使用连接MSSQL过滤值
我有一个左连接，想过滤一些值。但是如果我执行查询，仍会返回值。
这是查询：
USE [VERPLOEGEN-NAV2009-LIVE]
SELECT SIH.[Counter Pay Card 1], SIH.[Counter Pay Card 2],A.[G_L Account No_], A.[Document No_], CAST(CONVERT(VARCHAR, A.[Posting Date])AS DATETIME)
FROM [Verploegen POC$Sales Invoice Header] SIH
LEFT JOIN
[Verploegen POC$G_L Entry] A
--LEFT JOIN [Verploegen POC$Sales Header] SH
ON SIH.No_ = A.[Document No_]
-- JOIN
--[Verploegen POC$G_L Account] GLA
--ON A.[G_L Account No_] = GLA.No_
--ON SIH.No_ = A.No_
WHERE --A.[Document No_] = '2295848' AND
SIH.[Counter Pay Card 1] <> '0.00000000000000000000' AND
A.[Posting Date] BETWEEN '2016-05-30' AND '2016-07-18' AND
(A.[G_L Account No_] = '1031' OR a.[G_L Account No_] = '1011'
OR a.[G_L Account No_] = '1021' OR A.[G_L Account No_] = '1041' OR A.[G_L Account No_] = '1051')
AND
(A.[G_L Account No_] <> '2210' OR a.[G_L Account No_] <> '2220' OR A.[G_L Account No_] <> '2230'
OR A.[G_L Account No_] <> '2240' OR A.[G_L Account No_] <> '2250'
)
但仍然返回值2210。
见图片：
OKE。所以我试着这样：
USE [VERPLOEGEN-NAV2009-LIVE]
SELECT SIH.[Counter Pay Card 1], SIH.[Counter Pay Card 2],A.[G_L Account No_], A.[Document No_], CAST(CONVERT(VARCHAR, A.[Posting Date])AS DATETIME)
FROM [Verploegen POC$Sales Invoice Header] SIH
LEFT JOIN
[Verploegen POC$G_L Entry] A
--LEFT JOIN [Verploegen POC$Sales Header] SH
ON SIH.No_ = A.[Document No_]
-- JOIN
--[Verploegen POC$G_L Account] GLA
--ON A.[G_L Account No_] = GLA.No_
--ON SIH.No_ = A.No_
WHERE --A.[Document No_] = '2295848' AND
SIH.[Counter Pay Card 1] <> '0.00000000000000000000' AND
A.[Posting Date] BETWEEN '2016-05-30' AND '2016-07-18' AND
(A.[G_L Account No_] = '1031' OR a.[G_L Account No_] = '1011'
OR a.[G_L Account No_] = '1021' OR A.[G_L Account No_] = '1041' OR A.[G_L Account No_] = '1051')
AND
A.[G_L Account No_] NOT IN('2210','2220', '2230','2240', '2250')
但仍然可以看到值2210。
这是销售发票标题表：
Enabled Field No. Field Name Data Type Length Description
Yes 2 Sell-to Customer No. Code 20
Yes 3 No. Code 20
Yes 4 Bill-to Customer No. Code 20
Yes 5 Bill-to Name Text 50
Yes 6 Bill-to Name 2 Text 50
Yes 7 Bill-to Address Text 50
Yes 8 Bill-to Address 2 Text 50
Yes 9 Bill-to City Text 30
Yes 10 Bill-to Contact Text 50
Yes 11 Your Reference Text 30
Yes 12 Ship-to Code Code 10
Yes 13 Ship-to Name Text 50
Yes 14 Ship-to Name 2 Text 50
Yes 15 Ship-to Address Text 50
Yes 16 Ship-to Address 2 Text 50
Yes 17 Ship-to City Text 30
Yes 18 Ship-to Contact Text 50
Yes 19 Order Date Date
Yes 20 Posting Date Date
Yes 21 Shipment Date Date
Yes 22 Posting Description Text 50
Yes 23 Payment Terms Code Code 10
Yes 24 Due Date Date
Yes 25 Payment Discount % Decimal
Yes 26 Pmt. Discount Date Date
Yes 27 Shipment Method Code Code 10
Yes 28 Location Code Code 10
Yes 29 Shortcut Dimension 1 Code Code 20
Yes 30 Shortcut Dimension 2 Code Code 20
Yes 31 Customer Posting Group Code 10
Yes 32 Currency Code Code 10
Yes 33 Currency Factor Decimal
Yes 34 Customer Price Group Code 10
Yes 35 Prices Including VAT Boolean
Yes 37 Invoice Disc. Code Code 20
Yes 40 Customer Disc. Group Code 10
Yes 41 Language Code Code 10
Yes 43 Salesperson Code Code 10
Yes 44 Order No. Code 20
Yes 46 Comment Boolean
Yes 47 No. Printed Integer
Yes 51 On Hold Code 3
Yes 52 Applies-to Doc. Type Option
Yes 53 Applies-to Doc. No. Code 20
Yes 55 Bal. Account No. Code 20
Yes 60 Amount Decimal
Yes 61 Amount Including VAT Decimal
Yes 70 VAT Registration No. Text 20
Yes 73 Reason Code Code 10
Yes 74 Gen. Bus. Posting Group Code 10
Yes 75 EU 3-Party Trade Boolean
Yes 76 Transaction Type Code 10
Yes 77 Transport Method Code 10
Yes 78 VAT Country/Region Code Code 10
Yes 79 Sell-to Customer Name Text 50
Yes 80 Sell-to Customer Name 2 Text 50
Yes 81 Sell-to Address Text 50
Yes 82 Sell-to Address 2 Text 50
Yes 83 Sell-to City Text 30
Yes 84 Sell-to Contact Text 50
Yes 85 Bill-to Post Code Code 20
Yes 86 Bill-to County Text 30
Yes 87 Bill-to Country/Region Code Code 10
Yes 88 Sell-to Post Code Code 20
Yes 89 Sell-to County Text 30
Yes 90 Sell-to Country/Region Code Code 10
Yes 91 Ship-to Post Code Code 20
Yes 92 Ship-to County Text 30
Yes 93 Ship-to Country/Region Code Code 10
Yes 94 Bal. Account Type Option
Yes 97 Exit Point Code 10
Yes 98 Correction Boolean
Yes 99 Document Date Date
Yes 100 External Document No. Code 20
Yes 101 Area Code 10
Yes 102 Transaction Specification Code 10
Yes 104 Payment Method Code Code 10
Yes 105 Shipping Agent Code Code 10
Yes 106 Package Tracking No. Text 30
Yes 107 Pre-Assigned No. Series Code 10
Yes 108 No. Series Code 10
Yes 110 Order No. Series Code 10
Yes 111 Pre-Assigned No. Code 20
Yes 112 User ID Code 20
Yes 113 Source Code Code 10
Yes 114 Tax Area Code Code 20
Yes 115 Tax Liable Boolean
Yes 116 VAT Bus. Posting Group Code 10
Yes 119 VAT Base Discount % Decimal
Yes 131 Prepayment No. Series Code 10
Yes 136 Prepayment Invoice Boolean
Yes 137 Prepayment Order No. Code 20
Yes 151 Quote No. Code 20
Yes 5050 Campaign No. Code 20
Yes 5052 Sell-to Contact No. Code 20
Yes 5053 Bill-to Contact No. Code 20
Yes 5700 Responsibility Center Code 10
Yes 5900 Service Mgt. Document Boolean
Yes 7001 Allow Line Disc. Boolean
Yes 7200 Get Shipment Used Boolean
Yes 50000 Counter Order Boolean COUNTER
Yes 50002 Job Receipt No. Text 30 COUNTER
Yes 50004 Counter Pay Card 1 Decimal COUNTER
Yes 50005 Counter Pay Card 2 Decimal COUNTER
Yes 50006 Counter Pay Cash Decimal COUNTER
Yes 50010 Counter E-Mail Text 80 COUNTER
Yes 50016 Ship-to Mobile No. Contact Text 30 COUNTER
Yes 50017 Shipment Yes/No Boolean COUNTER
Yes 50018 Shipment Type Option COUNTER
Yes 50019 Sell-to Contact Name Text 50 GAC WSU 02-03-2011, Issue 74/Vergroot 17-11-11 Kees VPL
Yes 50099 Invoice Type Code VPL Code 10 VPL
Yes 11000000 Transaction Mode Code 20
Yes 11000001 Bank Account Code 10
Yes 11025025 Allow Condition Disc. Boolean GS10
Yes 11025026 Allow Prod. Gr. Cond. Disc. Boolean GS10
Yes 11025027 Customer Price List Group Code 10 GS10
Yes 11025028 Customer Condition Group Code 10 GS10
Yes 11025029 Cust. Prod. Gr. Condition Gr. Code 10 GS10
Yes 11025036 Find Best Price Boolean GS10
Yes 11025041 Print Conditions Boolean GS10
Yes 11025051 Representative Code Code 10 GS10
Yes 11025073 Customer Bonus Group Code 10 GS11
Yes 11025100 Transport Region Code 10 GS6
Yes 11025210 Shipping Service Code Code 20 GS01
Yes 11025211 Print Shipping Charge Option GS01
Yes 11025330 Intercompany Prepayment Boolean GS18
Yes 11025332 Intercompany Shipment Allowed Boolean GS18
Yes 11025350 Rental Status Code 10 GS20
Yes 11025351 Rental Start Date Date GS20
Yes 11025352 Rental End Date Date GS20
Yes 11028120 Invoice Type Code Code 10 N120F000
Yes 11028121 Comb. Ship. Header Text Code Code 10 N120F000
Yes 99008509 Date Sent Date
Yes 99008510 Time Sent Time
Yes 99008516 BizTalk Sales Invoice Boolean
Yes 99008519 Customer Order No. Code 20
Yes 99008521 BizTalk Document Sent Boolean
这是G_L Entry表：
Enabled Field No. Field Name Data Type Length Description
Yes 1 Entry No. Integer
Yes 3 G/L Account No. Code 20
Yes 4 Posting Date Date
Yes 5 Document Type Option
Yes 6 Document No. Code 20
Yes 7 Description Text 50
Yes 10 Bal. Account No. Code 20
Yes 17 Amount Decimal
Yes 23 Global Dimension 1 Code Code 20
Yes 24 Global Dimension 2 Code Code 20
Yes 27 User ID Code 20
Yes 28 Source Code Code 10
Yes 29 System-Created Entry Boolean
Yes 30 Prior-Year Entry Boolean
Yes 41 Job No. Code 20
Yes 42 Quantity Decimal
Yes 43 VAT Amount Decimal
Yes 45 Business Unit Code Code 10
Yes 46 Journal Batch Name Code 10
Yes 47 Reason Code Code 10
Yes 48 Gen. Posting Type Option
Yes 49 Gen. Bus. Posting Group Code 10
Yes 50 Gen. Prod. Posting Group Code 10
Yes 51 Bal. Account Type Option
Yes 52 Transaction No. Integer
Yes 53 Debit Amount Decimal
Yes 54 Credit Amount Decimal
Yes 55 Document Date Date
Yes 56 External Document No. Code 20
Yes 57 Source Type Option
Yes 58 Source No. Code 20
Yes 59 No. Series Code 10
Yes 60 Tax Area Code Code 20
Yes 61 Tax Liable Boolean
Yes 62 Tax Group Code Code 10
Yes 63 Use Tax Boolean
Yes 64 VAT Bus. Posting Group Code 10
Yes 65 VAT Prod. Posting Group Code 10
Yes 68 Additional-Currency Amount Decimal
Yes 69 Add.-Currency Debit Amount Decimal
Yes 70 Add.-Currency Credit Amount Decimal
Yes 71 Close Income Statement Dim. ID Integer
Yes 72 IC Partner Code Code 20
Yes 73 Reversed Boolean
Yes 74 Reversed by Entry No. Integer
Yes 75 Reversed Entry No. Integer
Yes 76 G/L Account Name Text 50
Yes 5400 Prod. Order No. Code 20
Yes 5600 FA Entry Type Option
Yes 5601 FA Entry No. Integer
Yes 11301 Open Boolean
Yes 11302 Remaining Amount Decimal
Yes 11303 Closed by Entry No. Integer
Yes 11304 Closed at Date Date
Yes 11305 Closed by Amount Decimal
Yes 11306 Applies-to ID Code 20
Yes 11025375 Calculation Model Code 10 GS21
Yes 11025376 Order Type Option GS21
Yes 11025377 Order No. Code 20 GS21
Yes 11025378 Order Line No. Integer GS21
如果我这样做：
USE [VERPLOEGEN-NAV2009-LIVE]
SELECT SIH.[Counter Pay Card 1], SIH.[Counter Pay Card 2],A.[G_L Account No_], A.[Document No_], CAST(CONVERT(VARCHAR, A.[Posting Date])AS DATETIME)
FROM [Verploegen POC$Sales Invoice Header] SIH
JOIN
[Verploegen POC$G_L Entry] A
--LEFT JOIN [Verploegen POC$Sales Header] SH
ON SIH.No_ = A.[Document No_]
-- JOIN
--[Verploegen POC$G_L Account] GLA
--ON A.[G_L Account No_] = GLA.No_
--ON SIH.No_ = A.No_
WHERE --A.[Document No_] = '2295848' AND
SIH.[Counter Pay Card 1] <> '0.00000000000000000000' AND
A.[Posting Date] BETWEEN '2016-05-30' AND '2016-06-1' AND
A.[G_L Account No_] IN ('1031', '1011','1021', '1041', '1051' )
AND
-- (A.[G_L Account No_] = '1031' OR a.[G_L Account No_] = '1011'
--OR a.[G_L Account No_] = '1021' OR A.[G_L Account No_] = '1041' OR A.[G_L Account No_] = '1051')
--AND
A.[G_L Account No_] NOT IN('2210','2220', '2230','2240', '2250')
这是输出：
6.80000000000000000000 0.00000000000000000000 1011 2273308 2016-05-30 00:00:00.000
34.79000000000000000000 0.00000000000000000000 1011 2273496 2016-05-30 00:00:00.000
149.87000000000000000000 0.00000000000000000000 1011 2273441 2016-05-30 00:00:00.000
179.56000000000000000000 0.00000000000000000000 1011 2273379 2016-05-30 00:00:00.000
0.94000000000000000000 0.00000000000000000000 1011 2273536 2016-05-30 00:00:00.000
97.32000000000000000000 0.00000000000000000000 1011 2274011 2016-05-31 00:00:00.000
108.68000000000000000000 0.00000000000000000000 1011 2274058 2016-05-31 00:00:00.000
0.01000000000000000000 0.00000000000000000000 1011 2274193 2016-06-01 00:00:00.000
0.02000000000000000000 0.00000000000000000000 1011 2274287 2016-06-01 00:00:00.000
19.36000000000000000000 0.00000000000000000000 1011 2274295 2016-06-01 00:00:00.000
300.00000000000000000000 0.00000000000000000000 1021 2273476 2016-05-30 00:00:00.000
0.01000000000000000000 0.00000000000000000000 1021 2273891 2016-05-31 00:00:00.000
29.31000000000000000000 0.00000000000000000000 1031 2273153 2016-05-30 00:00:00.000
40.66000000000000000000 0.00000000000000000000 1031 2273511 2016-05-30 00:00:00.000
72.25000000000000000000 0.00000000000000000000 1031 2273752 2016-05-31 00:00:00.000
783.63000000000000000000 0.00000000000000000000 1041 2273191 2016-05-30 00:00:00.000
46.93000000000000000000 0.00000000000000000000 1041 2274260 2016-06-01 00:00:00.000
25.89000000000000000000 0.00000000000000000000 1041 2273741 2016-05-31 00:00:00.000
153.71000000000000000000 0.00000000000000000000 1041 2273868 2016-05-31 00:00:00.000
126.73000000000000000000 0.00000000000000000000 1041 2274186 2016-06-01 00:00:00.000
17.23000000000000000000 0.00000000000000000000 1051 2273152 2016-05-30 00:00:00.000
8.24000000000000000000 0.00000000000000000000 1051 2273537 2016-05-30 00:00:00.000
19.72000000000000000000 0.00000000000000000000 1051 2273730 2016-05-31 00:00:00.000
27.78000000000000000000 0.00000000000000000000 1051 2274199 2016-06-01 00:00:00.000
673.87000000000000000000 0.00000000000000000000 1051 2274266 2016-06-01 00:00:00.000
0.49000000000000000000 0.00000000000000000000 1051 2274509 2016-06-01 00:00:00.000
如果我这样做：
USE [VERPLOEGEN-NAV2009-LIVE]
SELECT SIH.[Counter Pay Card 1], SIH.[Counter Pay Card 2],cast([G_L Account No_] as varbinary(max)), A.[Document No_], CAST(CONVERT(VARCHAR, A.[Posting Date])AS DATETIME)
FROM [Verploegen POC$Sales Invoice Header] SIH
INNER JOIN
[Verploegen POC$G_L Entry] A
ON SIH.No_ = A.[Document No_]
WHERE --A.[Document No_] = '2295848' AND
SIH.[Counter Pay Card 1] <> '0.00000000000000000000' AND
A.[Posting Date] BETWEEN '2016-05-30' AND '2016-06-1' AND
A.[G_L Account No_] IN ('1031', '1011','1021', '1041', '1051' )
AND
A.[G_L Account No_] NOT IN('2210','2220', '2230','2240', '2250')
输出如下：
6.80000000000000000000 0.00000000000000000000 0x31303131 2273308 2016-05-30 00:00:00.000
179.56000000000000000000 0.00000000000000000000 0x31303131 2273379 2016-05-30 00:00:00.000
149.87000000000000000000 0.00000000000000000000 0x31303131 2273441 2016-05-30 00:00:00.000
34.79000000000000000000 0.00000000000000000000 0x31303131 2273496 2016-05-30 00:00:00.000
0.94000000000000000000 0.00000000000000000000 0x31303131 2273536 2016-05-30 00:00:00.000
97.32000000000000000000 0.00000000000000000000 0x31303131 2274011 2016-05-31 00:00:00.000
108.68000000000000000000 0.00000000000000000000 0x31303131 2274058 2016-05-31 00:00:00.000
0.01000000000000000000 0.00000000000000000000 0x31303131 2274193 2016-06-01 00:00:00.000
0.02000000000000000000 0.00000000000000000000 0x31303131 2274287 2016-06-01 00:00:00.000
19.36000000000000000000 0.00000000000000000000 0x31303131 2274295 2016-06-01 00:00:00.000
300.00000000000000000000 0.00000000000000000000 0x31303231 2273476 2016-05-30 00:00:00.000
0.01000000000000000000 0.00000000000000000000 0x31303231 2273891 2016-05-31 00:00:00.000
29.31000000000000000000 0.00000000000000000000 0x31303331 2273153 2016-05-30 00:00:00.000
40.66000000000000000000 0.00000000000000000000 0x31303331 2273511 2016-05-30 00:00:00.000
72.25000000000000000000 0.00000000000000000000 0x31303331 2273752 2016-05-31 00:00:00.000
783.63000000000000000000 0.00000000000000000000 0x31303431 2273191 2016-05-30 00:00:00.000
25.89000000000000000000 0.00000000000000000000 0x31303431 2273741 2016-05-31 00:00:00.000
153.71000000000000000000 0.00000000000000000000 0x31303431 2273868 2016-05-31 00:00:00.000
126.73000000000000000000 0.00000000000000000000 0x31303431 2274186 2016-06-01 00:00:00.000
46.93000000000000000000 0.00000000000000000000 0x31303431 2274260 2016-06-01 00:00:00.000
17.23000000000000000000 0.00000000000000000000 0x31303531 2273152 2016-05-30 00:00:00.000
8.24000000000000000000 0.00000000000000000000 0x31303531 2273537 2016-05-30 00:00:00.000
19.72000000000000000000 0.00000000000000000000 0x31303531 2273730 2016-05-31 00:00:00.000
27.78000000000000000000 0.00000000000000000000 0x31303531 2274199 2016-06-01 00:00:00.000
673.87000000000000000000 0.00000000000000000000 0x31303531 2274266 2016-06-01 00:00:00.000
0.49000000000000000000 0.00000000000000000000 0x31303531 2274509 2016-06-01 00:00:00.000
你的意思是这个查询：
USE [VERPLOEGEN-NAV2009-LIVE]
SELECT SIH.[Counter Pay Card 1], SIH.[Counter Pay Card 2],cast([G_L Account No_] as varbinary(max)), A.[Document No_], CAST(CONVERT(VARCHAR, A.[Posting Date])AS DATETIME)
FROM [Verploegen POC$Sales Invoice Header] SIH
INNER JOIN
[Verploegen POC$G_L Entry] A
ON SIH.No_ = A.[Document No_]
WHERE --A.[Document No_] = '2295848' AND
SIH.[Counter Pay Card 1] <> '0.00000000000000000000' AND
A.[Posting Date] BETWEEN '2016-05-30' AND '2016-06-1' AND
A.[G_L Account No_] IN ('1031', '1011','1021', '1041', '1051' )
AND
A.[G_L Account No_] NOT IN('2210','2220', '2230','2240', '2250')
2 个答案:
答案 0 :(得分：0)
您的WHERE条款有点问题，您是否可以使用NOT IN？
USE [VERPLOEGEN-NAV2009-LIVE]
SELECT SIH.[Counter Pay Card 1], SIH.[Counter Pay Card 2],A.[G_L Account No_], A.[Document No_], CAST(CONVERT(VARCHAR, A.[Posting Date])AS DATETIME)
FROM [Verploegen POC$Sales Invoice Header] SIH
LEFT JOIN
[Verploegen POC$G_L Entry] A
ON SIH.No_ = A.[Document No_]
WHERE
SIH.[Counter Pay Card 1] <> '0.00000000000000000000'
AND A.[Posting Date] BETWEEN '2016-05-30' AND '2016-07-18'
AND A.[G_L Account No_] NOT IN ('1031', '1011', '1021', '1041', '1051', '2210', '2220', '2230', '2240', '2250')
如果不看输入数据，很难知道这一点。此外，最好只包含与问题相关的代码。注释掉代码并不是必需的，并且会让一些人失望。
这种逻辑不起作用的原因;
A.[G_L Account No_] <> '2210' OR a.[G_L Account No_] <> '2220'
如果您的值为2210，那么它会使第一个子句失败，但因为您使用的是OR而不是AND，所以它会传递第二个条件（因为{ {1}}）并返回该值。您可以将这些更改为2201 <> 2220以查看更改，但我肯定会使用AND。
答案 1 :(得分：0)
由于数据或代码没有任何问题，唯一的结论是没有执行A.[G_L Account No_] NOT IN的行。
你可能没有错误地标记它......： - ）
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