Multiple Fact Tables or Circular Joins?

I'm using OE schema to build an rpd, I'm importing foreign keys and I'm unable to decide which tables to be joined additional to the imported foreign key joins. If I'm not making any new joins I'm getting multiple fact tables and if I do make some joins I'm getting circular joins, some one please throw some light on this.

It is not a good idea to bring the OE schema tables as it is. The ideal approach would be to create a view that would represent the Fact table. For e.g this view could comprise of OE headers and OE line information and the reference id to the other dimensions.<br>
<br>
Similarly create views from customer table, item tables etc and then create a star schema surrounding the fact view with all these dimension views.<br>
<br>
-Nilesh<br>
Dashboard Development

Similar Messages

  • Join multiple fact tables and dimensions and use all tables in report issue

    Hi,
    I have a report requirements and need to use multiple fact tables and unconformed dimensions as described below
    Fact table: F1,F2,F3
    Dimensions tables: D1.....D9
    F1:(joined to) D1,D2,D3,D4
    F2::(joined to)D1,D2,D5,D6
    F3::(joined to)D1,D2,D7,D8
    D7::(joined to)D9,D8 (dimension D7 joined to two other dimensions D9 and D8
    I'm trying to use columns from almost all the fact and dimension tables but getting "Unable to navigate requested expression. Please fix the metadata consistency warnings."
    Repository is consistent and no errors and warnings.
    How can I configure the repository to develop reports using all fact tables and dimensions?
    Appreciate for your help.
    Thanks
    Jay.
    Edited by: Jay on Feb 9, 2012 4:14 PM

    So you want me to convert snowflake schema to star. does it solve my problem? individual star queries are working find but when I query multiple stars together getting inconsistency errors. I removed content tables dim level totals for unconformed dimensions in logical fact LTS and set level for measures at total level for unconformed dimensions. it is still in progress and need to test.
    Thanks
    Jay.

  • Joins with multiple fact tables

    Hi Experts,
    i have one doubt in joins
    we have two dimensions D1 and D2,
    D1 is having A1 and A2 columns
    D2 is having B1 and B2 columns
    two facts F1 and F2 these are joined like D1 to F1 D1 to F2 and D2 to F1, D2 to F2
    D1----->F1
    D1------>F2
    D2-------->F1
    D2-------->F2
    if i selected A1 and B1 in a request from which FACT table will get the data and why can you please explain
    please help me
    reg,
    Jell

    Hi All,
    I have a similar requirement where I have 4 multiple fact tables and we can't combine all those facts into one single fact table. In that case how can a query work with multiple common and uncommon dimensions and measures from multiple fact tables, if it doesn't work that way - can you please explain how can we expect a query to work with multiple fact tables.
    For eg: D1– Dim
    D2 – Dim
    D3 – Dim
    D4 – Dim
    F1 –Fact
    F2 – Fact
    F3 – Fact
    D1 -> F1
    D2 -> F1,F2
    D3 -> F2
    D4 -> F1, F3
    In this case if we want to query from D1,D2,D3, F1, F2 or D1,D2,D3,D4,F1,F2,F3. Kindly please explain how it can be modeled in BMM or what are the limitations. I have done with two fact tables in past and didn't had issues but this is kind of a vast implementation. Your help is appreciated.

  • How can build BMM with multiple fact tables

    HI Gurus,
    I have 4 fact tables and 18 Dimension table. Dimension tables have links with multiple fact tables. i have created physical joins in Physical layer. Now my questions is how can i create Business Model with multiple fact tables.
    i mean should i create 4 fact tables as logical tables and logical keys ? Then i have to move all dimension tables in to Business model?
    i am new to OBIEE. i gone through tutorial it is showing with one fact and multi dimension table. Should i do follow same style with multi fact tables.
    Please help me. Thanks in advance for your support.

    Thanks for your response.
    I had drag all tables from the phisical layer to Business Model. then i have deleted all links and recreated complex joins with default values.
    now i have some revenue amont columns in fact tables.
    my question is should i should i create aggregation ( like Sum..) for those columns? is it must ?
    please let me know thank you very much

  • BMM issue for multiple fact tables

    Hi All,
    I have three facts F1,F2, F2 and two confirmed dimension D1,D2 in my sample rpd.
    In BBM layer , I tried to do the modeling as follows instead of creating one logical fact table. There are many fact tables to come
    in future.
    F1<----D1--->F2<----D2--->F3
    When I deploy this sample rpd and run the report from F1 andF2, I get an error No fact Table exists at requested level of detail.
    I have not created any hierarchical dimension to set up the content in the fact table.
    I am very much thanksful for any advices.
    Thanks,
    Vishal

    Hi,
    Please refer the below link.
    http://satyaobieesolutions.blogspot.in/2012/07/implementing-multiple-fact-tables-in.html
    My suggestion would be bring both the facts to the same logical table sources and have a single fact table in the BMM layer joined with multiple dimensions.
    Build a dimension hierarchy for the dimensions and then in the content logical layer mapping, map the dimensions to the fact tables with detailed level/Total
    Refer the below link-
    http://108obiee.blogspot.com/2009/08/joining-two-fact-tables-with-different.html
    Hope this help's
    Thanks,
    Satya
    Edited by: Satya Ranki Reddy on Jul 26, 2012 7:34 AM

  • Multiple fact tables in Essbase studio schema

    Hi all,
    Can we pull data from multiple fact tables in the single schema using essbase studio ? Also is it advisable ?
    Please advice.
    Thanks
    Andy

    Hi Glenn,
    Thanks for the prompt reply.
    Do you mean direct joins between fact tables ? or we can have indirect joins through Dimension tables ?
    Thanks,
    Andy

  • Multiple fact tables and dimensions

    I have two fact tables actual sales and planned sales and 8 dimension tables, using a star schema. I want to query on the two fact tables with two dimensions, product and time. When I create the report in discoverer i bring in the sales from actuals and then the product_desc and month_desc. Then I bring in the measure from the second fact table and a join window pops up asking which join to use. If I choose the join to the time dimension then I get no data for the second fact table and correct data for the first fact table. If I choose the product dimension then I get correct data for the first fact table and grossly incorrect data for the second fact table.
    How can I stop this from happening?
    Nick

    Nick,
    I hope you solved your reporting issue and can share the solution with me. I am encountering the same problem. I have used Oracle Warehouse Builder 10Gr2 to design and deploy a pretty simple ROLAP data mart. We are using Discoverer Plus for OLAP as our reporting tool. We have 5 dimension tables using a star schema and have 3 fact tables, when I create the worksheet I bring in our sales measure from our sales item table and then Store_Name from my Stores Dimension and then week-ending from my time dimension, everything looks good at the stage. Then I bring in a measure from our advertising cost table and a join window pops up asking which join to use, if I choose either the Store or the Time dimension I get correct data for the first fact table (sales) and grossly incorrect data for the ad cost from the second fact table (advertsing costs)...... any help would be appreciated
    monalisa

  • Multiple fact tables using one measure

    Hi Experts,
    Multiple fact tables using single measure .For example Measure name is amount . This measure is using 5 fact tables. By using this info , i have to create bmm layer document . In bmm layer documents columns are like logical table name ,column name, logical sourc name . could you please help me out to draft the document ?

    Hi ,
    My question is five fact tables are there, day level two different fact tables , period and week fact tables are there .
    Above all tables are using single measure . how to design these fact tables with measure in bmm layer ?
    Please kindly give reply .
    Thanks in advance.

  • Can a measure map to multiple fact tables

    Hi Experts,
    Can A Measure in an Universe map to multiple fact tables? For example, we have sales detail table by day and store and product, and have sales summary table by day and region and (product) department. We like to create a measure to map to both detail table and summary table. When I run query includes store and product,  the query will automatically use the sales detail table; and query can automatically choose the summary table when it only includes region and department. Our database table could be in  Teradata and Oracle. Can we achieve it and how? If a measure can't achieve this (dimension awareness), what the other option we can have and how to do it?
    Thank you,
    Richard

    Hi Sion,
    After I make the tables incompatible with the dimension objects on different levels, the measure can point to the right table if my query only include Store and Product or only include Region and Department. But in some scenario, the business could ask to include both Store and Region or Item and Department in same query. The current approach doesn't work on this further request. In our database, we have store table including Region with other higher level organization information, Product table including Department with other higher level product information, and we also have separated Region table and Department table. Could we make the objects more flexible u2013 query will be against aggregation sales table if dimension objects in query are only on higher level and will against detail sales table if some of dimension objects are on high level and some on low level? 
    Many thanks,
    Richard

  • Get the master table value based on multiple fact tables

    I have an master table which has to filter data based on multiple fact tables
    In the below sample, i need to get the list of MasterTable SId in an single query for fetching data from all the fact tables with an criteria.
    Can u let me know the single query to handle the below situation
    Select count(1) from dbo.DimMaster where sid in
    (Select Master_sid from dbo.factsales where SalesDate < '20141231')
    Select count(1) from dbo.DimMaster where sid in
    (Select Master_sid from dbo.factPurchase where PurchaseDate < '20141231')
    Select count(1) from dbo.DimMaster where sid in
    (Select Master_sid from dbo.factSalary where SalaryDate < '20141231')
    Select count(1) from dbo.DimMaster where sid in
    (Select Master_sid from dbo.factMarket where MarketDate < '20141231')
    ShanmugaRaj

    Please try below:
    SELECT
    (SELECT count(1)
    FROM dbo.DimMaster
    WHERE sid IN (
    SELECT Master_sid
    FROM dbo.factsales
    WHERE SalesDate < '20141231'
    )) as C1,
    (SELECT count(1)
    FROM dbo.DimMaster
    WHERE sid IN (
    SELECT Master_sid
    FROM dbo.factPurchase
    WHERE PurchaseDate < '20141231'
    )) as C2,
    (SELECT count(1)
    FROM dbo.DimMaster
    WHERE sid IN (
    SELECT Master_sid
    FROM dbo.factSalary
    WHERE SalaryDate < '20141231'
    )) as C3 ,
    (SELECT count(1)
    FROM dbo.DimMaster
    WHERE sid IN (
    SELECT Master_sid
    FROM dbo.factMarket
    WHERE MarketDate < '20141231'
    )) as C4
    -Vaibhav Chaudhari

  • Merging Multiple fact tables and creating a BIA target

    Hi Folks
    We are  using Dataservices with BIA.
    We want to merge mutliple fact table and create a sinvglc cube on BIA.
    when we tried to do that we get a error message that we cannot merge multiple fact tables.
    any pointers ?
    Poonam

    You could have the cubes individually on the BIA and then have a multiprovider which you can use..?
    or create separate universes on the cubes and then merge the universes in BO and then you could hit the BIA for the same..?

  • Multiple Fact Tables and Dimension Tables

    I have been having some problems trying to model the data from Oracle E-Business Suite maintenance. I will try to give the best description of how the data is held in the tables. The structure is such that a work order can have multiple operations and an operation can have multiple resources as well. I believe the problem comes in the fact that an operation doesn't necessarily need to have a resource. I could not attach an image so I have written out an example below. I am not saying this is right or that it works, but just to give you an idea of what I am thinking. The full dimension would be Organization -> WorkOrder -> Operation -> Resource. Now, the fact tables all hold factual data for the three different levels, with the facts being at each corresponding level. This causes an obvious problem in combining the tables into one large fact table through the ETL process.
    Can anyone tell me if they think this can be done? Am I way off? I am sure that there is a solution as there always is but I have been killing myself trying to figure this one out. I currently have the entire solution in different Business Models. I would like however to be able to compare facts from multiple areas such as the Work Order level and the Resource level.
    Any help is greatly appreciated. I realize that the solution may also require additional work on the ETL side so I am open to any and all suggestions.
    Thank you in advance for anyones time. :)
    Dimension Tables
    WorkOrder_D
    Operation_D
    Resource_D
    Organization_D
    Fact Tables
    WorkOrder_F
    Operation_F
    Resource_F
    Joins
    WorkOrder_D -> Operation_D
    Operation_D -> Resource_D
    WorkOrder_D -> WorkOrder_F
    Operation_D -> Operation_F
    Resource_D -> Resource_F
    Organization_D -> WorkOrder_D
    Organization_D -> Operation_D
    Organization_D -> Resource_D

    Hi,
    Currently the dimension table is taken as a simple logical table in rpd as it does not have have any levels or hierarchy.
    Its a flat dimension. Can you guide me how can I implement a flat dimension in OBIEE? Because this dimension is taken as simple logical table
    I am not able to set appropriate level for fac tables. This dimension does not appear in the list of dimensions.

  • How to query on multiple fact tables ?

    Hello all,
    I know this is a recurring subject around here. I have read various topics and tried many thing but I couldn't reach my goal :
    I want to query a BMM with 6 fact tables that all have common dimensions.
    For instance, I have Invoices facts, Stocks facts, and a common SpareParts dimension.I am currently using a prewiew of my target BMM, which contains only these 2 fact tables and this single dimension. They are joined both at physical and logical level.
    I'd like to build a report showing for a given spare part both stock and invoice information, but Answers replies it can't link Stocks with Invoices (even when I use the spare part dimension in the report).
    * I can't afford to put both fact data in a single table as I'm most likely to report on the 4 other fact tables the same way.
    * I can't either alias my dimension table, as I'd like :
    - to avoid having 6 spare part dimensions for my 6 fact table (imagine the user's face in front of that)
    - to have the filter on a spare part filtering on both tables at once (as I talk about the same spare part on both sides)
    Unless you tell me I can create an alias and then say somewhere it's actually the same dimension...
    * A colleague tried to alias the dimension and then build a 1-1 join between the dimension and its alias, but it didn't work.
    * I have tried to build a hierarchy for the spare parts with all the fact data at the lowest level, but it didn't do. I guess hierarchies are not intended to be used that way.
    * I have tried the bridge table to link the two fact tables but i get a circular path. Furthermore, as the fact tables then turn to dimensions, I'm pretty sure my aggregates won't work... I guess bridge tables are not intended to be used that way.
    * I have tried singing, dancing, jumping and bouncing around my desktop but all I got was rain.
    Can anybody catch me before I jump across the window ? I wouldn't like to get wet...
    Many thanks in advance.
    Ced.

    Hi,
    unfortunately, this purpose-built datamart was built within the company RPD. It has been deleted since then. These are the two reasons why I can't post it.
    My advice is to take the time to read the help about how to build logical tables in the Administrator tool.
    Here's a quick walkthrough:
    - create your logical tables and join them in the business model diagram
    - create dimensions (hierarchies) for all your dimension tables with at least a total level and a detail level. Thins can be done automatically by right-clicking the dimension table and selecting "Create Dimension"
    - in the dimension tables, select the source table (in the source subfolder of the dimension table) and edit its properties : in the properties dialog box, select the content tab and in front of the dimension name, select the lowest (or apropriate) logical level
    - in some complex BM (logical levels), it might also be necessary to apply similar settings to the fact table: This time, when you edit a fact table source, you will see the list of all dimensions available in the contents tab. There, for each dimension your fact table is related to, you will select the apropriate dimension level. if there isn't any join between you fact table and a given dimension, leave the logical level blank.
    I hope this helps.
    Ced.

  • 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.
    I have a HR datamart that contains several different fact tables. Some of the facts are additive across time (i.e. compensation - people get paid on different days, when I look at a month I want to see the total of all pay dates within that month). The other type of fact is more "status over a set of time" - i.e. a record saying that I'm employed in job X with a salary of Y from a given start date to a given end date.
    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)
    I've set up the join between the time dimension and the fact table as a complex join in the physical layer, with a clause like "DIM_DATE.DATE >= FACT.START_DATE AND DIM_DATE.DATE <= FACT.END_DATE". This seems to work perfectly at the day level - I have no problems at all finding the proper records for a person as of any given day.
    However, I'm not quite sure how to proceed at the month level. My initial thought is:
    a) create a new LTS for the fact table at the month level
    b) in the new LTS, add the join to the time dimension
    c) in the new LTS, add a where clause similar to LAST_DAY_IND = 'Y' (true for the last day of each month).
    Is this the proper way to do this?
    Thanks in advance!
    Scott

    Hi Scott,
    I think you're on the right track but I don't think you need the last part. Let me generalize the situation to the following tables
    DAILY_FACT (
    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(
    DATE_KEY NUMBER,
    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)
    Make the following three joins in the physical layer:
    a. DAILY_FACT.START_DATE_KEY = DIM_DATE.DATE_KEY
    b. DAILY_FACT.END_DATE_KEY = DIM_DATE_END.DATE_KEY
    C. MONTHLY_FACT.DATE_KEY = DIM_DATE.DATE_KEY
    Note: The MONTHLY_FACT DATE_KEY is joined to the same instance of the date dimension as the START_DATE_KEY of the DAILY_FACT table. This is because these are the dates you want to make sure are in the same month.
    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

  • How to combine multiple fact tables and dimensions in one worksheet?

    Hello Forum,
    I am encountering a reporting problem when trying to create a worksheet that uses more than one cube/fact table and common dimensions. I have used Oracle Warehouse Builder 10Gr2 to design and deploy a pretty simple ROLAP data mart. We are using Discoverer Plus for OLAP as our reporting tool. We have 5 dimension tables using a star schema and 3 fact tables, when I create the worksheet I bring in our sales measure from our sales item table and then Store_Name from my Stores Dimension and then day from my time dimension, everything looks good at the stage, we're just trying to get a sum of all sales for that store on that day. Then I bring in a measure from our advertising cost table and a join window pops up asking which join to use, if I choose either the Store or the Time dimension I get correct data for the first fact table (sales) and grossly incorrect data for the ad cost measure from the second fact table (advertsing costs)...... any help would be appreciated

    You have encountered one of the key limitations of Discoverer... which I complained about to the Discoverer product manager at OpenWorld in 2001....
    Anyhow, to get around this, you are going to have to deal with it either in the database, (views, materialized views, tables), or within the admin tool by creating a custom folder.
    Discoverer also calls this the "fan trap", but never really had a solution to the problem. [The solution only worked is you joined to one and only one dimension!]
    What you want (using Sales_Fact and Inventory_Fact as an example) is to join Sales to Time, Store, and Product, and save that result. Then join Inventory to Time, Store, and Product, save that result, then do a double outer join between the two intermediate temporary tables in order to calculate something useful like inventory turns by store and product line.
    This is also known a "multipass SQL", and is supported by some (but not many) other tools.
    So, to accomplish this with Discoverer, you'll either need to create a view, or table, or materialized view that has already put Sales and Inventory into a single (virtual?) fact table. Alternatively you can write the SQL for how to do this linkage (don't forget to handle missing data), and use the Discoverer admin tool to create a custom folder that uses your SQL.
    Hope this helps!

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