Query selected levels of multiple hierarchies of one dimension

Hi to all.
I have created through AWM 11 a customer dimension with two hierarchies as follows.
SLM_HIER: All Customers -> Salesman -> Customer
GEO_HIER: All Customers -> State -> City -> Customer
I have also created a SALES_CUBE (measures: QUANTITY, VALUE, aggregation: SUM) that is dimensioned with Customer dim.
I'm using OBIEE to query the OLAP engine (through the relational views that AWM created automatically). I have followed the OTN OBE tutorials.
I would like to have the following query on the cube:
Give me QUANTITY where SALESMAN=S1 and CITY in ('Athens','Rome').
Is it possible to have such a query? As far as I understand there are no ready aggregated data for selected levels of both hierarchies.
Thank you very much.
Chris

I think OBIEE would also give you your answer from OLAP.
This query has filters defined from both the hierarchies and hence OBIEE would (should) automatically service this query from the highest common level b/w the hierarchies (in this case: base/leaf level - Customer). As a result of this, if CUST is your Customer dimension, OBIEE (at least, the older style of obiee modeling with olap) would introduce the security filter CUST_LEVEL = 'Customer'. Granularity of the resultset returned would be per individual Customer. 1 record per Customer satisfying the criteria SALESMAN='S1' and CITY in ('Athens','Rome').
Ideally you should include the Cust Id, Quantity columns in your obiee answers report and use an internal answers object/view like a Pivot View to hide Customer details column and get a localized aggregation performed over the resultset returned from OLAP to get the consolidated Quantity. Answers table has data at Customer level, Answers Pivot can show the required result.
Note1: The Cube cannot have this result pre-calculated since its a contradictory combination of filters across hierarchies. Level specific aggregate values calculated (or pre-calculated) in the cube for Salesman level (h1) would contain Customers from all cities (h2) and similarly City level (h2) Aggregates would contain Customers of all Salesmen (h1).
Note2: I believe OBIEE modeling with OLAP suffers from some issues relating to multiple hierarchies (e.g: if you have filter from non-default hierarchy CITY in ('Athens','Rome') alone, i think it would still fetch the results from lowest common level Customer instead of from City level directly).
HTH
Shankar

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Multiple Hierarchies in one dimension - comments?

multiple hierarchies
Hi Experts,
I'd like your comments on my implementation of multiple hierarchies in one dimension.- especially if this can be done in a way that:
a) still enables users to choose the hierarchy in a dashboard prompt
b) reduces maintenance to a minimum
The dimension groups ages into several different groups like the example below:
Hierarchy1 Hierarchy2
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0........0-2...........0-5
1........0-2...........0-5
2........0-2...........0-5
3........3-5...........0-5
4........3-5...........0-5
75.......70-75.........70-80
76.......76-80.........70-80
Right now I've implemented this by defining one dimension having one hierarchy:
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....Hierarchy
.......Group
.........Age
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- Hierarchy          Hierarchy
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- Group          Group
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- Age               Age
Advantages:
A answers / dashboard user can select one or more hierarchies by using a dashboard prompt.
Adding a new hierarchy (a new grouping) doesn't need changes in the dimension itself
Disadvantages:
A new grouping needs manual steps to implement
- a new physical table
- a new LTS attached to the logical table (including the fragmentation content)
Thanks for your time and comments
Regards
Andy

multiple hierarchies
Hi Experts,
I'd like your comments on my implementation of multiple hierarchies in one dimension.- especially if this can be done in a way that:
a) still enables users to choose the hierarchy in a dashboard prompt
b) reduces maintenance to a minimum
The dimension groups ages into several different groups like the example below:
Hierarchy1 Hierarchy2
Age......Groups........Groups.....
0........0-2...........0-5
1........0-2...........0-5
2........0-2...........0-5
3........3-5...........0-5
4........3-5...........0-5
75.......70-75.........70-80
76.......76-80.........70-80
Right now I've implemented this by defining one dimension having one hierarchy:
Total
....Hierarchy
.......Group
.........Age
The underlying logical table is based on several logical table sources (LTS) - one for each hierarchy as shown in the first example(Hierarchy1, Hierarchy2).Every LTS has a fragmentation definition filtering on values on 'hierarchy-level'.
Columns in the logical table (and of course in the underlying LTS) are:
Column               mapped to hierarchy-level
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- Hierarchy_id          Hierarchy
- Group          Group
- Group-id          Group
- Age               Age
Advantages:
A answers / dashboard user can select one or more hierarchies by using a dashboard prompt.
Adding a new hierarchy (a new grouping) doesn't need changes in the dimension itself
Disadvantages:
A new grouping needs manual steps to implement
- a new physical table
- a new LTS attached to the logical table (including the fragmentation content)
Thanks for your time and comments
Regards
Andy

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Hi all,
I am new in using AWM. I have problem when using two hierarchies in one dimension. This is sample of dimension.
A
---+B
-----+B1
-------+B2
---------+B3
---+C
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---------+C3
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Maybe you need to join the generic dimension view A_VIEW with the fact-cube view in the physical layer of rpd on the basis of the key corresponding to the (common) lowest level of the dimension.
Regd your dimension hierarchy setup:
A
---+B
-----+B1
-------+B2
---------+B3
---+C
-----+C1
-------+C2
---------+C3It looks like you have column/level B3 as leaf level of hierarchy B and C3 as leaf level of hierarchy C.
Is this distinction piurely logical and the same physical column is used to represent both B3 and C3?
Then A_VIEW and Fact view should be joined on basis of this single common level key column.
Generally a dimension A with multiple hierarchies B and C will work fine when you have a common lowest level D, say, which acts as the leaf level for both hierarchies of the dimension.
Can you model the hierarchy as
A
---+B
-----+B1
-------+B2
---------+B3
-----------+D
---+C
-----+C1
-------+C2
---------+C3
-----------+D NOTE1: Same level/column D acts as leaf level of Hierarchy B as well as Hierarchy C. We should not use 2 different columns D1 and D2 even if they contain the same data
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In that case, you can issue a query against Fact F1 which uses both level columns B and C from different hierarchies of A against a measure defined in Fact table F1.
You can even add a filter (where clause) on columns B/C/both B and C as required.
Result will be at the granularity of level D (not summarized to either level B along HI_B hierarchy or level C along HI_C hierarchy) -- 1 record per distinct member at Level D of default hierarchy with the corresponding values for columns B and C available as part of the output since they are ancestor fields and availble at level D. A smart reporting tool like OBIEE or BO can even exclude the column corresponding to D locally within a pivot and create ad-hoc, report level, pivot table based local summaries (aggregated results for each combination of values in columns B and C).
HTH

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D

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http://www.balancedinsight.com

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A.

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Hi Experts,
Is there are way to get all properties of all levels of all hierarchies of all dimensions of a cube (InfoCube, ODSObject, QueryCube, InfoSet) in one BAPI call?
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Hello all,
How r u ?
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+91 98403 47141

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Multiple hierarchy in one dimension

hi ,
i have a dimension with 4 levels and 2 hierarchy . one hierarchy uses all 4 levels (default hierarchy) and one uses 3 levels .
i have 2 cubes , one cube needs to use hierarchy 1 from that dimension and there is no problem on validation time .
one cube needs to use hierarchy 2 of that dimension when i uses 'deploy all ' as deployment option , OWB says to me that i have to use last level of that dimension . I use relational implementation .
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Padideh

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Hope this helps.
Regards
Kumar

Query selected levels of multiple hierarchies of one dimension

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