RE: Sql question

["Alexei Pytel" <pytel@xxxxxxxxxx>]

How about this:

      With  SET1(cust1) as
            (       Select distinct cust# from transfile
                          where item# = '12a'
            ),
            SET2(cust2) as
            (       Select distinct cust# from transfile
                          where item# = '13a'
            )
      Select distinct cust1 from set1 exception join set2 on cust1 = cust2


    Alexei Pytel





                      "Walden H.
                      Leverich"                 To:       
"'midrange-l@midrange.com'"
                      <WaldenL@TechSoftI         <midrange-l@midrange.com>
                      nc.com>                   cc:
                      Sent by:                  Subject:  RE: Sql question
                      midrange-l-admin@m
                      idrange.com


                      05/17/2002 12:41
                      PM
                      Please respond to
                      midrange-l





Actually, I think 469 would be the only row returned, but try:

Select cust# from transfile
             where cust# in
                         (select cust# from transfile where item# = '12a')
             and cust# NOT in
                         (select cust# from transfile where item# = '13a')

-Walden

------------
Walden H Leverich III
President
Tech Software
(516) 627-3800 x11
(208) 692-3308 eFax
WaldenL@TechSoftInc.com
http://www.TechSoftInc.com

Quiquid latine dictum sit altum viditur.
(Whatever is said in Latin seems profound.)



-----Original Message-----
From: Smith, Mike [mailto:Mike_Smith@RGCResources.com]
Sent: Friday, May 17, 2002 13:32
To: 'midrange_L@midrange.com'
Subject: Sql question


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I have a file that has data like this

 <file:Transfile> file:Transfile
Cust#           Item#
123             '12a'
123             '13a'
469             '12a'
550             '13a'

I want to be able to select customers who have ordered item '12a' but not
'13a'

So I would end up with

123 as the only record returned out of this data set.

Can I do this with a SQL statement?

Thanks

Mike

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