Best Approach to Compare Current Data to New Data in a Record.

Which is the best approach in comparing current data to new data for every single record before making updates?
What I have is a table with 5,000 records that need to be updated every week with data from a data feed, but I dont want to update every single record week after week. I want to update only records with different data.
I can think of these options:
1) two cursors (one for current data and one for new)
2) one cursor for new data and one varray for current data
3) one cursor for new data and a select into for current data.
Thanks for your help.

I don't recommend it over merge, but in theory you could use a checksum (OWA_OPT_LOCK.checksum()) on the rows and if they differ then copy the new row into the destination table. Or you might be able to use rowscn to see if things have changed.
Like I said, I don't know that I 'd take either approach over merge, but they are options.
Gaff
Edited by: Gaff on Feb 11, 2009 3:25 PM
Actually, rowscn between 2 tables may not be an option. I know you can turn a rowscn into a time value so if that rowscn is derived from anything but the column values for the row that would foil that approach.

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Best Approach to Compare Current Data to New Data in a Record.

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