这是我的原始数据：
CustomConfigName ColumnNumber ColumnName groupingID Value
SAPTotals 1 Batch_Reference 35 BATCH001
SAPTotals 2 Bank_Account 35 72368837
SAPTotals 3 Sequence_No 35 123
SAPTotals 4 Entry_Date 35 29/01/2019
SAPTotals 5 Opening_Balance 35 2458.65
SAPTotals 6 Closing_Balance 35 2587.99
SAPTotals 7 Total_Credits 35 76
SAPTotals 8 Total_Debits 35 34
SAPTotals 9 Impex_No 35 I907
SAPTotals 10 Export_Date 35 01/02/2019
SAPTotals 1 Batch_Reference 36 BATCH002
SAPTotals 2 Bank_Account 36 72368837
SAPTotals 3 Sequence_No 36 124
SAPTotals 4 Entry_Date 36 30/01/2019
SAPTotals 5 Opening_Balance 36 2587.99
SAPTotals 6 Closing_Balance 36 2308.32
SAPTotals 7 Total_Credits 36 154
SAPTotals 8 Total_Debits 36 776
SAPTotals 9 Impex_No 36 I907
SAPTotals 10 Export_Date 36 02/02/2019
SAPTotals 1 Batch_Reference 37 BATCH003
SAPTotals 2 Bank_Account 37 72368837
SAPTotals 3 Sequence_No 37 125
SAPTotals 4 Entry_Date 37 31/01/2019
SAPTotals 5 Opening_Balance 37 2308.32
SAPTotals 6 Closing_Balance 37 4219.37
SAPTotals 7 Total_Credits 37 345
SAPTotals 8 Total_Debits 37 87
SAPTotals 9 Impex_No 37 I907
SAPTotals 10 Export_Date 37
SAPTotals 1 Batch_Reference 38 BATCH566
SAPTotals 2 Bank_Account 38 73297699
SAPTotals 3 Sequence_No 38 344
SAPTotals 4 Entry_Date 38 30/01/2019
SAPTotals 5 Opening_Balance 38 1987.66
SAPTotals 6 Closing_Balance 38 4588.22
SAPTotals 7 Total_Credits 38 67
SAPTotals 8 Total_Debits 38 98
SAPTotals 9 Impex_No 38 I907
SAPTotals 10 Export_Date 38 04/02/2019
SAPTotals 1 Batch_Reference 39 BATCH_ABC
SAPTotals 2 Bank_Account 39 73297699
SAPTotals 3 Sequence_No 39 345
SAPTotals 4 Entry_Date 39 31/01/2019
SAPTotals 5 Opening_Balance 39 4588.22
SAPTotals 6 Closing_Balance 39 7777.25
SAPTotals 7 Total_Credits 39 999
SAPTotals 8 Total_Debits 39 2012
SAPTotals 9 Impex_No 39 I907
SAPTotals 10 Export_Date 39
这是我得到的结果：
Batch_Reference Bank_Account Sequence_No Entry_Date Opening_Balance Closing_Balance Total_Credits Total_Debits Impex_No Export_Date
39 NULL NULL NULL NULL NULL NULL NULL NULL NULL
35 NULL NULL NULL NULL NULL NULL NULL NULL NULL
36 NULL NULL NULL NULL NULL NULL NULL NULL NULL
37 NULL NULL NULL NULL NULL NULL NULL NULL NULL
38 NULL NULL NULL NULL NULL NULL NULL NULL NULL
NULL 37 NULL NULL NULL NULL NULL NULL NULL NULL
NULL 39 NULL NULL NULL NULL NULL NULL NULL NULL
NULL NULL 35 NULL NULL NULL NULL NULL NULL NULL
NULL NULL 36 NULL NULL NULL NULL NULL NULL NULL
NULL NULL 37 NULL NULL NULL NULL NULL NULL NULL
NULL NULL 38 NULL NULL NULL NULL NULL NULL NULL
NULL NULL 39 NULL NULL NULL NULL NULL NULL NULL
NULL NULL NULL 35 NULL NULL NULL NULL NULL NULL
NULL NULL NULL 38 NULL NULL NULL NULL NULL NULL
NULL NULL NULL 39 NULL NULL NULL NULL NULL NULL
NULL NULL NULL NULL 38 NULL NULL NULL NULL NULL
NULL NULL NULL NULL 37 NULL NULL NULL NULL NULL
NULL NULL NULL NULL 35 NULL NULL NULL NULL NULL
NULL NULL NULL NULL 36 NULL NULL NULL NULL NULL
NULL NULL NULL NULL 39 NULL NULL NULL NULL NULL
NULL NULL NULL NULL NULL 36 NULL NULL NULL NULL
NULL NULL NULL NULL NULL 35 NULL NULL NULL NULL
NULL NULL NULL NULL NULL 37 NULL NULL NULL NULL
NULL NULL NULL NULL NULL 38 NULL NULL NULL NULL
NULL NULL NULL NULL NULL 39 NULL NULL NULL NULL
NULL NULL NULL NULL NULL NULL 36 NULL NULL NULL
NULL NULL NULL NULL NULL NULL 37 NULL NULL NULL
NULL NULL NULL NULL NULL NULL 38 NULL NULL NULL
NULL NULL NULL NULL NULL NULL 35 NULL NULL NULL
NULL NULL NULL NULL NULL NULL 39 NULL NULL NULL
NULL NULL NULL NULL NULL NULL NULL 39 NULL NULL
NULL NULL NULL NULL NULL NULL NULL 35 NULL NULL
NULL NULL NULL NULL NULL NULL NULL 36 NULL NULL
NULL NULL NULL NULL NULL NULL NULL 37 NULL NULL
NULL NULL NULL NULL NULL NULL NULL 38 NULL NULL
NULL NULL NULL NULL NULL NULL NULL NULL 39 NULL
NULL NULL NULL NULL NULL NULL NULL NULL NULL 39
NULL NULL NULL NULL NULL NULL NULL NULL NULL 35
NULL NULL NULL NULL NULL NULL NULL NULL NULL 36
NULL NULL NULL NULL NULL NULL NULL NULL NULL 38
这是我想要的结果集：
GroupingID Batch_Reference Bank_Account Sequence_Number Entry_Date Opening_Balance Closing_Balance Total_Credits Total_Debits Impex_No Export_Date
35 BATCH001 72368837 123 29/01/2019 2458.65 2587.99 76 34 I907 01/02/2019
36 BATCH002 72368837 124 30/01/2019 2587.99 2308.32 154 776 I907 02/02/2019
37 BATCH003 72368837 125 31/01/2019 2308.32 4219.37 345 87 I907 NULL
38 BATCH566 73297699 344 30/01/2019 1987.66 4588.22 67 98 I907 04/02/2019
39 BATCH_ABC 73297699 345 31/01/2019 4588.22 7777.25 999 2012 I907 NULL
这是我的SQL：
select
pvt.Batch_Reference,
pvt.Bank_Account,
pvt.Sequence_No,
pvt.Entry_Date,
pvt.Opening_Balance,
pvt.Closing_Balance,
pvt.Total_Credits,
pvt.Total_Debits,
pvt.Impex_No,
pvt.Export_Date
from (
SELECT * FROM CustomConfigItems
) as t
Pivot
(
Max(GroupingID)
FOR ColumnName
IN
(
[Batch_Reference],
[Bank_Account],
[Sequence_No],
[Entry_Date],
[Opening_Balance],
[Closing_Balance],
[Total_Credits],
[Total_Debits],
[Impex_No],
[Export_Date]
)
) pvt
无论我尝试什么，都无法获得理想的结果。我尝试关注对此帖子的回复：Pivot table returns multiple rows with NULL, results should be grouped on one row
但是无法获得我需要的结果：-（
第一次尝试发布此消息的道歉，现在应该更加整洁……
答案 0 :(得分：0)
对已拥有的内容进行少量调整将使您到达那里。
将“ Max（GroupingID）”更改为“ Max（Value）”，因为这就是您要解决的问题。
然后要么对所有数据透视表字段进行MAX并按GroupingId进行分组，要么使用子查询仅返回GroupID，ColumnName，Value。
这是一个可行的示例：
DECLARE @CustomConfigItems TABLE
(
[CustomConfigname] NVARCHAR(100)
, [ColumnNumber] INT
, [ColumnName] NVARCHAR(100)
, [GroupingID] INT
, [Value] NVARCHAR(100)
);
INSERT INTO @CustomConfigItems (
[CustomConfigname]
, [ColumnNumber]
, [ColumnName]
, [GroupingID]
, [Value]
)
VALUES ( 'SAPTotals', '1', 'Batch_Reference', '35', 'BATCH001' )
, ( 'SAPTotals', '2', 'Bank_Account', '35', '72368837' )
, ( 'SAPTotals', '3', 'Sequence_No', '35', '123' )
, ( 'SAPTotals', '4', 'Entry_Date', '35', '29/01/2019' )
, ( 'SAPTotals', '5', 'Opening_Balance', '35', '2458.65' )
, ( 'SAPTotals', '6', 'Closing_Balance', '35', '2587.99' )
, ( 'SAPTotals', '7', 'Total_Credits', '35', '76' )
, ( 'SAPTotals', '8', 'Total_Debits', '35', '34' )
, ( 'SAPTotals', '9', 'Impex_No', '35', 'I907' )
, ( 'SAPTotals', '10', 'Export_Date', '35', '1/2/2019' )
, ( 'SAPTotals', '1', 'Batch_Reference', '36', 'BATCH002' )
, ( 'SAPTotals', '2', 'Bank_Account', '36', '72368837' )
, ( 'SAPTotals', '3', 'Sequence_No', '36', '124' )
, ( 'SAPTotals', '4', 'Entry_Date', '36', '30/01/2019' )
, ( 'SAPTotals', '5', 'Opening_Balance', '36', '2587.99' )
, ( 'SAPTotals', '6', 'Closing_Balance', '36', '2308.32' )
, ( 'SAPTotals', '7', 'Total_Credits', '36', '154' )
, ( 'SAPTotals', '8', 'Total_Debits', '36', '776' )
, ( 'SAPTotals', '9', 'Impex_No', '36', 'I907' )
, ( 'SAPTotals', '10', 'Export_Date', '36', '2/2/2019' )
, ( 'SAPTotals', '1', 'Batch_Reference', '37', 'BATCH003' )
, ( 'SAPTotals', '2', 'Bank_Account', '37', '72368837' )
, ( 'SAPTotals', '3', 'Sequence_No', '37', '125' )
, ( 'SAPTotals', '4', 'Entry_Date', '37', '31/01/2019' )
, ( 'SAPTotals', '5', 'Opening_Balance', '37', '2308.32' )
, ( 'SAPTotals', '6', 'Closing_Balance', '37', '4219.37' )
, ( 'SAPTotals', '7', 'Total_Credits', '37', '345' )
, ( 'SAPTotals', '8', 'Total_Debits', '37', '87' )
, ( 'SAPTotals', '9', 'Impex_No', '37', 'I907' )
, ( 'SAPTotals', '10', 'Export_Date', '37', '' )
, ( 'SAPTotals', '1', 'Batch_Reference', '38', 'BATCH566' )
, ( 'SAPTotals', '2', 'Bank_Account', '38', '73297699' )
, ( 'SAPTotals', '3', 'Sequence_No', '38', '344' )
, ( 'SAPTotals', '4', 'Entry_Date', '38', '30/01/2019' )
, ( 'SAPTotals', '5', 'Opening_Balance', '38', '1987.66' )
, ( 'SAPTotals', '6', 'Closing_Balance', '38', '4588.22' )
, ( 'SAPTotals', '7', 'Total_Credits', '38', '67' )
, ( 'SAPTotals', '8', 'Total_Debits', '38', '98' )
, ( 'SAPTotals', '9', 'Impex_No', '38', 'I907' )
, ( 'SAPTotals', '10', 'Export_Date', '38', '4/2/2019' )
, ( 'SAPTotals', '1', 'Batch_Reference', '39', 'BATCH_ABC' )
, ( 'SAPTotals', '2', 'Bank_Account', '39', '73297699' )
, ( 'SAPTotals', '3', 'Sequence_No', '39', '345' )
, ( 'SAPTotals', '4', 'Entry_Date', '39', '31/01/2019' )
, ( 'SAPTotals', '5', 'Opening_Balance', '39', '4588.22' )
, ( 'SAPTotals', '6', 'Closing_Balance', '39', '7777.25' )
, ( 'SAPTotals', '7', 'Total_Credits', '39', '999' )
, ( 'SAPTotals', '8', 'Total_Debits', '39', '2012' )
, ( 'SAPTotals', '9', 'Impex_No', '39', 'I907' )
, ( 'SAPTotals', '10', 'Export_Date', '39', '' );
SELECT [GroupingID]
, MAX([pvt].[Batch_Reference]) AS [Batch_Reference]
, MAX([pvt].[Bank_Account]) AS [Bank_Account]
, MAX([pvt].[Sequence_No]) AS [Sequence_No]
, MAX([pvt].[Entry_Date]) AS [Entry_Date]
, MAX([pvt].[Opening_Balance]) AS [OpeningBalane]
, MAX([pvt].[Closing_Balance]) AS [ClosingBalance]
, MAX([pvt].[Total_Credits]) AS [Total_Credits]
, MAX([pvt].[Total_Debits]) AS [Total_Debits]
, MAX([pvt].[Impex_No]) AS [Impex_No]
, MAX([pvt].[Export_Date]) AS [Export_Date]
FROM @CustomConfigItems
PIVOT (
MAX([Value]) --Pivot on this column
FOR [ColumnName] ----Make column where [Value] is in one of these
IN ( [Batch_Reference]
, [Bank_Account]
, [Sequence_No]
, [Entry_Date]
, [Opening_Balance]
, [Closing_Balance]
, [Total_Credits]
, [Total_Debits]
, [Impex_No]
, [Export_Date]
)
) [pvt]
GROUP BY [pvt].[GroupingID]
--or to simplify and not use all the aggregate functions
--use a sub query to only get GroupingID, Column and Value
SELECT *
FROM (
SELECT [GroupingID]
, [ColumnName]
, [Value]
FROM @CustomConfigItems
) AS [t]
PIVOT (
MAX([Value]) --Pivot on this column
FOR [ColumnName] ----Make column where [Value] is in one of these
IN ( [Batch_Reference], [Bank_Account], [Sequence_No], [Entry_Date], [Opening_Balance], [Closing_Balance], [Total_Credits], [Total_Debits], [Impex_No], [Export_Date] )
) [pvt];