I have the following structure of measures and dimensions, and some example data
Fact Table:
id_dim1 id_dim2 id_dim ...measure1
1 2 ...120
2 1 ...101
1 1 ...95
3 3 ...12
Dim1:
id_dim1 member1value
1 Value1
2 Value2
3 Value3
Dim2:
id_dim2 member2value
1 Value1
2 Value2
3 Value3
Dim1 and Dim2 are ac开发者_如何学Gotually roleplaying dimension and are based on the same dimension table
I want to calculate a measure which sums measure1 only when:
[Dim1].[Hierarchy1].[Level based on member2value]=[Dim2].[Hierarchy1].[Level based on member2value]
In the above example, the measure would be calculated as: 95+12=107
The catch is that I want the measure calculated correctly even though Dim1 and Dim2 are not used in the later mdx query.
So far I have the following, which only works when Dim1 and Dim2 are used in the later query:
Member [Measures].[CondMeasure] AS 'IIF(
[Dim1].[Hierarcy1].[All].[Level].CurrentMember.Name =
[Dim2].[Hierarchy1].[All].[Level].CurrentMember.Name
,
([Measures].[Measure1],
[DimXX].[Hxx].[LevelXX].[MemberXX],
[DimYY].[Hyy].[LevelYY].[MemberYY])
),
0
)
'
The measure is also only calculated in context of some other members, as demonstrated above.
Btw. I am trying this in SSAS
Regards Soeren
What do you think about creation additional field in fact table or expression in DSV?
case
when id_dim1 = id_dim2 then measure1
else 0
end
after that you can create new metric...
In some situations it's easier than writing difficult mdx-expressions.
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