This is a really weird question, but I am having issues uniquely identifying records from a flat file that I need to import into a SQL Server DB. The problem is that the best and most efficient way to uniquely indentify the records, because the records can match in almost everyway other than a free text field, is with a time stamp. I don't care as to what "time" old records have because all that was given was a date, but I wanted to figure out a way to set up the system so the first record would have 00:00:00 AM, the second record would have 00:00:01 AM.
I was wondering if anyone has worked in SQL Server enough to figure out a way to automatically do this. The database is for small business needs only, and from previous analysis, I am expecting that the amount of records in the flat file format is roughly between 500,000-700,000 records. Anyone know a good way to do this? I would be extremely grateful.
This is a major project overload because someone's old poorly written project has crashed and they want a solution from me soon. Please help.
I was wondering if anyone has worked in SQL Server enough to figure out a way to automatically do this. The database is for small business needs only, and from previous analysis, I am expecting that the amount of records in the flat file format is roughly between 500,000-700,000 records. Anyone know a good way to do this? I would be extremely grateful.
This is a major project overload because someone's old poorly written project has crashed and they want a solution from me soon. Please help.