SQL Server 2008 R2 - Dynamic Pivot/Unpivot med (flyttande) datum

Du måste först UNPIVOT våra kolumner och använd DENSE_RANK() för att ge dig något att vända på senare. Lägg detta resultat i en temporär tabell så att du kan få en kommaseparerad lista över DESNSE_RANK kolumner. Skapa sedan en UNION så att Day och Date är en del av samma kolumn som det som inte var pivoterat. Detta kan läggas in i en global temptabell för användning i den dynamiska SQL. Skapa en variabel som lagrar listan med kolumner och bygger den dynamiska SQL-filen och exekverar den.

Ett fullständigt exempel (uppenbarligen inte släpp PhaseFlowChart tabell)

-- pre-cleanup
IF OBJECT_ID('[dbo].[PhaseFlowChart]') IS NOT NULL
    DROP TABLE [dbo].[PhaseFlowChart]
GO

IF OBJECT_ID('tempdb..#tmp') IS NOT NULL
    DROP TABLE #tmp
GO

IF OBJECT_ID('tempdb..##tmp') IS NOT NULL
    DROP TABLE ##tmp
GO

-- setup table and data
CREATE TABLE [dbo].[PhaseFlowChart](
    [pfckey] [int] NULL,
    [hourlykey] [bigint] NULL,
    [daykey] [bigint] NULL,
    [weekkey] [int] NULL,
    [monthkey] [int] NULL,
    [bbkey] [int] NULL,
    [Day] [varchar](100) NULL,
    [Date] [varchar](100) NULL,
    [Bull Bear Gap] [varchar](100) NULL,
    [Monthly] [varchar](100) NULL,
    [Weekly] [varchar](100) NULL,
    [Daily] [varchar](100) NULL,
    [Hour 1] [varchar](100) NULL,
    [Hour 2] [varchar](100) NULL,
    [Hour 3] [varchar](100) NULL,
    [Hour 4] [varchar](100) NULL,
    [Hour 5] [varchar](100) NULL,
    [Hour 6] [varchar](100) NULL,
    [Hour 7] [varchar](100) NULL
) ON [PRIMARY]

INSERT INTO [dbo].PhaseFlowChart 
    ([Day], [Date], [Bull Bear Gap], Monthly, Weekly, Daily, 
        [Hour 1], [Hour 2], [Hour 3], [Hour 4], [Hour 5], [Hour 6], [Hour 7])
VALUES
('MON', '20130101', 'P1', 'P1', 'P1', 'P1', 'P1', 'P1', 'P1', 'P1', 'P1', 'P1', 'P1'),
('TUE', '20130102', 'P2', 'P2', 'P2', 'P2', 'P2', 'P2', 'P2', 'P2', 'P2', 'P2', 'P2'),
('WED', '20130103', 'P3', 'P3', 'P3', 'P3', 'P3', 'P3', 'P3', 'P3', 'P3', 'P3', 'P3'),
('THU', '20130104', 'P4', 'P4', 'P4', 'P4', 'P4', 'P4', 'P4', 'P4', 'P4', 'P4', 'P4'),
('FRI', '20130105', 'P5', 'P5', 'P5', 'P5', 'P5', 'P5', 'P5', 'P5', 'P5', 'P5', 'P5'),
('SAT', '20130106', 'P6', 'P6', 'P6', 'P6', 'P6', 'P6', 'P6', 'P6', 'P6', 'P6', 'P6'),
('SUN', '20130107', 'P7', 'P7', 'P7', 'P7', 'P7', 'P7', 'P7', 'P7', 'P7', 'P7', 'P7')
GO

-- unpivot the columns into 'categories'
SELECT [Day], [Date], [Value], [Category], 
    DENSE_RANK() OVER (ORDER BY CAST([Date] AS DATE)) dr 
INTO #tmp
FROM PhaseFlowChart pfc
UNPIVOT (
    Value FOR Category IN ([Bull Bear Gap], Monthly, Weekly, Daily, 
                            [Hour 1], [Hour 2], [Hour 3], [Hour 4], 
                                [Hour 5], [Hour 6], [Hour 7])

) upiv

-- create a global temp table for use later
SELECT *
INTO ##tmp
FROM (
      -- union data into single category column
    SELECT 'Day' Category, [Day] Value, dr, 1 o FROM #tmp
    UNION ALL
    SELECT 'Date' Category, [Date] Value, dr, 2 o FROM #tmp
    UNION ALL
    SELECT [Category], Value, dr, 3 o FROM #tmp
) t

-- get a comma seperated list of columns for the PIVOT
DECLARE @cols VARCHAR(MAX) = 
STUFF(CAST((SELECT ',' + QUOTENAME(dr)
       FROM (
           SELECT DISTINCT dr
           FROM #tmp
       ) t
       ORDER BY dr
       FOR XML PATH(''), TYPE
      ) AS VARCHAR(MAX)),1,1,'')

-- create and execute the sql
DECLARE @sql VARCHAR(MAX) = '
    SELECT Category, ' + @cols + '
    FROM ##tmp
    PIVOT (
        MAX([Value])
        FOR dr IN (' + @cols + ')
    ) piv   
      ORDER BY o, CASE Category 
                    WHEN ''Daily'' THEN 4
                    WHEN ''Weekly'' THEN 3
                    WHEN ''Monthly'' THEN 2
                    WHEN ''Bull Bear Gap'' THEN 1
                    ELSE 5 END, Category
'

EXEC(@sql)