Unexpected transaction data in fact table

Hi,
I have created customized table having field
SWISSEMPID SWEMPNAME SWADDRESS SWDESIGNATION
SWHIREDATE SUPERVISOR SWISSCOMP ETHNICITY LANGUAGE CURRENCY
On the basis of table , I have created generic data source for text ( empname ) and attr ( empid)
dtp excetuded successfully
but for transaction data , in extract structure I have taken empid and empname for connecting dimension
table to fact table , compensation also selected ( transaction data)
after exectuing dtp i am getting 426000 value , it is repeated for each record
which does not exist in table
Regards,
Vivek
Edited by: Vivek Srivastava on Jan 13, 2010 9:07 AM

You need to explain your requirement a bit more. Why you want to add type or rejection reason in fact table.
In general you should avoid adding textual data in fact.
Fact tables are only supposed to store keys and measures. It can hold textual data in case of degenerate dimension ( i.e if the number of records are same in dimension as well as fact ).
Type or Rejection reason are going to have much less records. You can create a new dimension for them having probably 20 or 30 records.
Disadvantages of adding textual data in fact is, once the fact has millions of records the fact table updates are going to take huge time and also your reports will take long time.
If you have a rejection reason dimension with some 20 records, you can use rejection reason in prompts.
But if the same rejection reason is coming from fact table your prompts performance is going to be very slow since it has to fetch 20 distinct records from millions of records.
Consider these before adding textual data in facts.
Thanks
Edited by: Maqsood Hussain on Dec 5, 2012 9:40 PM

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I cant see any join conditions in your query posted. Whats the purpose of the query above. It will just bring you a cartesian product (cross join) of tables involved subjected to filters. Are you sure this is the correct query?
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Hi
I would like to understand what can be the probable issues which I may face in OBIEE 11g if my fact table has non- numeric data (textual data) like type or rejection reason in the fact table.
I am new to the team and the data warehouse consist of textual data in fact table. I am not very much sure whether this approach is correct(unless I am missing latest trend)
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You need to explain your requirement a bit more. Why you want to add type or rejection reason in fact table.
In general you should avoid adding textual data in fact.
Fact tables are only supposed to store keys and measures. It can hold textual data in case of degenerate dimension ( i.e if the number of records are same in dimension as well as fact ).
Type or Rejection reason are going to have much less records. You can create a new dimension for them having probably 20 or 30 records.
Disadvantages of adding textual data in fact is, once the fact has millions of records the fact table updates are going to take huge time and also your reports will take long time.
If you have a rejection reason dimension with some 20 records, you can use rejection reason in prompts.
But if the same rejection reason is coming from fact table your prompts performance is going to be very slow since it has to fetch 20 distinct records from millions of records.
Consider these before adding textual data in facts.
Thanks
Edited by: Maqsood Hussain on Dec 5, 2012 9:40 PM

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Hi A,
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You need to explain your requirement a bit more. Why you want to add type or rejection reason in fact table.
In general you should avoid adding textual data in fact.
Fact tables are only supposed to store keys and measures. It can hold textual data in case of degenerate dimension ( i.e if the number of records are same in dimension as well as fact ).
Type or Rejection reason are going to have much less records. You can create a new dimension for them having probably 20 or 30 records.
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If you have a rejection reason dimension with some 20 records, you can use rejection reason in prompts.
But if the same rejection reason is coming from fact table your prompts performance is going to be very slow since it has to fetch 20 distinct records from millions of records.
Consider these before adding textual data in facts.
Thanks
Edited by: Maqsood Hussain on Dec 5, 2012 9:40 PM

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Unexpected transaction data in fact table

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