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.

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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.

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..?

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

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

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.

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. 
 
Similarly create views from customer table, item tables etc and then create a star schema surrounding the fact view with all these dimension views. 
 
-Nilesh 
Dashboard Development

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.

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 ?
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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

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

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!

Conformed dimension and query multiple fact tables

Hello,
Please if someone can guide me on this requirement.
Requirement - I have a conformed dimension D1 and two fact tables F1 and F2. Both fact tables have many columns so I cannot merge
the two fact tables into one logical table. Currently both these fact tables have logical tables F1 and F2 respectively.
As per design the conformed dimension is a simple logical table in the rpd and not a dimension.
Can someone guide me how should i proceed so that i'll be able to fetch information from both the fact tables?
Edited by: 930542 on Apr 26, 2012 12:28 PM

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.

Multiple fact tables, aggregation and model problems

Hi,
I am developing a OLAP Application with 2 dimensions (product,location) and a few measures (sales_qty, sales_value, sale_price, cost_price, promotion_price, average_market_price, etc). I also have a BiBean Crosstab to explore the data.
I'm having the following problems:
- The measures are in different fact tables.
When using cwm2_olap_table_map.Map_FactTbl_Measure, I can only map the measures from the first fact table, the others return "Exact fetch returns more than the request number of rows".
- The 'price_' measures shouldn't aggregate to higher levels of the dimension hierarchies. I have changed the default aggregation plan, but in the crosstab data is still shown in the higher levels. Is there any way to show N/A in levels that I don't want to aggregate?
- How can I add a calculated field that is the result of a complex set of business rules (with IF/THEN/ELSE statements and calls to existing oracle functions) and precalculate it during batch?
Thanks,
Ricardo

Keith, thanks for the quick answer!
Some questions regarding your comments:
1) The measures are in different fact tables
- My application will show all the measures in the same report. My question is, will performance be affected by creating separate cubes or creating one cube? I believe that if I don't use an AW, it shouldn't, but I will have an AW. Performance is the main reason why I'm using Oracle OLAP. I need fast access to measures in different fact tables in one report. Those measures will be used in complex calculated fields, and probably in 'what if' analysis.
2) When using cwm2_olap_table_map.Map_FactTbl_Measure, I can only map the measures from the first fact table, the others return "Exact fetch returns more than the request number of rows".
Here is the complete script I am using to create the cube:
execute cwm2_olap_cube.Create_Cube('OLAP','CUBE_REL_3','CUBE_REL_3','MY_CUBE','MY_CUBE');
execute cwm2_olap_cube.add_dimension_to_cube('OLAP', 'CUBE_REL_3','OLAP', 'DIM_STORE');
execute cwm2_olap_cube.add_dimension_to_cube('OLAP', 'CUBE_REL_3','OLAP', 'DIM_ITEM');
-- MEASURES - FACT TABLE 1 (F_SALES)
execute cwm2_olap_measure.create_measure('OLAP', 'CUBE_REL_3','SALES_MARGIN', 'Sales Margin','Sales Margin', 'Sales Margin');
execute cwm2_olap_measure.create_measure('OLAP', 'CUBE_REL_3','SALES_QTY','Sales Quantity','Sales Quantity','Sales Quantity');
execute cwm2_olap_measure.create_measure('OLAP', 'CUBE_REL_3','SALES_VALUE', 'Sales Value','Sales Value', 'Sales Value');
-- MEASURES - FACT TABLE 2 (F_PVP_MIN_MAX)
execute cwm2_olap_measure.create_measure('OLAP', 'CUBE_REL_3','PVP_MIN','pvp min','pvp min','pvp min');
execute cwm2_olap_measure.create_measure('OLAP', 'CUBE_REL_3','PVP_MAX', 'pvp max','pvp max', 'pvp max');
-- FACT TABLE 1 MAPPINGS
execute cwm2_olap_table_map.Map_FactTbl_LevelKey('OLAP','CUBE_REL_3','OLAP','f_sales','LOWESTLEVEL','DIM:OLAP.DIM_STORE/HIER:STORE/LVL:L0/COL:COD_STORE;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER1/LVL:L0/COL:COD_ITEM;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER2/LVL:L0/COL:COD_ITEM;');
execute cwm2_olap_table_map.Map_FactTbl_Measure('OLAP', 'CUBE_REL_3','SALES_MARGIN','OLAP','f_sales','SALES_MARGIN', 'DIM:OLAP.DIM_STORE/HIER:STORE/LVL:L0/COL:COD_STORE;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER1/LVL:L0/COL:COD_ITEM;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER2/LVL:L0/COL:COD_ITEM;');
execute cwm2_olap_table_map.Map_FactTbl_Measure('OLAP', 'CUBE_REL_3','SALES_QTY', 'OLAP', 'f_sales', 'SALES_QTY','DIM:OLAP.DIM_STORE/HIER:STORE/LVL:L0/COL:COD_STORE;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER1/LVL:L0/COL:COD_ITEM;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER2/LVL:L0/COL:COD_ITEM;');
execute cwm2_olap_table_map.Map_FactTbl_Measure('OLAP', 'CUBE_REL_3','SALES_VALUE', 'OLAP', 'f_sales', 'SALES_VALUE','DIM:OLAP.DIM_STORE/HIER:STORE/LVL:L0/COL:COD_STORE;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER1/LVL:L0/COL:COD_ITEM;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER2/LVL:L0/COL:COD_ITEM;');
-- FACT TABLE 2 MAPPINGS
execute cwm2_olap_table_map.Map_FactTbl_LevelKey('OLAP','CUBE_REL_3','OLAP','f_pvp_min_max','LOWESTLEVEL','DIM:OLAP.DIM_STORE/HIER:STORE_HIER1/LVL:L1/COL:COD_STORE;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER1/LVL:L4/COL:COD_ITEM;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER2/LVL:L4/COL:COD_ITEM;');
execute cwm2_olap_table_map.Map_FactTbl_Measure('OLAP', 'CUBE_REL_3','PVP_MIN','OLAP','f_pvp_min_max','PVP_MIN', 'DIM:OLAP.DIM_STORE/HIER:STORE_HIER1/LVL:L1/COL:COD_STORE;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER1/LVL:L4/COL:COD_ITEM;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER2/LVL:L4/COL:COD_ITEM;');
execute cwm2_olap_table_map.Map_FactTbl_Measure('OLAP', 'CUBE_REL_3','PVP_MAX', 'OLAP', 'f_pvp_min_max', 'PVP_MAX','DIM:OLAP.DIM_STORE/HIER:STORE_HIER1/LVL:L1/COL:COD_STORE;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER1/LVL:L4/COL:COD_ITEM;DIM:OLAP.DIM_ITEM/HIER:ITEM_HIER2/LVL:L4/COL:COD_ITEM;');
-- CUBE VALIDATE
execute CWM2_OLAP_VALIDATE.Validate_Cube('OLAP','CUBE_REL_3');
The error is in the cwm2_olap_table_map.Map_FactTbl_Measure command for the first measure of the second fact table. Am I doing something wrong?
Regarding issues 3) and 4), I will follow your sugestions. I'll get back to you on this later.
Once again, thanks for the help, it is being most helpful.
Ricardo Sá

Multiple Fact Tables and Dimension Tables

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