10.2.0.1.0A AWM calculations not correct

I use 10.1.0.4 olap database, i have started using 10.2.0.1.0A AWM .
Dimensions are created as follows
1) create one level (this is from database table that contains 2 columns a)id b)id_desc )
2) create hierarchy -->level based and choose the above level
3) map dimension , i connect id of the dimension table to Member and id_desc to LONG_DESCRIPTION and SHORT_DESCRIPTION
Then I maintain the dimension and view the dimension, all the data is perfect.
Similarly my second dimension
I have created cube as follows.
1)create new cube, i do not choose "Use default aggregation plan for cube aggregation"
I choose the two dimensions i have created.
2)Under implementation details
a) sparse is checked.
b) Use Global Composites is checked
c) use compression is not checked
d) Partion cube is not checked
3) Under Rules operator is "SUM".
aggregation Hierarchies all the boxes are checked.
4) Under Summarise To
the two levels of two dimensions are checked.
5) Under Cache
Cache runtime aggregations using session cache is choosen
The above is applied
Next a measure is created
1)"Use aggregation specification from the cube" is choosen
2) Implementation details,rules,summarize to and cache are same as cube creation.
Mapping the cube:-
the 2 id's of fact table are connected to level discriptions under "Dimensions" and one measure of the fact table are
connected to "MEASURES"
Next Maintain cube "Aggregate the full cube" is choosen.
Then view the data. Then I i see the two dimension with measures."BUT THE MEASURE IS NOT THE SUM OF FACT VALUES(DATA)" .
MY FACT IS AS FOLLOW:-
ID1 ID2 MEASURE
1 1 10
2 1 10
3 16 25
4 1 10
3 1 20
MY DIM1 IS AS FOLLOWS:-
ID1 DESCRIPTION
1 DESC1
2 DESC2
3 DESC3
4 DESC4
MY DIM2 IS AS FLOOWS:-
ID2 DESCRIPTION
1 DISC_1
16 DISC_2
26 DISC_3
IN THE CUBE IT APPEARS AS FOLLOWS
NOTE: FOR MY MEASURE - RULE- OPERATOR IS "SUM"
MEASURE
(ID1) ----> DESC1 DESC2 DESC3 DESC4
(ID2)
|
DISC_1 1 1 2 1
DISC_2 # # 2 #
So the MEASURE is not getting aggregated according to the rule.
Kindly help!!
regards,
ROOPA

Scott
I think what you said is absolutely true ,
As I drilled down the the Sales cube created using AWM 10.2.0.1.A and selected following memebers
1)time:---------Jan-04
2)channel:----Catalog
3)customer:--Computer Services Toronto
4)product:-----Mouse Pad
measures:Sales-------Units
results:-------40 ----------53
When I picked the records from fact table for the above criteria, surprise!!!!!!
1 select a.sales,a.units,a.month_id, b.item_dsc,c.ship_to_dsc,d.channel_dsc
2 from units_history_fact a,product_dim b,customer_dim c,channel_dim d
3 where a.item_id=b.item_id and a.ship_to_id=c.ship_to_id and a.channel_id=d.channel_id
4* and a.item_id=30 and a.month_id=103 and a.channel_id=3 and a.ship_to_id=56
SQL> /
---SALES---------UNITS----MONTH_ID---ITEM_DSC--------------SHIP_TO_DSC-----------------CHANNEL_DSC
40.2161062---------53-------103---Mouse Pad--------------Computer Services Toronto-----Catalog
40.2161062---------53-------103---Mouse Pad--------------Computer Services Toronto-----Catalog
40.2161062---------53-------103---Mouse Pad--------------Computer Services Toronto-----Catalog
40.2161062---------53-------103---Mouse Pad--------------Computer Services Toronto-----Catalog
I HAVE 4 records.
and my sum of all the above should have been as follows
1 select sum(a.sales),sum(a.units), a.month_id, b.item_dsc,c.ship_to_dsc,d.channel_dsc
2 from units_history_fact a,product_dim b,customer_dim c,channel_dim d
3 where a.item_id=b.item_id and a.ship_to_id=c.ship_to_id and a.channel_id=d.channel_id
4 and a.item_id=30 and a.month_id=103 and a.channel_id=3 and a.ship_to_id=56
5* group by a.month_id,b.item_dsc, c.ship_to_dsc, d.channel_dsc
SQL> /
SUM(A.SALES)--SUM(A.UNITS)--MONTH_ID---iTEM_DSC-----------------SHIP_TO_DSC------------------CHANNEL_DSC
160.864425-----212-------103------Mouse Pad-----------------Computer Services Toronto-----Catalog
As you said AWM is not aggregating but replacing it with similar record.
Materialized views means more storage and my fact has 40 million records and 9 dimensions.
Then what is the point to using oracle OLAP feature. I am working in cross platforms OLAP environments, it is not this complicated.(i mean MS olap).
Any other solutions please let me know.........
Thankyou,
Regards
Roopa

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93295 53235
[email protected]

Hai,
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