SQL Server - 数据透视的枢轴点

我是SQL数据透视查询的新手，并且陷入数据透视的透视结果。SQL Server - 数据透视的枢轴点

我有一个名为“ExampleSales”的表。我想找到每月（甚至每日，每周，每月，每年）员工和项目明智的销售额。以下是表，示例数据和第一级枢轴的示例。

CREATE TABLE [dbo].[ExampleSales](
    [SalesId] [int] IDENTITY(1,1) NOT NULL, 
    [ItemCode] [varchar](50) NOT NULL, 
    [EmployeeName] [varchar](250) NOT NULL, 
    [Amount] [decimal](18, 2) NOT NULL, 
    [SalesDate] [datetime2](7) NOT NULL, 
CONSTRAINT [PK_ExampleSales] PRIMARY KEY CLUSTERED 
(
    [SalesId] ASC 
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] 
) ON [PRIMARY]

的样本数据：

SET IDENTITY_INSERT [dbo].[ExampleSales] ON 

GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (1, N'A1', N'Michel John', CAST(120.00 AS Decimal(18, 2)), CAST(0x07207D922A5ADF3C0B AS DateTime2)) 
GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (2, N'A1', N'Mark Ven', CAST(50.00 AS Decimal(18, 2)), CAST(0x07D07748385AF33C0B AS DateTime2)) 
GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (3, N'A2', N'Michel John', CAST(50.00 AS Decimal(18, 2)), CAST(0x07F05983465A023D0B AS DateTime2)) 
GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (4, N'A2', N'Mark Ven', CAST(150.00 AS Decimal(18, 2)), CAST(0x073054DF505AFD3C0B AS DateTime2)) 
GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (5, N'A3', N'Michel John', CAST(23.00 AS Decimal(18, 2)), CAST(0x0730AC235F5ADF3C0B AS DateTime2)) 
GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (6, N'A3', N'Mark Ven', CAST(56.00 AS Decimal(18, 2)), CAST(0x07F02161695AF33C0B AS DateTime2)) 
GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (7, N'A4', N'Michel John', CAST(54.00 AS Decimal(18, 2)), CAST(0x07C09BB2825A023D0B AS DateTime2)) 
GO 
INSERT [dbo].[ExampleSales] ([SalesId], [ItemCode], [EmployeeName], [Amount], [SalesDate]) VALUES (8, N'A4', N'Mark Ven', CAST(100.00 AS Decimal(18, 2)), CAST(0x0750622E925ADB3C0B AS DateTime2)) 
GO 
SET IDENTITY_INSERT [dbo].[ExampleSales] OFF 
GO

第一级枢查询

SELECT 
DateName(month , DateAdd(month , DATEPART(m,SalesDate) , 0) - 1) AS 'month',EmployeeName,[A1] ,[A2],[A3],[A4] 
    FROM 
     (SELECT 
       Salesid,SalesDate,EmployeeName,ItemCode 
     FROM 
       ExampleSales 
     ) AS SourceTable 
    PIVOT 
    (
     COUNT(Salesid) 
     FOR ItemCode IN([A1] ,[A2],[A3],[A4]) 
    ) AS PivotTable

Output of my first pivot query is

现在，我在这里停留。我希望下一个级别如下。

Need covert first pivot to next level pivot as below

来源

2017-07-20 Chirag Mehta

对于动态之一：

使用方法如下：

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

SET @cols = STUFF((SELECT distinct ',' + QUOTENAME(concat(c.employeename,'(',c.itemcode,')')) 
      FROM examplesales c 
      FOR XML PATH(''), TYPE 
      ).value('.', 'NVARCHAR(MAX)') 
     ,1,1,'') 

set @query = 'select * from 
(select salesid,datename(month,salesdate) as mn,concat(employeename,''('',itemcode,'')'') as items from examplesales 
) as S 
pivot 
(
count(salesid) 
for items in ('[email protected]+')) p ' 


execute(@query)

来源

2017-07-20 10:11:56

你可以做到这一点，如下所示：

select * from 
(select salesid,datename(month,salesdate) as mn,concat(employeename,'(',itemcode,')') as items from examplesales 
) as S 
pivot 
(
count(salesid) 
for items in ([Michel John(A1)],[Mark Ven(A1)],[Michel John(A2)],[Mark Ven(A2)], 
          [Michel John(A3)],[Mark Ven(A3)],[Michel John(A4)],[Mark Ven(A4)]) 
          ) p

结果是：

来源

2017-07-20 06:08:05

感谢Ranjana为我冗长的查询提供了非常简单的解决方案。只是想知道如何使这个列动态。 –

下面是一个让Cols动态的好方法吗？ DECLARE @c AS NVARCHAR（MAX）， @q AS NVARCHAR（MAX） SET @c = STUFF（（SELECT DISTINCT '' + QUOTENAME（CONCAT（employeename， '（'，itemcode， '）'）） FROM [DBO]。[examplesales]ç FOR XML PATH（ ''），TYPE ）。价值（ ' ' 'NVARCHAR（MAX）'），1,1，''） SELECT @作为S pivot（count）选择*从（选择salesid，datename（month，salesdate）as mn，concat（employeename，''（''，itemcode，''）''）作为来自样本销售的项目）（（+'c +'）项目的销售ID）p' EXEC SP_EXECUTESQL @q –

你好@ChiragMehta我已经评论过另一个动态的答案。 –

SQL Server - 数据透视的枢轴点

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