I have a set of tables in SQL Server 2005 which contain timeseries data. There is hence a datetime field and a set of values.
CREATE TABLE [dbo].[raw_data](
[Time] [datetime] NULL,
[field1] [float] NULL,
[field2] [float] NULL,
[field3] [float] NULL
)
The datetime field is unfortunately not a unique key, and there appear to be a lot of datetime values with multiple (non-identical) entries - hence DISTINCT doesn't work.
I want to select data from these tables for insertion into a new, properly indexed table.
Hence I want a select query that will return a dataset with a single row entry for each Time. I am not concerned which set of values is selected for a given time, as long as one (and only one) is chosen.
There are a LOT of these tables, so I do not have time to find and manually purge duplicate values, so a standard HAVING COUNT(*)>1 query is not applicable. There are also too many duplicates to just ignore those time values altogether.
Any ideas? I was thinking of some kind of cursor based on PARTITION BY, but got stuck beyond that point.