How to use sum analytic function in adf

Hi
jdev 11.1.1.5
oracle 11g r2
I want to use analytic function (sum,count,avg and ...) .
I see [url http://andrejusb.blogspot.co.uk/2013/02/oracle-analytic-functions-for-total-and.html]Oracle Analytic Functions for Total and Average Calculation in ADF BC
and use it in my vo and jsf page,my vo have too much record and I want to have sum in table footer on demand (because of performance) and if user do not want to see the sum in footer of table it do not calculate sum,
what is your idea?

Before I read that blog I use another vo for sum but after that blog decide to use analytic fuction becuase we have some page that have to many dvt graph and table and know we use seperate vo for them and it has not good performance and too many query must run in database ,I want to have 1 vo with some analytic function for graph and tables

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SUM analytical function

Hi,
I am using the SUM analytical function to accumulate some data from one record to the other record (data per month):
TPS_MOI_CODE     PRD_PRD_CODE     PDV_PDV_CODE     RTTCAVCANV
200510     01     9302     -8050
200511     01     9302     -15500
200512     01     9302     -16150
200601     01     9302     -16150
200602     01     9302     -16150
200603     01     9302     -16150
The result is correct. However, I also want to restart the sum from January, i.e every months contain the sum of all the previous month, and it must restart in January.
How do I do that ?
Thanks in advance for your answers.

You should extract a year and use it as the partition in over() clause, for example:
SQL> select * from t;
     DATE#        QTY
    200510          1
    200511          2
    200512          3
    200601          4
    200602          5
    200603          6
6 rows selected.
SQL> desc t;
Name                                      Null?    Type
DATE#                                              NUMBER
QTY                                                NUMBER
SQL> select date#, sum(qty) over(partition by substr(date#,1,4) order by date#) cum_sum
2 from t;
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    200511          3
    200512          6
    200601          4
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    200603         15
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How to use the set functions effectively in webi ,please let me know with detail

how to use the set functions effectively in webi ,please let me know with detail

Hi,
we use use set functions on heirarchies with aggregate functions mostly .
If you include member_set, Min returns the minimum value of the aggregated data for all members in the member set.
Member_set can include multiple sets separated by semicolons (;).
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Page 147
https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&ved=0CDIQFjAB&url=https%3A%2F%2Fhelp.sap.com%2Fbusinessobject%2Fproduct_guides%2Fboexir4%2Fen%2Fxi4sp5_ffc_en.pdf&ei=nBAUU-iUM4WWrAeMuoCoDg&usg=AFQjCNHakXsEjd_yUk2y3lVdibf3PXpEOA&bvm=bv.61965928,d.bmk
search on SCN this question was discussed before also one those links .
http://scn.sap.com/thread/3183380
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Problem using SUM standard function during Field Mapping

Hi Experts ,
I am trying to sum all LIFMG 's in in the lineitems of a particular
header and map this result to Lifmg of the header.(Idoc with multiple headers and line item).I am using SUM standard function.
Rough Source structure.
Header1
      vbeln
....Lineitem1
      vbeln
      posnr
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....Lineitem2
        vbeln
        posnr
......LIFMG
Header2
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I am able to find the SUM ...but in the target structure's Header field I am getting
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Header2
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Placed sum after if without else ...
placing it before was causing ...those values to be replicated.

Can i use an analytic function instead of a group by clause?

Can i use an analytic function instead of a group by clause? Will this help in any performance improvement?

analytic can sometimes avoid scanning the table more than once :
SQL> select ename, sal, (select sum(sal) from emp where deptno=e.deptno) sum from emp e;
ENAME             SAL        SUM
SMITH             800      10875
ALLEN            1600       9400
WARD             1250       9400
JONES            2975      10875
MARTIN           1250       9400
BLAKE            2850       9400
CLARK            2450       8750
SCOTT            3000      10875
KING             5000       8750
TURNER           1500       9400
ADAMS            1100      10875
JAMES             950       9400
FORD             3000      10875
MILLER           1300       8750
14 rows selected.
Execution Plan
Plan hash value: 3189885365
| Id | Operation          | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT   |      |    14 |   182 |     3   (0)| 00:00:01 |
|   1 | SORT AGGREGATE    |      |     1 |     7 |            |          |
|* 2 |   TABLE ACCESS FULL| EMP |     5 |    35 |     3   (0)| 00:00:01 |
|   3 | TABLE ACCESS FULL | EMP |    14 |   182 |     3   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - filter("DEPTNO"=:B1)which could be rewritten as
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ENAME             SAL        SUM
CLARK            2450       8750
KING             5000       8750
MILLER           1300       8750
JONES            2975      10875
FORD             3000      10875
ADAMS            1100      10875
SMITH             800      10875
SCOTT            3000      10875
WARD             1250       9400
TURNER           1500       9400
ALLEN            1600       9400
JAMES             950       9400
BLAKE            2850       9400
MARTIN           1250       9400
14 rows selected.
Execution Plan
Plan hash value: 1776581816
| Id | Operation          | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT   |      |    14 |   182 |     4 (25)| 00:00:01 |
|   1 | WINDOW SORT       |      |    14 |   182 |     4 (25)| 00:00:01 |
|   2 |   TABLE ACCESS FULL| EMP |    14 |   182 |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------well, there is no group by and no visible performance enhancement in my example, but Oracle7, you must have written the query as :
SQL> select ename, sal, sum from emp e,(select deptno,sum(sal) sum from emp group by deptno) s where e.deptno=s.deptno;
ENAME             SAL        SUM
SMITH             800      10875
ALLEN            1600       9400
WARD             1250       9400
JONES            2975      10875
MARTIN           1250       9400
BLAKE            2850       9400
CLARK            2450       8750
SCOTT            3000      10875
KING             5000       8750
TURNER           1500       9400
ADAMS            1100      10875
JAMES             950       9400
FORD             3000      10875
MILLER           1300       8750
14 rows selected.
Execution Plan
Plan hash value: 2661063502
| Id | Operation            | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT     |      |    14 |   546 |     8 (25)| 00:00:01 |
|* 1 | HASH JOIN           |      |    14 |   546 |     8 (25)| 00:00:01 |
|   2 |   VIEW               |      |     3 |    78 |     4 (25)| 00:00:01 |
|   3 |    HASH GROUP BY     |      |     3 |    21 |     4 (25)| 00:00:01 |
|   4 |     TABLE ACCESS FULL| EMP |    14 |    98 |     3   (0)| 00:00:01 |
|   5 |   TABLE ACCESS FULL | EMP |    14 |   182 |     3   (0)| 00:00:01 |
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How to use sum analytic function in adf

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