Primero debe UNPIVOT nuestras columnas y usamos DENSE_RANK() para darle algo sobre lo que pivotar más tarde. Coloque este resultado en una tabla temporal para que pueda obtener una lista separada por comas de DESNSE_RANK columnas Luego crea una UNION para que Day y Date forman parte de la misma columna que lo que no estaba pivotado. Esto se puede poner en una tabla temporal global para usar en el SQL dinámico. Cree una variable que almacenará la lista de columnas y construirá el SQL dinámico y lo ejecutará.
Un ejemplo completo (obviamente no deje caer el PhaseFlowChart mesa)
-- 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)
