i am currently trying to build a distinct count on my cube (mssql2005 analysis services).But after i added the discount count on the field i want to and start the processing, the following errors appear.Errors in the OLAP storage engine: The sort order specified for distinct count records is incorrect.
View 17 RepliesBackground: I have a Huge fact dimension table(table has both measures and dimensions) that i am using to build a SSAS Cube.
The table didn't have a unique identifier, so the database team added ROW NUM as a column to the table which i am using as a PrimaryKey in my Cube build. I was able to create a cube successfully with it without any issues.
Problem: Now customers are asking for a 'Claim Count calculation' which shows the Distinct Claim Count.
Its defined as below :
Count(Distinct Claim_Number || Claim Year || Claim Month)
. All the 3 columns are available in table, but when i am trying to create this Count Distinct Object in the DSV the Cube processing time increased by 5 times, as now i have to use a GroupBy function in my SQL.(There are around 30 columns to group by).
Is there a better way to achieve this Count(Distinct Claim_Number || Claim Year || Claim Month) without using groupBy in DSV SQL logic? I cant seem to find any Count(Distinct) function in the Cube Calculation functions?
Environment: SSAS 2012 Multidimensional Model
Hi,
I'm using sql server analysis services 2000, i have a problem with grand total when i select more than one member of any demension. the measure of this cube is built on a distinct count agregation function. i have only one measure in th cube
can some body help me !!
My requirement is to count the customer order number for premium order type orders which has some order quantity.I am using below MDX
count
(
Filter
(([Customer Order].[Dim Customer Orderkey].[Dim Customer Orderkey].members,
[Outbound Order Attributes].[Order Type].&[P]),[Measures].[Ordered, pcs]>0 ) ,
)
The result is accurate but the query execution time is 3-4 minutes for 10 fact records, when i use multiple dimension. it is showing me 0 valus for this measure for all the members for the dimesion attribute which doen't have any customer order. example it shows all the member of date dimension. is there any way to reduce the rows. i think this is the reason to take more execution time.when i use EXCCLUDEEMPTY the result is NULL
count
(
Filter
(([Customer Order].[Dim Customer Orderkey].[Dim Customer Orderkey].members,
[Outbound Order Attributes].[Order Type].&[C]),[Measures].[Shipped, pcs]>0 ) ,
EXCLUDEEMPTY)
I have the need to calculate a distinct count over a period of 3 years. I use the MDX
SUM([Year].[Year].CurrentMember.Lag(2):[Year].[Year].CurrentMember,[Measures].[CNT])
Which works fine for all my other calculations except this, where I need a distinct count. CNT is a calculated measure. The browser would look like this:
Category Year1
Year2 ..... MDX what I have now
MDX what I need
A A1
1 1 2 1
A2 1
0 1 1
A3 0
1 1 1
How can I achieve this?
I am doing a distinct count on a related table's column, but get an out of memory error if I run it for the entire table (works great for just a few rows when filtered down).The error I get is: "We couldn't get data from the external source.The operation has been cancelled because there is not enough memory available for the application. If using 32-bit version of the product consider upgrading.
I know I can add a related column and that works fine...but that seems to me like I've defeated the purpose, I have a good and proper lookup table, and should be able to run my query against its relationship.Here is the query and details below *Note I supplied a scaled down sample, on my actual model I receive these errors, not in the sample as it has only a few rows
List Workers Distinct Project Customers:=CALCULATE(DISTINCTCOUNT(Projects[CustomerID]),'WorkersToProjects')
Other measure which returns no errors, but included for completeness:
List Workers Projects:=CALCULATE(DISTINCTCOUNT([ProjectID]),ISBLANK(WorkersToProjects[ProjectID])=FALSE())
My goal here is to allow the user to view the workers assigned to a project, but also get counts of the workers assigned to the CUSTOMER of a project. For example, suppose we lose a customer, we want to see how many workers would be impacted by that, so a count of projects per worker is not useful there, we need to see a count of workers per project's customer (owner of project whom project work is being done for)The question being: How can I accomplish this:
1. WITHOUT adding a calculated column to WorkersToProjects (of Projects.CustomerID)
2. WITH better performance?
There must be a better way to write this DAX to still get the correct answer?*Pic of pivot table, again, the numbers are accurate but the formula used to List Workers Distinct Project Customers measure does NOT scale :( 3 count for red , the number of Projects John has and 2 count for blue, the unique customers/owners of those projects "Veridian Dynamics" and "Massive Dynamic". URL....
I have problems creating a cube with AMO.
I can add the cube to the database object and fill it with dimensions and a measuregroup (see code below).
If I call cube.Update() it says something like "Error in meta data manager. Cube has no measuregroups." (getting the message in german language)
The error in Microsoft.AnalysisServices.OperationException.Results.Messages is -1055653629
I can't find any documentation about this (or any other) error code in Microsoft documentation.
Here's my Code:
Cube newCube = database.Cubes.Add("MyCube","MyCube");
newCube.Language = 1031;
newCube.Collation = "Latin1_General_CI_AS";
CubeDimension dim = newCube.Dimensions.Add("dim1","dim1","dim1");
CubeAttribute attrib = dim.Attributes.Find("dim1Attr1");
[code]....
I have a cube that we are processing nightly via an Analysis Service Processing Task in SSIS. In order to increase the performance of the processing time, we elected to use a lot of rigid dimension attributes, and do a full process of everything in the SSIS task. The issue that I am having is that after that task completes, I need to go into Visual Studio to deploy the cube becuase we are unable to browse or use the cube. This issue seemed to start once we changed the SSIS Analysis Service Processing Task to do a full process on the dimensions, rather than an incremental.
I would expect that once development is done, and it is processed and deployed, that is it. My thinking is that the SSIS task should just update the already deployed cube,
I am trying to get count on a varchar field, but it is not giving me distinct count. How can I do that? This is what I have....
Select Distinct
sum(isnull(cast([Total Count] as float),0))
from T_Status_Report
where Type = 'LastMonth' and OrderVal = '1'
below data,
Countery
parentid
CustomerSkId
sales
A
29097
29097
10
A
29465
29465
30
A
30492
30492
40
[code]....
Output
Countery
parentCount
A
8
B
3
c
3
in my count function,my code look like,
set buyerset as exists(dimcustomer.leval02.allmembers,custoertypeisRetailers,"Sales")
set saleset(buyerset)
set custdimensionfilter as {custdimensionmemb1,custdimensionmemb2,custdimensionmemb3,custdimensionmemb4}
set finalset as exists(salest,custdimensionfilter,"Sales")
Set ProdIP as dimproduct.dimproduct.prod1
set Othersset as (cyears,ProdIP)
(exists(([FINALSET],Othersset,dimension2.dimension2.item3),[DimCustomerBuyer].[ParentPostalCode].currentmember, "factsales")).count
it will take 12 to 15 min to execute.
Hi,
I was talking to my boss to day and our report request are not very consistant. We always having someone coming back to change something in our report. We were thinking of useing something called the Cube Analysis. Then it give our employees the raw data for them to run any standard query for themself. We have folks that want a report one way, but then they changed their minds and we are creating yet another report 4 or 5 times. what are your thoughts about this type of database?
I'm making my first attempt at creating a cube using Analysis Services based on my exisiting datamart. Datasource, views, and dimensions have been defined. But comes deploying the cube, it's giving the error saying "A connection cannot be made. Ensure that the server is running." The Deploy Target server and database are the same where my datamart is. Or, maybe I don't know what I'm doing.
Would appreciate any suggestion for my enlightenment. Thanks
I setup Hiarchy in the dimentions of my cube, however when I go and look at it via proclarity, I can't see the hiearchy there.
I have one table that has:
Category
Subcategory
Partnumber
And I have the hiearchy set from Subcategory to partnumber.
Then I go into proclarity and limit the category by "my catname" and I still see the 8000 partnumbers in the list.
Any ideas?
I have a (hopefully typical) problem when it comes to cube design. Westore millions of product records every year, broken down bymonth/quarter. Each product can be assigned to various heirarchialclassification groups etc. The data in an OLTP DB occupies roughly100G for a typical year.We're looking at breaking this out into OLAP to provide faster accessto the data in various configurations and groupings. This is not aproblem, as this is the intended use for Analysis Services.The problem is that we apply projection factors on the product pricesand quantities. This would be ok if it only happened once, however,this happens every quarter (don't ask why). The projection factorschange 4 times a year, and they affect all historical product records.This presents a challenge because to aggregate the data into a usefulconfiguration in the cubes, you throw out the detail data, but thismeans throwing out the price and quantities which are needed to applythe projection.So if you have Product A at $10 and Product B at $20, and roll both upinto Category X, you'll have $30, but you'll lose the ability to applya projection factor of .5 to Product A and .78 to Product B. They'rerolled up.I don't want to regenerate the cubes every 3 months. That's absurd.But we can't live without the ability of projection theprices/quantities on a product level (detail level). So how can thisbe achieved when the other cubes are created at a higher level withless details and sums of the detail data?My initial guess is that we have to update the product data, and thenreaggregate all the other data that is built upon that product data.Is there any other way to apply math to the data on the way out?Thanks in advance!Regards,Zach
View 2 Replies View Relatedi want to create cube withe 2 fact tables. is it possible?? if it is could you show me how !!
View 2 Replies View Relatedhow can use this mdx script in the calculation part of a cube, will i simply dump it in the script form by starting with the 'create member current cube.
[measures].[test]'
select
[measures].[abc] on 0,
[xyz].[xyz].(&0):[xyz].[xyz].(&60) on 1
from
(
select
(tail([month].[month].[month].members,6))on 0
from
[cube])
The data attached below is from a Fact table. When this data is browsed in the Cube the end user is only interested in value of Measure 1 when it is not equal to zero. Measure 1 is a base measure .how to suppress the value 0 for Measure 1 in the Cube.
DimesionKey1
DimensionKey2
DimensionKey3
Measure 1
Measure 2
Measure 3
[code]...
I know where the data files are etc, but what is the physical structure of a cube like on disk?
Logically we see the data as a star. Is the physical file akin to a star also? Or is a single file a measure group containing all the required member and measure data - thereby eliminating the need for physical join operators.
I am planning to implement the security in my cube..
Total sales is 1000..
Customer Sales
A 100
B 200
C 300
D 400
Total Sales 1000
When i want to give access to the customer A, he can capabule of viewing only A value 100... But the problem is A is able to see total sales 1000.. How can i restrict the sales a value to 100 in the cube.. Where i have to set the property to fix this issue.....
Is it correct to say that for each cube you can have only one Fact Table? I am having a funny dispute just now.
According my experience I never built cubes with more than one fact table, if I want take data from more than one table I write a view and I use it as Fact table...but a cube with two or three fact tables? Never tried..
I have a cube. Its xml is different at some point than its design view. Suppose for some dimension and its attributes, source table is different than what it showing in the properties window for them..
Is this possible? How to read cube xml because there are repeating tags in it. There are two type if dimension tags.. one has only attributed and other has all properties.
Is it possible to have more than one cube under one SSAS database? For example I have a database "Test" and in this the cube exist is "TestCube", is iit possible to deploy another cube "TestCube2" under the Test databse?
If yes then what is the process to do that, the reason I am asing is there are some common dimensions used n both the cubes and I am not sure what is the best way so that I can use the shared dimension?
How can we select translated text of cube translations, like measures, dimensions, dimension attributes. I have below query which return translations of dimension attribute's memebers
WITH
MEMBER Measures.CategoryCaption AS Product.Category.CurrentMember.MEMBER_CAPTION
MEMBER Measures.SpanishCategoryCaption AS Product.Category.CurrentMember.Properties("LCID3082")
MEMBER Measures.FrenchCategoryCaption AS Product.Category.CurrentMember.Properties("LCID1036")
SELECT
{ Measures.CategoryCaption, Measures.SpanishCategoryCaption, Measures.FrenchCategoryCaption } ON 0
,[Product].[Category].MEMBERS ON 1
FROM [Adventure Works]
I am getting translations of product category members but I want to get translated text of "Category"?
If there are any AS gurus out there, I could use some help. I've been having some problems with particular AS dimension and cubes and it's driving me crazy! It doesn't matter what I do, nothing seems to work.
Anyway, here's what I'm trying to do. I've got a fairly simple dimension. There is a date stored in the dimension that is formatted as an int. The dimension needs to only display AGE, so I cast the int as a date and do a datediff to get AGE. The dimension builds just fine and I get the results I want. My problem is when I add the dimension to the cube. The cube fails to build and I get an error message - "Data source provider error: The column prefix 'MY TABLE' does not match with a table name or alias used in the query." Basically, AS is telling me that the table that is used for the dimension doesn't exist, even though the fact and the dimension are joined properly and I've validated the structure.
I've run a number of queries in QA on the two tables and everything works fine. No funky data issues. I've run the service packs a few times, but that didn't work either. I've tried making a cube that only has the just fact table and the one dimension table, and it still fails.
Basically, I'm out of ideas. Any help that anyone has is greatly appreciated.
I have designed a cube. It has two fact tables and some dimensions. Fact table to fact table is many to many relationship.
For example
FactMain
DataKey(PK), StartDateKey, PostCodeKey, TotalCost
FactBridge
DataKey(FK), ProductKey(FK), Position - PrimaryKey on DataKey + ProductKey + Position
DimProduct
ProductKey(PK), ProductCode
Cube is built successfully, processed successfully.When I try to process the cube from agent job, I am getting error "Attribute key not found: tablename, value..." I have added a job step to run AnalysisServices Command. I have taken the command from cube process script(taken from manually process the cube and take script generated). I used ProcessAffectedObjects = "true" in the script. When I checked the tables, the key does exist. Why am I getting this error?
I have a TEST database which contains 1 cube.
I have created another cube and I want to add this cube to the TEST database also.
However when I deploy the cube it overwrites the database with the new cube and the old cube is gone.
How can I have the 2 cubes within the TEST database.
I want to implement population data in sales cube.
Fact table has customer code which is foreign key of Customer master dimension which in turn is linked to census data dimension. Census data dimension have city wise population data having foreign keys of zone and state.
We want to add population data in fact table.
I have been trying to get the ValueR column of the following query through the MDX but instead getting ValueW as output of the MDX
select
exp(Log(sum(MTMROR)+ 1 ))-1 as ValueW,
exp(sum(Log(MTMROR + 1)))-1 as ValueR
from
Temp_Performance
where Rundate in ('2015-03-01','2015-03-02')
MDX written for the above query is
With
Member [Measures].[LogValuePre]
as ([Measures].[MTMROR] + 1)
Member [Measures].[LogValuePre1]
as VBA
[Code] ...
[MTMROR] measure has the aggregate function Sum. What i can get from this behavior is MDX is first aggregating the result and default aggregation function is Sum. When i try to see the value with more granular data by having the date dimensions on the row (un-commenting the date dimension) i get the correct log and exp log values. Its showing the correct value as date dimension is most granular level in the fact table. While trying to get the data at less granular level(Fund level), getting the sum function applied automatically.
If i set AggregateFunction to none in the cube structure, i get null as the output.
How could i apply the log function before the sum function in the [MTMROR] measure?
I am in process of automating a cube migration from SSMS 2008 to SSMS 2012.
In this process iam deleting the existing cube databases and restoring them on a different location on the same server.
When i try to execute the restore command or restore using UI i get a wierd error message like this below:
"TITLE: Microsoft SQL Server Management Studio
------------------------------
File system error: The following error occurred while opening the file 'DrivePath3F9D4D128D5E417FA6F2[CUBEDBNamepath].fact.map'.
Server: The current operation was cancelled because another operation in the transaction failed.
(Microsoft.AnalysisServices)
[Code] ....
I have a .abf file, which I am attempting to restore. I go to Management Studio and attempt to restore the cube.
However, whenever I attempt to restore the following error message occurs:
"File 'C:/.......' specified in restore command is damaged or is not an AS backup file.
The following error occured:
Access is denied (Microsoft SQL Server 2008 R2 Analysis Services)
Best way to print Dimension Usages with Measure Group for any CUBE.
This actually facilitate business people to understand which dimensions mapped to which measure group.
How can i deploy an existing cube with a new name on the same server?
View 4 Replies View RelatedI've
1. SQL Server Data Warehouse
2. OLAP CUBE in Analysis Services
My question is - If my SQL Server Data Warehouse is changed (Having Append Data) - Is that My OLAP Cube will have the Append Data?
It's possible, my OLAP Cube always having Append Data if my Data Warehouse is changed? If yes, how to do it without re-deploy and re-process my Analysis Services Project.