Mapping the Fact table to different levels of a dimension

Hi,
I have a fact table which stores the data for 4 levels of the dimensions. The aggregation method was taken care by PL/SQL and the fact table will have the data for all the 4 levels. When im trying to map all the levels to a column in the fact table using the OEM, it is generating the F KEY constraints referncing the columns mapped for the various levels of the dimension.
The problem is that im using a denormalised table for maintaing the values of the dimension. So the columns mapped for the levels(Except for the lowest) can't have the unique key defined on it. The cube is not getting created because of the error in creating the F KEY.
Can u please suggest how to map this fact table.
Thnks,
Manohar Vanama

I am not exactly clear on your schema but I believe you are trying to map tables which are not strict star or snowflake. This means that you cannot use CWM1 (and OEM), unless you change the structure of the tables. You might be able to map the tables with CWM2. The document below will assist you:
Oracle9i OLAP User's Guide
Chapter 4. Designing Your Database for OLAP
Chapter 5. Creating OLAP Catalog Metadata

Similar Messages

Using 2 fact tables with different granularity against calendar dimension

Hello gurus,
I have a requirement to provide a report to show the consumption of available capacity per month and also YTD.
I have two fact tables:
Fact table ‘Capacity’ with columns:
- Site_id
- Month_id
- Capacity
Ie.
001, 2010M01, 50
001, 2010M02, 50
001, 2010M12, 75
002, 2010M01, 60
002, 2010M02, 65
002, 2010M12, 80
Etc
Fact table ‘Consumption’ with columns
- Site_id
- Day_id
- Consumption
Ie
001, 20100101, 2
001, 20100102, 3
001, 20100131, 1
001, 20100201, 5
001, 20100212, 6
001, 20100228, 4
Etc
As can be see above, my ‘Capacity’ table contains monthly volumes, and the ‘Cunsumption’ table contains daily volumes.
My Calendar dimension is straightforward:
Year
Quarter_id
Month_id
Day_id
Ie
2010, 2010Q1, 2010M01, 20100101
2010, 2010Q1, 2010M01, 20100102
2010, 2010Q1, 2010M01, 20100103
2010, 2010Q1, 2010M01, 20100104
Etc
The MfgSite dimension is also simple:
Site_id
Site_name
Group
These are the steps I have taken sofar:
- Imported the four tables
- Created following joins:
     MfgSite.Site_id = Capacity.Site_id
     MfgSite.Site_id = Consumption.Site_id
     Calendar.Month_id = Capacity.Month_id
     Calendar.Day_id = Consumption.Day_id
- Created Business Model Diagram in BMM
- Created Calendar hierachy:
     Year, Quarter, Month, Day
- Created MfgSite hierarchy:
     Group, SiteName
- Setup Logical Table Source / Content settings as follows:
     Fact table Capacity:
          Dimension MfgSite: Logical Level = Site
          Dimension Calendar: Logical Level = Month
     Fact table Consumption:
          Dimension MfgSite: Logical Level = Site
          Dimension Calendar: Logical Level = Day
- Set Default Aggregation Rule to Sum on Logical Columns:
Capacity.Capacity
Consumption.Consumption
- Created following YTD Logical Columns:
     YTDCapacity = TODATE(Capacity.Capacity, Calendar.Year)
     YTDConsumption = TODATE(Consumption.Consumption, Calendar.Year)
- Created Presentaion layer
I then built a few reports to test it out and found that I have an issue with the Capacity object: When I build a simple report to show capacity per month:
SiteName, Month, Capacity
the capacity for each month is multiplied by the number of calendardays in that months, so I get
Site      Month      Capacity
001      2010M01      1550 (= 31 x 50)
001      2010M02     1400 (= 28 x 50)
Etc
In addition, when I add YTDCapacity to my report, the report fails with the following message:
Unable to navigate requested expression: ToDate(Capacity:[DAggr(Capacity.Capacity by [ Calendar.Year, Calendar.Month_id, MfgSite.Site_id, MfgSite.SiteName] )], [Level Year]). Please fix the metadata consistency warnings. (HY000)
Did I miss any steps? Any help is greatly appreciated!
Thanks!
Randall

hi in the capacity fact table remove the level set for the calendar dim and see.

Error while mapping fact table to LOWEST LEVEL

Hi
While Iam mapping my fact table using cwm2_olap_table_map, map_facttbl_levelkey , Iam mentioning it has the lowest level of dimension table , it is throwing error . Will it only work for ET not for LOWEST LEVEL?. Infact Iam not storing the embedded total any where in my fact tables .
Can anyone help me in mapping the lowest level of dimension to fact table????

Hi
Are you sure you are using the correct mapping tools. It sounds as if you have a relational schema which reauires a CWM mapping procedure? To map a relational schema it is best to use OEM which has wizards to guide you through the mapping process.
CWM2 metadata is used to map 9iR2 Analytical Workspace objects. These typically involve fully summarised variables within the AW.
Hope this helps
Keith Laker
Product Manager
Oracle Business Intelligence Beans

How map to my particular table to the fact table in obiee 11g...

Hi friends,
I did this simple report in obiee 11g(i.e)
"NATIONALITY COUNT IN DEPARTMENT WISE"
For that i used the following tables:
per_all_assignments_f----->fact table
hr_all_organization_units----->dim table(containing departments)
per_all_people_f---------------->dim table(containing nationality)
I made all the mappings in the physical diagram, as also viewed my report in BI answers
It shows the following results like
NATIONALITY---------------------------------------------------------------------COUNT(NATIONALITY)
AUS------------------------------------------------------------------------------------------------24
AFR------------------------------------------------------------------------------------------------25
PHQ_VB-------------------------------------------------------------------------------------------40
SH_VT----------------------------------------------------------------------------------------------4
The problem is for me it is showing the above results, but the nationality column is of various codes of the country.
Since i doesnt want the code of the nationalitian to display in the results..i need the meaning of each and every nationality..
like,
AUS------------------------Australian
AFR-------------------------African
PHQ_VB----------------------Germanian(assigned)
Since i know that the meaning for the nationalitian is available in "FND_LOOKUP_VALUES"...okay..
I can import "FND_LOOKUP_VALUES" table to the physical layer...but how i can able to give the mapping to the fact table in my physical diagram...
In my report the fact table is "per_all_assignments_f"
As my fact table doesnt contains any matching column corresponding to the dimension table "FND_LOOKUP_VALUES".....
Then how i can give mappings to the fact column???? for viewing the full meaning of the nationalitian in my report.....Help me friends...
Regards,
Harry...

Hi bifact,
I followed the step that U asked me to go but im stuck with later.....
*) I saved the query that i executed in toad with the columns showing country codes and country meaning to the excel sheet...
This is the query that i executed in toad and copied data s in excel sheet..
select z.lookup_code, z.meaning
from per_all_people_f e, per_all_assignments_f f, hr_all_organization_units h, fnd_lookup_values z where
e.person_id = f.person_id and f.organization_id = h.organization_id and e.business_group_id = f.business_group_id
and f.business_group_id = h.business_group_id and f.location_id = h.location_id
AND z.lookup_type(+) = 'NATIONALITY'AND z.lookup_code(+) = e.nationality and sysdate between
e.effective_start_date and e.effective_end_date and e.nationality is not null
*) After that i created a system DSN for the excel drive..
*) After that when i tried to import metadata of the excel data that is saved, it showed me connection failed...
For importing this excel data
what connection details i need to give:--------------------
as well as user name and also password...
Soon after importing this excel you said that to give key connection only to fnd_lookup_tables(dim) and that excel data..
if so, again im not giving key connection to my fact table..
I think again the same error will occur that no logical mapping is not made to fact so again repository is inconsistent...
Hi bifact sorry to ask you, but can you see the steps that i followed is correct and after that wat more steps i need to proceed..Can you tell me in breif manner...Thanks for your help...
Regards,
Harry...

Content Tab: None of the fact tables are compatible with the query request

Hi All,
**One thing I am not clear yet of all my years with OBIEE is working with the content tab in BMM.**
I have made a rpd the joins in physical layer as shown below:
https://picasaweb.google.com/114804305606242416264/OBIEEError#5663056545119428530
And the BMM layer as:
https://picasaweb.google.com/114804305606242416264/OBIEEError#5663056519553812930
Error I am getting when i run a request from the 3 columns from the selected 3 tables is:
Dim - Comment Code Details
Fact - Complaint
Dim - Service Details
Error Codes: OPR4ONWY:U9IM8TAC:OI2DL65P
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 14020] None of the fact tables are compatible with the query request Sr Num:[DAggr(Fact - Complaint.Sr Num by [ Dim - Service Details.Sr Cat Type Cd, Dim - Comment Code Details.Cmtcode name] )]. (HY000).
I get no error for consistency.. I read everywhere and I know i need to set the appropriate aggregation levels in the various dims and facts LTS properties to help OBIEE understanding our model, but how to do that.. how do i decide... how should I approach, what should be the aggregation level, what details.
When i click More button i see different options: Copy, Copy From, Get Levels, Check Level, what do these mean.
Aggregation Content, group by - Logical Level or Column which one should i choose and how should I decide.
Can anyone explain the Content Tab in details and from scratch with some example and why we get these errors.... I know many people who are well versed with many other things related to RPD but this. A little efforts of explaining from you guys will really be appreciated.
Thanks in advance,
Dev

Hi Deepak,
Option 1:
My tables in physical layer are joined as below:
D1--> F1 <--D2--> F2 <--D3
Same way i model it in BMM
D1--> F1 <-- D2--> F2 <--D3
Here D1 is non Conformed Dimension for F2 and D3 is non Conformed dim for F1. Later create Dimensional hierarchies, I tried setting up the content levels
I go Sources>content tab of Fact F1 I set
Dimensions----------- Logical level
D1---------------------- D1 Detail
D2---------------------- D2 Detail
D3---------------------- D3 Total
then, I go Sources>content tab of Fact F2 I set
Dimensions----------- Logical level
D1---------------------- D1 Total
D2---------------------- D2 Detail
D3---------------------- D3 Detail
Then, I also go in all the dimensions and set their content levels to Details, but it still gives me errors not sure where I am going wrong in setting the content levels.
I need to know whether the way I have modeled it in BMM is right,
Option 2:
I can combine the two facts in a single Logical Fact or the above design should also work.
(F1&F2)<--D1, D2 , D3 joined separately using complex logical joins.
what will be the content tab details?
Thanks,
Dev

Essbase answers - None of the fact tables are compatible with the query request "member"

Hi,
I have modelled an Essbase database into the repository.
If I pull the measure, period and year dimension in and filter on the year (member) and display the year (member) along with the period (alias) and measure it errors with =>
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 43113] Message returned from OBIS. [nQSError: 43119] Query Failed: [nQSError: 14020] None of the fact tables are compatible with the query request Fiscal Year.Fiscal Year Code. (HY000)
However, all other things being equal if I change the year displayed to the alias then it works.
Anyone tell me why??
Is there a limitation that Essbase brings through that you cannot view what you filter on?
thanks,
Robert.

Hi
i have done the content level setting in each of the table, D1,F1 and F2(LTS), now i am getting the following error..
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 15018] Incorrectly defined logical table source (for fact table Gl Sets Of Books) does not contain mapping for [Code Combinations.Code Combinations.Affiliate, GL Balances.GL Balances.Currency Code, GL Balances.GL Balances.PTD_Balance, Gl Sets Of Books.Gl Sets Of Books .SoB Name]. (HY000)
Gl Balances : D1
Code Commbination: F1
Gl Sets Of Books : F2
I have checked the joins in physical and BMM layer..all are fine..

Joining two fact tables with different dimensions into single logical table

Hi Gurus,
I try to accomplish in Oracle Business Intelligence 11.1.1.3.0:
F1 (D1, D2 and D3)
F2 (D1 and D2 and D4)
And we want to build a report F1 F2 D1 D2 D3 D4 to have data for:
F1 that match only for D1-D2-D3
and data for
F2 that match only D1-D2-D4
all that in one row, so D3 and D4 are not common dimensions.
I can only do:
F3 (D1, D2)
F4 (D1, D2 and D4)
And report
F3 F4 D1,D2,D4 (all that in one row, and only D4 is not a common dimension)
Here is the very good example how to accomplish the scenario 1
http://108obiee.blogspot.com/2009/08/joining-two-fact-tables-with-different.html
But looks like it does not work in 11.1.1.3.0
I get
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 43113] Message returned from OBIS. [nQSError: 14025] No fact table exists at the requested level of detail: [,,Clients,,Day,ROI,,,,EW_Names,,,,,,,,,,,,,,,,,]. (HY000)
I am sure I set up everything correctly as advised in the blog but it works with only one not a common dimension
Is it a bug in 11.1.1.3.0 or something?
Thanks,
Kate

Thanks for all your replies.
Actually, I've tried the solutions you guys mentioned. Generally speaking, the result should be displayed. However, my scenario is a little bit tricky.
table Y's figures are not the aggregation of table X for D dimension. Instead, table Y's figures include not only D dimension total, but also others (others do not mean A, B, C dimension). For example, table Y stores all food's figure, while table X stores only drink's figure. D dimension is only about drink's detail. In my scenario, other foods' figure is not provided.
So, even if I set D dimension to all/total for table X, table X's result is still not the same as table Y.
Indeed, table Y does not have a column key to join to D dimension's key. So, if I select D dimension and table Y's measures at the same time in BI Answer, result returns no data. Hence, I can't compare table X and table Y's results with selection of D dimension.
Is there any solution to solve this problem?
Edited by: TomChan on Jun 3, 2009 9:36 AM

Two Fact tables with Different set of Dimension Tables

Here is my scenario:
I got two fact tables: X and Y (actually, they are the same tables, but with different level of data)
and four dimension tables: A, B, C, D
X joins relationship to all dimensions (A, B, C, D).
Y joins relationship to only A, B, C, but no D.
When I select dimension A, B and C together with fact tables X and Y in BI Answer, result is displayed and compared.
However, if I select dimension D together with fact tables X and Y, only data from fact table X is displayed. There is no result displayed for fact table Y. I know that this is because fact table Y does not join to dimension D.
If the above relationship unchanged, how can I display both X and Y's result in BI Answer when dimension D is selected?

Thanks for all your replies.
Actually, I've tried the solutions you guys mentioned. Generally speaking, the result should be displayed. However, my scenario is a little bit tricky.
table Y's figures are not the aggregation of table X for D dimension. Instead, table Y's figures include not only D dimension total, but also others (others do not mean A, B, C dimension). For example, table Y stores all food's figure, while table X stores only drink's figure. D dimension is only about drink's detail. In my scenario, other foods' figure is not provided.
So, even if I set D dimension to all/total for table X, table X's result is still not the same as table Y.
Indeed, table Y does not have a column key to join to D dimension's key. So, if I select D dimension and table Y's measures at the same time in BI Answer, result returns no data. Hence, I can't compare table X and table Y's results with selection of D dimension.
Is there any solution to solve this problem?
Edited by: TomChan on Jun 3, 2009 9:36 AM

Error: None of the fact tables are compatible with the query request

Hi experts,
I have one confirm dimension D1 and other two fact table F1 and F2 (F1 and F2 are connected to D1)
when i create a report from D1 and F1 the report is running fine. But pull the column from F2 also in this report i am getting the following error
None of the fact tables are compatible with the query request Code Combinations
please suggest on the same.
Regards,
S

Hi
i have done the content level setting in each of the table, D1,F1 and F2(LTS), now i am getting the following error..
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 15018] Incorrectly defined logical table source (for fact table Gl Sets Of Books) does not contain mapping for [Code Combinations.Code Combinations.Affiliate, GL Balances.GL Balances.Currency Code, GL Balances.GL Balances.PTD_Balance, Gl Sets Of Books.Gl Sets Of Books .SoB Name]. (HY000)
Gl Balances : D1
Code Commbination: F1
Gl Sets Of Books : F2
I have checked the joins in physical and BMM layer..all are fine..

How to handle Fact tables with different granularity in OBIEE 11g RPD

Hello Everyone,
I have got stuck here and need your help.
I have two fact tables (Say F1 and F2... F1 is containing data at month-level and F2 is containing data at day level) and one Date DIMENSION TABLE. Date_Code is the PK of Date dimension table.I need to use time-series functions also.
Can anyone tell me how to model this requirement in the RPD.
Can we use a single dimension table(Here Date dimension table) with two fact table of different grainularity? What would be the best way to implement this requirement?
Thanks in advance :)

Hi Veeravalli,
Thanks for your reply :)
Let me explain the problem in more detail. I have one Date dimension(Date_Code,Month_Code,Quarter_Code,Half_Year_Code,Year_Code). Here Date_Code is the PK.
In F1---->Date (Using Month_Code key)
F2-------->Date (Using Date_Code Key)
Level based hierarchy is there starting from Year to Date.Each level has PK defined and chronological key selected.
F1 has level set to Month and F2 has level set to Day.
Now if i am using ago() function on measure of F2 (having day level data) then it's working fine but if i am using ago() function on measure of F1...I am getting an error at Presentation service: Date_code must be projected for time-series functions.
So the whole issue is with time-series functions. As per my research...I think for time series the tables in the physical model containing the time dimension cannot join to other data sources, except at the most detailed level but here i am joining with F1(using Month_Code which is not the most detailed level).
So kindly let me know how to achieve this in rpd?

Fact tables with different granularity

We currently have 3 dimensions (Site, Well, Date) and 2 fact tables (GasEngine, GasField), both having granularity of a day.
GasEngine is linked to Site and Date
GasField is linked to Site, Well and Date
We now have a requirement to make the GasEngine fact table have granularity of an hour but keep
GasField at a day.
We therefore must include a new Time dimension, which would only be linked to GasEngine.
Is it ok to have a DW with these two fact tables having different granularity?
And would we therefore require two separate cubes for querying this data?

Hi Rajendra and Visakh16,
Based on your input provided to this thread, I would like to ask a question just to fine-tune my knowledge regarding data modelling. In Darren’s case I guess his date dimension only store dimension records up to day level granularity. Now the requirement
is to make the “GasEngine” fact table to hold data granularity of an hour.
Now based on Rajendra’s input
“Yes, you can have. but why you need new time dimension, I recommend, make GasEngine fact to
hour granularity.”
How Darren could display data for each hour without having a time dimension attached to GasEngine fact table? With the existing date dimension he ONLY can display the aggregated data with the minimum granularity of day level.
Now anyone can modify the date dimension to hold time records which will complicate the date dimension totally. Instead why Darren cannot have a separate time dimension which hold ONLY time related data and have a timekey in GasEngine fact table and relate
those tables using the time key? This way isn’t Darren’s data model become more readable and simplified? As we provide another way of slicing and dicing data by using a time dimension I do not think Darren’s cube becomes a complex STAR schema.
I could be totally wrong therefore for the sake of knowledge for Darren and me I am asking the question from both of you.
Best regards…
Chandima Lakmal Fonseka

Fact table with different granularity

I have a fact table , the measure with different granualrity , for example, there are a fact table named project, and in the project , there are some columns measure like project value, Opportunity value, (one opporuntity have many project). so I have to sum the project value and Opportuntity value
by month, how to sum opportuntity value? (I want to sum the value distinct Opportuntity ). anyone have suggetion. thanks in advance.

The purist answer is that you should NEVER have a fact table with multiple levels of granularity - it's asking for trouble. Better solution is to split off a new fact table at the proper level of granularity. Having said that, I've worked with BI Apps before so I understand the pain you're going through. In the long run though we found it better to add new fact tables and track the data at the proper levels. Less confusing (long run) than trying to kludge round data to fit in a square fact table.
Thx,
Scott

None of the fact tables are compatible error

Hi All,
I do see this error (none of the compatible fact table) after setting the content level aggregation on the dimension tables and the fact table. This error i get only when i try to pull the calculated item which is based on a attribute in the fact table. I have an attribute like year in the fact table i need to display like 'CY'||'2013' in a calculated logical column and when i pull this into answers i get this error -
1) joins are ok ; only one fact table and 3 dimension tables
2). content level on the fact table are specified at the detail level and also for the dimensions
any suggestions - thanks for your time

can anyone please provide some suggestions -
> i looked at the fact table LTS and specified the logical level for each dimension as the detail
> specified the LTS for each dimension table
> I have a column in my fact table which is calendar year and i want to have a derived column like rep_cal_year with 'CY'||cal_year - so when i pull this derived column in my answers i get the error - none of the fact tables are compatibile with the query;
what could be missign?

"None of the fact tables are compatible with the query request " error

I've got a situation where I have two facts(Fact_1, Fact_2) and three dimensions(dim_1,dim_2,dim_3) in 1 subject area. I've got dimension hierarchies setup for all the dimension tables.
Dim_1 is one to many to Fact_1
Dim_2 is one to many to Fact_2
Dim_3 is one to many to both Fact_1 and Fact_2
I've set up the content levels for the LTS for the Facts so that they are the lowest grain for dimensions they join to and the grand total grain for dimensions they do not join to.
My rpd is consistent. When I run a report using an attribute from Dim_3 and Dim_1 or Dim_3 and Dim_2, the report comes back fine.
But if I try to run a report using all three Dim tables, I get an error and the message "None of the fact tables are compatible with the query request ".
First of all, is it possible to make a report using all three dimensions?
Second, what's the best way to trouble shoot this error? Why are none of the fact tables compatible? I thought as long as the aggregation levels were set to grand total for non-shared dimensions, Answers would be able to create the report properly.
Any advise would be greatly appreciated.
Thanks!
-Joe

OBIEE is looking for a fact that can link ALL the dimensions together. This is also known as the implicit fact ... you don't have a fact that can relate all the dimensions - you have 2 facts that together they can. Perhaps you need to great a single logical fact that has both LTS for your physical facts and try it that way.
Then you'd have Dim1, Dim 2, Dim3 all being able to join to Fact1 (which is made of physical facts 1 & 2).

How to change the fact table in backend query

Hi
I have a criteria where f1 is the fact table comming in backend query, how can I change/modify so that if i select same criterian it should come different fact table f2.
Please suggest.

Hi Hussain,
I have a measure 'po amount' which is comming from two fact tables cost_f and line_f from physical layer. I have a implict fact column in presentation layer on a column(internal-row count) from cost_f table.
Now, when I take only 'po amount ' in criteria, in the backend query it should have cost_f table, but i am seeing line_f table.
The reason I am checking in this direction is.
I have criteria with 4 columns and measure column 'po amount' and run the result it is fecting from line_f table.
The same 4 columns and measure column 'po amount' and one new column 'cost center' is added to the critera the fact table changes to cost_f table.
In both the cases the result should result from cost_f table, not sure why line_f is comming in backend query.
Please suggest.

Mapping the Fact table to different levels of a dimension

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