Best way to connect two fact tables when no conformed dimension exists

Can anyone please elaborate how would I connect two fact table without any conformed dimension. Let say FACTA, FACTB. FACTB is related to a dimension "StatusDim". I want to select the count of all FACTA item which are related to FACTB items with
a particular status. I have found the following article but just wondering whether it is the best practise to connect two fact tables directly.
http://bifuture.blogspot.com/2011/11/ssas-selecting-facts-with-reference.html
Thank you

Hi Ahsan,
After read the blog you posted, I think it's a pretty good solution to create a view in the relational database or a named query in the Data Source View containing as the the columns in FACTA and FACTB. Then build a dimension from it, setting the "Null processing"
property (you have to click the "plus" two times for the "Key Columns" property of the attribute in BIDS to access this property) to "UnknownMember". And then use this dimension for the many-to-many relationship. Dimensions from FactA can benefit of the reference
relationship between FactA and FactB and therefore a powerful solution it is.
Regards,
Charlie Liao
If you have any feedback on our support, please click
here.
Charlie Liao
TechNet Community Support

Similar Messages

  • Problem: two fact tables and one conformed dimension

    Hi everyone!
    I need to solve this situation:
    I have two fact tables, let's say F1 and F2, that are both linked to D1, my conformed dimension
    I just need to select fields from D1 but I know that, when querying, OBIEE links it to a fact table anyway..how does it choose the fact table? That is, if I only want fields from D1, does the system queries also from F1 or F2? Is it a random choice?
    Is there a way to "force" this choice, telling the system for example to choose only from F1?
    Is there a workaround to solve this situation? Remember, I only need fields from D1.
    Thanks!!

    The solution of your problem is "Implict Fact Column"
    Go to presentation layer and double click on your subject area. then you will see Implict fact column option. click on set. give corresponding fact column there( in your case give F1 fact column)
    references: http://oracle-bi.siebelunleashed.com/articles/implicit-fact-column/
    Thanks
    GSR
    Edited by: GSR on Mar 20, 2012 3:22 PM

  • 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 :
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    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

  • Unable to join two fact tables via one common dimension in RPD(Repository)

    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.
    I created one report in OBI Answers using these three tables.It Showed me the following error.
    **Error Details**
    **Error Codes: OPR4ONWY:U9IM8TAC:OI2DL65P**
    **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 dfghdfh) does not contain mapping for [Dashboard_Fact.Period_Sgt_Key]. (HY000)**
    **SQL Issued: SELECT dfghdfh.Period_Sgt_Key saw_0, "Period Dim".Period_Sgt_Key saw_1, Dashboard_Fact.Period_Sgt_Key saw_2 FROM service_delivery ORDER BY saw_0, saw_1, saw_2**
    How to cope up with the issue or can anyone tell me the alternate workaround for this?

    That is what i have tried.
    I have made a logical table TEST and dragged two fact tables f1 & f2 in source.
    Now when i drag different columns from different fact tables(that are in TEST logical table) in report, it gives an error and not making any joins that you are mentioning.
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    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 Test) does not contain mapping for [Test.SurveyName_Id, Test.SurveyHead_Id, Test.Respondent_Id, Test.SDBusiness_Area_Id, Test.Period_Sgt_Key, Test.OBS_Id, Test.VOCBusiness_Area_Id, Test.Question_Sgt_Key]. (HY000)
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  • Modelling 2 Fact Tables with Non-Conforming Dimension in OBIEE 11g

    Hi all,
    I have two fact tables (Fact 1 and Fact 2) and two dimension tables (Product and Rule). The Product dimension table is a conforming dimension and is used in both fact tables, but the Rule dimension is a non-conforming dimension which is used only one fact table. I'm using OBIEE 11g (11.1.1.6.0).
    ====
    Fact 1
    ====
    Sales ID | Product ID | Quantity | Sales Description | Sales Status
    S001 | P001 | 100 | bla bla bla bla bla | N
    S001 | P002 | 200 | bla bla bla bla bla | N
    S002 | P001 | 200 | lab lab lab lab lab | Y
    S002 | P003 | 250 | lab lab lab lab lab | Y
    Notes for Fact 1:
    - One Sales ID can have multiple Product IDs
    - Sales Description and Sales Status are the same for one Sales ID (repeating Sales Description and Sales Status for the same Sales ID)
    ====
    Fact 2
    ====
    Sales ID | Product ID | Rule ID | Score
    S001 | P001 | R001 | 2
    S001 | P001 | R002 | 3
    S001 | P002 | R003 | 1
    S002 | P001 | R003 | 1
    S002 | P003 | R002 | 2
    S002 | P003 | R004 | 5
    Notes for Fact 2:
    - One combination of Sales ID and Product ID can have multiple Rule ID
    I'm wondering how best to model these tables so that I can create this report (number of the dimension and fact tables created in the business model, level mapping, aggregation rule, etc)? Any suggestion/advice on how to achieve this?
    Sales ID | Product ID | Quantity | Sales Description | Sales Status | Rule ID | Score
    S001 | P001 | 100 | bla bla bla bla bla | N | R001 | 2
    S001 | P001 | 100 | bla bla bla bla bla | N | R002 | 3
    S001 | P002 | 200 | bla bla bla bla bla | N | R003 | 1
    S002 | P001 | 200 | lab lab lab lab lab | Y | R003 | 1
    S002 | P003 | 250 | lab lab lab lab lab | Y | R002 | 2
    S002 | P003 | 250 | lab lab lab lab lab | Y | R004 | 5
    Thank you very much!

    Hi Dhar, thanks for the suggestions.
    I tested what you suggested, but the result is not as per my expectation mentioned above. Here's what I did:
    1. In physical layer:
    - I joined Fact 1 table with Product dimension table only
    - I joined Fact 2 table with Product and Rule dimension tables
    2. In business model layer:
    - I created 3 logical tables: Fact, Product, and Rule
    - The Product table contains the Product ID and Product Name from the Product dimension table in the physical layer
    - I created the hierarchy (logical dimension) for Product with only ProductTotal level (as the grand total level) and ProductDetail level that contains Product ID and Product Name
    - The Rule table contains the Rule ID and Rule Name from the Rule dimension table in the physical layer
    - I created the hierarchy (logical dimension) for Rule with only RuleTotal level (as the grand total level) and RuleDetail level that contains Rule ID and Rule Name
    - The Fact table contains 2 logical tables sources: Fact 1 (which logical level in the Content tab is mapped to ProductDetail and RuleTotal) and Fact 2 (which logical level in the Content tab is mapped to ProductDetail and RuleDetail)
    - The Fact table contains Sales ID logical column (mapped to both Fact 1 and Fact 2 logical table sources)
    - The Fact table also contains Sales Description and Sales Status logical columns (mapped to only Fact 1), which aggregation rule is the default to None
    - The Fact table also contains Quantity logical column (mapped to only Fact 1), which aggregation rule is set to Sum
    - The Fact table also contains Score logical column (mapped to only Fact 2), which aggregation rule is set to Sum
    OBIEE returns the expected result when I retrieve the report:
    Sales ID | Product ID | Quantity | Sales Description | Sales Status
    However, OBIEE returns an error when I retrieve the reports:
    Sales ID | Product ID | Quantity | Sales Description | Sales Status | Rule ID
    or
    Sales ID | Product ID | Quantity | Sales Description | Sales Status | Rule ID | Score
    The error is:
    Error Codes: OPR4ONWY:U9IM8TAC:OI2DL65P
    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 FACT.SALES_STATUS. (HY000)
    And the Score column is blank when I retrieved this report:
    Sales ID | Product ID | Quantity | Sales Description | Sales Status | Score
    Any suggestion anyone? Please help. Thanks a lot!
    Edited by: stewartlife on Nov 29, 2012 4:01 PM

  • Best way to combine multiple fact tables in single mart

    Hi, quick question that I think I know the answer to, just wanted to bounce it off everyone here to make sure I'm on the right track.
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    For the "status over time" type facts, if I choose January 2009 (month level) in the time dimension, what I'd really like to see is the fact records that were in place "as of" the last day of the month - i.e. all records where the start date is on or before 1/1/2009, and whose end date is on or after 1/1/2009. Note that my time dimension does go down to the day level (so you could look at a person "as of" the middle of the month, etc. if you're browsing on a day-by-day basis)
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    However, I'm not quite sure how to proceed at the month level. My initial thought is:
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    Is this the proper way to do this?
    Thanks in advance!
    Scott

    Hi Scott,
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    DAILY_FACT_KEY NUMBER, -- PRIMARY KEY
    START_DATE_KEY NUMBER, -- FOREIGN KEY TO DATE DIMENSION FOR START DATE
    END_DATE_KEY NUMBER, -- FOREIGN KEY TO DATE DIMENSION FOR END DATE
    DAILY_VALUE NUMBER); -- FACT MEASURE
    MONTHLY_FACT(
    MONTHLY_FACT_KEY NUMBER, -- PRIMARY KEY
    MONTH_DATE_KEY NUMBER, -- FOREIGN KEY TO DATE DIMENSION, POPULATED WITH THE KEY TO THE LAST DAY OF THE MONTH
    MONTHLY_VALUE NUMBER); -- FACT MEASURE at MONTH LEVEL. DATE_KEY is at END of MONTH
    DIM_DATE(
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    DATE_VALUE DATE,
    DATE_MONTH VARCHAR2(20),
    DATE_YEAR NUMBER(4));
    DIM_DATE_END (ALIAS OF DIM_DATE for END_DATE_KEY join)
    Step 1)
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    b. DAILY_FACT.END_DATE_KEY = DIM_DATE_END.DATE_KEY
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    Step 2)
    Create a business model and drag DIM_DATE, DAILY_FACT and DIM_DATE_END into it.
    Step 3)
    Drag the physical table MONTHLY_FACT into the logical table source of the logical table DAILY_FACT.
    Step 4)
    Set DAILY_VALUE and MONTHLY_VALUE to be aggregates with a "SUM" aggregation function
    Step 5)
    Drag all required reporting columns to the Presentation layer.
    Step 6)
    Create your report using the two different measures from the different fact tables.
    Step 7)
    Filter the report by the Month that joined to the Start Date/Monthly Date (not the one that joined to the end date).
    Step 8)
    You're done.
    The act of combining the two facts into one logical table allows you to report on them at the same time. The strategy of joining the START_DATE_KEY and the MONTH_DATE_KEY allows you to make sure that the daily measure start date will be in the same month as the monthly fact table.
    Hope that helps!
    -Joe
    Edited by: Joe Bertram on Jan 5, 2010 6:29 PM

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    Hi:
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    Answers
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    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
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    sum(T43161.mk_1) as c2,
    sum(T43161.qty_1) as c3,
    T7120.VE_NAME as c4
    from
    VE04_TBL T7120,
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    ) 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/
    thanks,
    karthick

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