具有月份和文本数据动态 SQL 的简单数据透视表 Table

Question

如何使用以下数据在动态 SQL 中创建一个简单的数据透视表 Table：

 ID Month   AssignmentMonth Designation
 1  5            May         Joe Blow
 2  5            May         Available
 3  5            May         Available
 4  5            May         Available
 5  6            June        Carry over
 6  6            June        Christopher Freeberg
 7  6            June        Ringo Starr
 8  6            June        Robert L Testcustomer
 9  7            July        Carry over
10  7            July        Carry over
11  7            July        Carry over
12  7            July        Carry over
13  8            August      Available
14  8            August      Carry over
15  8            August      Carry over
16  8            August      Carry over

所以当它完成时它看起来像下面的例子：

May               June                 July                 August

Joe Blow         Carry Over            Carry over          Available
Available        Christopher Freeburg  Carry over          Carry over
Available        Ringo Starr           Carry over          Carry over
Available        Robert L Testcustomer Carry over          Carry over

这是我的尝试，但它确实产生了正确的 results.It 只有 returns 一行。

   August        July       June                    May
   Carry over   Carry over  Robert L Testcustomer   Joe Blow

    DECLARE @cols AS NVARCHAR(MAX),
    @query  AS NVARCHAR(MAX)

    select @cols = STUFF((SELECT distinct ',' +   QUOTENAME(AssignmentMonth) 
                from @CardAssigns
        FOR XML PATH(''), TYPE
        ).value('.', 'NVARCHAR(MAX)') 
    ,1,1,'') 
SET @query = 'WITH PivotData AS
(
SELECT   Designation, AssignmentMonth      
FROM    #Temp1
)
SELECT  '+ @cols +'
FROM PivotData
PIVOT
(
MAX(Designation)
FOR AssignmentMonth
IN ( '+ @cols +' )
) as PIVOTResult'

EXECUTE(@query)

Answer 1

下面的示例使用动态查询和 ROW_NUMBER 按照您描述的方式排列值。

CREATE TABLE #Data (
    ID INT,
    Month INT,
     AssignmentMonth VARCHAR(50),
     Designation VARCHAR(50)

)
INSERT #Data VALUES
(1,5,'May','Joe Blow'),
(2,5,'May','Available'),
(3,5,'May','Available'),
(4,5,'May','Available'),
(5,6,'June','Carry over'),
(6,6,'June','Christopher Freeberg'),
(7,6,'June','Ringo Starr'),
(8,6,'June','Robert L Testcustomer'),
(9,7,'July','Carry over'),
(10,7,'July','Carry over'),
(11,7,'July','Carry over'),
(12,7,'July','Carry over'),
(13,8,'August','Available'),
(14,8,'August','Carry over'),
(15,8,'August','Carry over'),
(16,8,'August','Carry over')

DECLARE @ColumnList VARCHAR(MAX) =
    SUBSTRING((
        SELECT
            ',[' + AssignmentMonth + ']' AS [text()]
        FROM #Data
        GROUP BY AssignmentMonth
        ORDER BY MIN(ID)
        FOR XML PATH('')
    ), 2, 4000)
DECLARE @ColumnAggs VARCHAR(MAX) =
    SUBSTRING((
        SELECT
            ',MAX([' + AssignmentMonth + ']) AS [' + AssignmentMonth + ']' AS [text()]
        FROM #Data
        GROUP BY AssignmentMonth
        ORDER BY MIN(ID)
        FOR XML PATH('')
    ), 2, 4000)

DECLARE @Sql VARCHAR(MAX) =
    'SELECT ' + @ColumnAggs + ' FROM ('
    + 'SELECT ROW_NUMBER() OVER (PARTITION BY Month ORDER BY ID) AS RowId, ' + @ColumnList
    + 'FROM #Data D PIVOT (MAX(Designation) FOR AssignmentMonth IN (' + @ColumnList + ')) P'
    + ') T GROUP BY RowId'
    PRINT @Sql
EXEC (@Sql)

输出

May                            June                           July                           August
------------------------------ ------------------------------ ------------------------------ ------------------------------
Joe Blow                       Carry over                     Carry over                     Available
Available                      Christopher Freeberg           Carry over                     Carry over
Available                      Ringo Starr                    Carry over                     Carry over
Available                      Robert L Testcustomer          Carry over                     Carry over

Answer 2

您的查询存在问题，因为数据透视查询没有可作为分组依据的列。 pivot table 运算符自动 GROUP BY 来自锚查询的部分 MAX(Designation) FOR AssignmentMonth IN ... 中未列出的列，因此在您的查询中只有两个来自锚查询 Designation 和 AssignmentMonth 的列，因此您的查询没有任何额外的列可作为分组依据，因此它为您提供的 MAX(Designation) 只有一行。但是，您可以通过添加一个列来进行变通想要的结果，像这样：

SET @query = 'WITH PivotData AS
(
  SELECT   
    Designation, 
    AssignmentMonth, 
    ROW_NUMBER() OVER(PARTITION BY   AssignmentMonth ORDER BY ID) AS RN
  FROM   CardAssigns
)
SELECT  '+ @cols +'
FROM PivotData
PIVOT
(
  MAX(Designation)
  FOR AssignmentMonth
  IN ( '+ @cols +' )
) as PIVOTResult';

EXECUTE(@query);

SQL Fiddle Demo

这会给你：

|     August |       July |                  June |       May |
|------------|------------|-----------------------|-----------|
|  Available | Carry over |            Carry over |  Joe Blow |
| Carry over | Carry over |  Christopher Freeberg | Available |
| Carry over | Carry over |           Ringo Starr | Available |
| Carry over | Carry over | Robert L Testcustomer | Available |

具有月份和文本数据动态 SQL 的简单数据透视表 Table

Simple Pivot Table with Month and text data Dynamic SQL

sql

tsql

sql-server

pivot