Forgive me if I don't know the terminology,
I'm not a full time db developer.
But a SEQ Key sounds like a primary key.
And it was already stated that there is no primary key.

And I'm not sure why a row wouldn't stay intact.
Could you elaborate?

Matt


> -----Original Message-----
> From: Stephen Garrett [SMTP:[EMAIL PROTECTED]]
> Sent: Friday, March 15, 2002 3:14 PM
> To:   SQL
> Subject:      RE: need help with large database update
> 
> I think this is a good idea, but doesn't it depend upon whether
> you need to keep an original row intact, as it probably has
> a numeric SEQ Key assigned to it?? 
> 
> How could you do that with the distinct method, and keep the original
> row in place? (eg it had an assigned part number or sum such)
> 
> Steve
> 
> At 03:05 PM 3/15/2002 -0500, Cottell, Matthew wrote:
> >Couldn't you insert the all the records in one fell swoop.
> >Then perform a Select Distinct on all the rows?
> >Insert those records into a new table, and Voila, your done.
> >
> >As I understand what you're saying,
> >either the row is a complete match, or its a completely unique record.
> >There's no instances of some of the data being the same and having to
> choose
> >which record to include.
> >Or am I missing something?
> >
> >Matt
> >
> >
> >> -----Original Message-----
> >> From:      Mark Warrick [SMTP:[EMAIL PROTECTED]]
> >> Sent:      Friday, March 15, 2002 2:45 PM
> >> To:        SQL
> >> Subject:   Re: need help with large database update
> >> 
> >> I have to compare each row of new data with existing
> >> data because there are no primary keys.  So I can't
> >> just append new data into the table because then I
> >> might have duplicate data in the table.
> >> 
> >> Just to be clear, "New" data doesn't necessarily mean
> >> that the data doesn't already exist in the table.  It
> >> just means it's a new datafile.
> >> 
> >> ---mark
> >> 
> >> 
> >> --- Douglas Brown <[EMAIL PROTECTED]> wrote:
> >> > Question....Why are you comparing the data before
> >> > updating? If the data that you are updating with is
> >> > the same data, it would not matter and also if their
> >> > is new data then that would be adjusted accordingly.
> >> > Maybe I'm confused.
> >> > 
> >> > 
> >> > 
> >> > 
> >> > 
> >> > 
> >> > 
> >> > 
> >> > 
> >> > 
> >> > 
> >> > "Success is a journey, not a destination!!"
> >> > 
> >> > 
> >> > 
> >> > Doug Brown
> >> > ----- Original Message ----- 
> >> > From: "Kelly Matthews" <[EMAIL PROTECTED]>
> >> > To: "SQL" <[EMAIL PROTECTED]>
> >> > Sent: Friday, March 15, 2002 11:05 AM
> >> > Subject: Re: need help with large database update
> >> > 
> >> > 
> >> > > why not do it via a stored procedure... much
> >> > quicker...
> >> > > 
> >> > > ---------- Original Message
> >> > ----------------------------------
> >> > > From: Mark Warrick <[EMAIL PROTECTED]>
> >> > > Reply-To: [EMAIL PROTECTED]
> >> > > Date:  Fri, 15 Mar 2002 11:02:51 -0800 (PST)
> >> > > 
> >> > > >Hello All,
> >> > > >
> >> > > >I have a database of about 85,000 records which
> >> > has 15
> >> > > >columns.  I need to update this database with a
> >> > > >datafile that contains the same schema and just
> >> > as
> >> > > >many records.
> >> > > >
> >> > > >For each row that is going to be imported, I have
> >> > to
> >> > > >compare all 15 columns of data for each row
> >> > against
> >> > > >all 15 columns of each row in the database to see
> >> > if
> >> > > >there's a match, and if not, then import the new
> >> > data.
> >> > > >
> >> > > >Every query I've written with ColdFusion to do
> >> > this
> >> > > >seems to kill the server.  Even comparing one row
> >> > of
> >> > > >data seems to put extreme load on the server.
> >> > > >
> >> > > >Anyone got a clue as to how I might accomplish
> >> > this
> >> > > >goal?  I may be willing to pay somebody to do
> >> > this.
> >> > > >
> >> > > >---mark
> >> > > >
> >> > > >
> >> > >
> >> > >__________________________________________________
> >> > > >Do You Yahoo!?
> >> > > >Yahoo! Sports - live college hoops coverage
> >> > > >http://sports.yahoo.com/
> >> > > >
> >> > > 
> >> >
> >> 
> >> 
> >
> 
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