function not returning object table properly

Rather than return a table, my function returns this:

SCHEMA_OWNER. TBL_SUMS ([SCHEMA_OWNER. SUMS_OBJ])

Did anyone see a syntax error in my function or the DOF of my table and object types?

It is a stripped down, simplified version of my function:

create or replace FUNCTION "F_TEST" (number of p_skey, p_start_date date, p_end_date date)
RETURN tbl_sums

IS

tmp_A NUMBER;
tmp_B NUMBER;

l_tbl tbl_sums: = tbl_sums();

BEGIN

SELECT SUM (FieldA), SUM (FieldB)
in tmpA, tmpB
FROM MaTable where SKEY = p_skey
and DATE_VALUE > = p_start_date
and DATE_VALUE < p_end_date;.

l_tbl.extend;
l_tbl (l_tbl. (Count()): = sums_obj (p_start_date, p_end_date, p_skey, tmpA, tmpB);
Return l_tbl;

END;

My models are:

create or replace type sums_obj is object (DATE start_date, end_date DATE, skey NUMBER, SumA, SumB NUMBER);
create or replace type tbl_sums is table of the sums_obj;


Thank you!

>
RETURN tbl_kpi
>
What is 'tbl_kpi '? Which is not defined anywhere. Your original post said:
>
RETURN tbl_sums
>
We cannot help you if you don't publish what you actually use. Cut & paste is ok, but you have to paste the correct code.

Your function returns a TABLE, but it is NOT in the PIPELINE. For example, if you query the DOUBLE function you will get a DATASET as a result.

If you query the function AS A TABLE, you will get the "content" of the table.

If you make your function a PIPELINED function then you use PIPE ROW to return each line but the function is always declared to return a TABLE. This is perhaps what is confusing you.

Try the following code to see what the difference is.

Here are two SQL types based on the EMP table in the scott schema.

-- type to match emp record
create or replace type emp_scalar_type as object
  (EMPNO NUMBER(4) ,
   ENAME VARCHAR2(10),
   JOB VARCHAR2(9),
   MGR NUMBER(4),
   HIREDATE DATE,
   SAL NUMBER(7, 2),
   COMM NUMBER(7, 2),
   DEPTNO NUMBER(2)
  )
  /

-- table of emp records
create or replace type emp_table_type as table of emp_scalar_type
/

Now - here's a function (similar to yours) that returns him EMP_TABLE_TYPE. NOTE: the function IS NOT PIPELINED

CREATE OR REPLACE function SCOTT.get_emp1( p_deptno in number )
  return emp_table_type
  as
tb emp_table_type;
BEGIN
  select emp_scalar_type(empno, ename, job, mgr, hiredate, sal, comm, deptno)
    bulk collect into tb from emp where deptno = p_deptno;
  return tb;
end;
/

If I simply select the function itself twice I get this:

select get_emp1(20) from dual

GET_EMP1(20)
(DATASET)

I can use TOAD or sql developer to examine this dataset and see the documents.

But I can actually query the records by using the TABLE function:

select * from table(get_emp1(20))

EMPNO     ENAME     JOB     MGR     HIREDATE     SAL     COMM     DEPTNO
7369     SMITH     CLERK     7902     12/17/1980     800          20
7566     JONES     MANAGER     7839     4/2/1981     2975          20
7788     SCOTT     ANALYST     7566     4/19/1987     3000          20
7876     ADAMS     CLERK     7788     5/23/1987     1100          20
7902     FORD     ANALYST     7566     12/3/1981     3000          20

This is a similar function. It returns the same EMP_TABLE_TYPE, but it is a PIPELINED function.

-- pipelined function
create or replace function get_emp( p_deptno in number )
  return emp_table_type
  PIPELINED
  as
   TYPE EmpCurTyp IS REF CURSOR RETURN emp%ROWTYPE;
    emp_cv EmpCurTyp;
    l_rec  emp%rowtype;
  begin
    open emp_cv for select * from emp where deptno = p_deptno;
    loop
      fetch emp_cv into l_rec;
      exit when (emp_cv%notfound);
      pipe row( emp_scalar_type( l_rec.empno, LOWER(l_rec.ename),
          l_rec.job, l_rec.mgr, l_rec.hiredate, l_rec.sal, l_rec.comm, l_rec.deptno ) );
    end loop;
    return;
  end;
  /

The ONLY way I can query this function is using the TABLE function:

select * from table(get_emp(20))

EMPNO     ENAME     JOB     MGR     HIREDATE     SAL     COMM     DEPTNO
7369     smith     CLERK     7902     12/17/1980     800          20
7566     jones     MANAGER     7839     4/2/1981     2975          20
7788     scott     ANALYST     7566     4/19/1987     3000          20
7876     adams     CLERK     7788     5/23/1987     1100          20
7902     ford     ANALYST     7566     12/3/1981     3000          20

The query of the PIPELINED function is the same and the result set is the same.

The difference is that the PIPELINED function returns ONE LINE at a time and does NOT need to accumulate a large amount of data in a collection before returning. This collection uses the memory of expensive PGA and the more data you have the more memory it uses.

Your function (and my only similar) return NO data until it has produced ALL of this. And he uses this expensive PGA memory. What is the point to create your collection at a time line and wait until you have everything before send it back you?

You can easily modify your function and add PIPELINED to the declaration. Then, use the PIPE ROW clause to return each row that it is produced. Which will eliminate the need of collecting (and memory) within the service.

You can also then follow up calls to function if you need to.

See 'Use of functions Table in pipeline and parallel' in the data cartridge Developer Guide
http://docs.Oracle.com/CD/B28359_01/AppDev.111/b28425/pipe_paral_tbl.htm

There is little use for your function that is not in the pipeline, but returns a type of table, unless you used to store the array type in a column of an object table.

There are many uses for PIPELINED functions.

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