OWB sees analytic function as aggregate function

OWB 9.2: We use an analytic form of the REGR_SLOPE function (with the analytic clause specified) in an expression operator in a mapping. When validated, OWB gives an error, complaining a aggregate function is used. Can this bug be circumvented?
Jaap.

Similar Messages

Analytical function in OWB 10.2.0.4.0

Dear -
I am trying to implement analytical function in OWB but not sure how to do it. Can anyone help me?
My SQL query looks like
select sum (aamtorg),
sum(sum(aamtorg)) over
(order by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
cmgmint, cbasent, cbok, tamtlbl,
cctygbk, caffgbk, dacggll, dctx
rows between unbounded preceding and current row) cumulative_amountcctybbl
from fmbnd_evt
where cbssuntgbk = 'FM001'
and caccgbk = '14300000029'
and caccroo = '9146581'
and ccrytrngbk = 'AUD'
and creftrl = '~'
and cmgmint = '~'
and cbasent = 'U2725'
and cbok = '0000'
and tamtlbl = '~'
and dacggll between '01aug2011' and '04aug11'
group by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
cmgmint, ctrdnbmgint, cbasent, cbok, tamtlbl,
cctygbk, caffgbk, dacggll, dctx
I want to implement cumulative_amountcctybb column in the mapping.
Can anyone help?

Hi Arun,
analytical functions don't require GROUP BY clause and that's why you can use an expression operator. You also have a normal SUM (aggregate) function in your query, which requires GROUP BY and can only be implemented using aggregator operator. If I understand your problem correctly, you need to use aggregate SUM with GROUP BY on your data set first, and then use analytical SUM on this set (which is already processed with an aggregate SUM). Your query would look something like this:
select sum_aamtorg,
sum(sum_aamtorg) over
(order by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
cmgmint, cbasent, cbok, tamtlbl,
cctygbk, caffgbk, dacggll, dctx
rows between unbounded preceding and current row) cumulative_amountcctybbl
from (
select sum (aamtorg) sum_aamtorg,
cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
cmgmint, cbasent, cbok, tamtlbl,
cctygbk, caffgbk, dacggll, dctx
from fmbnd_evt
where cbssuntgbk = 'FM001'
and caccgbk = '14300000029'
and caccroo = '9146581'
and ccrytrngbk = 'AUD'
and creftrl = '~'
and cmgmint = '~'
and cbasent = 'U2725'
and cbok = '0000'
and tamtlbl = '~'
and dacggll between '01aug2011' and '04aug11'
group by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
cmgmint, ctrdnbmgint, cbasent, cbok, tamtlbl,
cctygbk, caffgbk, dacggll, dctx)
Operator sequence would then look like: TABLE -> FILTER -> AGGREGATOR ->EXPRESSION.
Hope this helps
Mate
Edited by: mate on Sep 26, 2011 1:36 PM
Edited by: mate on Sep 26, 2011 1:36 PM

How to use analytic function with aggregate function

hello
can we use analytic function and aggrgate function in same qurey? i tried to find any example on Net but not get any example how both of these function works together. Any link or example plz share with me
Edited by: Oracle Studnet on Nov 15, 2009 10:29 PM

select
t1.region_name,
t2.division_name,
t3.month,
t3.amount mthly_sales,
max(t3.amount) over (partition by t1.region_name, t2.division_name)
max_mthly_sales
from
region t1,
division t2,
sales t3
where
t1.region_id=t3.region_id
and
t2.division_id=t3.division_id
and
t3.year=2004
Source:http://www.orafusion.com/art_anlytc.htm
Here max (aggregate) and over partition by (analytic) function is in same query. So it means we can use aggregate and analytic function in same query and more than one analytic function in same query also.
Hth
Girish Sharma

How to use aggregate functions into Analytical functions

Can we use aggregate functions into analytical functions?
Please provide one example.
Smiles.

HI Learner6
for information:
Aggregate Functions
Analytic Functions
for practic:
ORACLE-BASE - Analytic Functions
Thank you

Analytic function and aggregate function

What are analytic function and aggregate function. What is difference between them?

hi,
Analytic Functions :----------
Analytic functions compute an aggregate value based on a group of rows. They differ from aggregate functions in that they return multiple rows for each group. The group of rows is called a window and is defined by the analytic_clause. For each row, a sliding window of rows is defined. The window determines the range of rows used to perform the calculations for the current row. Window sizes can be based on either a physical number of rows or a logical interval such as time.
Analytic functions are the last set of operations performed in a query except for the final ORDER BY clause. All joins and all WHERE, GROUP BY, and HAVING clauses are completed before the analytic functions are processed. Therefore, analytic functions can appear only in the select list or ORDER BY clause.
Analytic functions are commonly used to compute cumulative, moving, centered, and reporting aggregates.
Aggregate Functions :----------
Aggregate functions return a single result row based on groups of rows, rather than on single rows. Aggregate functions can appear in select lists and in ORDER BY and HAVING clauses. They are commonly used with the GROUP BY clause in a SELECT statement, where Oracle Database divides the rows of a queried table or view into groups. In a query containing a GROUP BY clause, the elements of the select list can be aggregate functions, GROUP BY expressions, constants, or expressions involving one of these. Oracle applies the aggregate functions to each group of rows and returns a single result row for each group.
If you omit the GROUP BY clause, then Oracle applies aggregate functions in the select list to all the rows in the queried table or view. You use aggregate functions in the HAVING clause to eliminate groups from the output based on the results of the aggregate functions, rather than on the values of the individual rows of the queried table or view.
let me know if you are feeling any problem in understanding.
thanks.
Edited by: varun4dba on Jan 27, 2011 3:32 PM

Aggregation of analytic functions not allowed

Hi all, I have a calculated field called Calculation1 with the following calculation:
AVG(Resolution_time) KEEP(DENSE_RANK FIRST ORDER BY RANK ) OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report #7 COMPL".Resource Name )
The result of this calculation is correct, but is repeated for all the rows I have in the dataset.
Group Name      Resourse name    Calculation1
SH Group            Mr. A            10
SH Group            Mr. A            10
SH Group            Mr. A            10
SH Group            Mr. A            10
SH Group            Mr. A            10
5112 rowsI tried to create another calculation in order to have only ONE value for the couple "Group Name, Resource Name) as AVG(Calculation1) but I have the error: Aggregation of analytic functions not allowed
I saw also inside the "Edit worksheet" panel that the Calculation1 *is not represented* with the "Sigma" symbol I(as for example a simple AVG(field_1)) and inside the SQL code I don't have GROUP BY Group Name, Resource Name......
I'd like to see ONLY one row as:
Group Name      Resourse name    Calculation1
SH Group            Mr. A            10....that it means I grouped by Group Name, Resource Name
Anyone knows how can I achieve this result or any workarounds ??
Thanks in advance
Alex

Hi Rod unfortunately I can't use the AVG(Resolution_time) because my dataset is quite strange...I explain to you better.
Ι start from this situation:
!http://www.freeimagehosting.net/uploads/6c7bba26bd.jpg!
There are 3 calculated fields:
RANK is the first calculated field:
ROW_NUMBER() OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report Assigned To & Created By COMPL".Resource Name,"Tickets Report Assigned To & Created By COMPL".Incident Id ORDER BY "Tickets Report Assigned To & Created By COMPL".Select Flag )
RT Calc is the 2nd calculation:
CASE WHEN RANK = 1 THEN Resolution_time END
and Calculation2 is the 3rd calculation:
AVG(Resolution_time) KEEP(DENSE_RANK FIRST ORDER BY RANK ) OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report Assigned To & Created By COMPL".Resource Name )
As you can see, from the initial dataset, I have duplicated incident id and a simple AVG(Resolution Time) counts also all the duplication.
I used the rank (based on the field "flag) to take, for each ticket, ONLY a "resolution time" value (in my case I need the resolution time when the rank =1)
So, with the Calculation2 I calculated for each couple Group Name, Resource Name the right AVG(Resolution time), but how yuo can see....this result is duplicated for each incident_id....
What I need instead is to see *once* for each couple 'Group Name, Resource Name' the AVG(Resolution time).
In other words I need to calculate the AVG(Resolution time) considering only the values written inside the RT Calc fields (where they are NOT NULL, and so, the total of the tickets it's not 14, but 9).
I tried to aggregate again using AVG(Calculation2)...but I had the error "Aggregation of analytic functions not allowed"...
Do you know a way to fix this problem ?
Thanks
Alex

Completion of data series by analytical function

I have the pleasure of learning the benefits of analytical functions and hope to get some help
The case is as follows:
Different projects gets funds from different sources over several years, but not from each source every year.
I want to produce the cumulative sum of funds for each source for each year for each project, but so far I have not been able to do so for years without fund for a particular source.
I have used this syntax:
SUM(fund) OVER(PARTITION BY project, source ORDER BY year ROWS UNBOUNDED PRECEDING)
I have also experimented with different variations of the window clause, but without any luck.
This is the last step in a big job I have been working on for several weeks, so I would be very thankful for any help.

If you want to use Analytic functions and if you are on 10.1.3.3 version of BI EE then try using Evaluate, Evaluate_aggr that support native database functions. I have blogged about it here http://oraclebizint.wordpress.com/2007/09/10/oracle-bi-ee-10133-support-for-native-database-functions-and-aggregates/. But in your case all you might want to do is have a column with the following function.
SUM(Measure BY Col1, Col2...)
I have also blogged about it here http://oraclebizint.wordpress.com/2007/10/02/oracle-bi-ee-101332-varying-aggregation-based-on-levels-analytic-functions-equivalence/.
Thanks,
Venkat
http://oraclebizint.wordpress.com

Using Analytic Functions

Hi all,
I am using ODI 11g(11.1.1.3.0) and I am trying to make an interface using analytic functions in the column mapping, something like below.
sum(salary) over (partition by .....)
The problem is that when ODI saw sum it assumes this as an aggregate function and puts group by. Is there any way to make ODI understand it is not an aggregate function?
I tried creating an option to specify whether it is analytic or not and updated IKM with no luck.
<%if ( odiRef.getUserExit("ANALYTIC").equals("1") ) { %>
<% } else { %>
<%=odiRef.getGrpBy(i)%>
<%=odiRef.getHaving(i)%>
<% } %>
Thanks in advance

Thanks for the reply.
But I think in ODI 11g getFrom() function is behaving differently, that is why it is not working.
When I check out the A.2.18 getFrom() Method from Substitution API Reference document, it says
Allows the retrieval of the SQL string of the FROM in the source SELECT clause for a given dataset. The FROM statement is built from tables and joins (and according to the SQL capabilities of the technologies) that are used in this dataset.
I think getfrom also retrieves group by clause, I create a step in IKM just with *<%=odiRef.getFrom(0)%>* and I can see that even that query generated has a group by clause

Grouping error in Oracle's analytic function PERCENTILE_CONT()

Hi,
I have a question regarding the usage of Oracle's analytic function PERCENTILE_CONT(). The underlying time data in the table is of hourly granularity and I want to fetch average, peak values for the day along with 80th percentile for that day. For the sake of clarification I am only posting relevant portion of the query.
Any idea how to rewrite the query and achieve the same objective?
SELECT   TRUNC (sdd.ts) AS ts,
         max(sdd.maxvalue) AS max_value, avg(sdd.avgvalue) AS avg_value,
         PERCENTILE_CONT(0.80) WITHIN GROUP (ORDER BY sdd.avgvalue ASC) OVER (PARTITION BY pm.sysid,trunc(sdd.ts)) as Percentile_Cont_AVG
FROM     XYZ
WHERE
          XYZ
GROUP BY TRUNC (sdd.ts)
ORDER BY TRUNC (sdd.ts)
Oracle Error:
ERROR at line 5:
ORA-00979: not a GROUP BY expression

You probably mixed up the aggregate and analytical versin of PERCENTILE_CONT.
The below should work, but i dont know if it produces the desireed results.
SELECT   TRUNC (sdd.ts) AS ts,
         max(sdd.maxvalue) AS max_value, avg(sdd.avgvalue) AS avg_value,
         PERCENTILE_CONT(0.80) WITHIN GROUP (ORDER BY sdd.avgvalue ASC) as Percentile_Cont_AVG
FROM     XYZ
sorry, what is this where clause for??
WHERE
          XYZ
GROUP BY TRUNC (sdd.ts)
ORDER BY TRUNC (sdd.ts) Edited by: chris227 on 26.03.2013 05:45

Analytic functions in expression

Hi list,
is there a way of using an analytic function in an OWB expression? Just like with DECODE it doesn't seem possible, because OWB creates something like x := analytic_function(), I think for tracing or error handling purposes. If I want to have, say, a rank() in the outcome of a join (i.e. the SELECT part), I have to create a view and integrate that into the mapping, is that correct? Or is there another way around?
TIA,
Bjoern

Not sure what you are trying to accomplish - can you please elaborate? You should be able to invoke functions that accept scalars as parameters and return scalars in most cases. Another solution is (as mentioned by you) a view.
Regards:
Igor

Having clause with Analytic function

can you pls let me know if we can use HAVING clause with analytic function
select eid,empno,sum(sal) over(partition by year)
from employee
where dept = 'SALES'
having sum(sal) > 10000I m getting error while using the above,
IS that we can use HAVING clause with partition by
Thanks in advance

Your having clause isn't using an analytical function, is using a regular aggregate function.
You also can't use analytical functions in the where clause or having clause like that as they are windowing functions and belong at the top of the query.
You would have to wrap the query to achieve what you want e.g.
SQL> ed
Wrote file afiedt.buf
1 select deptno, total_sal
2 from (
3        select deptno,sum(sal) over (partition by deptno) as total_sal
4        from   emp
5       )
6 group by deptno, total_sal
7* having total_sal > 10000
SQL> /
    DEPTNO TOTAL_SAL
        20      10875
SQL>

Discoverer Analytic Function windowing - errors and bad aggregation

I posted this first on Database General forum, but then I found this was the place to put it:
Hi, I'm using this kind of windowing function:
SUM(Receitas Especificas) OVER(PARTITION BY Tipo Periodo,Calculado,"Empresa Descrição (Operador)","Empresa Descrição" ORDER BY Ini Periodo RANGE BETWEEN INTERVAL '12' MONTH PRECEDING AND INTERVAL '12' MONTH PRECEDING )
If I use the "Receitas Especificas SUM" instead of
"Receitas Especificas" I get the following error running the report:
"an error occurred while attempting to run..."
This is not in accordance to:
http://www.boku.ac.at/oradoc/ias/10g(9.0.4)/bi.904/b10268.pdf
but ok, the version without SUM inside works.
Another problem is the fact that for analytic function with PARTITION BY,
this does not work (shows the cannot aggregate symbol) if we collapse or use "<All>" in page items.
But it works if we remove the item from the PARTITION BY and also remove from workbook.
It's even worse for windowing functions(query above), because the query
only works if we remove the item from the PARTITION BY but we have to show it on the workbook - and this MAKES NO SENSE... :(
Please help.

Unfortunately Discoverer doesn't show (correct) values for analytical functions when selecting "<All>" in a page item. I found out that it does work when you add the analytical function to the db-view instead of to the report as a calculation or as a calculated item on the folder.
The only problem is you've to name all page-items in the PARTITION window, so, when adding a page-item to the report, you,ve to change the db-view and alter the PARTITION window.
Michael

Using analytic function to get the right output.

Dear all;
I have the following sample date below
create table temp_one
       id number(30),
      placeid varchar2(400),
      issuedate date,
      person varchar2(400),
      failures number(30),
      primary key(id)
insert into temp_one values (1, 'NY', to_date('03/04/2011', 'MM/DD/YYYY'), 'John', 3);
insert into temp_one values (2, 'NY', to_date('03/03/2011', 'MM/DD/YYYY'), 'Adam', 7);
insert into temp_one values (3, 'Mexico', to_date('03/04/2011', 'MM/DD/YYYY'), 'Wendy', 3);
insert into temp_one values (4, 'Mexico', to_date('03/14/2011', 'MM/DD/YYYY'), 'Gerry', 3);
insert into temp_one values (5, 'Mexico', to_date('03/15/2011', 'MM/DD/YYYY'), 'Zick', 9);
insert into temp_one values (6, 'London', to_date('03/16/2011', 'MM/DD/YYYY'), 'Mike', 8);this is output I desire
placeid       issueperiod                               failures
NY              02/28/2011 - 03/06/2011          10
Mexico       02/28/2011 - 03/06/2011           3
Mexico        03/14/2011 - 03/20/2011          12
London        03/14/2011 - 03/20/2011          8All help is appreciated. I will post my query as soon as I am able to think of a good logic for this...

hI,
user13328581 wrote:
... Kindly note, I am still learning how to use analytic functions.That doesn't matter; analytic functions won't help in this problem. The aggregate SUM function is all you need.
But what do you need to GROUP BY? What is each row of the result set going to represent? A placeid? Yes, each row will represent only one placedid, but it's going to be divided further. You want a separate row of output for every placeid and week, so you'll want to GROUP BY placeid and week. You don't want to GROUP BY the raw issuedate; that would put March 3 and March 4 into separate groups. And you don't want to GROUP BY failures; that would mean a row with 3 failures could never be in the same group as a row with 9 failures.
This gets the output you posted from the sample data you posted:
SELECT       placeid
,             TO_CHAR ( TRUNC (issuedate, 'IW')
              , 'MM/DD/YYYY'
            ) || ' - '|| TO_CHAR ( TRUNC (issuedate, 'IW') + 6
                                         , 'MM/DD/YYY'
                           )     AS issueperiod
,       SUM (failures)                  AS sumfailures
FROM        temp_one
GROUP BY placeid
,            TRUNC (issuedate, 'IW')
;You could use a sub-query to compute TRUNC (issuedate, 'IW') once. The code would be about as complicated, efficiency probably won't improve noticeably, and the the results would be the same.

Help with analytical function

I successfully use the following analytical function to sum all net_movement of a position (key for a position: bp_id, prtfl_num, instrmnt_id, cost_prc_crncy) from first occurrence until current row:
SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) holding,
what i need is another column to sum net_movement of a position but only for the current date, but all my approaches fail..
- add the date (val_dt) to the 'partition by' clause and therefore sum only values with same position and date
SELECT SUM (net_movement) OVER (PARTITION BY val_dt, bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) today_net_movement
- take the holding for the last date and subtract it from the current holding afterwards
SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND -1 FOLLOWING) last_holding,
- using lag on the analytical function which calculates holding fails too
I also want to avoid creating a table which stores the last holding..
Does anyone sees where I make a mistake or knows an alternative to get this value?
It would help me much!
Thanks in advance!

Thank you,
but I already tried that but it returns strange values which are not the correct ones for sure.
It is always the same value for each row, if its not 0, and a very high one (500500 for example), even if the sum of all net_movement of that date is 0 (and the statement for holding returns 0 too)
I also tried witch trunc(val_dt,'DDD') with the same result (without trunc it is the same issue)
please help if you can, thanks in advance!

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
SQL> select ename, sal, sum(sal) over (partition by deptno) sum from emp e;
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 |
-----------------------------------------------------------------------------So maybe it helps

OWB sees analytic function as aggregate function

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