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1:many relationship

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I have a situation where Saiku sometimes displays an unexpected/undesirable value, until I re-run the exact same calculation.

It is where a fact table has a 1:many relationship with a dimension table.


For example;
- Each fact is a sweetie purchase
- The sweetie-preferences dimension table can have multiple records per customer
---> Customer1 prefers Chocolate and Toffee
---> Customer2 prefers Toffee and BonBons
---> Customer3 prefers BonBons and Chocolate
-----> Each Customer has 2 records in the sweetie dimension table

Code:

CustomerID | Purchase Date | Value
------------+---------------+-------
1          | 1            | 2.0
2          | 2            | 5.0
3          | 1            | 3.0


CustomerID | Preferred Sweeties
------------+--------------------
 1          | Chocolate
 1          | Toffee
2          | BonBons
2          | Toffee
3          | BonBons
3          | Chocolate

If I look at sales by sweety preference; each customer (correctly) contributes their sales to two different catgories.
---> Customer's sales appear included within the "Chocolate" row AND the "Toffee" row

Code:

Preferred Sweeties | Sales Value
--------------------+-------------
BonBons            | 8.0  (3.0 + 5.0)
Chocolate          | 5.0  (2.0 + 3.0)
 Toffee            | 7.0  (2.0 + 5.0)



Then, if I remove the preference dimension from the report, the results include multi-counting (As if Mondrian expects that it can simply SUM() across the three sweeties to get the overall aggregated value).

Code:

Sales Value
-------------
20.0        (3.0 + 5.0) + (2.0 + 3.0) + (2.0 + 5.0)

Until I refresh the exact same query again, then it gives the 'correct' values.

Code:

Sales Value
-------------
10.0        (2.0 + 3.0 + 5.0)



Is this 1:many relationship something supported by Mondrian? Or have I just stepped over a line that I didn't even know existed?



Cheers,
Mat.

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