data in row needs to be in colums

I have a data table that is set up like this

ID           DateTime                          Data  Inc1  Inc2  Inc3  Inc4  Inc5  Inc6  
354        3/15/2012 8:00 AM          150    25     10        5       15    10      20

all Data is setup like this in the table   there is a data value and then an incremental value for each hour.  So that  INC1  is the addition withing the hour.  So at inc1  you take 25 and add it to 150 to get a total of 175 and the time value would be 3/15/2012  9:00 AM.

So i am wanting to get an end result like this

ID               DateTime                    Data
354        3/15/2012 8:00 AM          150
354        3/15/2012 9:00 AM          175
354        3/15/2012 10:00 AM        185
354        3/15/2012 11:00 AM        190
354        3/15/2012 12:00 PM        205
354        3/15/2012 1:00 PM          215
354        3/15/2012 2:00 PM          235

I hope this makes sense.  I have no idea how to do this.  any insight would be  appreciated.
BrickwallAsked:
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micropc1Connect With a Mentor Commented:
Sure, a UNION will also work, but you'll need to do it like this to get your desired result...

SELECT [ID], [DateTime], [Data]
FROM (
      SELECT [ID]
            , [DateTime]
            , [Data]
      FROM [yourTableName]
      UNION ALL
      SELECT [ID]
            , DATEADD(hour, 1, [DateTime]) AS [DateTime]
            , [Data] + [Inc1] AS [Data]
      FROM [yourTableName]
      UNION ALL
      SELECT [ID]
            , DATEADD(hour, 2, [DateTime]) AS [DateTime]
            , [Data] + [Inc1] + [Inc2] AS [Data]
      FROM [yourTableName]
      UNION ALL
      SELECT [ID]
            , DATEADD(hour, 3, [DateTime]) AS [DateTime]
            , [Data] + [Inc1] + [Inc2] + [Inc3] AS [Data]
      FROM [yourTableName]
      UNION ALL
      SELECT [ID]
            , DATEADD(hour, 4, [DateTime]) AS [DateTime]
            , [Data] + [Inc1] + [Inc2] + [Inc3] + [Inc4] AS [Data]
      FROM [yourTableName]
      UNION ALL
      SELECT [ID]
            , DATEADD(hour, 5, [DateTime]) AS [DateTime]
            , [Data] + [Inc1] + [Inc2] + [Inc3] + [Inc4] + [Inc5] AS [Data]
      FROM [yourTableName]
      UNION ALL
      SELECT [ID]
            , DATEADD(hour, 6, [DateTime]) AS [DateTime]
            , [Data] + [Inc1] + [Inc2] + [Inc3] + [Inc4] + [Inc5] + [Inc6] AS [Data]
      FROM [yourTableName]) T
ORDER BY [ID] ASC, [Data] ASC
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micropc1Commented:
UNPIVOT should do what you need...

SELECT u.ID, u.[DateTime], u.Data
FROM 
   (SELECT ID
		, [DateTime]
		, Data AS Data1
		, Data + Inc1 AS Data2
		, Data + Inc1 + Inc2 AS Data3
		, Data + Inc1 + Inc2 + Inc3 AS Data4
		, Data + Inc1 + Inc2 + Inc3 + Inc4 AS Data5
		, Data + Inc1 + Inc2 + Inc3 + Inc4 + Inc5 AS Data6
		, Data + Inc1 + Inc2 + Inc3 + Inc4 + Inc5 + Inc6 AS Data7
	FROM pvt) p
UNPIVOT
   ([Data] FOR dIndex IN (Data1, Data2, Data3, Data4, Data5, Data6, Data7))AS u

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micropc1Commented:
I just realized you need the date to increment also. I'll have to get back to you on that one...
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BrickwallAuthor Commented:
Yeah that was the issue i was having too.
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micropc1Commented:
This should do it...

SELECT u.ID, DATEADD(hh, ROW_NUMBER() OVER (ORDER BY u.ID, u.[Data]) - 1, u.[DateTime]) AS [DateTime], u.Data
FROM 
   (SELECT ID
		, [DateTime]
		, Data AS Data1
		, Data + Inc1 AS Data2
		, Data + Inc1 + Inc2 AS Data3
		, Data + Inc1 + Inc2 + Inc3 AS Data4
		, Data + Inc1 + Inc2 + Inc3 + Inc4 AS Data5
		, Data + Inc1 + Inc2 + Inc3 + Inc4 + Inc5 AS Data6
		, Data + Inc1 + Inc2 + Inc3 + Inc4 + Inc5 + Inc6 AS Data7
	FROM yourTableName) p
UNPIVOT
   ([Data] FOR dIndex IN (Data1, Data2, Data3, Data4, Data5, Data6, Data7))AS u
ORDER BY u.ID, u.[Data]

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BrickwallAuthor Commented:
ok we are almost there.  The only issue i have now.  Is there is a new row for each 24 hour incremenet.  and your query when i run it for a period of time it adds an extra day to the date.  So basically
ID           DateTime                          Data  Inc1  Inc2  Inc3  Inc4  Inc5  Inc6  
354        3/15/2012 8:00 AM          150    25     10        5       15    10      20
354        3/16/2012 8:00AM           240  

Becomes
ID               DateTime                    Data
354        3/15/2012 8:00 AM          150
354        3/15/2012 9:00 AM          175
354        3/15/2012 10:00 AM        185
354        3/15/2012 11:00 AM        190
354        3/15/2012 12:00 PM        205
354        3/15/2012 1:00 PM          215
354        3/15/2012 2:00 PM          235
354        3/17/2012 8:00 AM


So close but just a little off
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Patrick MatthewsConnect With a Mentor Commented:
No need for UNPIVOT, plus this has the benefit of being applicable to SQL Server 2000 or earlier:


SELECT [ID], [DateTime], [Data]
FROM [SomeTable]
WHERE [Data] IS NOT NULL
UNION ALL
SELECT [ID], DATEADD(hour, 1, [DateTime] AS [DateTime], [Inc1] AS [Data]
FROM [SomeTable]
WHERE [Inc1] IS NOT NULL
UNION ALL
SELECT [ID], DATEADD(hour, 2, [DateTime] AS [DateTime], [Inc2] AS [Data]
FROM [SomeTable]
WHERE [Inc2] IS NOT NULL
UNION ALL
SELECT [ID], DATEADD(hour, 3, [DateTime] AS [DateTime], [Inc3] AS [Data]
FROM [SomeTable]
WHERE [Inc3] IS NOT NULL
etc
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micropc1Commented:
Here's a fixed version of the UNPIVOT statement...added a modulo operation to reset the time increment on every 7 rows...

SELECT u.ID, DATEADD(hh, (ROW_NUMBER() OVER (ORDER BY u.ID, u.[Data]) - 1) % 7, u.[DateTime]) AS [DateTime], u.Data
FROM 
   (SELECT ID
		, [DateTime]
		, Data AS Data1
		, Data + Inc1 AS Data2
		, Data + Inc1 + Inc2 AS Data3
		, Data + Inc1 + Inc2 + Inc3 AS Data4
		, Data + Inc1 + Inc2 + Inc3 + Inc4 AS Data5
		, Data + Inc1 + Inc2 + Inc3 + Inc4 + Inc5 AS Data6
		, Data + Inc1 + Inc2 + Inc3 + Inc4 + Inc5 + Inc6 AS Data7
	FROM yourTableName) p
UNPIVOT
   ([Data] FOR dIndex IN (Data1, Data2, Data3, Data4, Data5, Data6, Data7))AS u
ORDER BY u.ID, u.[Data]

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BrickwallAuthor Commented:
Thanks Guys that Works.  I was able to get it working using the Union All. Instea of the unpivot.  it worked better for my application.  Especially since some of the fields were null if the system did not report..  I am going to split the points.  Thank you so Much
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