I have a large SQL Server database with a table at about 45 million records. I am archiving this table, and need to remove all entries greater than two years ago. I have the inserting into my archive table working fine, but I'm having issues with efficiency when deleting.
My problem lies within the indexes currently on the table. I would like to delete (and archival insert) in 1000 record chunks. To do this, I need to determine the "top" 1000 records fulfilling the requirement (greater than two years old). The DateTime stamp on the row is a clustered index, so this is great for grabbing the rows. However SQL 2000 does not allow DELETE TOP 1000.... so I need to do something like:
DELETE FROM <table> WHERE [UniqueID] IN
(SELECT TOP 1000 [UniqueID] FROM <table> WHERE [DateTime] < @TwoYearsAgo)
This would work great, if UniqueID was indexed. Since it is not, this takes a very long time (it is scanning the table for each of the 1000 records to be deleted). There are no other indexes on the table that uniquely identify the records. I am told it would be too costly to compute an index on UniqueID, as this is a live DB. Can anyone point out a way to optimize this query? Thanks!