Join fact with another fact like a dimension

Does it work if I join fact table with another fact table as a dimention(created the dummy hierarchy and add the sum() to the measure existed in the table)?
If I pick the measure value in the fact table(which is configured like a dim), I will get the correct number? Or multiplied number?
If there is any good way of work around please let me know
Thanks
Edited by: user12077461 on Jun 29, 2011 7:39 PM

Hi,
You can create an Alias Table in the Physical Layer for the Fact table which you want to use as a Dimension Table. And start using the Dimension Table. And if you want any measure values to be used from the Fact, then you can extract that too.
This should simplify your work too.
Regards
MuRam

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Hello Experts,
I have a fact1 table with 2 dimensions
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Taxonomy Used is - CD stands for Confirmed Dimension && NCD stands for Non Confirmed Dimension.
I have 3 Dimensions (CD1,NCD2,NCD3) and 2 facts (F1 & F2).
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Edited by: user10799880 on Apr 15, 2013 9:37 PM

Hi,
refer to this
http://108obiee.blogspot.com/2009/08/joining-two-fact-tables-with-different.html
mark helps
thanks

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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,
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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.

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Hi All,
I am trying to developer an Answer
I have two Fact tables :- Budgets and Actuals
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However the Budget Fact has an additional dimension Bugdet Name (which can have values like 'Budget','Forecast','Allocation') that does not apply to Actuals
When I try to fliter or include the Budget Name I lose all my actuals
(Incidentally some actuals do not have budgets, some budgets do not have actuals and I want to see all rows)
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Hi,
I try this:
I have in BMM one subject area with two fact and common dimension
SALES -> quantity_sold measure
and
SALES_TIME_ID -> select (amount_sold-100) as amount_sold, time_id from sales
and dimensions
TIMES
PRODUCTS
Both are joined to a SALES and just TIMES is joined to a SALES_TIME_ID in physical layer and in BMM complex join are propagated from facts to dimensions
Test in Answers - both queries are generated:
TIMES.CALENDAR_YEAR
SALES.QUANTITY_SOLD
SALES_TIME_ID.AMOUNT_SOLD
select T20553.CALENDAR_YEAR as c1,
sum(T20550.QUANTITY_SOLD) as c2
from
TIMES T20553,
SALES T20550
where ( T20550.TIME_ID = T20553.TIME_ID )
group by T20553.CALENDAR_YEAR
order by c1
------------------- Sending query to database named orcl (id: <<13806>>):
select T20553.CALENDAR_YEAR as c1,
sum(T35447.amount_sold) as c2
from
TIMES T20553,
(select (amount_sold-100) as amount_sold, time_id from sales) T35447
where ( T20553.TIME_ID = T35447.time_id )
group by T20553.CALENDAR_YEAR
order by c1
PRODUCTS.PROD_CATEGORY
TIMES.CALENDAR_YEAR
SALES.QUANTITY_SOLD
SALES_TIME_ID.AMOUNT_SOLD
select distinct D1.c2 as c1,
D1.c3 as c2,
D1.c1 as c3,
cast(NULL as DOUBLE PRECISION ) as c4
from
(select sum(T20550.QUANTITY_SOLD) as c1,
T20553.CALENDAR_YEAR as c2,
T21473.PROD_CATEGORY as c3
from
TIMES T20553,
PRODUCTS T21473,
SALES T20550
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Filter on a dimension with a fact that don't depend on that dimension

Hi experts,
I have a logical column (fact1) that it is set as total for logical level for one dimension (dim1). (it doesn't depend on that dimension but i have to put it in a report next to that dimension).
If I don't filter the report the result is:
dim1 dim2 fact1
a x 1
a y 2
b z 3
b w 4
If I filter the dim1 on 'a' then the result is:
dim1 dim2 fact1
a x 1
a y 2
null z 3
null w 4
I don't want to see those 2 lines with null...
How can I achive that...
Thank you in advance...
Best regards
Nicolae Ancuta

Thank you for your post:
Here are the details:
Phisical layer:
Stores
Products
Suppliers
Stock joins with products and with stores
Purchase Price joins products, stores and suppliers
Sale price joins products and stores
Avg sale per day joins products and stores
BMM:
Dim Stores table
Dim Products table
Dim Suppliers table
Fact stock table with source Stock inner join Sale price inner join Avg sale per day
Fact stock table joins on logical level with Dim Stores and Dim Products
The source table stock has the following mapping on logical level:
detail on - Dim Stores table
detail on - Dim Products table
total on - Dim Suppliers table
Fact stock table has the following fact columns:
Fact stock column total on Dim Suppliers table
Fact sale price column total on Dim Suppliers table
Fact Avg sale per day column total on Dim Suppliers table
Fact Purchase Price table with source Purchase Price
Fact Purchase Price table joins on logical level with Dim Stores and Dim Products and Dim Suppliers
The source table Purchase Price has the following mapping on logical level:
detail on - Dim Stores table
detail on - Dim Products table
detail on - Dim Suppliers table
Fact Purchase Price table has one fact columns: Fact Purchase Price column
The report on Presentation:
Store | Product name | Supplier name | Fact purchase price column | Fact stock column | Fact sale price column | Fact Avg sale per day column
Store 1 | IBM server | IBM corporation | 1000$ | 10 pcs | 2000$ | 0.5 pcs
Store 1 | IBM laptop | IBM corporation | 500$ | 10 pcs | 1000$ | 0.5 pcs
Store 1 | DELL server | DELL corporation | 1500$ | 5 pcs | 2800$ | 0.2 pcs
Store 1 | DELL laptop | DELL corporation | 700$ | 5 pcs | 1200$ | 0.2 pcs
if I filter Supplier name with IBM corporation my results are:
Store 1 | IBM server | IBM corporation | 1000$ | 10 pcs | 2000$ | 0.5 pcs
Store 1 | IBM laptop | IBM corporation | 500$ | 10 pcs | 1000$ | 0.5 pcs
Store 1 | DELL server | null | null | 5 pcs | 2800$ | 0.2 pcs
Store 1 | DELL laptop | null | null | 5 pcs | 1200$ | 0.2 pcs
Regards
Nicolae Ancuta

Linking 2 facts with common dimensions

Dear all,
Request you help in this.....
I have the following tables as facts and dimensions in the physical layer
Facts: Order, Shipment
Dimensions : Product
1) I have linked each of the facts with the dimension in the physical layer.
2) I brought the model into the BMM layer with the same joins on dimension and facts as in physical layer, but gave a complex join.
now my question is:
1) If I want to have the order and shipment fact data together along with the dimension data , what all the steps I need to follow?
2) I already tried creating hierarchies to the dimension (which is conformed) and set the aggregation level to the lowest in the facts. It didnot work.
Could you please help me in this.
Thanks,
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Yes ..If I do that .. I will get the results...
but the scenario I presented here is only a part of the actual requirement.
Now.... I have 6 dimensions and 8 fact tables....
few concerns...
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the table structure will become huge...
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Hi, this looks a many to many relationship scenario, follow these steps:
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Hello
We have a requirement where we have two facts with different grains
DEPT_FACT - Contains (Dept_Id, Dept_Name, Revenue)
EMP_FACT - Contains (Emp_Id, Dept_Name, Is_Current_Employee)
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DEPT_FACT
========
1 Sales_Dept 100,000
2 Manufacturing_Dept 200,000
EMP_FACT
========
100 Sales_Dept Y
200 Sales_Dept Y
300 Sales_Dept N
400 Manufacturing_Dept N
500 Manufacturing_Dept Y
600 Manufacturing_Dept N
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The above example must show
Sales_Dept => $50,000 (100,000 / 2 current employees)
Sales_Dept => $200,000 (200,000 / 1 current employee)
Any suggestions on how this can be done ?

For me,
DEPT_FACT is not a fact. It's a dimension table because you have a one-to-many relationship and you have a measure in the dimension table (it's an aggregated measure).
And EMP_FACT is also not a fact because you don't have any measure on it.
But if we say that EMP_FACT is a fact. DEPT_FACT is an aggregated table from EMP_FACT.
I will :
* create a logical dimension for the employee with three levels (all, departement and detail)
* create a logical fact table with :
- one logical column for the revenue in the level all departement
- one logical column for the employee
and two physical source :
* DEPT_FACT with the departement level
* EMP_FACT with the level to detail
Success
Nico

How to Link two Facts with Different Time Granularity (Year, Quarter) to a Single Time Dimension

Hello All,
I have the below scenario where i have Two Facts Fact Quarterly and Fact Yearly but one Time Dimension which has Quarter grain.
So my question is how do i Establish relationship from Fact Yearly to Time Dimension??
Ex:

Hi naveej,
According to your description, you want to know how to build the relationship with time dimension and fact tables. Right?
Based on your screenshot, it's better to have only one fact table for sales and build the relationship with time dimension. To determine quarterly or yearly data only depends on how you slice the time dimension. However, I notice that the Revenue for year
is different from the aggregated Profit for quarters. If the Revenue and Profit are different measure, you need to have two fact tables. And you should build the relationship (Regular) between TimeDim and FactYearly on YYYY attribute.
Reference:
Defining a Fact Relationship
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Simon Hou
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OBIEE Group By on 2 facts and concatenated columns from different dimensions

Hi
I have a different kind of problem involving 2 fact tables with different dimensional attributes.
Fact 1 has Dim Attributes ( Cust,Facility )
Measure - Gross Amount
Fact2 has Dim attributes (Cust,Facility and Risk Group )
Measure : Exposure Amount
Since we have 2 facts with different dimensions,
to exclude the 'Risk Group' dimension column from the group by for the Fact1,
we set the 'Gross Amount' measure to total level (Risk Group Dimension ) in contents tab.
So the values from both the fact tables appears in the same report correctly.
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We have to concatenate customer.rating with the facility.rating and display it in the report.
when we just pull the individual columns from the dimensions into the report it works fine.
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The other fact1 has the concatenated column in the select as well as the group by clause ( Generated by OBIEE )
As a result the report shows the concatenated values only for the results from the Fact1. But the results from Fact2 does not have the concatenated column values.
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As suggested you really want to move your none-aggregated fact attributes to a logical dimension (using the same physical table as the logical fact). Map this in the BMM layer as a snowflake, Place a hierarchy on this dimension with (at minimum) Total -> Detail levels, then on the other fact table you want to include in the report, set the content level on your other fact measures to the 'Total' level for your new logical Dim and it will allow them to be present in the same report.

OBIEE Multiple Facts With Level Based Measures

Gurus,
We have a requirement which we think complex to achieve at OBIEE level. Please help if anyone knows a solid solution for this problem.
Orders, Shipments and Revenue are the fact tables and we have common dimensions like customer, product, time and others. For each fact table there is a corresponding dimension to store the non metric columns like Order Number and Shipment Number.
Now the requirement from the customer is
1. Need to see the Order Information completely even though he is looking at Shipment or Revenue data. Ideally, it is not mandatory for each order to have Shipment or Revenue. This is applicable for Shipment too, if the customer is looking at revenue and shipment data he needs see all the shipments including those that doesn't have any revenue.
2. Non Confirming dimensions should not throw errors. This could be possible by using Level based measures.
Please help with your thoughts here. Thanks in advance.
Siva

Hi,
Create left outer join from Order Number to Revenue Fact and from Shipment Number to Revenue Fact.
Now when you create a report you will get all Orders and Shipments.
It will impact the performance of the reports though.
or you can try creating a union report as
Customer Order Number Shipment Number Revenue Quantity >>>>>>>> This will give you orders which have Revenue
Union
Customer Order Number Shipment Number 0 >>>>>>>> This will give all orders and shipments
Hope this helps.
Thanks

Join fact with another fact like a dimension

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