Mapping measures in a cube vs Calculated Measure
I have a fact table as
Fact_Table_
Sales Product_ID Special_Product_Flag
Special_Product_Flag is a y/n flag
and a Dimension_ table as
Product_ID Product_Name
I want to have 2 measures in the cube
1. Product_Sales
In the cube I specify the mapping for this measure as Fact_Table.Sales
2. Special_Product_Sales
in the cube I specify an olap expression in the mapping as
case
when Fact_Table.Special_Product_Flag = 'Y' then Fact_Table.Sales else 0 end
Now is the measure Special_Product_Sales treated as a calculated measure ?
Here are definitions of base versus calculated measures.
<li> A base measure is a measure that has associated physical storage in the AW. This physical storage is populated using some kind of load step, which may use either SQL or OLAP DML. The measure may then be aggregated according to the aggregation rules of the cube. The value of a base measure for any given cell in the cube may be stored or may be calculated dynamically depending on the "precomputation" rules of the cube.
<li> A calculated measure is one that has no physical storage in the AW. The values of a calculated measure are always calculated dynamically regardless of the precomputation rules of the cube.
Your case is clearly a base measure because you are physically loading data into the AW. The fact that you use a case expression in the mapping does not change the fact that is takes up physical storage nor the fact that it can be aggregated. It is the ability to aggregate the data that makes this a useful feature. In your case you will be able to aggregate special_product_sales up the product hierarchy so that its value for 'ALL_PRODUCTS' will be
select sum(sales)
from fact_table
where Special_Product_Flag = 'Y'The value of sales for 'ALL_PRODUCTS', by contrast, would be
select sum(sales)
from fact_tableAs a side note it may be better to define your mapping using NULL instead of 0.
case
when Fact_Table.Special_Product_Flag = 'Y'
then Fact_Table.Sales
else null
end
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I have a very simple schema I am using to reproduce somethign on my end, three tables.
One table has a primary key that joins 1-n to the foreign keys of the other tables.
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BI Blog: http://oraclebi.blogspot.com/
DM Blog: http://oracledmt.blogspot.com/
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"You will find a fortune, though it will not be the one you seek." -
Blind Seer, O Brother Where Art Thou
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Error message:
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Edit:
Regards
Mogens
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ErrorCode="3240034318"
Description="Errors in the OLAP storage engine: An error occurred while processing the 'COLUMN USAGE FACT_9058' partition of the 'SYBASE COLUMN USAGE' measure
group for the 'COLUMN_USAGE' cube from the Column_Analytics_QA database."
Source="Microsoft SQL Server 2008 R2 Analysis Services"
HelpFile="" />
<Error
ErrorCode="3240034318"
Description="Errors in the OLAP storage engine: An error occurred while processing the 'COLUMN USAGE FACT_8322' partition of the 'SYBASE COLUMN USAGE' measure
group for the 'COLUMN_USAGE' cube from the Column_Analytics_QA database."
Source="Microsoft SQL Server 2008 R2 Analysis Services"
HelpFile="" />
<Error
ErrorCode="3240034318"
Description="Errors in the OLAP storage engine: An error occurred while processing the 'COLUMN USAGE FACT_8658' partition of the 'SYBASE COLUMN USAGE' measure
group for the 'COLUMN_USAGE' cube from the Column_Analytics_QA database."
Source="Microsoft SQL Server 2008 R2 Analysis Services"
HelpFile="" />
<Error
ErrorCode="3240034318"
Description="Errors in the OLAP storage engine: An error occurred while processing the 'COLUMN USAGE FACT_8410' partition of the 'SYBASE COLUMN USAGE' measure
group for the 'COLUMN_USAGE' cube from the Column_Analytics_QA database."
Source="Microsoft SQL Server 2008 R2 Analysis Services"
HelpFile="" />
<Error
ErrorCode="3240034318"
Description="Errors in the OLAP storage engine: An error occurred while processing the 'BRDGE PHYS LGCL' partition of the 'BRDGE PHYS LGCL' measure group for
the 'COLUMN_USAGE' cube from the Column_Analytics_QA database."
Source="Microsoft SQL Server 2008 R2 Analysis Services"
HelpFile="" />
<Error
ErrorCode="3240034310"
Description="Errors in the OLAP storage engine: The process operation ended because the number of errors encountered during processing reached the defined limit
of allowable errors for the operation."
Source="Microsoft SQL Server 2008 R2 Analysis Services"
HelpFile="" />
Any idea what might be the reason?Please refer another question with the same issue
here
Below is my answer from that post:
From my experience, this may be because of data loading in dimensions or fact while you are processing your cube or (in worst case) the issue is not related to attribute keys at all. Because, if you re process the cube it will process successfully on the same
set of records.
First identify the processing
option for your SSAS cube.
You can use SSIS "Analysis Service processing task" to process dimensions and fact separately.
or
You can process object in batches (Batch
Processing). Using batch processing you can select the objects to be processed and control the processing order.
Also, a batch can run as a series of stand-alone jobs or as a transaction in which the failure of one process causes a rollback of the complete batch.
To aggregate:
Ensure that you are not loading data into fact and dimension while processing cube.
Don't write queries for dirty read
Remember when you process a dimension on ProcessFull or ProcessUpdate; cube will move to unprocessed state and it can
not be queried.
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