.PO_NUMBER
WHERE I.PO_BALANCE_QUANTITY > 0
GROUP BY S.PO_NUMBER
HAVING COUNT(DISTINCT S.PO_REQ_DELIV_DATE) > 1
AND COUNT(CASE WHEN I.DEL_INDICATOR = 'L' THEN 1 END) = 0
)
SELECT <your columns>
FROM POsToReturn P
JOIN PDX_SAP_USER..VW_PO_SIZE S
ON S.PO_NUMBER = P.PO_NUMBER
... <join the rest of the tables for the detail columns>
-- leave out the entire group by!
或者，您可以采用以下方法：
with data as (
select
count(distinct S.PO_REQ_DELIV_DATE)
over (partition by S.PO_NUMBER) as rdd_count
<insert rest of main query>
)
select ... from data
where rdd_count > 1
order by S.PO_NUMBER;
至於理解原因，我認為您還看到了其他查詢，人們在其中向group by子句添加了列，這樣他們就可以解決關於非聚合的神秘錯誤消息。 如果不是這樣，那么您已經看到那些令人迷惑地允許非標准行為的系統，這些行為給出的結果完全沒有錯誤。
通常，人們想要完成的工作是這樣的：我已經在按客戶ID分組了，但是我也希望結果中包含客戶名稱。 因此，他們將該額外的列添加到“分組依據”列表中，一切正常。 但是，如果您考慮一下，原因是新列根本沒有更改組，因為每個客戶ID始終始終具有相同的客戶名，這最終是擺脫錯誤的一種簡便方法。 在查詢中，這不是真的：您關心的所有組中確實有多個日期。
我認為最好使用像min(Customer Name) as CustomerName這樣的啞聚合min(Customer Name) as CustomerName 。 請記住，聚合函數的目的是將多個值折疊為一個值。 必要時，某些系統會隨機選擇一個值，而不會警告您這樣做。 當許多MySQL和Sybase開發人員依靠這種古怪的行為和/或從未真正了解它應該如何工作時，就為此而煩惱。
還要記住，通常，一組是一組多行折疊成的一行。 為了使count(distinct)起作用，需要在一個組中查看多個日期。 但這與將輸出保持為單獨的行的需求相沖突。
本質上，該行本身並不能為您提供足夠的信息來決定是否保留它。 通過使用第二個查詢找出滿足條件的PO_Number列表，然后將其用作過濾器（通過內部PO_Number ，我解決了這個問題。
在第二個示例中，我改用了window函數，該函數使您可以在每行的外部查看，而無需group by的行折疊行為。 兩者的基本讓你做什么， having是為了完成。
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