listunagg function?

Question

is there such thing in oracle like listunagg function? For example, if I have a data like:

user_id	degree_fi	degree_en	degree_sv
3601464	3700	1600	2200
1020	100	0	0
3600520	100,3200,400	1300, 800, 3000	1400, 600, 1500
3600882	0	100	200

and I'd like to show data like this:

user_id	degree_fi	degree_en	degree_sv
3601464	3700	1600	2200
1020	100	0	0
3600520	100	1300	1400
3600882	0	100	200
3600520	3200	800	600
3600520	400	3000	1500

I tried to find some function like opposite of listagg but couldn't find any.

Answer 1

As @be here now has already noted in the comment Oracle doesn't provide such a function. So as a quick workaround you could write similar query:

with t1(user_id, degree_fi, degree_en, degree_sv) as
(
  select 3601464, '3700', '1600', '2200' from dual union all
  select 1020   , '100' , '0'   , '0'    from dual union all
  select 3600520, '100,3200,400', '1300, 800, 3000', '1400, 600, 1500'  from dual union all
  select 3600882, '0',    '100',  '200'  from dual
),
Occurence(ocr) as(
  select Level as ocr
    from (select max(greatest(regexp_count(degree_fi, '[^,]+')
                             , regexp_count(degree_en, '[^,]+')
                             , regexp_count(degree_sv, '[^,]+')
                             )
                    ) mx
            from t1    
          ) 
    connect by level <= mx
)
select *
  from (
select User_id
     , regexp_substr(degree_fi, '[^,]+', 1, o.ocr) as degree_fi
     , regexp_substr(degree_en, '[^,]+', 1, o.ocr) as degree_en
     , regexp_substr(degree_sv, '[^,]+', 1, o.ocr) as degree_sv
   from t1 t
  cross join Occurence o
)
where degree_fi is not null
  or degree_en is not null 
  or degree_sv is not null

Result:

User_Id   Degree_Fi  Degree_En  Degree_Sv
------------------------------------------------------------ 
3601464   3700       1600       2200 
1020      100        0          0 
3600520   100        1300       1400 
3600882   0          100        200 
3600520   3200       800        600 
3600520   400        3000       1500