I have problem with my SSAS Cube.
I have to implement basic calculation to my Cube:
sum(Ammount) where BOOK = "Assets" and CD_PRODUCT_L4 <> "LoanLoss"
My dimmension is in image below:
Dimension attributes: BOOK, CD_PRODUCT_L4, CD_PRODUCT_L5, ..
Hierarchy PROD: CD_PRODUCT_L4 - CD_PRODUCT_L5
CREATE MEMBER CURRENTCUBE.[Measures].[Principal Loans]
AS (
except(
[PLV PRH HDIM CB].[BOOK].&[ASSETS_ON],
[PLV PRH HDIM CB].[COD PRODUCT L4].&[51L4]
),
[Measures].[EOM PRINCIPAL_a])
The biggest thing is that conditions are not from same hierarchy level so I can't use except and I know no other way to implement this particular condition set
Please HELP, Thank you
Product dimmension model
I manage to solve the issue by adding hierarchy to my dimension which allowed me to use except as I wanted before but I'am not satisfied with this solution because it looks more like workaround then solution
CREATE MEMBER CURRENTCUBE.[Measures].[Principal Loans] AS
sum((except([PLV PRH HDIM CB].[Hierarchy BOOK].[BOOK].&[ASSETS_ON].children,[PLV PRH HDIM CB].[Hierarchy BOOK].[COD PRODUCT L4].&[51L4]),[Measures].[EOM PRINCIPAL_a]))
This is probably the closest example that I can provide you to what you need.
This, code below, is just one of about 50 or so Measures we have defined, ranging from Counts, Averages, Sums, Percentages, etc. We take a single DW value and perform at least 2 seperation calculations, most have 4 or more different calculations, from that one field.
CREATE MEMBER CURRENTCUBE.[Measures].[Count Previous Difference]
AS Case
// Test for current coordinate being on (All) member.
When [Date].[YearMonth].CurrentMember.Level Is [Date].[YearMonth].[(All)]
Then "NA"
Else
( [Date].[YearMonth].CurrentMember, [Measures].[Gross Count] )
-
( ParallelPeriod (
[Date].[YearMonth].CurrentMember.Level,
1,
[Date].[YearMonth].CurrentMember
),
[Measures].[Gross Count]
)
End,
FORMAT_STRING = "#,##0.00;-#,##0.00",
NON_EMPTY_BEHAVIOR = { [Gross Count] },
VISIBLE = 0 , ASSOCIATED_MEASURE_GROUP = 'Some Summary';
Keep in mind we also use our DW & Cube with SharePoint and SSRS reports.
Related
I've got the following MDX code to create a category dimension with 4 members:
all members that make up of 0-50% of the measure (TopPercent)
members 50-80%
members 80-95%
members 95-100%
The code works perfectly on levels with a lot of members:
WITH
MEMBER [measures].[v] as eval([Tijd].[Tijd].[jaar].[2018],[Measures].[Bedrag])
set [selection] as Order( nonempty([Categorie].[Categorie].[categorie].members,[measures].[v]), [measures].[v], BDESC)
CATEGORY HIERARCHY [Stats].[ABCD], DEFAULT_MEMBER_NAME = "Totaal", LEVEL_NAME_PATTERN="L - ABCD - ${levelDepth}"
CATEGORY MEMBER [Stats].[ABCD].[Totaal].[A (0-50%)] as
TopPercent([selection],50, [measures].[v] ), ADD_CHILDREN=true
CATEGORY MEMBER [Stats].[ABCD].[Totaal].[B (50-80%)] as
TopPercent([selection],80, [measures].[v] )
- TopPercent([selection],50, [measures].[v]), ADD_CHILDREN=true
CATEGORY MEMBER [Stats].[ABCD].[Totaal].[C (80-95%)] as
TopPercent([selection],95, [measures].[v])
- TopPercent([selection],80, [measures].[v] ), ADD_CHILDREN=true
CATEGORY MEMBER [Stats].[ABCD].[Totaal].[D (95-100%)] as
Order([selection], [measures].[v], BDESC)
- TopPercent([selection],95, [measures].[v]), ADD_CHILDREN=true
SELECT
// Measures
{[measures].[v]} On 0,
// Columns
[Stats].[ABCD].[L - ABCD - 1].members on 1,
// Rows
[Stats].[ABCD].[L - ABCD - 2].members on 2
FROM (select [Tijd].[jaar].[2018] on 0 from [Spendzoom])
/*ic3navigation*/
But when I run the MDX code with:
set [selection] as Order( nonempty([Categorie].[Categorie].[type].members,[measures].[v]), [measures].[v], BDESC)
I get the error: Category member "[Stats].[ABCD].[Totaal].[C (80-95%)]'defined as an empty set.
I have tried to rewrite the definitions, as:
subcubeminus(TopPercent .... , TopPercent)
But that gave completely strange results.
How can I overcome this error and have a generic approach that allways works regardless of the contents of the hierarchy & level in the [selection] definition?
To understand what happening you should check how TopPercent works (it's not really whay you expected).
Try this MDX :
WITH
MEMBER [measures].[v] as eval([Tijd].[Tijd].[jaar].[2018],[Measures].[Bedrag])
STATIC SET [selection] as [Categorie].[Categorie].[categorie].members
SELECT
[measures].[v] On 0,
TopPercent([selection],95, [measures].[v]) on 1,
TopPercent([selection],80, [measures].[v] ) on 2
FROM
(select [Tijd].[jaar].[2018] on 0 from [Spendzoom])
As you see both return the same set, and that is not what you are looking I guess.
As ic3 mentioned in the comments, as of icCube 6.8.10, icCube allows now to have empty categories. Y
For me this means, business wise, that regardless of the global filter settings the categories ALWAYS work. In case it is an empty set, it results a blank value in the dashboards.
example of a Parato analysis for just 1 vendor (bedrag = amount, #Fact = nr of invoices, #Lev = nr of suppliers)
Exactly as desired.
I'm trying to create a Calculated Member in my cube with where clause but couldn't figure how to achieve the proper result.
I created a calculated member "Outlook" using the below code to display only Forecast values.
CREATE MEMBER CURRENTCUBE.[Measures].[Outlook]
AS SUM(([Source Profile].[Source Profile Hierarchy].CurrentMember,
[Source Profile].[Profile Level01].&[Outlook]),
[Measures].[USD Amount]),
FORMAT_STRING = "#,##0;(#,##0)",
VISIBLE = 1 , DISPLAY_FOLDER = 'USD' , ASSOCIATED_MEASURE_GROUP = 'CARS';
Cube Result
Now I would like to filter the results dynamically based on another hidden dimension "Current_Month". This dimension always has current financial period value and it's corresponding outlook profile
Year_Month Outlook_Profile
2015010 10 + 2
Expected result should be "Outlook" measure showing value based on Current_Month dimension, which is '10 + 2' and rest of them should be 0
Expected result
Just to explain the requirement in SQL terms, I would like to achieve the below in MDX
Where Fact.Source_Profile=Dimension.Source_Profile
instead of
Where Fact.Source_Profile='10 + 2'
I'm not sure how to achieve this in Where Clause or by another means. I could see examples of hard coding values, like year.&[2015] but haven't seen one using dynamic values.
I found a solution myself and thought of sharing the same. Used StrToMember function to pass hidden dimension's member as a variable here.
CREATE MEMBER CURRENTCUBE.[Measures].[Outlook]
AS (
Sum
(
(
[Source Profile].[Source Profile Hierarchy].CurrentMember,
strtomember("[Source Profile].[Source Name].&[" + [Outlook Profile].[Outlook Profile].&[1].Member_Caption + "]")
)
,[Measures].[USD Amount]
)
),
FORMAT_STRING = "#,##0;(#,##0)",
VISIBLE = 1 , DISPLAY_FOLDER = 'USD' , ASSOCIATED_MEASURE_GROUP = 'CARS' ;
I would like to filter a dimension for cube security with some information that are in another dimension.
So - I have a dimension which holds some account Responsible (Account Number and the initials on the one responsible) and another Dimension with all accounts.
I would like to make sure, that a person only can see movements on the accounts on which they are responsible.
I can make the filtering work like this:
SELECT
{} ON 0
,{
Exists
(
Filter
(
[Accounts].[Accounts].[AccountNo]
*
[AccountResponsible].[AccountResponsible].[AccountNo]
,
[Accounts].[Accounts].Properties("key")
=
[AccountResponsible].[AccountResponsible].Properties("key")
)
,[AccountResponsible].[Responsible].&[MSA]
)
} ON 1
FROM mycube;
the problem is, that there are two columns, and I can't use that in cube security. Is there a way to rewrite this, so that I actually get only one column with the members that the user are allowed to see?
Try using the Extract function:
SELECT
{} ON 0
,
EXTRACT(
{
Exists
(
Filter
(
[Accounts].[Accounts].[AccountNo]
*
[AccountResponsible].[AccountResponsible].[AccountNo]
,
[Accounts].[Accounts].Properties("key")
=
[AccountResponsible].[AccountResponsible].Properties("key")
)
,[AccountResponsible].[Responsible].&[MSA]
)
}
,[Accounts].[Accounts] //<<HIERARCHY YOU WISH TO EXTRACT
) ON 1
FROM mycube;
Using the following mdx, I'm able to retrieve correct data dynamically.
create CATEGORY MEMBER [Stats].[Top].[All Etabs].[Top 5 Etablissements]
as topcount( [Etablissement].[Etablissement].[Etablissement].allMEMBERS, 5, [Measures].[Nbsejours]),ADD_CHILDREN=true
create CATEGORY MEMBER [Stats].[Top].[All Etabs].[Autres Etablissements (>5)]
as Except([Etablissement].[Etablissement].[Etablissement].members, TopCount( [Etablissement].[Etablissement].[Etablissement].MEMBERS, 5, [Measures].[Nbsejours])),ADD_CHILDREN=false
create dynamic set [Top 5 & Others]
as {[Stats].[Top].[Top 5 Etablissements], [Stats].[Top].[Autres Etablissements (>5)]}
Select {[Measures].[NbSejours]} on 0,
nonempty ([Top 5 & Others]) on 1
From //[Cube]
( SELECT { {[Geographique].[Zone].[All-M].&[1006]} } ON 0 FROM [Cube])
But, the topCount is not dynamic itself. In this example, the top 5 etablissement never change, only the values do change...
Is there a way to get this with dynamic topCount/topPercent ?
Txs,
Bertrand.
Categories (*) have not yet the dynamic flag so it's not possible to define a category that will be calculated for each MDX request once as it happens for a set.
So it's going to be something more like (note I've use the SubCubeComplement that is a lot - may be really a lot - faster )
create dynamic set [Top 5] as
topcount( [Etablissement].[Etablissement].[Etablissement].members, 5, [Measures].[Nbsejours])
*** End script ***
WITH
CATEGORY HIERARCHY [Stats].[Top], DEFAULT_MEMBER_NAME = "All Etabs"
CATEGORY MEMBER [Stats].[Top].[All Etabs].[Top 5 Etablissements] as
[Top 5],ADD_CHILDREN=true
CATEGORY MEMBER [Stats].[Top].[All Etabs].[Autres Etablissements (>5)] as
SubCubeComplement([Top 5]),ADD_CHILDREN=false
SELECT
{[Measures].[NbSejours]} on 0,
{ [Stats].[Top].[Top 5 Etablissements],
[Stats].[Top].[Autres Etablissements (>5)] } on 1
From [Cube]
(*) For the people that are not used to icCube, Categories is a way defining a 'new' member as a set of members (they might have different dimensionalities). This ensures for complex calculations, schemas with many-to-many relations that the values are correctly calculated. Otherwise it might be a little nightmare to ensure calculation correctness.
I am facing some problem to calculate values from comparing dimension's value. I have 3 dimensions (Datatype, Customer, Product) and one measure (GrossSales).
What would be the MDX query if I want GrossSales for ProductID = 1,2,3 and Dataype = 4,5,6?
Here Datatype has relationship with GrossSales, Customer has relationship with GrossSales and Product has relationship with Customer.
I am trying this but doesn't work
CREATE MEMBER CURRENTCUBE.[Measures].Forecast_Gross_Sales AS
(
SELECT NON Empty [Measures].[Gross Sale]
FROM [Measures]
WHERE (
[Data Type].[ID].[ID] = 4
AND [Chain].[Customer ID] = [Measures].[Customer ID]
)
), VISIBLE = 1
, DISPLAY_FOLDER = 'Forecast'
, ASSOCIATED_MEASURE_GROUP = 'Data Types';
It looks like you are just getting started with MDX. There are some fundamental concepts that will help you get what you need. This comparison of SQL and MDX might be helpful. MDX uses the where clause as a slicer (to select certain dimension members) rather than a filter. You can't put member = somevalue in the where clause. And you can't really use the where clause to define a relationship to some other table.
Instead, your where clause would be something more like
[Data Type].[ID].[ID].&[4]
Since I can't see your data model, I can't be sure, but I would guess that [Chain].[Customer ID] = [Measures].[Customer ID] is something that you want to define the the dimension usage of your cube rather than in the query.
Edit: Now that the question has been edited, it looks like you are creating a calculated member. in this case there is no select or where clause. It will look more like this:
CREATE MEMBER CURRENTCUBE.[Measures].Forecast_Gross_Sales AS
Aggregate([Data Type].[ID].[ID].&[4], [Measures].[Gross Sale])
, VISIBLE = 1
, DISPLAY_FOLDER = 'Forecast'
, ASSOCIATED_MEASURE_GROUP = 'Data Types';
The relationship from the measure group through the Customer dimension to the Chain dimension is something that should be defined in the dimension usage. This is called a Reference dimension relationship.