Query across two facts with filter on unconformed dimension

Hi
This question is actually regurgitated from another post as I wrongly tagged it onto the end of an already answered question.
Anyway, I am trying to query across 2 fact tables which have a dimension in common (conformed) and also some dimensions that are not directly joined to BOTH fact tables (seemedly referred to as 'unconformed' in OBIEE).
So in it's simplest form
Fact1, measure1 linked to dim1 & dim2
Fact2, measure2 linked to dim2 only
I have followed the recommended method advertised here and elsewhere of adding the second fact as a LTS of the first in the BMM layer and setting logical levels on measure2 to Total for all dimensions that fact2 is not joined to (in this case dim1).
When a basic query is issued in Answers that filters on the unconformed dimension (dim1), a spurious result set is returned that includes all records for the second fact.
This is quite a standard warehousing reporting query whereby 2 sets of data are queried independently and then joined on their common attributes but in this scenario the BI server seems to always generate a FULL OUTER JOIN and return an unrestriced data set.
Has anyone else come across this strange behaviour?
thanks
Tony

adding the second fact as a LTS of the first in the BMM layer
Could you try without this step? Just have separate facts and separate LTSs and set
Fact1 LTS to lowest for Dim1
Fact1 LTS to lowest for Dim2
Fact2 LTS to Total for Dim1
Fact2 LTS to lowest for Dim2
?

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Querying against two fact tables with non conformed dimension

I have two fact tables and I have this set up in RPD :
Fact1 joined to DimA and DimB
Fact2 joined to DimA
On Front end I build two analysis:
Analysis 1:
DimA.A, Fact1.1, Fact2.2
Analysis 2 :
DimA.A, DimB.B, Fact1.1, Fact2.2
In the results of Analysis 1 , I am seeing correct values for Fact2.2
In the results of Analysis 2, I am seeing Fact2.2 as empty column. I think the reason is that Fact2 is not joined to DIMB.
Is it possible that I should be able to report against both dimension tables (DIMA and DIMB) columns for FACT1 and FACT2 measures.... Even though I don't have join between DIMB and FACT2.
Any response would be helpful!!!
Regards,
Annu

Hi,
Go to the LTS-- Content Level of the fact which does not have join with Dimension and put Total level for that Dimension and total level on Column(Measure also)(Double click --Levels)(Assume Dim Hierarchy is already set up)
Pull everything(D1,D2,F1,F2) You will see results.
Update Me
Thanks
NK
Edited by: DNK on Mar 20, 2013 1:35 PM

Two facts with conformed dimension

Starting new thread per Alistair's request :)
I have two facts
Class Enrollment (who is enrolled in which classes)
External Test Scores (who got what score on what exam)
The only dimension they have in common is "Person".
Is it possible to build a presentation layer that includes both facts, the Person dimension, and dimensions that related to one fact but not the other (e.g. dimension "External Test Type" or dimension "Course")?
How would I set up the BI metadata to answer the question:
What was the average grade for Course ABC for students who scored above a 50 on test XYZ?
So far, for External Test Scores fact, I have created hierarchies(/dimensions) for any related dimension tables that didn't already have hierarchies defined. I then went to the Content tab for External Test Scores and set aggregation levels (lowest level for everything related to the fact, "total" level for everything NOT related to the fact).
I put both facts and the "Person" dimension into a presentation folder. I can query test scores ok, but when I add in a simple "Row Count" column from class enrollment, I get no data back.
Do I now go back and do the same Content tab settings for the Class Enrollment fact? My initial attempts at this yielded consistency check warnings of "Logical table source does not join to any fact source".
Huge thanks for suggestions.
-John

Hi John,
I tend to harp on a lot about the need for a hierachy on every logical dim, even just total -> detail. It allows this (non-conformed) approach for starters, also allows another developer to quickly ascertain the relationship between objects.
About the complex joins, I meant do as you will have done for a normal star with just the conformed dims, so thats Foreign keys where applicable in the Phyiscal layer, and Complex joins where applicable in the BMM layer. I just wanted to make a point that you should do this as per a normal normal star schema with fully conformed dimensions, and merely that the none-conformed dimension will only be connected to its relevant fact table - probably didnt need to say it as it may be more confusing!
Your correct with aggregation rules, ideally all objects in a logical fact should have an aggregation rule - otherwise it should be in a logical dimension.
As to the approach, this is the way i've always handled non-conformed dimensions when the requirement is to see both facts on the same report. Our Peak Indicators OBIEE training material on this subject is as follows :
"order" fact table, dimensioned by Date, Customer, Product.
"inventory" fact table dimensioned by Product only.
Report requirement - Show me all orders where the order_qty (order fact) is greater than the total qty in stock (inventory fact)
So like your example, we sum up both qty's and use a where clause to filter only rows where one fact measure is greater than another measure.
Whats the ideal approach ??
If you had control of the ETL perhaps you could seed an 'unknown' record in the non-conforming dimensions, and then reference this on the other fact table, but I'd say the majority of the time, the customer who wants everything by everything in their subject area needs a little education, its really not good for end users having 10's of folders with 10's of columns - we should be creating analysis subject areas to enable the answering of business questions, theres no reason why we cant combine reports from different subject areas on one dashboard page, all using a common set of prompts, but there really isnt a need to give an end user the whole BMM / DW etc in one go.......unless they are paying of course, and after you've tried to educate them they want it there way :-)

Problem querying over two fact tables

The business requirement is that we want to be able to see sales for two different periods of times, over different brands, different Items' years and seasons per periods.
So for the different dimensions I created alias having two tables in the physical layer
for Brands, Shops and Items (tables) [These are the tables where I query for different brand, Item's year and different season]. The Business Model Schema looks like this:
Items-----> SALES <------Brands Items 2-----> SALES 2 <------------Brands 2
^ ^
TIMES TIMES 2 (TIMES JOINED WITH SALES AND TIMES 2 WITH SALES 2)
and VENDORS connected to both SALES & SALES 2 left outer joined
The need is that I need to query over two indepedent periods of time with independed dimensions but for a common dimension (Vendors).
The presentation data simplified looks like this:
Answers
Vendor Sales Qty Sales 2 Qty
1092 234 123
The problem is that when a vendor doesn't exist in one period it doesn't come and in the other although there are sales. So when I query with the same filters (same period of time, Brands, Items' years and seasons) over these two fact tables I get the same sales and correct data. When there are different criteria then I lose data.
The Query fired in the database is the following:
select distinct case when D2.c4 is not null then D2.c4 when D1.c4 is not null then D1.c4 end as c1,
D1.c3 as c4,
D1.c1 as c5,
D1.c2 as c6,
cast(D1.c2 / nullif( D1.c1, 0) * 100 as DOUBLE PRECISION ) as c7,
D2.c3 as c8,
D2.c1 as c9,
D2.c2 as c10,
cast(D2.c2 / nullif( D2.c1, 0) * 100 as DOUBLE PRECISION ) as c11
from
(select sum(T43161.amnt_1) as c1,
sum(T43161.mk_1) as c2,
sum(T43161.qty_1) as c3,
T7120.VE_NAME as c4
from
VE04_TBL T7120,
GE04_COMPANY_TBL T43802,
EI04_TBL T6931,
Salesmcost T43161
where ( T6931.EI_CODE = T43161.ei_code and T6931.VE_CODE = T7120.VE_CODE and T6931.GE_COMPANY_CODE = '1' and T6931.EI_SEASON_CODE = 'Χ' and T6931.EI_YEAR = '2009' and T7120.GE_COMPANY_CODE = '1' and T7120.VE_CODE = T43161.ve_code and T43161.ge_company_code = T43802.GE_COMPANY_CODE and T43802.GE_COMPANY_NAME = '*** Φ. & Κ. ΛΕΜΟΝΗΣ ΑΕΒΕ ****' and T43802.LIST_ITEM_IND = '1' and T43161.trans_date >= ADD_MONTHS(TO_DATE('2010-05-12' , 'YYYY-MM-DD'), -7 * 12 ) and T43161.trans_date between TO_DATE('2009-01-01' , 'YYYY-MM-DD') and TO_DATE('2009-01-31' , 'YYYY-MM-DD') )
group by T7120.VE_NAME
) D1,
(select sum(T44099.amnt_1) as c1,
sum(T44099.mk_1) as c2,
sum(T44099.qty_1) as c3,
T7120.VE_NAME as c4
from
EI04_TBL T44615 /* EI04_TBL 2 */ ,
VE04_TBL T7120,
GE04_COMPANY_TBL T43802,
Salesmcost T44099 /* Salesmcost_2 */
where ( T7120.VE_CODE = T44099.ve_code and T7120.VE_CODE = T44615.VE_CODE and T7120.GE_COMPANY_CODE = '1' and T43802.GE_COMPANY_CODE = T44099.ge_company_code and T43802.GE_COMPANY_NAME = '*** Φ. & Κ. ΛΕΜΟΝΗΣ ΑΕΒΕ ****' and T43802.LIST_ITEM_IND = '1' and T44099.ei_code = T44615.EI_CODE and T44615.GE_COMPANY_CODE = '1' and T44615.EI_SEASON_CODE = 'Χ' and T44615.EI_YEAR = '2008' and T44099.trans_date between TO_DATE('2008-01-01' , 'YYYY-MM-DD') and TO_DATE('2008-01-31' , 'YYYY-MM-DD') )
group by T7120.VE_NAME
) D2
where ( D1.c4 = D2.c4 ) /*<------- I think that this join creates the problem*/
order by c1
Edited by: user1198434 on 12 Μαϊ 2010 5:14 πμ
Edited by: user1198434 on 12 Μαϊ 2010 5:41 πμ

Hi,
go through this
http://obiee101.blogspot.com/search/label/OUTER%20JOIN
I think you are new to the forum. try searching through some of the famous obiee forums. Gurus have already covered most of the issues. few are,
http://obiee101.blogspot.com
http://oraclebizint.wordpress.com/
http://gerardnico.com/weblog/
http://108obiee.blogspot.com/
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Problems querying over two fact tables

I have a problem! could anyone help???
I have two fact tables (coming out from two select statements in the physical layer).
SALES 2 is an alias of SALES. These two tables join with some dimensions. The schema is this:
DIMENSIONS 1 >SALES <---COMMON DIMS----> SALES 2 <-- DIMENSIONS 2
SALES has three separate dimensions joining only with it.
SALES 2 the same.
The problem is that there are two common dimensions between them. When I run a query for the same criteria the results are correct. But when I am running the query for different criteria SALES are affected by SALES 2 messing up the results. Probably the problem occurs by inner joining via the common dimensions. Can anyone help me please???? THANKS IN ADVANCE!

Thank you very much for your patience....Here is the SQL:
SELECT VE04_TBL.VE_NAME saw_0, SALES.qty_1 saw_1, "SALES 2".qty_2 saw_2, REPORT_SUM(saw_1 BY ), REPORT_SUM(saw_2 BY )
FROM lpvemprofit
WHERE (TIMES.trans_date BETWEEN date '2009-01-01' AND date '2009-01-10')
AND (EI04_TBL.EI_YEAR = '2009') <-----(Item's Year)
AND (EI04_TBL.EI_SEASON_CODE IN ('R', 'Ε', 'Χ')) <----- (Item's Season)
AND (GE_SHOP_TBL.Brand = 'Καλογήρου') <-----(Shop's Brand)
AND ("TIMES 2"."trans_date 2" BETWEEN date '2008-01-01' AND date '2008-01-10')
AND ("GE_SHOP_TBL 2"."Brand 2" = 'Καλογήρου')
AND ("EI04_TBL 2".EI_YEAR = '2008')
AND ("EI04_TBL 2".EI_SEASON_CODE IN ('R', 'Ε', 'Χ')) ORDER BY saw_0

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hi,
Hello Experts,I am reporting out of 2 fact groups.
Mailing History and Booking.
The only common dimension between the 2 is the Person Dimension. I have created the hierarchies and defined the aggregation content in the LTS.This helps me in reporting using any column from the Facts or any one dimension from either of the fact groups. But if i select 2 or more dimensions , one or more from each fact group , then the report gives and error. A general error has occurred. [nQSError: 14026] Unable to navigate requested expression: MailingHistory Campaign.Campaign Name. Please fix the metadata consistency warnings. (HY000)
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Hi naveej,
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I have created two fact tables F1 & F2 and one dimension D.
F1 is joined to D and F2 is also joined to D in Physical layer as well as in BMM layer.
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That is what i have tried.
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I need to solve this situation:
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references: http://oracle-bi.siebelunleashed.com/articles/implicit-fact-column/
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The problem you describe is similar to mine (I wrote several threads ago).
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What I tried to do is to set Total level in the Content tab (LTS properties). In this example - I could set Total level to JOBS in the plan type dimension. But it didn't help.
So if you know what to do then please describe it here...

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Query across two facts with filter on unconformed dimension

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