How to process sql statements stored in a table

Question

I have a rule table that contain rule_type, rule_status and rule_condition. The rule condition is a sql statement. In a report I need to be able to expand this condtion based on the status selected. E.g When rule status is terminated the rule_condition is as below. When a user pick terminated status, I need to be able to go to the table and expand the sql statement. Another example is active status.
RULE_STATUS TERMINATED
SELECT leaseid
FROM leatatt
WHERE txtattid = 'LEAS END'
and value = 'TERMINATED'
RULE_STATUS ACTIVE
SELECT leaseid
FROM lease
WHERE redoc_class = 'MASTER'
AND TRUNC(SYSDATE) <=
NVL(TRUNC(enddate),TRUNC(SYSDATE)+1)
AND functional_status IN ('ACTIVE','OVERHOLD')
Any suggestion will be appreciated.

Answer 1

Please refer to
http://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:246014735810
I am sure you would be twist this to bring it in to your use.
<PRE>
the proper way to do this is to NOT use a PLSQL table type but to use a SQL Object Type
instead. It would look like this:
[email protected]> create or replace type myScalarType as object
2 ( x int,
3 y date,
4 z varchar2(25)
5 )
6 /
Type created.
[email protected]> create or replace type myTableType as table of myScalarType;
2 /
Type created.
[email protected]> create or replace
2 function demo_proc( p_start_row in number,
3 p_end_row in number )
4 return myTableType
5 as
6 l_data myTableType := myTableType();
7 l_cnt number default 0;
8 begin
9 for x in ( select * from emp order by sal desc )
10 loop
11 l_cnt := l_cnt + 1;
12 if ( l_cnt >= p_start_row )
13 then
14 l_data.extend;
15 l_data(l_data.count) :=
16 myScalarType( x.empno,
17 x.hiredate,
18 x.ename );
19 end if;
20 exit when l_cnt = p_end_row;
21 end loop;
22
23 return l_data;
24 end;
25 /
Function created.
[email protected]> select *
2 from the ( select cast( demo_proc(2,6) as mytableType )
3 from dual ) a
4 /
X Y Z
7788 09-DEC-82 SCOTT
7902 03-DEC-81 FORD
7566 02-APR-81 JONES
7698 01-MAY-81 BLAKE
7782 09-JUN-81 CLARK
[email protected]>
</PRE>