I have a table:
table1
x
rank value
1 10
25 120
29 130
99 980
I have to generate the following table:
table2
rank value
1 10
2 10
3 10
4 10
5 10
6 10
7 10
8 10
9 10
10 10
11 10
12 10
13 120
14 120
15 120
.
.
.
.
25 120
26 120
27 130
28 130
29 130
30 130
.
.
.
.
.
62 980
63 980
.
.
.
99 980
100 980
So, table2 should have all values from 1 to 100. There are 3 cases:
- If it’s an exact match, for ex. rank 25, value would be 120
- Find closest, for ex. for rank 9 in table2, we do NOT have exact match, but 1 is closest to 9 (9-1 = 8 whereas 25-9 = 16), so assign value of 1
- If there is equal distribution from both sides, use higher rank value, for ex. for rank 27, we have 25 as well as 29 which are equally distant, so take higher value which is 29 and assign value.
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Answer
something like
-- your testdata
with table1(rank,
value) as
(select 1, 10
from dual
union all
select 25, 120
from dual
union all
select 29, 130
from dual
union all
select 99, 980
from dual),
-- range 1..100
data(rank) as
(select level from dual connect by level <= 100)
select d.rank,
min(t.value) keep(dense_rank first order by abs(t.rank - d.rank) asc, t.rank desc)
from table1 t, data d
group by d.rank;