It's actually pretty easy to do...

Chuck mentions a RCTE, but the better solution IMHO is to set up a
"numbers" or "tally" table.

This is just a table that contains numbers from 1 to 1 million or

So your statement would be simply
select NBR
where NBR not in (select "number" from file)

You could also do it as a join
select NBR
from NBR_TBL
left exception join FILE on NBR = "number"

Prior to RCTE, it was the only way to handle this request and there is
(probably) still a performance benefit to having the numbers table
pre-generated instead of generating it on the fly for every request.

Google SQL NUMBERS TABLE and do some reading...


On Tue, Sep 29, 2015 at 11:45 AM, T. Adair <tadair@xxxxxxxxxxxxxxxx> wrote:

I am trying to find a way in SQL to get a list of all values that do not
exist in a field. As in...

select "value"
where "value" not in (select "number" from file)

It's more complex than that, but if I can get the basics then I should be
able to expand it.

Let's say I have a file that has a field "number". It's a 3-digit field.
I know that over 800 of the 999 possible (non-zero) values are already
used. I need to know which values are not used.

I've tried using CREATE SEQUENCE and it creates a Data Area (with junk in

I suppose I could create a file of nothing but sequential numbers from 1
to whatever, but I'm hard-headed and this really shouldn't be that hard.

Am I missing something obvious? I can probably get around this particular
issue, but I'd really like to have a new technique that I can use in the

Thanks in advance,


This is the Midrange Systems Technical Discussion (MIDRANGE-L) mailing list
To post a message email: MIDRANGE-L@xxxxxxxxxxxx
To subscribe, unsubscribe, or change list options,
or email: MIDRANGE-L-request@xxxxxxxxxxxx
Before posting, please take a moment to review the archives

As an Amazon Associate we earn from qualifying purchases.

This thread ...


Follow On AppleNews
Return to Archive home page | Return to MIDRANGE.COM home page

This mailing list archive is Copyright 1997-2022 by and David Gibbs as a compilation work. Use of the archive is restricted to research of a business or technical nature. Any other uses are prohibited. Full details are available on our policy page. If you have questions about this, please contact [javascript protected email address].

Operating expenses for this site are earned using the Amazon Associate program and Google Adsense.