Row to column - no pivot

Question

Hi all,
I have data in this format:
USER_ID | TOP10_1 | TOP10_2 | TOP10_3 | ... | TOP10_10
USER1 | 1 | 2 | 3 | ... | 10
USER2 | 4 | 5 | 10 | ... | 1
USER3 | 3 | 6 |1 | ... | 2
I need to have this view
USER_ID | USER1 | USER2 | USER3
TOP10_1 | 1 | 4 | 3
TOP10_2 | 2 | 5 | 6
TOP10_3 | 3 | 10 | 1
TOP10_10 | 10 | 1 | 2
I didn't get it managed with what I found here, because I have no grouping. And I'm not very firm in this stuff.
I'm working in 10g.
Thanks for your help.
chrissy

Answer 1

If you were happy for the USER_ID's to come out as data rather than the actual column names then you could do something like:
SQL> ed
Wrote file afiedt.buf
  1  with t as (select 'USER1' as USER_ID, 1 as top10_1, 2 as top10_2, 3 as top10_3, 4 as top10_4, 5 as top10_5, 6 as top10_6, 7 as top10_7, 8 as top10_8, 9 as top10_9, 10 as top10_10 from dual union all
  2             select 'USER2', 4, 5, 10, 2, 4, 6, 8, 10, 9, 1 from dual union all
  3             select 'USER3', 3, 6, 1, 3, 5, 7, 9, 8, 6, 2 from dual)
  4  --
  5  -- end of test data
  6  --
  7      ,x as (select user_id, row_number() over (order by user_id) as rn from t)
  8  select 'USER_ID' as c0
  9        ,max(decode(rn,1,user_id)) as c1
10        ,max(decode(rn,2,user_id)) as c2
11        ,max(decode(rn,3,user_id)) as c3
12  from x
13  union all
14  select c0, c1, c2, c3
15  from (
16        select 'TOP10_'||z.rn as c0
17              ,to_char(max(decode(y.rn,1,decode(z.rn,1,top10_1,2,top10_2,3,top10_3,4,top10_4,5,top10_5,6,top10_6,7,top10_7,8,top10_8,9,top10_9,10,top10_10)))) as c1
18              ,to_char(max(decode(y.rn,2,decode(z.rn,1,top10_1,2,top10_2,3,top10_3,4,top10_4,5,top10_5,6,top10_6,7,top10_7,8,top10_8,9,top10_9,10,top10_10)))) as c2
19              ,to_char(max(decode(y.rn,3,decode(z.rn,1,top10_1,2,top10_2,3,top10_3,4,top10_4,5,top10_5,6,top10_6,7,top10_7,8,top10_8,9,top10_9,10,top10_10)))) as c3
20        from t     join x on (x.user_id = t.user_id)
21                   join (select rownum rn from dual connect by rownum <= 3) y on (y.rn = x.rn)
22             cross join (select rownum rn from dual connect by rownum <= 10) z
23        group by z.rn
24        order by z.rn
25*      )
SQL> /
C0                   C1                   C2                   C3
USER_ID              USER1                USER2                USER3
TOP10_1              1                    4                    3
TOP10_2              2                    5                    6
TOP10_3              3                    10                   1
TOP10_4              4                    2                    3
TOP10_5              5                    4                    5
TOP10_6              6                    6                    7
TOP10_7              7                    8                    9
TOP10_8              8                    10                   8
TOP10_9              9                    9                    6
TOP10_10             10                   1                    2
11 rows selected.
SQL>