Powerview modifying a calculated measure in SSAS cube

We are running SQL Server 2012 and Sharepoint 2013 we are having problems with Powerview modifying a calculated measure in the underlying multidimensional cube. We have a powerview report with multiple pages that allows a user to utilize a global filter
to view the financial performance of particular customers on multiple reports/pages. When the user picks a different customer, one of the calculated measures, in this case gross margin percent, is essentially stuck. It does not change when the customer selection
changes. It remains the gross margin percent as the previous customer. All of the other measures change appropriately. Measures such as sales, expenses, ebitda and the other measures that are columns in the relational sql server db feeding the cube are fine.
Only the calculated measures defined in ssas are not working. I then tested the molap cube on a clean connection to a new excel sheet and was shocked to find that the same value the power view report is stuck on is also displayed in the excel file! It
has essentially modified the data in the cube! The only way to clear the value and display the correct calculation is to re deploy the cube. Any one here know what to do to resolve this?

Hi Osu75,
According to your description, you create a PowerView report using SSAS cube as the data source in SharePoint site, the problem is that when changing the selection in the global filter, it change the calculated measure in the underlying multidimensional
cube, right?
In your scenario, which script are you using when creating this calculated measure? Generally, report is used to display data from underlying database, it's really strange that the PowerView report change the calculated measure in the underlying multidimensional
cube.
From a support perspective this is really beyond what we can do here in the forums. If you cannot determine your answer here or on your own, consider opening a support case with Microsoft. Visit this link to see the various support options that are available
to better meet your needs:
http://support.microsoft.com/default.aspx?id=fh;en-us;offerprophone
Regards,
Charlie Liao
If you have any feedback on our support, please click
here.
Charlie Liao
TechNet Community Support

Similar Messages

How to modify formula for the calculated measure in a cube.

Hi,
I need to modify formula for some measures within a cube, What would be the best way do that? In the obj view if I update the formula and compile, it does seem to reflect in the model view.
I cannot delete and recreate the measures deletion and recreation would change the order of the measures which i do not need.
Appreciate your inputs. thanks

Yes thats true it desnt change in the AWM front end if you change the formula in object view but it would show you results according to the new formula.
If you want AWM to show the correct expression in the front end then the way out is to change in the XML and reimport the xml.
Thanks,
Brijesh
Edited by: Brijesh Gaur on Nov 18, 2009 5:51 PM

Adding WHERE condition in "Calculations" tab of SSAS Cube Designer

HI,
I am using SSAS 2012 version to develop SSAS cube
and need help on following scenario :
In the BIDS designer, on the Calculations tab:
I am creating one calculated member called [% Jobs] for which I am writing MDX expression as below :
'([Measures].[On Time jobs]/[Measures].[Total Jobs])*100'
Till here all is well...
Now, How do I implement here WHERE condition ?
For ex., in my fact table I have a column Line_Number
I want to implement above MDX expression such that it only considers Line_Number=1
while doing the above calculation.
Hope it is clear.
Thanks...

I tried with below method :
While keeping the expression as it is :
'([Measures].[On Time jobs]/[Measures].[Total Jobs])*100'
What I did was in the partition tab, i choose option "Query binding" (instead of Table binding) and over there I mentioned the condition
WHERE Line_Number=1
So it should do the calculations only for the first line.
Is this approach also correct ?
Thanks

Sorting measures (calculated members) in SSAS cube designer

Hi,
In SSAS 2012 cube designer, on the "Calculations" tab I am writing some simple calculated members and displaying it in a folder (Display Folder=)
FolderA
am So this FolderA has the members as below :
[<-A1], [-A1], [A],
[A1], [A2], [A3], [A4], [A5],
and [>A5]
While I am browsing the cube from Excel 2007, this FolderA is deployed correctly along with the above measures. All fine till here.
However, while I expand FolderA, Sorting is not done correctly. It is displaying like below :
<-A1, >A5, A, A1, -A1, A2, A3, A4, A5
But I want it to be sorted correctly so that it looks good as below :
<-A1, -A1, A, A1, A2, A3, A4, A5, >A5
How to do this at cube level ? Any property or any work around (using the latest SSAS 2012 version)
Thanks

Hi Yvanlathem,
I am not talking about sorting of folders/subfolders.
I want to short calculated members within the folder
As my first post itself says, For ex.,
in FolderA
this FolderA has the members as below :
[<-A1], [-A1], [A], [A1], [A2], [A3], [A4], [A5], and [>A5]
However, while I browse cube and expand FolderA ; Sorting is not done correctly. Currently it is displaying like below :
<-A1, >A5, A, A1, -A1, A2,
A3, A4, A5
But I want it to be sorted correctly as below (After
use of this solve order keyword it should sort as per below):
<-A1, -A1, A,
A1, A2, A3, A4, A5, >A5

Problem with SSAS cube reporting action when using pivot filter with cubevalue function

Hi everyone,
I have a quite specific problem when I combine cube actions (Reporting Action SSRS) with Excel's cubevalue() function.
The problem is when I use a pivot filter as a parameter for the cubevalue() function. The action item does not show up in the context menue.
The cube action works fine when I do it from a "normal" pivot or if I use the cubevalue() function without the reference to a pivot filter (all the parameters in the function are "hard-coded").
I use SSAS 2012 and Excel 2010.
Thanks for yor help.
Gerhard

Hi everyone,
I actually figured out a way to solve this problem. I had to use a detour to solve this bug in Excel (at least I think it's a bug).
What I needed to do: I had to make Excel belive that the filter is actuall hard-coded and does not come from a pivot filter. This was only possible by adding a new calculated measure to the cube that gives back the MEMBER_Unique_Name to the current member
passed. This "value" can then be used to go back to the cube and select the cubemember function. Here is a small example.
This is the cube member:
CREATE MEMBER CURRENTCUBE.[Measures].[RegCompBranNameKey] AS
[Company Branch].[Reg - Comp - Bran Name].CurrentMember.Properties("MEMBER_UNIQUE_NAME", TYPED),
VISIBLE = 0 ;
And this is then done in a hidden Excel cell:
=CUBEMEMBER("Metrics";
IF(RIGHT(CUBEVALUE("Metrics";<PivotFilter>;"[Measures].[RegCompBranNameKey]");5)="[ALL]";"[ALL]";
RIGHT(CUBEVALUE("Metrics";<PivotFilter>;"[Measures].[RegCompBranNameKey]");LEN(CUBEVALUE("GlobalMetrics";<PivotFilter>;"[Measures].[RegCompBranNameKey]"))-57)
I had to use the UniqueName property because I have a combined filter. That's also the reason for this truncation and also useing the last part of it. If you just have a straight key you more easily use it.

How to use dynamic set in calculated measure

Hi,
I have this calculated measure in my cube:
member [Measures].[Estimate]
as
iif(
isleaf([Calendar].[By Year - Quarter - Month].currentmember),
iif(
1=1, // Simplified for examples sake
[Measures].[Actual],
[Measures].[Budget]
sum(
[Calendar].[By Year - Quarter - Month].currentmember.children,
[Measures].[Estimate]
It works fine, however when the user filters on the calendar hierarchy, the totals does not seem to react. As far as I can read, this is related the use of sub cubes when filtering in Excel, and this can be fixed by using a dynamic set, but how? I am unsure
how one would use it with this measure.
Thanks in advance

This used to be a problem with Excel 2003 though I thought it had been fixed with the more recent versions. I've only seen this issue when using named sets in a calculated measure and not when the set is defined within the calculated measure and that's corrected
by declaring EXISTING before the named set reference as below.
SET [Member Descendants] AS
[Calendar].[By Year - Quarter - Month].CurrentMember.CHILDREN
MEMBER [Measures].[Estimate] AS
IIF(
ISLEAF([Calendar].[By Year - Quarter - Month].currentmember),
IIF(
1=1, // Simplified for examples sake
[Measures].[Actual],
[Measures].[Budget]
SUM(
EXISTING [Member Descendants],
[Measures].[Estimate]
EXISTING will force the named set to be evaluated with the context of each cell evaluation.
Martin Mason Wordpress Blog

SSAS Cube Measures will not display for all associated dimensions in Excel client

Dear All,
Can you please clarify the below query to me?
I have one Calculated Member CM1 and the expression used to calculate is:
([Dimension1].[HierarchyName1].CURRENTMEMBER.Prevmember,[Measures].[Amount]) associated to a Measure Group MG1.
Dimension1 is having two Hierarchies HierarchyName1 and HierarchyName2.
Measure CM1 is used to Calculate another calculated Member CM2 along with other Non Calculated measures and associated to the same Measure Group MG1.
And the Measure Group MG1 is linked to other dimensions, Dimension2 and dimension3 as well.
When I query the cube in Excel Client for the measure CM2, values appears only when the dimension Dimension1.HierarchyName1 is used to view the results.
And values do not appear:
When I do not use any dimensions (Only CM2 used to display in the excel)
When I use Other dimensions linked i.e. Dimension2 and dimension3
And Also does not display any values if the CM2 is used along with other hierarchy of same dimension1 i.e. HierarchyName2
I don understand this concept OR Is this the concept how the tuples work in SSAS MDX?
If a Calculated measure is created using a one of Dimension member, cannot we view that measure value along with other dimensions linked or when we do not use any dimension to view the results in excel?
Can you please help me to understand this.
Thanks in Advance and Regards.

As you explained CM2 depends on CM1.
The dependency for CM1 is "[Dimension1].[HierarchyName1].CURRENTMEMBER.Prevmember".
So to get value for CM1 you need to bring HierarcyName1.
So for CM2 also HierarcyName1
has to be used only then the data will be visible. When HierarcyName1 is used you can play with
the combinations of other dimension as well .
http://www.bifeeds.com

Are Cube organized materialized view with Year to Date calculated measure eligible for Query Rewrite

Hi,
Will appreciate if someone can help me with a question regarding Cube organized MV (OLAP).
Does cube organized materialized view with calculated measures based on time series Year to date, inception to date eg.
SUM(FCT_POSITION.BASE_REALIZED_PNL) OVER (HIERARCHY DIM_CALENDAR.CALENDAR BETWEEN UNBOUNDED PRECEDING AND CURRENT MEMBER WITHIN ANCESTOR AT DIMENSION LEVEL DIM_CALENDAR."YEAR")
are eligible for query rewrites or these are considered advanced for query rewrite purposes.
I was hoping to find an example with YTD window function on physical fact dim tables with optimizer rewriting it to Cube Org. MV but not much success.
Thanks in advance

I dont think this is possible.
(My own reasoning)
Part of the reason query rewrite works for base measures only (not calc measures in olap like ytd would be) is due to the fact that the data is staged in olap but its lineage is understandable via the olap cube mappings. That dependency/source identification is lost when we build calculated measures in olap and i think its almost impossible for optimizer to understand the finer points relating to an olap calculation defined via olap calculation (olap dml or olap expression) and also match it with the equivalent calculation using relational sql expression. The difficulty may be because both the olap ytd as well as relational ytd defined via sum() over (partition by ... order by ...) have many non-standard variations of the same calculation/definition. E.g: You can choose to use or choose not to use the option relating to IGNORE NULLs within the sql analytic function. OLAP defn may use NASKIP or NASKIP2.
I tried to search for query rewrite solutions for Inventory stock based calculations (aggregation along time=last value along time) and see if olap cube with cube aggregation option set to "Last non-na hierarchical value" works as an alternative to relational calculation. My experience has been that its not possible. You can do it relationally or you can do it via olap but your application needs to be aware of each and make the appropriate backend sql/call. In such cases, you cannot make olap (aw/cubes/dimensions) appear magically behind the scenes to fulfill the query execution while appearing to work relationally.
HTH
Shankar

Mapping measures in a cube vs Calculated Measure

I have a fact table as
Fact_Table_
Sales Product_ID Special_Product_Flag
Special_Product_Flag is a y/n flag
and a Dimension_ table as
Product_ID Product_Name
I want to have 2 measures in the cube
1. Product_Sales
In the cube I specify the mapping for this measure as Fact_Table.Sales
2. Special_Product_Sales
in the cube I specify an olap expression in the mapping as
     case
     when Fact_Table.Special_Product_Flag = 'Y' then Fact_Table.Sales else 0 end
Now is the measure      Special_Product_Sales treated as a calculated measure ?

Here are definitions of base versus calculated measures.
<li> A base measure is a measure that has associated physical storage in the AW. This physical storage is populated using some kind of load step, which may use either SQL or OLAP DML. The measure may then be aggregated according to the aggregation rules of the cube. The value of a base measure for any given cell in the cube may be stored or may be calculated dynamically depending on the "precomputation" rules of the cube.
<li> A calculated measure is one that has no physical storage in the AW. The values of a calculated measure are always calculated dynamically regardless of the precomputation rules of the cube.
Your case is clearly a base measure because you are physically loading data into the AW. The fact that you use a case expression in the mapping does not change the fact that is takes up physical storage nor the fact that it can be aggregated. It is the ability to aggregate the data that makes this a useful feature. In your case you will be able to aggregate special_product_sales up the product hierarchy so that its value for 'ALL_PRODUCTS' will be
select sum(sales)
from fact_table
where Special_Product_Flag = 'Y'The value of sales for 'ALL_PRODUCTS', by contrast, would be
select sum(sales)
from fact_tableAs a side note it may be better to define your mapping using NULL instead of 0.
case
when Fact_Table.Special_Product_Flag = 'Y'
then Fact_Table.Sales
else null
end

Insert SSAS Cube records measure and dimensions to relational table

Hi,
I need to retrieve one measure with a couple of its related dimensions from an ssas cube and have it stored in SQL table. How could this be done?
In order to read data from cube and insert into SQL relational table
this thread says to use openquery but states that it will only work if there are measures on the columns
and no dimensions on columns.
Is there a way to query a measure with a couple of its related dimensions
in MDX using openquery? Or any other way to query the cube to get these into SQL?
(Or should I better get the data from the base SQL tables which the cube is built from?)
Thanks for advising
Namnami

Hi Namnami,
Sure Darren Gosbell thread will help you, you can try below things.
You can get more info on
this link
Basically to write SQL+MDX combined we have to create link server from where we want data to combine with SQL. To create link server you need to have Admin access to the SQL Server.
IF IS_SRVROLEMEMBER ('sysadmin') = 1
print 'Current user''s login is a member of the sysadmin role'
ELSE IF IS_SRVROLEMEMBER ('sysadmin') = 0
print 'Current user''s login is NOT a member of the sysadmin role'
ELSE IF IS_SRVROLEMEMBER ('sysadmin') IS NULL
print 'ERROR: The server role specified is not valid.'
Above Query returns the whether you have admin admittance to the server or not to create Link Server.
More Details on Hybrid Query-
USE
AdventureWorksDW2008R2
GO
EXEC
sp_addlinkedserver
@server='Test',
@srvproduct='',
@provider='MSOLAP',
@datasrc='localhost',
@catalog='Adventure Works DW 2008R2'
Declare @MDXExpression as Varchar(MAX)
Select @MDXExpression =
SELECT
NON EMPTY
[Measures].[Sales Amount]
,[Measures].[Standard Product Cost]
,[Measures].[Tax Amount]
,[Measures].[Total Product Cost]
} ON 0,
NON EMPTY
[Sales Channel].[Sales Channel].[Sales Channel]
} ON 1
FROM
[Adventure Works]
Exec ('SELECT * INTO ##TestTemp FROM OpenQuery(TestTest1,''' + @MDXExpression + ''')')
SELECT
CONVERT(varchar,t."[Sales Channel].[Sales Channel].[Sales Channel].[MEMBER_CAPTION]") AS [Date],
(CONVERT(nvarchar,t."[Measures].[Sales Amount]")) AS [Sales Amount],
(CONVERT(nvarchar,t."[Measures].[Standard Product Cost]")) AS [Standard Product Cost],
(CONVERT(nvarchar,t."[Measures].[Tax Amount]")) AS [Tax Amount],
(CONVERT(nvarchar,t."[Measures].[Total Product Cost]")) AS [Total Product Cost]
from
##TestTemp t
--DRop Table ##TestTemp
Query Execution-
1-
So above query first creates liked server with named as 'Test'.
2-
After that MDX query executed on linked server where we have kept the MDX query in MDXExpression variable.
3-
Using OpenQuery function data gets dump in to ##TestTemp table.
4-
Finally we get the data from ##TestTemp table.
Thanks,
Mark as Answer if this resolves your problem or "Vote as Helpful" if you find it helpful.
My Blog
Follow @SuhasKudekar

[Forum FAQ] How do I create calculated measure using AMO in SQL Server Analysis Services?

Introduction
In SQL Server Analysis Services (SSAS), you can create a calculated measure in SQL Server Data Tool (SSDT)/Boniness Integrated Development Studio (BIDS). Sometimes you may need to create calculated measure by using AMO in a C# or VB project.
In this article, I will demonstrate so how to create calculated measure using AMO in SSAS?
Prerequisites
Before create calculated measure using AMO, you need to ensure that the following components were installed in your server.
The multidimensional database AdventureWorks Multidimensional Model 2012
A SQL Server with SSIS and SSAS installed
The AMO libraries installed:
X86 Package (SQL_AS_AMO.msi)
X64 Package (SQL_AS_AMO.msi)
Solution
Here is the detail steps to create calculated measure using AMO in SSAS.
Open SSDT and create a new SSIS project.
Drag Script Task to the design surface.
Click SSIS-> Variables to open the Variables window and add two variables that used to connect to the server and database.
Create a connection to connect to SSAS server.
Rename the connection name to ssas.
Double click the Script Task to open Script Task Editor.
Add Connection and Database variables to ReadWriteVariables textbox and then click Edit Script button.
Add AMO reference in the Solution Explore window.
Copy the script below and paste it into the script.
Dim objServer As Server
Dim objDatabase As Database
Dim strDataBaseID As String
Dim objCube As Cube
Dim objMdxScript As MdxScript
Dim objCommand As Command
Dim strCommand As String
objServer = New Server
objServer.Connect("localhost")
objDatabase = objServer.Databases("AdventureWorksDW2012Multidimensional-EE2")
strDataBaseID = objDatabase.ID
If objDatabase.Cubes.Count > 0 Then
objCube = objDatabase.Cubes("Adventure Works")
If objCube.MdxScripts.Count > 0 Then
objMdxScript = objCube.MdxScripts("MdxScript")
objMdxScript = objCube.MdxScripts(0)
Else
objCube.MdxScripts.Add("MdxScript", "MdxScript")
objMdxScript = objCube.MdxScripts("MdxScript")
End If
objCommand = New Command
strCommand = "CREATE MEMBER CURRENTCUBE.[Measures].[Multipy Measures By 3]"
strCommand = strCommand & " AS [Measures].[Internet Sales Amount] * 3, "
strCommand = strCommand & " VISIBLE = 1 ; "
objCommand.Text = strCommand
objMdxScript.Commands.Add(objCommand)
objMdxScript.Update()
objCube.Update()
End If
objServer.Disconnect()
Then you can run this SSIS package to create the calculated measure.
Applies to
Microsoft SQL Server 2005
Microsoft SQL Server 2008
Microsoft SQL Server 2008 R2
Microsoft SQL Server 2012
Please click to vote if the post helps you. This can be beneficial to other community members reading the thread.

Thanks,
Is this a supported scenario, or does it use unsupported features?
For example, can we call exec [ReportServer].dbo.AddEvent @EventType='TimedSubscription', @EventData='b64ce7ec-d598-45cd-bbc2-ea202e0c129d'
in a supported way?
Thanks! Josh

SSRS with calculated dimension members SSAS

Hello everybody,
I have an interesting scenario involving a SSRS report with a matrix connected to a SSAS cube containing calculated dimension members.
One of the parameters is "Reference Week". Based on that parameter, I need the measures for the previous 5 weeks.
So I created an anchor dimension "Analysis Weeks" with the members "Week -1" to "Week -5".
Everything is working fine. The only problem is the names of the columns on the report.
Currently I have "Current Week", "Week -1", etc. as column names, I'd like to show the real dates.
For example, if I choose "2014-02-15" as the reference week, I want the first column to show "2014-02-15" instead of "Current Week". The second would show "2014-02-08" instead of "Week -1", etc.
I tried to get the current column position in the matrix, which I could use the with @ReferenceWeek parameter, but I can't access that property.
Any suggestion?
Thanks

If I understand correctly, your column group is on "Analysis Weeks", is that right? If so just get the value of that field and use it to get the dates.
=DateAdd("d",-1*CInt(Right(Fields!AnalysisWeeks.Value,1))*7,Fields!ReferenceWeek.Value)
"You will find a fortune, though it will not be the one you seek." -
Blind Seer, O Brother Where Art Thou
Please Mark posts as answers or helpful so that others may find the fortune they seek.

Hiding measures in SSAS 2012

Hi all,
I've create a cube in SSAS and deployed and it works fine. Part of my requirements is to then suppress this data and I have been able to do this using calculated measures as I need to, by placing stars to suppress small values and doing rounding to the nearest
five for other values. I do all this on the development server and the next step is to move it to the publication server so that it can used by people. This issue I have is hiding the initial, un-suppressed measures.
I've looked at other posts in order to do this I have tried using a perspective and I have tried changing the properties of each measure so the Visible flag is set to false however this gets only gets me half way there. The concern is that people will still
be able to access this data as it still exists in the cube, even though it is hidden, and could therefore gain access to it and the un-suppressed figures.
Is there any way after the cube and calculated measures have been created to remove the measures from the cube and just leave the calculated suppressed figures behind, or any way to tell SSAS to process the calculated measures based on the raw measures but
to not process the raw measures in to the cube?
I can't suppress in the raw data as the data is pretty much all ones meaning that the measure table would be a bunch of stars and so unusable to SSAS.
Thanks very much for help and time.

Hi B,
If you remove the suppressed numbers from the cube, the numbers won't add up.
One trick that might be useful to you is cell level security by checking the "Enable read permissions" under the "Cell Data" tab. The syntax for the read permissions is quite simple, for example.
Measures.RawValue > 1000
This way, the user can see "everything" in the cube, but if they drill down to any cell that has less than, say 1000, they will see nothing. As they move up to less granular data they will see the aggregated numbers.
Hope that helps,
Richard

How to Zero Debt After Account Closure Date in MDX Calculated Measure

Thanks in advance to anyone who can help me with the below problem.
I’m building a Finance cube, it holds all customers we have billed and any cash received against their debt. I have a few calculated measures that work out Total Debt, Total Cash. From these I have a calculated measure called Total Debt Outstanding which
is (Total Debt - Total Cash)
My problem, when an account is closed the debt is not always zero. We don’t always get all the cash to cover the debt so just write off the outstanding debt. I have a requirement to zero out the debt after closure date has passed.
If I look at the calculated measure [Total Debt Outstanding] today for all accounts it will include debt figures from closed accounts, I need the calculated measure
[Total Debt Outstanding] to ignore this and not to inflate my current debt figure.
Example
Account 12345, Debt £3142 added on 15/03/2013, Cash £1,687
received on 12/12/2013, Total Debt Outstanding £1107. The Account closed on 15/12/2013 with a balance of £1107, after the closure date I need the total Debtor outstanding figure to be £0 if you browse the cube with my date dimension.
My date dimension Hierarchies is Year-Quarter-Month-Day
I have tried using the Scope function to Zero the Total Debt Outstanding figure after closure date but can’t get it to work.
My scope calculation is below:
Scope([Measures].[Total Debt Outstanding]);
This = IIF([Date].[Year-Quarter-Month-Day].Currentmember > [ClaimData].[Closed].[Closed].Currentmember,0,[Measures].[Total Debt Outstanding]);
End Scope;
My Account Opening and Closing dates are in my ClaimData fact table, with Opening Date linked to the date dimension. I can’t link Closing date as we don’t always have a closing date until the account closes, so SSAS errors.
Many Thanks

Hi,
Try compare key value of members. For example,
[Date].[Year-Quarter-Month-Day].Currentmember.Properties("key") > [ClaimData].[Closed].[Closed].Currentmember.Properties.("key")
And think about UnknownMember in Date dimension. In this case you can link Closing date
Best regards,
Aleksandr Severin

Different aggregation operator for two measures in single cube

Hi,
I have three measures age_month and age_year,pages for which aggregation operator should be like this
for age_month and age_year
time - max
account - sum
sales org - sum
for pages
time - sum
account - sum
sales org - sum
I am creating MOLAP cube in OWB and deploying to AWM. I can create above structure in OWB but when I deploy it to AWM I see that for all the dimensions and all the measures aggregation operator as sum. Off course I can change the aggregation operator at cube level but it make changes to all underlying measures too.
Also I can see in XML of the cube and see the operator for two measures is as max but UI shows as sum. After load also I am seeing in report it is calculating as sum instead of max along time dimension.
Any help would be highly appreciated.
Thanks
Brijesh

If you have an existing cube (already defined and aggregation setup) then modifying the aggregation behavior like changing order of dimensions/aggregation operators is not very robust (likely to fail due to inability of internal objects to sync up to modified defintion). Its always better to take a backup of cube definition and drop/rebuild a fresh cube with new dim order/agg operators.
How can you have a compressed cube and also set the aggregation property per dimension?
I was under the impression that if it is a compressed cube, then not only is there a restriction that all measures have same aggregation properties (defined at cube level) but also the aggregation behavior defined at cube level should use the same operator (note: any one operator out of sum or max or min) for all dimensions.
Edited by: Shankar S. on Dec 19, 2008 11:54 AM
Perhaps this additional restriction is only required if we intend to use the Cube as a source for relational queries using Cube organized MVs.
Another way to do this is given below:
I'm assuming that when you say that you require Max along Time and Sum along other dimensions, you mean that you want LAST (chronological) along time at leaf level and SUM along other dimension. Also assuming that Time hierarchy has the following levels: DAY, MONTH, QUARTER, YEAR. Big assumption :) as finding out Max along time requires the help of the fact/measure whereas finding out last along time requires us to use the dimension (along with dimension metadata) alone.
Define 1 Cube: Cube1 ... Structure: Compressed Composite, datatype: DECIMAL
Set Aggregation: SUM along all dimensions
Create 3 stored measures ( age_m_sto, age_y_sto and pages)
You may want to set description for age_m_sto/age_y_sto as "******** INTERNAL: DO NOT USE ******** Stored Measure used for age_month/age_year"
Create 2 calculated measures - age_month and age_year defined as follows ...
olap expresssion to be given in AWM:
<age_month>: OLAP_DML_EXPRESSION('cube1_age_m_sto(time if time_levelrel eq ''DAY'' then time else statlast(limit(time to bottomdescendants using time_parentrel time(time time))))', DECIMAL)
<age_year>: OLAP_DML_EXPRESSION('cube1_age_y_sto(time if time_levelrel eq ''DAY'' then time else statlast(limit(time to bottomdescendants using time_parentrel time(time time))))', DECIMAL)
NOTE: The caculated measure performs the LAST along time action using the stored measure. For every higher level time dimension member, it reaches along the dimension to the last leaf level member and reads the stored measure for that lowest level time member.
Map and Maintain Cube.
From the SQL Cube View: Use only the columns corresponding to stored measure: pages and calculated measures: age_month, age_pages (ignore columns corresponding to age_m_sto, age_y_sto)
HTH
Shankar

Powerview modifying a calculated measure in SSAS cube

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