Unpivot Multiple Columns

Question

Unpivot Multiple Columns

sqlpadawan_1

SSCommitted

Points: 1571
More actions
May 3, 2013 at 12:13 pm

#277348

This is my first shot at an trying to unpivot multiple columns, and I'm not getting any results.
I have a table that has an id, and then 20 columns, 10 values and 10 exp dates. I want to unpivot it and create a table with rows of 3 columns each row (pk_value, date, exp value).
here's the code to recreate the unpivot. Unpivoting by one column works fine, when I try to unpivot by the 2nd column and then include the where clause, i don't get any records returned.
USE tempdb
GO
CREATE TABLE [dbo].[ERFiles](
[pk_value] [int] NOT NULL,
[ER_1] [decimal](14, 7) NULL,
[ER_1_ExpDate] [date] NULL,
[ER_2] [decimal](14, 7) NULL,
[ER_2_ExpDate] [date] NULL,
[ER_3] [decimal](14, 7) NULL,
[ER_3_ExpDate] [date] NULL,
[ER_4] [decimal](14, 7) NULL,
[ER_4_ExpDate] [date] NULL,
[ER_5] [decimal](14, 7) NULL,
[ER_5_ExpDate] [date] NULL,
[ER_6] [decimal](14, 7) NULL,
[ER_6_ExpDate] [date] NULL,
[ER_7] [decimal](14, 7) NULL,
[ER_7_ExpDate] [date] NULL,
[ER_8] [decimal](14, 7) NULL,
[ER_8_ExpDate] [date] NULL,
[ER_9] [decimal](14, 7) NULL,
[ER_9_ExpDate] [date] NULL,
[ER_10] [decimal](14, 7) NULL,
[ER_10_ExpDate] [date] NULL,
)
INSERT INTO [dbo].[ERFiles]([pk_value], [ER_1], [ER_1_ExpDate], [ER_2], [ER_2_ExpDate], [ER_3], [ER_3_ExpDate], [ER_4], [ER_4_ExpDate], [ER_5], [ER_5_ExpDate], [ER_6], [ER_6_ExpDate], [ER_7], [ER_7_ExpDate], [ER_8], [ER_8_ExpDate], [ER_9], [ER_9_ExpDate], [ER_10], [ER_10_ExpDate])
SELECT 1, 40.3399000, '20051231 00:00:00.000', 40.3399000, '20101231 00:00:00.000', 40.3399000, '20111231 00:00:00.000', 40.3399000, '20121231 00:00:00.000', 40.3399000, '20131231 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 2, 18.3705000, '19950930 00:00:00.000', 18.3705000, '19951231 00:00:00.000', 18.3705000, '20010101 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 3, 1.2355000, '20120930 00:00:00.000', 1.2672000, '20121031 00:00:00.000', 1.2807000, '20121130 00:00:00.000', 1.2774000, '20121231 00:00:00.000', 1.3126000, '20130131 00:00:00.000', 1.3222000, '20130228 00:00:00.000', 1.3567000, '20130331 00:00:00.000', 1.3271000, '20130430 00:00:00.000', 1.3469000, '20130531 00:00:00.000', 0.0000000, NULL UNION ALL
SELECT 4, 1.2041000, '20121231 00:00:00.000', 1.2096000, '20130131 00:00:00.000', 1.2385000, '20130228 00:00:00.000', 1.2347000, '20130331 00:00:00.000', 1.2222000, '20130430 00:00:00.000', 1.2149000, '20130531 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 5, 1.3440000, '20090831 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 6, 1.9558300, '20051231 00:00:00.000', 1.9558300, '20101231 00:00:00.000', 1.9558300, '20111231 00:00:00.000', 1.9558300, '20121231 00:00:00.000', 1.9558300, '20131231 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 7, 0.8149900, '19950930 00:00:00.000', 0.8149900, '19951231 00:00:00.000', 0.8149900, '20010101 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 8, 7.4574000, '20121231 00:00:00.000', 7.4608000, '20130131 00:00:00.000', 7.4629000, '20130228 00:00:00.000', 7.4604000, '20130331 00:00:00.000', 7.4532000, '20130430 00:00:00.000', 7.4562000, '20130531 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 9, 3.5310730, '19950930 00:00:00.000', 3.5310730, '19951231 00:00:00.000', 3.5310730, '20010101 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL UNION ALL
SELECT 10, 0.1400000, '20100630 00:00:00.000', 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL, 0.0000000, NULL
SELECT pk_value
,ERValue
,ERExpDate
FROM ( SELECT [pk_value]
,[ER_1]
,[ER_1_ExpDate]
,[ER_2]
,[ER_2_ExpDate]
,[ER_3]
,[ER_3_ExpDate]
,[ER_4]
,[ER_4_ExpDate]
,[ER_5]
,[ER_5_ExpDate]
,[ER_6]
,[ER_6_ExpDate]
,[ER_7]
,[ER_7_ExpDate]
,[ER_8]
,[ER_8_ExpDate]
,[ER_9]
,[ER_9_ExpDate]
,[ER_10]
,[ER_10_ExpDate]
FROM [dbo].[ERFiles]
) M UNPIVOT ( ERExpDate FOR ERExpDates IN ( ER_1_ExpDate, ER_2_ExpDate,
ER_3_ExpDate, ER_4_ExpDate,
ER_5_ExpDate, ER_6_ExpDate,
ER_7_ExpDate, ER_8_ExpDate,
ER_9_ExpDate,
ER_10_ExpDate ) ) U1
UNPIVOT ( ERValue FOR ERValues IN ( ER_1, ER_2, ER_3, ER_4, ER_5, ER_6,
ER_7, ER_8, ER_9, ER_10 ) ) U2
WHERE RIGHT(ERExpDates, 1) = RIGHT(ERValues, 1);
It's probably something simple, but I not seeing it. Any ideas?
Thanks

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Lowell SSC Guru Points: 323522 More actions · Answer 1

great job providing the same DDL and Data!

maybe i'm missing the hard part of the question and overlooking the obvious,it, but does this do what you want? a simple union, ten times for each value/date pair in the table?

SELECT [pk_value], ER_1,ER_1_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_2,ER_2_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_3,ER_3_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_4,ER_4_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_5,ER_5_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_6,ER_6_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_7,ER_7_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_8,ER_8_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_9,ER_9_ExpDate FROM [dbo].[ERFiles] UNION ALL

SELECT [pk_value], ER_10,ER_10_ExpDate FROM [dbo].[ERFiles]

Lowell

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sqlpadawan_1 SSCommitted Points: 1571 More actions · Answer 2

Thanks for the response. I guess I thought it would be cool to use an unpivot, but the union works and after reading some additional posts on unpivot, maybe it's not as cool as it sounds.

Unpivot Multiple Columns

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