Adding 2 more rows to a select without inserting rows to base table

hello all,
i have a below simple select statement which is querying a table.
select * from STUDY_SCHED_INTERVAL_TEMP
where STUDY_KEY = 1063;
but here is the situations. As you can see its returning 7 rows. But i need to add
2 more rows..with everything else default value or what exist... except adding 2 more rows.
i cannot insert into base table. I want my end results to increment by 2 days in
measurement_date_Taken to 01-apr-09....so basically measurement_date_taken should
end at study_end_Date...
IS THAT EVEN POSSIBLE WITHOUT INSERTING ROWS INTO THE TABLE AND JUST PLAYIHY AROUND WITH
THE SELECT STATEMENT??
sorry if this is confusing...i am on 10.2.0.3
Edited by: S2K on Aug 13, 2009 2:19 PM

Well, I'm not sure if this query looks as good as my lawn, but seems to work anyway ;)
I've used the 'simplified version', but the principle should work for your table to, S2K.
As Frank already pointed out (and I stumbled upon it while clunging): you just select your already existing rows and union them with the 'missing records', you calculate the number of days you're 'missing' based on the study_end_date:
MHO%xe> alter session set nls_date_language='AMERICAN';
Sessie is gewijzigd.
Verstreken: 00:00:00.01
MHO%xe> with t as ( -- generating your data here, simplified by me due to cat and lawn
  2  select 1063 study_key
  3  ,      to_date('01-MAR-09', 'dd-mon-rr') phase_start_date
  4  ,      to_date('02-MAR-09', 'dd-mon-rr') measurement_date_taken
  5  ,      to_date('01-APR-09', 'dd-mon-rr') study_end_date
  6  from dual union all
  7  select 1063, to_date('03-MAR-09', 'dd-mon-rr') , to_date('04-MAR-09', 'dd-mon-rr') , to_date('01-APR-09', 'dd-mon-rr') from dual union all
  8  select 1063, to_date('03-MAR-09', 'dd-mon-rr') , to_date('09-MAR-09', 'dd-mon-rr') , to_date('01-APR-09', 'dd-mon-rr') from dual union all
  9  select 1063, to_date('03-MAR-09', 'dd-mon-rr') , to_date('14-MAR-09', 'dd-mon-rr') , to_date('01-APR-09', 'dd-mon-rr') from dual union all
10  select 1063, to_date('03-MAR-09', 'dd-mon-rr') , to_date('19-MAR-09', 'dd-mon-rr') , to_date('01-APR-09', 'dd-mon-rr') from dual union all
11  select 1063, to_date('22-MAR-09', 'dd-mon-rr') , to_date('23-MAR-09', 'dd-mon-rr') , to_date('01-APR-09', 'dd-mon-rr') from dual union all
12  select 1063, to_date('22-MAR-09', 'dd-mon-rr') , to_date('30-MAR-09', 'dd-mon-rr') , to_date('01-APR-09', 'dd-mon-rr') from dual
13  ) -- actual query:
14  select study_key
15  ,      phase_start_date
16  ,      measurement_date_taken
17  ,      study_end_date
18  from   t
19  union all
20  select study_key
21  ,      phase_start_date
22  ,      measurement_date_taken + level -- or rownum
23  ,      study_end_date
24  from ( select study_key
25         ,      phase_start_date
26         ,      measurement_date_taken
27         ,      study_end_date
28         ,      add_up
29         from (
30                select study_key
31                ,      phase_start_date
32                ,      measurement_date_taken
33                ,      study_end_date
34                ,      study_end_date - max(measurement_date_taken) over (partition by study_key
35                                                                          order by measurement_date_taken ) add_up
36                ,      lead(measurement_date_taken) over (partition by study_key
37                                                          order by measurement_date_taken ) last_rec
38                from   t
39              )
40         where last_rec is null
41       )
42  where rownum <= add_up
43  connect by level <= add_up;
STUDY_KEY PHASE_START_DATE    MEASUREMENT_DATE_TA STUDY_END_DATE
      1063 01-03-2009 00:00:00 02-03-2009 00:00:00 01-04-2009 00:00:00
      1063 03-03-2009 00:00:00 04-03-2009 00:00:00 01-04-2009 00:00:00
      1063 03-03-2009 00:00:00 09-03-2009 00:00:00 01-04-2009 00:00:00
      1063 03-03-2009 00:00:00 14-03-2009 00:00:00 01-04-2009 00:00:00
      1063 03-03-2009 00:00:00 19-03-2009 00:00:00 01-04-2009 00:00:00
      1063 22-03-2009 00:00:00 23-03-2009 00:00:00 01-04-2009 00:00:00
      1063 22-03-2009 00:00:00 30-03-2009 00:00:00 01-04-2009 00:00:00
      1063 22-03-2009 00:00:00 31-03-2009 00:00:00 01-04-2009 00:00:00
      1063 22-03-2009 00:00:00 01-04-2009 00:00:00 01-04-2009 00:00:00
9 rijen zijn geselecteerd.If there's a simpler way (in SQL), I hope others will join and share their example/ideas/thoughts.
I have a feeling that this is using more resources than needed.
But I've got to cut the daisies first now, they interfere my 'lawn-green-ess' ;)

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