For example, I have 2 time tables: T1
id time
1 18:12:02
2 18:46:57
3 17:49:44
4 12:19:24
5 11:00:01
6 17:12:45
and T2
id time
1 18:13:02
2 17:46:57
I need to get time from T1 that are the closest to time from T2. There is no relationship between this tables. It should be something like this:
select T1.calldatetime
from T1, T2
where T1.calldatetime between
T2.calldatetime-(
select MIN(ABS(T2.calldatetime-T1.calldatetime))
from T2, T1)
and
T2.calldatetime+(
select MIN(ABS(T2.calldatetime-T1.calldatetime))
from T2, T1)
But I can't get it. Any suggestions?
You only have to use a single Cartesian join to solve you problem unlike the other solutions, which use multiple. I assume time is stored as a VARCHAR2. If it is stored as a date then you can remove the TO_DATE functions. If it is stored as a date (I would highly recommend this), you will have to remove the date portions
I've made it slightly verbose so it's obvious what's going on.
select *
from ( select id, tm
, rank() over ( partition by t2id order by difference asc ) as rnk
from ( select t1.*, t2.id as t2id
, abs( to_date(t1.tm, 'hh24:mi:ss')
- to_date(t2.tm, 'hh24:mi:ss')) as difference
from t1
cross join t2
) a
)
where rnk = 1
Basically, this works out the absolute difference between every time in T1 and T2 then picks the smallest difference by T2 ID
; returning the data from T1.
Here it is in SQL Fiddle format.
The less pretty (but shorter) format is:
select *
from ( select t1.*
, rank() over ( partition by t2.id
order by abs(to_date(t1.tm, 'hh24:mi:ss')
- to_date(t2.tm, 'hh24:mi:ss'))
) as rnk
from t1
cross join t2
) a
where rnk = 1