Select MIN OR greater than something

Hi
I need to select a MIN value from column, but if that column contains something bigger than X, then I want to select that something.
Example :
Column
3
9
7
I want to select 3, because ther is nothing that's greater than 10. BUT if column looks like this:
Column
3
9
12
7
15
I want to select 12, because it's the smallest number that is greater than 10.
How can I do such a thing? If I can, that is...

Rahul India wrote:
This solution is not for working when values in the table are 3,9,123,15,7Better provide proof when you give statements like this.. Or explain, what do you mean by "not working".. :)
with t as (select 3 num from dual
               union all
               select 9 num from dual
               union all
               select 123 num from dual
               union all
               select 15 num from dual
               union all
               select 7 num from dual
select nvl(
           min(case when num > 10 then num end),
           min(num)
           ) mn
from t ;
MN
15

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I have a simple (I think) question ...
Part 1:
Is there a way to determine the least value, among a set of values, that is greater than 0?
A couple of examples:
Set of values:
{0,1,2,3}
Return value:
1
Set of values:
{0,5,10,20,100}
Return value:
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Set of values:
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Same thing, but greater than some given value, not necessary 0.
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{0,1,2,3}
Parameter value:
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-- this section has been edited
And that's basically where I was heading. I was hoping there was a less complex way to do it... somehow replacing any zeros with an impossibly large number, without using case statements (something equivalent to the NVL function, but to replace any value with another), so that they'd never be less than anything, and then I could just use the LEAST function. The only way I can think of to do that though, would be to convert the numbers to strings, use REPLACE, and then convert them back to numbers, which doesn't seem less complex than the CASE statements, and most likely is worse performance-wise.
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,     seq_nbr
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;-- end of section edited (I posted before I had fully gone through the solution provided)
I checked the data, and though, theoretically all values could be zero, there are no instances where that happens. I think that, in the case all values were 0, I'd just want to use 1 instead.
Side note on the "big" problem behind this question....
My ultimate problem, (and if I end up needing help with that, I'll start a new post for it) is that the quantity data in our system has a fair amount of junk in it...values that can't be true. With this solution, I would assume that in any case where the quantity complete at a given step of a process is less than or equal to the quantity planned to be complete at that step, the value is good, which is not necessarily a correct assumption. Then, only in cases where something can't be true, like when quantity complete > the quantity planned, are when I would intervene with this solution to make a "best guess" at the correct value. There a few things related to this that I have to determine before I can figure out my next step.
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2) ...try to come up with a method to pre-"scrub" my data in DB1, based on some logical assumptions and looking at all steps in an order, so that I can then just query the scrubbed data...
3) ...use the solution from this thread, and assume that the bad data isn't enough to significantly impact my calculations...
What I wouldn't give for a single system with all good data!
Edited by: user11033437 on Nov 19, 2010 4:21 PM

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I have attached a link which i hope will explain this better.
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Hello,
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Hi all!
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