我之前发布过一个关键问题并得到了解答。但是,这种特殊情况需要日期作为标题,并且每次生成数据透视表时日期都会更改(并且未知)。我相信我需要基于一些示例的动态透视/逆透视,但我无法弄清楚语法。
这是表格:
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]
我不需要输出中的任何“关键”列。因此,这是表格上的一个简单选择:
select [DAY],[Date],[Bull Bear Gap],[Monthly],[Weekly],[Daily],[Hour 1],[Hour 2],[Hour 3],[Hour 4],[Hour 5],[Hour 6],[Hour 7]
from PhaseFlowChart
order by pfckey asc
这是上面的输出:
我希望输出(动态数据透视/反透视?)看起来像这样(同样,每次生成的日期都会不同,这是每天生成的):
最后,我在网上找到了这个sql,但经过几天的语法操作,我不知道如何移植它来满足我的需求。
CREATE TABLE #yt
([ID] int, [expense] int, [revenue] int, [date] datetime)
;
INSERT INTO #yt
([ID], [expense], [revenue], [date])
VALUES
(1, 43, 45, '2012-12-31 00:00:00'),
(2, 32, 32, '2013-01-01 00:00:00'),
(3, 64, 56, '2013-01-31 00:00:00'),
(4, 31, 32, '2013-03-03 00:00:00')
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT ',' + QUOTENAME(c.col+'_'+convert(varchar(10), #yt.date, 110))
from #yt
cross apply
(
select 'expense' col union all
select 'revenue'
) c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT id,' + @cols + '
from
(
select id,
col+''_''+convert(varchar(10), date, 110) new_col,
value
from #yt
unpivot
(
value
for col in (expense, revenue)
) un
) src
pivot
(
sum(value)
for new_col in (' + @cols + ')
) p '
execute(@query);
非常感谢任何/所有帮助。
最佳答案
您首先需要UNPIVOT
我们的列并使用DENSE_RANK()
为您提供稍后需要的数据。将此结果放入临时表中,以便您可以获得 DESNSE_RANK
列的逗号分隔列表。然后创建一个 UNION
,以便 Day
和 Date
与取消透视的列属于同一列。可以将其放入全局临时表中以在动态 SQL 中使用。创建一个变量来存储列列表并构建动态 SQL 并执行它。
完整示例(显然不要删除 PhaseFlowChart
表)
-- 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)
关于SQL Server 2008 R2 - 具有(移动)日期的动态透视/逆透视,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/19614856/