Named Query impacting SSAS Cube Performance

HI,
I have created a Named Query that impacts the Cube Processing and its performance. Can anyone please suggest how can we replace named query with any other logic.
Thanks

Hello,
if the data source is SQL Server then you could use the named query statement to create a view there; but it won't change the performance of the query. So check the execution plan of the query to see if you could improve it.
Olaf Helper
[ Blog] [ Xing] [ MVP]

Similar Messages

Query accessing SSAS cube is taking more time in power view report

Hi,
My SSAS server is having 16 Core's . I have created a power view in sharepoint site, which is accessing ssas cube.
The report is taking more time to show the result. I traced the DAX query using SQL Server profiler. When I ran this DAX query in SSAS server directly, then its taking less time but when the same query running from sharepoint server (power view) , it
is taking more time. Number of records in the fact table is 300M .
Also i tracked the %process time in performance monitor, mostly the line is below 20%. I think the CPU is not fully utilized..
Could you please help me to improve the performance of my report.
Regards,
Arun

Hi Arun,
According to your description, you create a PowerView report in SharePoint site connect to SSAS cube, the problem is that it take long time to show the result in the report, now you want to improve report performance, right?
In your scenario, you said that it takes more time to return the result in PowerView report than run the query directly in SSMS. For a report, its run time contain retrieval data time and render report time. So it takes more time to return the result in
PowerView report than run the query directly in SSMS. And there are 300M records in the fact table, the performance can be caused by large data. Here is a blog which describes tracks down Power View performance problems.
http://blogs.msdn.com/b/psssql/archive/2013/07/29/tracking-down-power-view-performance-problems.aspx
Regards,
Charlie Liao
TechNet Community Support

How to create olap cube using Named Query Table in Data source View

I Create on OLAP Cube using Existing Tables Its Working Fine But When i Use Named Query Table with RelationShip To other Named query Table It Not Working .So give me some deep Clarification On Olap Cube for Better Understanding
Thanks

Hi Pawan,
What do you mean "It Not Working"？ As Kamath said, please post the detail error message, so that we can make further analysis.
In the Data Source View of a CUBE, we can define a named query. In a named query, you can specify an SQL expression to select rows and columns returned from one or more tables in one or more data sources. A named query is like any other table in a data source
view (DSV) with rows and relationships, except that the named query is based on an expression.
Reference:Define Named Queries in a Data Source View (Analysis Services)
Regards,
Charlie Liao
TechNet Community Support

Cache and performance issue in browsing SSAS cube using Excel for first time

Hello Group Members,
I am facing a cache and performance issue for the first time, when I try to open a SSAS cube connection using Excel (using Data tab -> From Other Sources --> From Analysis Services) after daily cube refresh. In end users
system (8 GB RAM), for the first time, it takes 10 minutes to open the cube. From next run onwards, its open up quickly within 10 secs.
We have daily ETL process running in high end servers. The configuration of dedicated SSAS cube server is 8 core, 64GB RAM. In total we have 4 cubes - out of which for 3 is full cube refresh and 1 is incremental refresh. We have seen after
daily cube refresh, it takes 10 odd minutes to open the cube in end users system. From next time onwards, it opens up really fast with 10 secs. After cube refresh, in server systems (16 GB RAM), it takes 2 odd minutes to open the cube.
Is there, any way we could reduce the time taken for first attempt ?
Best Regards, Arka Mitra.

Thanks Richard and Charlie,
We have implemented the solution/suggestions in our DEV environment and we have seen a definite improvement. We are waiting this to be deployed in UAT environment to note down the actual performance and time improvement while browsing the cube for the
first time after daily cube refresh.
Guys,
This is what we have done:
We have 4 cube databases and each cube db has 1-8 cubes.
1. We are doing daily cube refresh using SQL jobs as follows:
<Batch xmlns="http://schemas.microsoft.com/analysisservices/2003/engine">
<Parallel>
<Process xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ddl2="http://schemas.microsoft.com/analysisservices/2003/engine/2" xmlns:ddl2_2="http://schemas.microsoft.com/analysisservices/2003/engine/2/2" xmlns:ddl100_100="http://schemas.microsoft.com/analysisservices/2008/engine/100/100" xmlns:ddl200="http://schemas.microsoft.com/analysisservices/2010/engine/200" xmlns:ddl200_200="http://schemas.microsoft.com/analysisservices/2010/engine/200/200">
<Object>
<DatabaseID>FINANCE CUBES</DatabaseID>
</Object>
<Type>ProcessFull</Type>
<WriteBackTableCreation>UseExisting</WriteBackTableCreation>
</Process>
</Parallel>
</Batch>
2. Next we are creating a separate SQL job (Cache Warming - Profitability Analysis) for cube cache warming for each single cube in each cube db like:
CREATE CACHE FOR [Profit Analysis] AS
{[Measures].members}
*[TIME].[FINANCIAL QUARTER].[FINANCIAL QUARTER]
3. Finally after each cube refresh step, we are creating a new step of type T-SQL where we are calling these individual steps:
EXEC dbo.sp_start_job N'Cache Warming - Profit Analysis';
GO
I will update the post after I receive the actual im[provement from UAT/ Production environment.
Best Regards, Arka Mitra.

Performance issue in browsing SSAS cube using Excel for first time after cube refresh

Hello Group Members,
This is a continuation of my earlier blog question -
https://social.msdn.microsoft.com/Forums/en-US/a1e424a2-f102-4165-a597-f464cf03ebb5/cache-and-performance-issue-in-browsing-ssas-cube-using-excel-for-first-time?forum=sqlanalysisservices
As that thread is marked as answer, but my issue is not resolved, I am creating a new thread.
I am facing a cache and performance issue for the first time when I try to open a SSAS cube connection using Excel (using Data tab -> From Other Sources --> From Analysis Services) after daily cube refresh. In end users system (8 GB RAM but around
4GB available RAM), for the first time, it takes 10 minutes to open the cube. From next run onwards, its open up quickly within 10 secs.
We have daily ETL process running in high end servers. The configuration of dedicated SSAS cube server is 8 core, 64GB RAM. In total we have 4 cube DB - out of which for 3 is full cube refresh and 1 is incremental refresh. We have seen after daily cube
refresh, it takes 10 odd minutes to open the cube in end users system. From next time onwards, it opens up really fast with 10 secs. After cube refresh, in server systems (32 GB RAM, around 4GB available RAM), it takes 2 odd minutes to open the cube.
Is there, any way we could reduce the time taken for first attempt ?
As mentioned in my previous thread, we have already implemented a cube wraming cache. But, there is no improvement.
Currently, the cumulative size of the all 4 cube DB are more than 9 GB in Production and each cube DB having 4 individual cubes in average with highest cube DB size is 3.5 GB. Now, the question is how excel works with SSAS cube after
daily cube refresh?
Is it Excel creates a cache of the schema and data after each time cube is refreshed and in doing so it need to download the cube schema in Excel's memory? Now to download the the schema and data of each cube database from server to client, it will take
a significant time based on the bandwidth of the network and connection.
Is it anyway dependent to client system RAM ? Today the bigest cube DB size is 3.5 GB, tomorrow it will be 5-6 GB. Now, though client system RAM is 8 GB, the available or free RAM would be around 4 GB. So, what will happen then ?
Best Regards, Arka Mitra.

Could you run the following two DMV queries filling in the name of the cube you're connecting to. Then please post back the row count returned from each of them (by copying them into Excel and counting the rows).
I want to see if this is an issue I've run across before with thousands of dimension attributes and MDSCHEMA_CUBES performance.
select [HIERARCHY_UNIQUE_NAME]
from $system.mdschema_hierarchies
where CUBE_NAME = 'YourCubeName'
select [LEVEL_UNIQUE_NAME]
from $system.mdschema_levels
where CUBE_NAME = 'YourCubeName'
Also, what version of Analysis Services is it? If you connect Object Explorer in Management Studio to SSAS, what's the exact version number it says on the top server node?
http://artisconsulting.com/Blogs/GregGalloway

Performance of my query based on cube ? and ods?

hi all,
how to identify the performance of my query based on a cube nor ods. I have requirement which enables to do flat file extraction and the extraction is only once and the records are less too. I need to sort whether my query will be faster based upon cube nor on ods.
Can anyone let me know how to measure the performance of my query based upon cube and ods and how to find out which one will be faster. bcos i need to explain them the entire process of going to load the data directly to ods and do reporting from there nor data loaded directly to cube and do reporting from cube.
thanxs
haritha

Hi,
ODS is 2 Dimensional so avoid reporting on ODS,
Cube is MultiDim, for analysis perpose we can go reporting on Cube only
Records in ODS are Overwritten whereas in Cube records are Aggregated
and can also do compression on Cube, which will increase the query performance and so data retrieval in cube is faster
Thanks

Adding a Descendents Query to a Cube

Hi,
I have the following MDX query that I wish to add to a cube:
with member [measures].[descendents test] as
sum
   Descendants ([Date].[Calendar Year],, LEAVES) *
   Descendants ([Date].[Calendar Quarter of Year],, LEAVES) *
   Descendants ([Date].[Calendar Week of Year],, LEAVES) *
   Descendants ([Product].[Category],, LEAVES) *
   Descendants ([Product].[Subcategory],, LEAVES) *
   Descendants ([Product].[Product],, LEAVES)
            ([Measures].[Internet Sales Amount] * [Measures].[Internet Tax Amount])
) / [Measures].[Internet Freight Cost]
select [measures].[descendents test] on columns,
[Date].[Calendar Year].children on rows
from [Adventure Works]
What's the best way to add a descendents query to a cube? I don't think I should include the Calendar Dimension as the cube has multiple Calendar Hierarchies that I want the calculation to use if selected. Essentially the calculation should do the calculation
at the lowest level even when it's rolled up to a higher level.
Any help and direction would be greatly appreciated.

Hi Silverarrows,
What do you mean by "Add query to a cube"? If you want to add the calculation to the cube, then we can add it in the Calculations tab in the cube designer in BIDS. A calculation is nothing but an MDX expression or script which is used to define
a calculated member, a named set, or a scoped assignment in a cube. For the detail information about how to do it, please refer to the links below.
http://www.sqlservergeeks.com/blogs/AmitK/sql-server-bi/65/sql-server-implementing-calculations-in-ssas-using-mdx-part1
http://www.purplefrogsystems.com/blog/2011/01/how-to-add-calculations-in-ssas-cubes/
http://msdn.microsoft.com/en-IN/library/ms145492.aspx
If I have anything misunderstand, please point it out and elaborate your requirement, so that you can get more help.
Regards,
Charlie Liao
TechNet Community Support

Dimension Security causing SSAS cube to slow down

Hi,
Experiencing problems with with the SSAS cube once its processed. Sometimes takes around 20 mins for the excel to load once you drag down any dimension.The cube has got no calc scripts/named sets etc.It has around 17 dimensions and one dimension(Employer)
has got 46 attributes and another (member)17.Others are pretty small.The Employer dimension is used twice as role playing and the both employer/member have got dimension security applied to it.There are about 6 roles have been set up to restrict access to
members in these dimensions.
The SQL profiler shows multiple "Query Dimension" (mostly for Employer dimension)followed by a lot of "Calculate Non Empty Current"s .Suspect that the delay is due to the dimension security expression evaluation.This only happens
during first access of the cube within a role and it's relatively quick when I'm accessing via a role which doesn't have dimension security applied to it.Is there anyway to automatically trigger this process right after the cube has been processed so that
it doesn't cause agony to the first user?

You could build a cache warmer that connects with EffectiveUserName=YourDomain\user1 on the connection string and loop through each user. But what is your dimension security expression? Maybe we can speed it up.
http://artisconsulting.com/Blogs/GregGalloway

Slow parameter from SSAS cube

Hi,
I've got a SSRS report which use a SSAS cube as source. In the report there are 5 parameters which are build in the Report builder 3.0 using the designer. The report server is a SQL server 2008 R2 with the latest updates.
The issue that I am having is when running the report if I would like to choose another value from one of my parameters then I open the parameters (drop-downbox)and select another value in the box - then it's like the drop-down box hangs for 3-4
seconds when I click out of the box before the value is appearing in the report, when I use the Report builder Tool. If I do the same in IE then the reports render for 10-15 seconds each time a new value is choosen.
Any Idea how to improve this?
The Parameter consist of only 5-6 values and it performs very fast if I execute the Query in the designer
I've attached the Query as it looks like for the parameter(hidden dataset):
WITH MEMBER [Measures].[ParameterCaption] AS [Company].[Company Name].CURRENTMEMBER.MEMBER_CAPTION MEMBER [Measures].[ParameterValue] AS [Company].[Company Name].CURRENTMEMBER.UNIQUENAME MEMBER [Measures].[ParameterLevel] AS [Company].[Company Name].CURRENTMEMBER.LEVEL.ORDINAL
SELECT {[Measures].[ParameterCaption], [Measures].[ParameterValue], [Measures].[ParameterLevel]} ON COLUMNS , [Company].[Company Name].ALLMEMBERS ON ROWS FROM ( SELECT ( STRTOSET(@ReportingCurrencyReportingCurrency, CONSTRAINED) ) ON COLUMNS FROM [SALES])
(the issue is the same for all my parameters)

Hi HCMJ,
In your scenario, you said that "the reports render for 10-15 seconds each time a new value is choosen".
Report server performance is affected by a combination of factors that include hardware, number of concurrent users accessing reports, the amount of data in a report, and output format.
To find out how long it takes to process a report and which process phase take more time, we can review the report server execution log. We can use the report execution log to find out how often a report is requested, what formats are used the most, and
how many milliseconds of processing time is spent on each processing phase.
In addtional, i'd suggest you enable SQL Sever profiler to monitor the queries fired by the report, once you find some queries took a very long time to run, consider creating the smaller cube partition or optimzing the query by adding index or
partition to improve the query performance.
Regards,
Charlie Liao
TechNet Community Support

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

SSRS Date parameter - current month from SSAS cube

I have a SSAS cube with a date dimension called Posting Period and now I would like to have my report parameter using this date dimension to show the current month.
So far I have worked out the following expression which are working(Fiscal year calendar going from May to May) for the year component - but I can't figure out how to get it to work on Quarter date part (and the month) so as you can see
the Quarter and month is hardcoded in the below expression:
="[PostingPeriod].[Posting Period].[Year].&[" + CStr(Year(Today())-1) + "].&[Q4].&[10]”
Any help would be appriciated.
Tx

Hi HCMJ,
In your scenario, you use the expression
="[PostingPeriod].[Posting Period].[Year].&[" + CStr(Year(Today())-1) + "].&[Q4].&[10]”
to set the default value of the parameter and then use it in the MDX query, right?
If in this case, you can use the expression below
="[PostingPeriod].[Posting Period].[Year].&[2013].&[Q" & DatePart(DateInterval.Quarter,today()) & "].&[10]”
to set the value on Quarter date part.
And it returns:
If I have anything misunderstood, please point it out and elaborate the meaning of "but I can't figure out how to get it to work on Quarter date part (and the month) so as you can see the Quarter and month is hardcoded
", so that we can make further analysis.
Regards,
Charlie Liao
TechNet Community Support

Snowflake dimension: named query vs. database view

A test question features a Product table with a Product Size code; Product Size description is taken from ProductSize table. As far as I can tell, the question asks me to choose between (a) setting up a database view joining Product and ProductSize, and
(b) doing the join in a data-source-view named query. I don't see a clear winner. (My thinking is as follows. Yes, he view would speed up the processing, even if not materialized. On the other hand, with a small dataset, the performance gain would be
minor in absolute terms. Do I want to have an extra database object in the picture?) Yet the question's author does. Can anyone advise please?

Hi Demyan,
According to your description, you want to know which is better, using named query in datasource view or using database view, right?
Based on my research, there is no performance differences between using named query in datasource view and using database view because they both result in SQL query being sent to the source system. Here is a blog which discuss this issue.
Consistency: If you already have logic in database views, I would continue to use them. As long as you know that you go to one spot to view/change the logic. Putting the logic in 2 different spots could lead to confusion.
Security Permissions: often you may not have permission to alter the source databases, in this case you have no choice but to setup named queries in the dsv.
Reference
http://geekswithblogs.net/darrengosbell/archive/2006/09/05/90278.aspx
http://bennyaustin.wordpress.com/2013/07/16/dbview/
Regards,
Charlie Liao
TechNet Community Support

Problem with a query on Remote Cube

Hi,
We are working on Remote cube, which has a source from a view built on R/3 base table. I need to extract the data to BW based on a current date due to huge volume of data(performance reasons) in the table. I have used an exit on R/3 to restrict to current date but the extract checker was showing the valid data ie only for current date when i had built a query on Remote cube, the Report was showing complete data(restriction not working). We have even tried using an inversion routine in transfer rules to pass the selections to the Source system even then it doesn't work. Could you help if you have come across same kind of situation or you can suggest an alternate solution on the same but we have to use Remote cube.
Any suggestions asap would be highly appreciated and rewarded with full points.
Regards,
Raj

Could you check the BLOB really contains UTF-8 encoded XML?
What's your database character set?The BLOB contains UTF-8 Encoded
and the database where i am connectes have AL32UTF8 character set, but my internal instance have "AMERICAN_AMERICA.WE8ISO8859P1"
that is a problem?
How could I change the character set of the oracle local client to the character set of the remote oracle data base?

Remote Cube Performance

Hello BW Experts,
1) Is it advisibe to use remote cubes ( not for the user purpose, but for internal data reconciliation purpose). ?
2) tables we are looking at are the vbak, vbap, vbrk, vbrp from SAP and comparing them to the base Sales and billing ODS. And produce a reconciliaiton report. Since the data in the source tables vbap, vbrp is huge, it gives memory dumps. Is there any better way of using this. Any suggestion to get solve the memory dump?
3) Are there any measures to improe remote cube performance
4) Other than the remote cube is there any other way of doing the reconciliation for the above data
Any suggestions appreciated.
Thanks,
BWer

Hi BWer,
Remote cube performance is really an issue.
Instead, you can load data upto PSA and compare them.
There is a "How to... Validate InfoCube Data By Comparing it with PSA Data":
http://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/com.sap.km.cm.docs/library/biw/g-i/how to validate infocube data by comparing it with psa data
You can also quickly build in R/3 a query upon those tables using SQ01 tcode and Quick Viewer button for comparison.
Best regards,
Eugene

Date parameter in report whose source is SSAS cube shows all dates in DimDate?

My cube consists of a FactTable that has a foreign key to [DimDate], through column [DateKey]. My DateKey has dates from
20010101 to 20201231. My fact table only has data from today (20141017).
In SSRS, I add the dimension Dim Date, Date Key as parameter. When I run the report, everything runs great, the only problem being that the date dropdown shows all the
DateKeys from [DimDate] (20010101 to 20201231).
How can I only show in the dropdown parameter only the DateKeys that have actual data? In this case, the parameter would only only display 20141017.
Thanks.
VM

Thanks, but I don't think you read the whole question.
I'm using as datasource an SSAS cube. The query that populates the parameter looks like this:
WITH MEMBER [Measures].[ParameterCaption] AS [Dim Date].[Date Key].CURRENTMEMBER.MEMBER_CAPTION MEMBER
[Measures].[ParameterValue] AS [Dim Date].[Date Key].CURRENTMEMBER.UNIQUENAME MEMBER
[Measures].[ParameterLevel] AS [Dim Date].[Date Key].CURRENTMEMBER.LEVEL.ORDINAL
SELECT {[Measures].[ParameterCaption], [Measures].[ParameterValue], [Measures].[ParameterLevel]} ON COLUMNS ,
[Dim Date].[Date Key].ALLMEMBERS ON ROWS FROM [Sales cube]
VM

Named Query impacting SSAS Cube Performance

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