Aggregation Function With Joining

Hi all,
I've the following SQL Query and I want to add a join with it:
SELECT Collected_Goods.ProductId, SUM(Collected_Goods.Amount)
FROM Collected_Goods
GROUP BY Collected_Goods.ProductIdand I want to replace or add (but replace is better) the Collected_Goods.ProductId with a Products.Name where the product name appears in another table called products. Also I want the aggregation function SUM to work on Collected_Goods.ProductId
The FK in Collected_Goods to Products is Collected_Goods.ProductId and Products.Id
Thanks in advance
Edited by: ZiKaS on Dec 30, 2008 2:05 AM

The output for the above one is like this
Collected_Goods.ProductId     |     SUM(Amount)
                             1           |        60
                             2           |        32
                             .            |         .
                             .            |         .
                             .            |         .
I want it to be something link this
Products.Name                     |     SUM(Amount)
                             Milk        |        60
                             Butter    |        32
                             .            |         .
                             .            |         .
                             .            |         .

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Create a View with Aggregation Function (COUNT)

I've been looking up and down for a way to create a view with a few basic fields and some other fields containing aggregation function.
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Hello Aldern
I guess you have read about the SQL statement "CREATE VIEW". When we create a view in the dictionary this SQL statement is finally called to create the view on the DB. Thus, since we do not have any aggregation options in views you cannot achieve what you want using views.
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Need complex query with joins and AGGREGATE functions.

Hello Everyone ;
Good Morning to all ;
I have 3 tables with 2 lakhs record. I need to check query performance.. How CBO rewrites my query in materialized view ?
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TNAME TABTYPE CLUSTERID
DEPT TABLE
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Edited by: 969352 on May 25, 2013 11:34 AM

969352 wrote:
why do you avoid providing requested & NEEDED details?I do NOT understand what do you expect ?
My Goal is :
1. When executing my own query i need to check expalin plan.please proceed to do so
http://docs.oracle.com/cd/E11882_01/server.112/e26088/statements_9010.htm#SQLRF01601
2. IF i enable query rewrite option .. i want to check explain plan ( how optimizer rewrites my query ) ? please proceed to do so
http://docs.oracle.com/cd/E11882_01/server.112/e16638/ex_plan.htm#PFGRF009
3. My only aim is QUERY PERFORMANCE with QUERY REWRITE clause in materialized view.It is an admirable goal.
Best Wishes on your quest for performance improvements.

Join numeric with join numbers function

Hi ! a small question from a guy that didnt use labview for a while !
i need to use the join number function to join two DBL number A and B to form a new number A.B, just like the join numbers function
in the example i would like the results after the join number function to be 1.5
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seems easy enough but i need a good refreshment on how those bits, bytes and numeric works together.. doh !
thank for everyone involved, Kudos to all labview champions!
Solved!
Go to Solution.
Attachments:
join numbers.png ‏108 KB
test comm.png ‏91 KB

Hi yan,
it seems you really need a refreshment on all those bits/bytes/numeric representations
Typecasting floats (DBL) to U16 will probably never result in the desired value.
Why do you convert your U16 modbus values to DBL anyway? Stick with U16 and you will have no problems using JOIN or any other bit-banging function...
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CLAD, using 2009SP1 + LV2011SP1 + LV2014SP1 on WinXP+Win7+cRIO
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Update with join

Hello Everybody
I have 3 tables in a maxdb 7.6 database
rbarbeitsplanpos key=rbarbeitsplanposid column gewichtung,...
rbaplposausf key=rbaplposausfid columns rbarbeitsplanposid,...
rbqspruefpos key=rbqspruefposid columns rbaplposausfid,gewichtung,...
Now i want to update gewichtung in rbqspruefpos with the value of gewichtung in the corresponding record in rbarbeitsplanpos.
The way to find the correct value is:
From rbqspruefpos with rbaplposausfid into rbaplposausf
From rbaplposausf with rbarbeitsplanposid to rbarbeitsplanpos
I found this hit:
A simple example of the power of including joins in an Update Statement:
Update Tbl1 set tbl1.field1=tbl2.field2*.10,
from Tbl1 join tbl2 on tbl1.PKfield=tbl2.tbl1FK
This will update all the joined rows in tbl1 to 10% of the values in tbl2.
I code:
update rbqspruefpos set gewichtung = rbarbeitsplanpos.gewichtung,
from rbqspruefpos
join rbaplposausf on rbqspruefpos.rbaplposausfid = rbaplposausf.rbaplposausfid
join rbarbeitsplanpos on rbarbeitsplanpos.rbarbeitsplanposid = rbaplposausf.rbarbeitsplanposid
General error;-5016 POS(73) Missing delimiter: =
This one works without errors:
update rbqspruefpos set gewichtung = (select rbarbeitsplanpos.gewichtung from rbarbeitsplanpos
join rbaplposausf on rbarbeitsplanpos.rbarbeitsplanposid = rbaplposausf.rbarbeitsplanposid
join rbqspruefpos on rbqspruefpos.rbaplposausfid = rbaplposausf.rbaplposausfid)
but all rbqspruefpos.gewichtung are filled with the same value?
The first value found in rbarbeitsplanpos.
Any help welcomed
Best regards
Albert

> I code:
> update rbqspruefpos set gewichtung = rbarbeitsplanpos.gewichtung,
> from rbqspruefpos
> join rbaplposausf on rbqspruefpos.rbaplposausfid = rbaplposausf.rbaplposausfid
> join rbarbeitsplanpos on rbarbeitsplanpos.rbarbeitsplanposid = rbaplposausf.rbarbeitsplanposid
>
> General error;-5016 POS(73) Missing delimiter: =
>
>
> This one works without errors:
> update rbqspruefpos set gewichtung = (select rbarbeitsplanpos.gewichtung from rbarbeitsplanpos
> join rbaplposausf on rbarbeitsplanpos.rbarbeitsplanposid = rbaplposausf.rbarbeitsplanposid
> join rbqspruefpos on rbqspruefpos.rbaplposausfid = rbaplposausf.rbaplposausfid)
>
> but all rbqspruefpos.gewichtung are filled with the same value?
> The first value found in rbarbeitsplanpos.
Looks like you're doing it wrong.
Subselects need to be enclosed in brackets.
See [Subquery (subquery)|http://maxdb.sap.com/doc/7_6/60/515f3eca2a11d2a97100a0c9449261/content.htm]
Only scalar subselects (these are the ones that by their very structure can only produce zero or one rows in the result set) can omit the brackets.
The database cannot know that there is only one value in this column - you may try and put a aggregation function round it.
regards,
Lars

Aggregation function for field in ALV Webdynpro ABAP

Dear all,
Can I create aggregation function on one field of ALV WDA which that is currency type field and then display the result based on currency key field?
i've tried using code as shown below
lo_wd_field = lo_model->if_salv_wd_field_settings~get_field( 'TOTAL' ).
DATA: lo_field_aggr TYPE REF TO cl_salv_wd_aggr_rule.
lo_field_aggr = lo_wd_field->if_salv_wd_aggr~create_aggr_rule( ).
CALL METHOD lo_field_aggr->set_aggregation_type
EXPORTING
value = if_salv_wd_c_aggregation=>aggrtype_total.
lo_wd_field->set_reference_field_type( if_salv_wd_c_field_settings=>reffieldtype_curr ).
lo_wd_field->set_reference_field( 'WAERS' ).
and then i've tried enabled standard function as shown below
lo_model->if_salv_wd_std_functions~set_aggregation_allowed( abap_true ).
But Why result of aggregation is not formatted based on currency key?
Best regards,
Agnis Virtinova Avency

Hi Virtonova,
My requirement is also simillar.
I want to aggregate total based on Currency key.
In the total for sub groups and final total with out any text or Description getting only single or double or triple ( dots ). .
Is it possible to populate / change with useful text or decription for those rows.
I am not getting Currency type after the total/sub totals.
how to fix this in ALV list after using aggregate for the ALV.
Thanks in advance.
Dav

User Defined Function VS join - Performance....

Hi All,
while linking the mulitple table and getting the values ....which one is the best ?
Joining or User defined function.....
single row function
select a.name , get_salary(empid) from emp a;
Note : get_salary function will return the salary from salary tables.
Using joins
select a.name ,b.salary from emp a, salary b
where a.empid=b.empid;
which is the performancewise best ?
also if you give any related document also fine.
Thanks in advance.
Edited by: BASKAR NATARAJAN on Jan 6, 2011 10:09 PM

Don't use such functions for joins. The function itself has to query the salary table. It will run the query against the salary table separately for each row that it reads from the emp table. You will end up with multiple recursive calls and possibly inconsistency in the output. (Imagine what would happen if the salary table were updated and commited while this query was running -- some rows would have been read with the pre-update values and others with the updated values).
Specifying the join in the query ensures that a single SQL call is executed and provides read consistency across all the rows it reads. And it is much faster, being one single parse and execute.
Hemant K Chitale
http://hemantoracledba.blogspot.com

Materialized View with Joins and Possibilities of Partitioning

Hi,
We have a materialized view which has a data to query around 12 gb. The query goes some thing like
this.
Select a.c1,a.c2,b.c1,b.c2,c.c1,c.c2
from a,b,c
where a.c1=b.c1
--and the where condition goes on...
--i.e Basically joining 3 different tables with complex join conditions but without any group functions and subqueries.
Now i have few questions here.
Firstly as the Mview is created with joins we will have to create separate logs for each tables and we have did the same. The logs are created with rowid and sequence for better performance during refresh.
Question No 1
Is this is a best approach for materializing a query with complex join conditions. Or Is it better to make 3 different materialized views for each 3 tables and join those 3 MViews and write a query for my report. I ask this question just to make sure the refresh time is brought down by this method. But as such as we have created 3 different logs for 3 tables the refresh must be happening separately.
Question No 2
Data is likely to grow faster and faster on this. So we have a idea of making this a partitioned Mview. Can the Pro's advice me on this and suggest me the right practice for the same and help me to correct links from where i can pick a example and continue from there.
Question No 3
How to find whether the materialized view has refreshed on a fast mode or complete mode after the last refresh.
Apart from querying and checking the rowid which i feel is quiet cumbersome for a mview with a data volume like what we have. By default when i see the info in TOAD for this Mview it shows Refresh Mode as "Force". But how to ascertain this.
Thanks in anticipation for a good round of discussion

Hi,
We have a materialized view which has a data to query around 12 gb. The query goes some thing like
this.
Select a.c1,a.c2,b.c1,b.c2,c.c1,c.c2
from a,b,c
where a.c1=b.c1
--and the where condition goes on...
--i.e Basically joining 3 different tables with complex join conditions but without any group functions and subqueries.
Now i have few questions here.
Firstly as the Mview is created with joins we will have to create separate logs for each tables and we have did the same. The logs are created with rowid and sequence for better performance during refresh.
Question No 1
Is this is a best approach for materializing a query with complex join conditions. Or Is it better to make 3 different materialized views for each 3 tables and join those 3 MViews and write a query for my report. I ask this question just to make sure the refresh time is brought down by this method. But as such as we have created 3 different logs for 3 tables the refresh must be happening separately.
Question No 2
Data is likely to grow faster and faster on this. So we have a idea of making this a partitioned Mview. Can the Pro's advice me on this and suggest me the right practice for the same and help me to correct links from where i can pick a example and continue from there.
Question No 3
How to find whether the materialized view has refreshed on a fast mode or complete mode after the last refresh.
Apart from querying and checking the rowid which i feel is quiet cumbersome for a mview with a data volume like what we have. By default when i see the info in TOAD for this Mview it shows Refresh Mode as "Force". But how to ascertain this.
Thanks in anticipation for a good round of discussion

How can I use AGO function with aggregates

I use aggregated table and a detailed table
I have time hierarchy whose lowest level is date. For sales I
created year-to-year (YTD) comparision with AGO function. It
works OK.
BUT, I want to speed it up, so I used aggregates. I created new
time table grouped by MONTH and corresponding agg_SALES table. I
created connections and mapped the fields. It works OK for
normal queries, that means my queries at month level use
aggregates. BUT when I add YTD measures or YAGO measure in query, it goes to
then SALES table whose grain is date.
How can I force BI Server to use AGO function with aggregates?
I use OBIEE 10.1.3.4
Thank you
Ishaq
(Question originally taken from ITtoolbox and posted by Gorazd)
SORRY - THE QUESTION IS IN THE WRONG FORUM
Edited by: ishaq12 on Nov 19, 2008 12:21 PM

Hi,
you can not do it in Administration tool but you can set agregation for that field in Answers (fx->Agregation rule->Sum) and effect should be the same. Note that it may not work properly on Oracle 10g as generated SQL is not 100% recognized, on 11g everything is OK (at least in my case).
Regards,
Marko
Edited by: user10449532 on 2008.11.19 06:29

Pipelined Function with execute immediate

Hello Experts,
I have created a Pipe lined function with execute immediate, due to below requirement;
1) Columns in where clause is passed dynamically.
2) I want to know the data stored into above dynamic columns.
3) I want to use it in report, so I don't want to insert it into a table.
I have created a TYPE, then through execute immediate i have got the query and result of that query will be stored in TYPE.
But when calling the function i am getting
ORA-00932: inconsistent datatypes: expected - got -
Below is my function and type, let me know i am going wrong, and is my logic correct.
CREATE OR REPLACE TYPE OBJ_FPD AS OBJECT
                  (LOW_PLAN_NO VARCHAR2 (40),
                   FPD VARCHAR2 (5),
                   SERIAL_NO NUMBER,
                   CEDIA_CODE VARCHAR2 (2),
                   DT DATE);
CREATE OR REPLACE TYPE FPD_TBL_TYPE AS TABLE OF OBJ_FPD;
CREATE OR REPLACE FUNCTION FUNC_GET_FPD_DATE (P_LOW_PLAN_NO    VARCHAR2,
                                              P_CEDIA_CODE     VARCHAR2,
                                              P_SERIAL_NO      NUMBER)
   RETURN FPD_TBL_TYPE
   PIPELINED
AS
   CURSOR C1
   IS
          SELECT 'FPD' || LEVEL TBL_COL
            FROM DUAL
      CONNECT BY LEVEL <= 31;
   V_STR        VARCHAR2 (5000);
   V_TBL_TYPE   FPD_TBL_TYPE;
BEGIN
   FOR X IN C1
   LOOP
      V_STR :=
            'SELECT A.low_PLAN_NO,
           A.FPD,
           A.SERIAL_NO,
           A.cedia_code,
           TO_DATE (
                 SUBSTR (FPD, 4, 5)
              || ''/''
              || TO_CHAR (C.low_PLAN_PERIOD_FROM, ''MM'')
              || ''/''
              || TO_CHAR (C.low_PLAN_PERIOD_FROM, ''RRRR''),
              ''DD/MM/RRRR'')
              DT FROM ( SELECT low_PLAN_NO, '
         || ''''
         || X.TBL_COL
         || ''''
         || ' FPD, '
         || X.TBL_COL
         || ' SPTS, SERIAL_NO, cedia_code FROM M_low_PLAN_DETAILS WHERE NVL('
         || X.TBL_COL
         || ',0) > 0 AND SERIAL_NO = '
         || P_SERIAL_NO
         || ' AND cedia_code = '
         || ''''
         || P_CEDIA_CODE
         || ''''
         || ' AND low_PLAN_NO = '
         || ''''
         || P_LOW_PLAN_NO
         || ''''
         || ') A,
           M_low_PLAN_DETAILS B,
           M_low_PLAN_MSTR C
     WHERE     A.low_PLAN_NO = B.low_PLAN_NO
           AND A.cedia_code = B.cedia_code
           AND A.SERIAL_NO = B.SERIAL_NO
           AND B.low_PLAN_NO = C.low_PLAN_NO
           AND B.CLIENT_CODE = C.CLIENT_CODE
           AND B.VARIANT_CODE = C.VARIANT_CODE
CONNECT BY LEVEL <= SPTS';
      EXECUTE IMMEDIATE V_STR INTO V_TBL_TYPE;
      FOR I IN 1 .. V_TBL_TYPE.COUNT
      LOOP
         PIPE ROW (OBJ_FPD (V_TBL_TYPE (I).LOW_PLAN_NO,
                            V_TBL_TYPE (I).FPD,
                            V_TBL_TYPE (I).SERIAL_NO,
                            V_TBL_TYPE (I).CEDIA_CODE,
                            V_TBL_TYPE (I).DT));
      END LOOP;
   END LOOP;
   RETURN;
EXCEPTION
   WHEN OTHERS
   THEN
      RAISE_APPLICATION_ERROR (-20000, SQLCODE || ' ' || SQLERRM);
      RAISE;
END;Waiting for your views.
Regards,

Ora Ash wrote:
Hello Experts,
I have created a Pipe lined function with execute immediate, due to below requirement;
1) Columns in where clause is passed dynamically.No, that's something you've introduced, and is due to poor database design. You appear to have columns on your table called FPD1, FPD2 ... FPD31. The columns do not need to be 'passed dynamically'
2) I want to know the data stored into above dynamic columns.And you can know the data without it being dynamic.
3) I want to use it in report, so I don't want to insert it into a table.That's fine, though there's no reason to use a pipelined function.
You also have an pointless exception handler, which masks any real errors.
I'm not quite sure what the point of your "connect by" is in your query as we don't have your tables or data or know for sure what the expected output is.
However, in terms of handling the 'dynamic' part that you've introduced, then you would be looking at doing something along the following lines, using a static query that requires no poor dynamic code, and no pipelined function...
with x as (select level as dy from dual connect by level <= 31)
select a.low_plan_no
      ,a.fpd
      ,a.serial_no
      ,a.cedia_code
      ,trunc(c.low_plan_period_from)+a.dy-1 as dt
from (select low_plan_no
             ,dy
             ,'FPD'||dy as fpd
             ,spts
             ,serial_no
             ,cedia_code
       from (
             select low_plan_no
                   ,x.dy
                   ,case x.dy when 1 then fpd1
                              when 2 then fpd2
                              when 3 then fpd3
                              when 4 then fpd4
                              when 5 then fpd5
                              when 6 then fpd6
                              when 7 then fpd7
                              when 8 then fpd8
                              when 9 then fpd9
                              when 10 then fpd10
                              when 11 then fpd11
                              when 12 then fpd12
                              when 13 then fpd13
                              when 14 then fpd14
                              when 15 then fpd15
                              when 16 then fpd16
                              when 17 then fpd17
                              when 18 then fpd18
                              when 19 then fpd19
                              when 20 then fpd20
                              when 21 then fpd21
                              when 22 then fpd22
                              when 23 then fpd23
                              when 24 then fpd24
                              when 25 then fpd25
                              when 26 then fpd26
                              when 27 then fpd27
                              when 28 then fpd28
                              when 29 then fpd29
                              when 30 then fpd30
                              when 31 then fpd31
                    else null
                    end as spts
                   ,serial_no
                   ,cedia_code
             from   x cross join m_low_plan_details
             where serial_no = p_serial_no
             and    cedia_code = p_cedia_code
             and    low_plan_no = p_low_plan_no
       where nvl(spts,0) > 0
      ) A
      join m_low_plan_details B on (    A.low_plan_no = B.low_plan_no
                                    and A.cedia_code = B.cedia_code
                                    and A.serial_no = B.serial_no
      join m_low_plan_mstr C on (    B.low_plan_no = C.low_plan_no
                                 and B.client_code = C.client_code
                                 and B.variant_code = C.variant_code
connect by level <= spts;... so just remind us again why you think it needs to be dynamic?

Dimension table to support Hierarchy and the aggregation functions

Hello expert,
Now I seem to know why those aggregation functions e.g. SUM, COUNT failed whenever the report is executed.
I have a fact table REJECT_FACT contains all the information of rejects:
Reject ID
Reject Category
Reject Code
Reject Desc
Site Desc
Site Code
Region Desc
Age Group
Reject Date
So I created a alias REJECT_DIM based on REJECT_FACT. After several trials, I think that the aggregation functions do not work with alias because after I remove the REJECT_DIM, the aggregation seem working.
Is my concept right? Or I am missing something? I don't understand that the data model for datawarehouse should be simple, why do we need to create many dimension tables to support the hierarchy?

Hello expert,
Thank you very much for your reply.
Actually the data model is very simple. There is only one physical table REJECT_FACT. The structure is as follows:
Reject ID (NUMBER)
Reject Category (VARCHAR2)
Reject Code (VARCHAR2)
Reject Code Desc (VARCHAR2)
Site Desc (VARCHAR2)
Site Code (VARCHAR2)
Region Desc (VARCHAR2)
Age Group (VARCHAR2)
Reject Date (DATE)
The hierarchy required is as follows:
Reject Category -> Reject Code Desc -> Site Desc -> Region Desc -> Age Group -> Reject Date.
I want to produce count on each hierachy level.
How to populate the hierachy structure effectively?
Thanks......

How to optimize a MDX aggregation functions containing "Exists"?

I have the following calculated measure:
sum(([D Player].[Player Name].[All],
exists([D Match].[Match Id].children,([D Player].[Player Name].currentmember,[Measures].[In Time]),"F Player In Match Stat" ))
,[Measures].[Goals])
Analyzing this calculated measure (the one with "nonempty") in MDX Studio shows "Function
'Exists' was used inside aggregation function - this disables block computation mode".
Mosha Pasumansky spoke about this in one of his posts titled "Optimizing
MDX aggregation functions" where he explains how to optimize MDX aggregation functions containing "Filter",
"NonEmpty", and "Union", but he said he didn't have time to write about Exists, CrossJoin, Descendants, or EXISTING (he posted this in Oct. 2008 and the busy man didn't have time since that date :P )... so anyone knows an article that continues
on what Mosha miss or forgot? how to optimize a MDX aggregation function containing "Exists"? what can I do to achieve the same as this calculated measure but in block mode not cell-by-cell mode ?

Sorry for the late replay.
I didn't check if your last proposed solution is faster or not, but I'm sorry to say that it gave the wrong result, look at this:
Player Name
Players Team
Goals Player Scored with Team
A
Team's Goals in Player's Played Matches
Lionel Messi
Argentina
28
28
110
Lionel Messi
Barcelona
341
330
978
The correct result should be like the green column. The last proposed solution in the red column.
If you look at the query in my first post you will find that the intention is to find the total number of goals a team scored in all matches a player participated in. So in the above example Messi scored 28 goals for Argentina (before the last world cup:)
) when the whole Argentinian team scored 110 goals (including Messi's goals) in those matches that Messi played even one minute in.

Aggregation Function

I followed an example on the web and created a LIST() aggregation function to transpose rows to a comma delimited string. After certain length, the result appears to be out of order. I thought it was parallel_enable issue, but it's the same after I removed the clause from CREATE FUNCTION statement.
For example, the following SQL
SELECT LIST(column_name) FROM user_tab_columns
WHERE table_name='TEST' ORDER BY column_id
generate the following string:
c122,c123,c124,...,c1,c2,c3,...,c121
What should I do to correct this behavior? Thanks.
Here is the script:
create or replace type ListType as object
(list varchar2(4000),
static function ODCIAggregateInitialize(sctx IN OUT ListType) return number,
member function ODCIAggregateIterate(self IN OUT ListType, value IN varchar2) return number,
member function ODCIAggregateTerminate(self IN ListType, returnValue OUT varchar2, flags IN number) return number,
member function ODCIAggregateMerge(self IN OUT ListType, ctx2 IN ListType) return number
create or replace type body ListType
is
static function ODCIAggregateInitialize(sctx IN OUT ListType)
return number is
begin
sctx := ListType(null);
return ODCIConst.Success;
end;
member function ODCIAggregateIterate(self IN OUT ListType, value IN varchar2)
return number is
begin
self.list := self.list || ',' || value;
return ODCIConst.Success;
end;
member function ODCIAggregateTerminate(self IN ListType, returnValue OUT varchar2, flags IN number)
return number is
begin
returnValue := rtrim(ltrim(self.list,','),',');
return ODCIConst.Success;
end;
member function ODCIAggregateMerge(self IN OUT ListType, ctx2 IN ListType)
return number is
begin
self.list := self.list|| ',' || ctx2.list;
return ODCIConst.Success;
end;
end;
create or replace function list(input varchar2) return varchar2
parallel_enable aggregate using ListType;
grant EXECUTE on list to PUBLIC
/

in 10g, you could use something like
regexp_replace( list(distinct to_char(column_id,'0000')||':'||column_name), '([:[digit]:]){4}:')
if you need to support 9i, you cannot use regular expression, but you can write your own function and concatenated substr. kind of loop with instr(:) and substr()
HTH
Laurent
Message was edited by:
Laurent Schneider
but, if you need to sort, use ORDER BY. my solution is a not recommended, it is a very dirty trick
Message was edited by:
Laurent Schneider
use order by within your aggregate function, to sort the resultset each time, as advised by tom kyte in the link above

User Aggregated Function in Discoverer

Hi.
I'm trying to use an "User Aggregated Function" in Discoverer. This function concatenates a varchar field, and I want to use as a max(), min() or count() functions, but Discoverer always write this function in the group block of the query, and the databse generates an error.
This is the user agrgegated function:
CREATE OR REPLACE function DDS_UXXIINV.var_agg (input varchar2) return varchar2
parallel_enable aggregate using agg_t;
The package agg_t is defined as:
create or replace type agg_t as object (
str_agg varchar2(4000),
static function ODCIAggregateInitialize(sctx in out agg_t)
return number,
member function ODCIAggregateIterate (self in out agg_t,
value in varchar2 )
return number,
member function ODCIAggregateTerminate (self in agg_t ,
return_value out varchar2,
flags in number )
return number,
member function ODCIAggregateMerge(self in out agg_t,
ctx2 in agg_t )
return number
create or replace type body agg_t is
static function ODCIAggregateInitialize(sctx in out agg_t)
return number is
begin
sctx := agg_t(null);
return ODCIConst.Success;
end;
member function ODCIAggregateIterate(
self in out agg_t, value in varchar2)
return number is
begin
str_agg := str_agg || value;
return ODCIConst.Success;
end;
member function ODCIAggregateTerminate(self in agg_t,
return_value out varchar2, flags in number) return number is
begin
return_value := str_agg;
return ODCIConst.Success;
end;
member function ODCIAggregateMerge(self in out agg_t,
ctx2 in agg_t) return number is
begin
str_agg := str_agg || ctx2.str_agg;
return ODCIConst.Success;
end;
end;
When I use this functions (as a calculated field) Discoverer generates this statment:
select var_agg(field1), field2 form table group by var_agg(field1), field2;
I want this statement:
select var_agg(field1), field2 form table group by field2;
Sometimes Oracle generates a error messages saying that there's a wrong combinations of joins (translated from spainsh)
Regards
Óscar Blanco

Hi,
Unfortunately, you cannot import user defined group functions into Discoverer, Discoverer does not understand them.
Rod West

Return multiple columns from an analytic function with a window

Hello,
Is it possible to obtain multiple columns from an analytic function with a window?
I have a table with 4 columns, an id, a test id, a date, and the result of a test. I'm using an analytic function to obtain, for each row, the current test value, and the maximum test value in the next 2 days like so:
select
id,
test_id,
date,
result,
MAX ( result ) over ( partition BY id, test_id order by date RANGE BETWEEN CURRENT ROW AND INTERVAL '2' DAY FOLLOWING ) AS max_result_next_two_day
from table
This is working fine, but I would like to also obtain the date when the max result occurs. I can see that this would be possible using a self join, but I'd like to know if there is a better way? I cannot use the FIRST_VALUE aggregate function and order by result, because the window function needs to be ordered by the date.
It would be a great help if you could provide any pointers/suggestions.
Thanks,
Dan
http://danieljamesscott.org

Assuming RESULT is a positive integer that has a maximum width of, say 10,
and assuming date has no time-component:
select
   id
,test_id
,date
,result
,to_number(substr(max_result_with_date,1,10)) as max_result_next_two_day
,to_date(substr(max_result_with_date,11),'YYYYMMDD') as date_where_max_result_occurs
from (select
        id
       ,test_id
       ,date
       ,result
       ,MAX(lpad(to_char(result),10,'0')||to_char(date,'YYYYMMDD'))
           over (partition BY id, test_id
                 order by date
                 RANGE BETWEEN CURRENT ROW AND INTERVAL '2' DAY FOLLOWING )
        AS max_result_with_date
      from table)

Aggregation Function With Joining

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