Question

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.

Answer 1

You don’t need a cursor:

SELECT tmp.*
FROM
(
    SELECT *, ROW_NUMBER() OVER (PARTITION BY [Time] ORDER BY [Time]) AS RowNum
    FROM raw_data
) AS tmp
WHERE tmp.RowNum = 1