[AccessD] Fastest Way

Actually don't want to delete and import - just bypass the incoming records
that are already in the table.

R 

-----Original Message-----
From: accessd-bounces at databaseadvisors.com
[mailto:accessd-bounces at databaseadvisors.com] On Behalf Of Jurgen Welz
Sent: Thursday, January 14, 2010 9:52 AM
To: accessd at databaseadvisors.com
Subject: Re: [AccessD] Fastest Way


Using the queries is probably the quickest.  Creating a five field index
requires a lot of work to maintain.  Joining all five fields to an
intermediate query of the master table, perhaps matching the date range
only, and using the result as the basis for a bulk delete against the import
data and then appending the balance would be very fast.  An 'unmatched
records' query would definitely be slower.

Ciao Jürgen Welz Edmonton, Alberta jwelz at hotmail.com


 
> From: Lambert.Heenan at chartisinsurance.com
> To: accessd at databaseadvisors.com
> Date: Thu, 14 Jan 2010 12:05:11 -0500
> Subject: Re: [AccessD] Fastest Way
> 
> 
> As they say, suck it and see. :-)
> 
> I suspect that Query #3 will return the complete result set a lot faster
than FindNext will take to locate them one at a time. So just throw the
query together and see how long it take to run.
> 
> Lambert
> 
> -----Original Message-----
> From: accessd-bounces at databaseadvisors.com 
> [mailto:accessd-bounces at databaseadvisors.com] On Behalf Of Rocky 
> Smolin
> Sent: Thursday, January 14, 2010 11:28 AM
> To: 'Access Developers discussion and problem solving'
> Subject: Re: [AccessD] Fastest Way
> 
> Lambert:
> 
> That looks like a good approach. Query on 2) would be interesting but I'm
not sure I would need that information if I use the query in 3) to process
just the incoming records that are not already present. I'm a little
concerned about the time the Unmatched Query will take when there are
3-4,000,000 records in the table especially since the table in the back end
is on a server. But it wouldn't take long to implement.
> 
> Thanks
> 
> Rocky

 		 	   		  
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