in access, the following SQL oughta show up the records that are in your
funky table but not in costar.

##################
SELECT * FROM Funky 
LEFT JOIN CoStar ON Funky.Address = CoStar.Address
WHERE CoStar.Address Is Null;
##################

you can then plow through them altering the funky items to fit existing
stuff within the costar table.  an option which might help here is to make
up some queries which apply a bit of fuzzy logic to selecting them.  this
will involve black magic and InStr and InStrRev and long ugly equations with
Left$ and Right$ featuring predominantly.

let us know if it needs more input.

-----Original Message-----
From: Jennifer Blek [mailto:[EMAIL PROTECTED]
Sent: Friday, 12 December 2003 7:00 AM
To: [EMAIL PROTECTED]
Cc: [EMAIL PROTECTED]
Subject: MI-L Access & MapInfo


Hi, all !!!
I'm adjusting an Access database, but doing most of the table work in
MapInfo. I have two tables.
One has CoStar addresses (40 character column) and a unique ID for each
address name.
The second has different IDs and buildings with addresses (40 character
column) that are usually identical to CoStar, but occasionally they're
different (e.g. Conn instead of Connecticut, 815 Fairfax instead of
815-817 N Fairfax). I found as many as I could and replaced them with
CoStar addresses, but there are 3,500 buildings, and I don't want to
spend too much time on it.

What I want to be able to do is to identify all objects (funky
addresses) in the the second table that aren't objects (CoStar
addresses) in the first table. That way I can change the funky ones to
fit their CoStar counterparts. The problem is that the tables aren't
geocoded and can't be.

Have any ideas on the query to do this in MapInfo or Access? Also, how
long should a query like that take?




Jennifer Blek
GIS Manager
STUDLEY
10960 Wilshire Blvd., Suite 1700
Los Angeles, CA 90024
Phone:  310 444-1013
Fax:      310 444-1099

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