----- Original Message -----
From: "Jim Limburg" <[EMAIL PROTECTED]>


> Bernard
>
> After seeing Javiers post and a little further digging he
> is absolutely correct. Sorry about the misleading information.
> What I had in mind was finding duplicate info.. A few of the
> guru's on this list helped me in the past in this area of
> finding dupes...
> I was shown this code:
>
> BROWSE ALL FROM header +
> WHERE ponum IN (SELECT ponum FROM header GROUP BY ponum +
> HAVING COUNT (*)>1)

Yep, I use edit instead of browse, then you can decide which rows to delete
and delete them immediately.

Bernie Lis
Megabytes, Inc.

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