SSAS Dimension Browsing Is Slow
May 19, 2008
Hello,
I've run into a problem building a new olap cube. It's taking 15 minutes or more when pulling on a dimension before I've even pulled on any measures. This happens in Excel as well as Management Studio. When it does display it seems to only show dimension members that it has data for. In addition, running profiler seems to indicate that it queries each of my partitions when it's doing this. I know that in my last cube if you pulled on a dimension, no members would show up yet and it would be fast. However I can't seem to find the property that's telling it not to query the partitions to determine what members to show. Any ideas?
~Grant
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Dec 15, 2007
I am trying to perform an incremental (ProcessAdd) load on a dimension using SSIS and the Dimension Processing data flow component. Whenever I try the load it fails with the following error:
The PrimeOutput method on component "OLE DB Source" (1) returned error code 0xC02020C4
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1055719414,0x,Parser: An error occurred during pipeline processing.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1055719414,0x,Internal error: The operation terminated unsuccessfully.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1055719414,0x,Errors in the OLAP storage engine: An error occurred while the 'ORDER LINE STATUS' attribute of the 'DIM ORDER LINE' dimension from the 'ACRDvel' database was being processed.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1055719414,0x,Errors in the OLAP storage engine: An error occurred while the dimension, with the ID of 'Q DIM ORDER LINE', Name of 'DIM ORDER LINE' was being processed.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1055719414,0x,Errors in the high-level relational engine. The data source view does not contain a definition for the 'Q_DIM_ORDER_LINE' table or view. The Source property may not have been set.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1055719414,0x,Internal error: The operation terminated unsuccessfully.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1073450974,0x,SSIS Error Code DTS_E_PROCESSINPUTFAILED. The ProcessInput method on component "Dimension Processing" (112) failed with error code 0x80004005. The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running. There may be error messages posted before this with more information about the failure.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:44 PM,12/14/2007 7:44:44 PM,-1073450975,0x,SSIS Error Code DTS_E_THREADFAILED. Thread "WorkThread0" has exited with error code 0x80004005. There may be error messages posted before this with more information on why the thread has exited.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:46 PM,12/14/2007 7:44:46 PM,-1071636284,0x,The attempt to add a row to the Data Flow task buffer failed with error code 0xC0047020.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:46 PM,12/14/2007 7:44:46 PM,-1073450952,0x,SSIS Error Code DTS_E_PRIMEOUTPUTFAILED. The PrimeOutput method on component "OLE DB Source" (1) returned error code 0xC02020C4. The component returned a failure code when the pipeline engine called PrimeOutput(). The meaning of the failure code is defined by the component, but the error is fatal and the pipeline stopped executing. There may be error messages posted before this with more information about the failure.
OnError,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:46 PM,12/14/2007 7:44:46 PM,-1073450975,0x,SSIS Error Code DTS_E_THREADFAILED. Thread "SourceThread0" has exited with error code 0xC0047038. There may be error messages posted before this with more information on why the thread has exited.
OnInformation,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:46 PM,12/14/2007 7:44:46 PM,1074016264,0x,Post Execute phase is beginning.
OnInformation,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:46 PM,12/14/2007 7:44:46 PM,1074016265,0x,Cleanup phase is beginning.
OnInformation,*******,Package,{62F748F0-EFC6-4D7A-9873-B31144C54873},{6AA40F9D-7E89-4D68-B2CD-31A43EA6B80D},12/14/2007 7:44:46 PM,12/14/2007 7:44:46 PM,1074016267,0x,"component "Dimension Processing" (112)" wrote 756860 rows.
Apparently this translates to the error DTS_E_ADDROWTOBUFFERFAILED.
This incremental load is trying to add several hundred thousand rows and it appears to get to around 10K or so and then fail. I can't seem to find any KB articles related to this problem. Does anyone have a clue what may be happening here?
I do have an incremental load of the same type that is working but I am continually getting the following warning when the load is running:
"The buffer manager detected that the system was low on virtual memory, but was unable to swap out any buffers. 6 buffers were considered and 6 were locked. Either not enough memory is available to the pipeline because not enough is installed, other processes are using it, or too many buffers are locked."
My server has 8GB of memory and is running WS 2003 x64 and SSAS 2005 x64
TIA
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Oct 4, 2006
I have a have a relatively simple SSAS cube that I'm trying to display in a matrix but the order of the data is not correct. The rows of the matrix are a time hierarchy and the query designer produces the correct MDX and when I run the MDX in the data tab, the order is correct. However in the report preview tab, the order is incorrect. Specifically, the time hierarchy looks like this Year-Month-FullDate. The report is ordering the Months like this 1,10,11,12,2,3,4,5,6,7,8,9. I ran the MDX query in Sql Studio and the order is correct, and I used Excel to consume the same cube and it produces the correct order.
The report is somehow treating the Month like character data instead of numeric, how do I fix this?
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Jul 15, 2015
In my SSAS Cube I have created a dynamic named set "top 10 e-learnings by language" which consists out of a set of tuples. Each tuple has two attributes out of the same base dimension "training": attribute 1 is "sprache" (language) and attribute 2 is "training text".
CREATE DYNAMIC SET CURRENTCUBE.[Top 10 eTrainings pro Sprache]
AS Generate(
{ [Training].[Sprache].[Sprache].Members },
TopCount(
EXISTING { [Training].[Sprache].CurrentMember * [Training].[Training Text].[Training Text].Members },
10,
[Measures].[Teilnahmen eTraining]
)
), DISPLAY_FOLDER = 'Training' ;
Normally a named set would be automatically visible in Excel Pivot under the dimension you used to create the named set, but it seems that named sets with tuples which have more than one attribute are placed in a separate folder "Sets"Â in between the measures and dimensions.Additionally in the SSAS cube browser this named set is not visible at all.Is there any way to tell the named set in which dimension it should appear or any workaround?
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Mar 19, 2012
I am developing a BI solution on SQL Server 2008 R2 and how to handle multiple referances to the same dimension from a fact table!
Here is the scenario;
Fact_Contracts (# M)
ServiceProvider_CompanyID, Client_CompanyID, Amount_USDÂ
Dim_Company( hundreds)
ID, CityID, ProfessionID, CompanyName
Dim_City
ID, CityName
Dim_Profession
 ID, ProfessionName
As u can see there is two company references in my fact table, and the schema is in snowflake. My customer requirements state that the Contracts' amounts can be aggregated/filtered for/by, ServiceProviderCompany, its city/profession or ClientCompay, its city/profession.
First thing came in to my mind is to dublicate whole dimension structure (one for serviceproviders, one for clients), which i thought that there should be another way around?
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Jun 15, 2015
I am trying to implement data masking based on user login and not sure why this is not working. I have the dimensions DimBrand, DimProduct and DimUser. I should mask the BrandCode with 'XXXX' nothing but in the report all the BrandCode should appear but few of the code will be masked if the user is not belongs to that group. I have a fact table FactProduct in this. In the cube I created all these 3 dimensions and the fact table. I created a new dimension DimBrandMask and I separated the code over there with a relationship with the actual DimBrand dimension. In the cube a reference relationship is set up with the measure group. Created a role with read access.
In the dimension data tab of role I put the below MDX to allowed set.
NonEmpty([DimBrandMask].[Brand Code].Members, (StrToMember("[DimUser].[Login Name].[Login Name].[" + UserName() + "]") ,[Measures].[Dim User Count]))
And in Denied Member set i put the below MDX
IIF( (StrToMember("[DimUser].[Login Name].[Login Name].[" + UserName() + "]"), [DimUser].[Access Right].&[False]), NONEMPTY( [DimBrandMask].[Brand Code].Members,(StrToMember("[DimUser].[Login Name].[Login Name].["
+ UserName() + "]"), [DimUser].[Access Right].&[False], [Measures].[Dim User Count])),{})
Note I created one measure group from the DimUser table and the measure [Dim User Count] is used in the above query.
I am expecting some result like below
Brand     BrandCode          Count
Brand1Â Â Â Â Â b1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 6
Brand2 Â Â Â XXXXX Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 5
Brand3 Â Â Â XXXXX Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 10
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