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Now, if your application could support nulls, and you could replace the
zero values with a null value, it would become simpler because aggregate
functions ignore null values. Not really different on the first "where"
but you could omit the second "where".

select * from test a
where n1 = (select Min(n1) from test where n2 is null)
or n2 = (select Min(n2) from test)

But you have to think about how you would use them. For example, average
is commonly computed by taking the sum and dividing by the number of
entries. For example if you have this table:
....+...
TESTNBR
1
2
3
-
Note: The fourth value is null.

select avg(testnbr), min(testnbr) from qtemp/test
you get two and one. The average is the sum of 1, 2, 3 divided by only
three rows. However if you replace the null with a zero you now get 1.50
and 0. The average is now divided by four rows.

Rob Berendt

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