Creating a new column using existing columns, but in non-exclusive conditions

This is for a case study.

I have the following table, T1 with two columns: c1, c2

I want to create a table T2 with both C1, C2, and a new column C3 defined in a way that

 if C1 > 3  then C3 = "C1_big"
 if C2 > 3  then C3 = "C2_big"
 else C3 = "not_big"

so using our table T1, we get

    C1     C2     C3
    1       3     "not_big"
    5       2     "C1_big"
    4       10    "C1_big"
    4       10    "C2_big"

notice that the last row satisfies conditions for both "C1_big", and "C2_big", so we have two rows for that.

I was thinking of using CASE WHEN, but then it only applies to mutually exclusive events. For our case, "C1_big", "C2_big" can both happen for a row, so it doesn't need to be mutually exclusive.

Is there a way to achieve this in SQL query? Any help would be greatly appreciated.

Solution

In Presto/Trino this can be achieved using array functions and unnest (using succinct syntax here):

-- sample data
with dataset (c1, c2) as (
    values (1, 3),
        (5, 2),
        (4, 10)
)

-- query
select *
from dataset,
     unnest(
        if(
             c1 <= 3 and c2 <=3, array['not_big'],
             filter(array[if(c1 > 3, 'C1_big'), if(c2 > 3, 'C2_big')], x -> x is not null)
        )) as t(c3);

Without using Presto-specific functions - you can use union all:

-- query
select *, 'not_big' c3
from dataset
where c1 <= 3
  and c2 <= 3

union all

select *, 'C1_big' c3
from dataset
where c1 > 3

union all

select *, 'C2_big' c3
from dataset
where c2 > 3;