Help with writing a function

Hello there
I got a table with data like this:
http://www.geocities.com/crisrobin100/ex_input.gif
This table give me the amount of hours (value) starting in a date I can query from another table according to the owner_id and the amount of consecutive days(Repeats_count) this amount of hours refer to.
I need to select this table and get something more friendlily so I can sum the hour for each month.
The result need to look something like this:
http://www.geocities.com/crisrobin100/ex_output.gif
How can I do it?
Chris

SQL> create table mytable
  2  as
  3  select 30020 owner_id
  4       , 'FORECAST' owner_type
  5       , 0 compressed_entry_seq
  6       , 4 repeats_count
  7       , 8 value
  8    from dual union all
  9  select 30020, 'FORECAST', 1, 2, 0 from dual union all
10  select 30020, 'FORECAST', 2, 5, 8 from dual union all
11  select 30020, 'FORECAST', 3, 2, 0 from dual union all
12  select 30020, 'FORECAST', 4, 5, 8 from dual union all
13  select 30020, 'FORECAST', 5, 2, 0 from dual union all
14  select 30020, 'FORECAST', 6, 5, 8 from dual union all
15  select 30020, 'FORECAST', 7, 3, 0 from dual union all
16  select 30020, 'FORECAST', 8, 3, 8 from dual
17  /
Tabel is aangemaakt.
SQL> var P_STARTDATE varchar2(8)
SQL> exec :P_STARTDATE := '01052007'
PL/SQL-procedure is geslaagd.
SQL> select owner_id
  2       , owner_type
  3       , d
  4       , value
  5    from mytable t
  6   model
  7         partition by (owner_id,owner_type,compressed_entry_seq)
  8         dimension by (0 i)
  9         measures ( to_date(:P_STARTDATE,'ddmmyyyy')
10                    + sum(repeats_count) over (partition by owner_id,owner_type order by compressed_entry_seq)
11                    - repeats_count d
12                  , repeats_count rc
13                  , value
14                  )
15         rules
16         ( d[for i from 1 to rc[0]-1 increment 1] = d[0] + cv(i)
17         , value[i<>0] = value[0]
18         )
19   order by owner_id
20       , owner_type
21       , d
22  /
  OWNER_ID OWNER_TY D                        VALUE
     30020 FORECAST 01-05-2007 00:00:00          8
     30020 FORECAST 02-05-2007 00:00:00          8
     30020 FORECAST 03-05-2007 00:00:00          8
     30020 FORECAST 04-05-2007 00:00:00          8
     30020 FORECAST 05-05-2007 00:00:00          0
     30020 FORECAST 06-05-2007 00:00:00          0
     30020 FORECAST 07-05-2007 00:00:00          8
     30020 FORECAST 08-05-2007 00:00:00          8
     30020 FORECAST 09-05-2007 00:00:00          8
     30020 FORECAST 10-05-2007 00:00:00          8
     30020 FORECAST 11-05-2007 00:00:00          8
     30020 FORECAST 12-05-2007 00:00:00          0
     30020 FORECAST 13-05-2007 00:00:00          0
     30020 FORECAST 14-05-2007 00:00:00          8
     30020 FORECAST 15-05-2007 00:00:00          8
     30020 FORECAST 16-05-2007 00:00:00          8
     30020 FORECAST 17-05-2007 00:00:00          8
     30020 FORECAST 18-05-2007 00:00:00          8
     30020 FORECAST 19-05-2007 00:00:00          0
     30020 FORECAST 20-05-2007 00:00:00          0
     30020 FORECAST 21-05-2007 00:00:00          8
     30020 FORECAST 22-05-2007 00:00:00          8
     30020 FORECAST 23-05-2007 00:00:00          8
     30020 FORECAST 24-05-2007 00:00:00          8
     30020 FORECAST 25-05-2007 00:00:00          8
     30020 FORECAST 26-05-2007 00:00:00          0
     30020 FORECAST 27-05-2007 00:00:00          0
     30020 FORECAST 28-05-2007 00:00:00          0
     30020 FORECAST 29-05-2007 00:00:00          8
     30020 FORECAST 30-05-2007 00:00:00          8
     30020 FORECAST 31-05-2007 00:00:00          8
31 rijen zijn geselecteerd.Regards,
Rob.
Message was edited by:
Rob van Wijk
Added owner_type to the partition clause of the sum analytic function. Output wasn't affected.

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