Solved

Dimension Duplicate Key Error

Posted on 2011-09-20
14
654 Views
Last Modified: 2013-11-16
when i try to process the date dimension, i get these errors when processing.

Errors in the OLAP storage engine: A duplicate attribute key has been found when processing: Table: 'dbo_dim_Date', Column: 'YearName', Value: '2006'; Table: 'dbo_dim_Date', Column: 'QuarterName', Value: 'Q1 2006'. The attribute is 'Quarter Name'.

Almost every dimension that i have , is getting similar errors when processing. Any ideas ?
0
Comment
Question by:basile
  • 6
  • 4
  • 2
  • +1
14 Comments
 
LVL 45

Expert Comment

by:aikimark
ID: 36573395
What database are you using?
0
 
LVL 22

Expert Comment

by:8080_Diver
ID: 36574000
What indexes do you have on the table in question?  You need to look at them closely to make sure that you have not defined a Unique Index that doesn't allow the particular insert if that insert is actually needed.
0
 
LVL 1

Author Comment

by:basile
ID: 36574077
I'm using SQL Server2008R2.

As far as indexes, one is a date dimension, so it's not indexed, and the others just uses a primary key, all of which are used soley for identity.
0
 
LVL 15

Expert Comment

by:Tim Humphries
ID: 36574311
Hi,

I suspect you have multiple members in your date dimension that have the same quarter name (makes sense) but that you have also marked the quarter name atttribute as needing to be unique.

Check the MemberNamesUnique property for the QuarterName atribute and try setting this to False.

Presumiably you could have problems with yearName, MonthName etc.

Depending on how you've structured your other dimensions / attribute hierarchies you may have problems elsewhere too.

Tim
0
 
LVL 1

Author Comment

by:basile
ID: 36574525
I thought that may be the case as well, after diong further reading, but the hierarchy that i'm using, the columns are all MemberNamesUnique = False....
0
 
LVL 1

Author Comment

by:basile
ID: 36574609
let me see if i can explain his better:

so, for attributes of yearName, Quartername, MonthName i want to use as hiearchy. I set the visible property to false. Also i set up the keys like this:

YearName -
Properties - KeyColumns (collection) wk_Date, YearName: NameColumn = YearName

QuarterName-
Properties - KeyColumns(collection) yearname, quartherName NameColumn = QuarterName

MonthName
Properties - KeyColumns(collection) QuarterName, MonthName NameColumn = MonthName

I attached a screenshot of the attribute Relatinship:.... I still get a squiggly line in the hierarch saying no relationships have not been defined.... Also the reltinshiptypes are all flexible.

Thanks for your help.


dimTime.PNG
0
Enabling OSINT in Activity Based Intelligence

Activity based intelligence (ABI) requires access to all available sources of data. Recorded Future allows analysts to observe structured data on the open, deep, and dark web.

 
LVL 22

Expert Comment

by:8080_Diver
ID: 36574896
In your image there is a golden key next to QuarterNumber.  That induicates that it is a Primary Key . . . which means that it has to be unique.  In other words, you can have only one entry with any given querter number.  

Add an Identity column as your Primary Key and then make a Non-Unique Index on your QuarterNumber column.  alternatively, you could make a Unique Index on YearNumber, QuarterNumber, MonthNumber, DayNumber.
0
 
LVL 15

Accepted Solution

by:
Tim Humphries earned 500 total points
ID: 36574973
Ok, from your screenshot I think you may have your attributes defined incorrectly. You have Quarter Name -> Month Name. I've checked a date hierarchy I have set up and the relationship is in the other direction : Month Name -> Quarter Name.
This could cause the non-unique error as the engine won't be able to resolve what's a parent and what's a child correctly.

Try changing these around so the relationships always read from child to parent.

Tim
0
 
LVL 1

Author Comment

by:basile
ID: 36574976
i thought the golden key is on wk_Date ? i don't see the key your are referring to in the image ??
0
 
LVL 1

Author Comment

by:basile
ID: 36574986
i got that to process by not having the key column collection in the relatinoship attributes. I'm confused by this, becuase it seems to be not using the best practices....
0
 
LVL 15

Expert Comment

by:Tim Humphries
ID: 36575020
In the Attribute Relationships panel (centre bottom) the first relationship listed is Quarter Name -> Month Name. This is the wrong way around. You could try removing it and relying on relationships from your wk_Date attribute, but i think you may need to add Month Name -> Quarter Name to get it to process.

Tim
0
 
LVL 15

Expert Comment

by:Tim Humphries
ID: 36575040
8080 Diver: the key is next to wk_date, I think (although it's not fully visible). This looks correct to me.
There's no need to add an identity column if the date is unique.

Tim
0
 
LVL 1

Author Comment

by:basile
ID: 36575317
Ok so what i don't understand, (i fixed the relationship). I have the memberNamesUnique property set to false, so why then do i have to associate the primary key, with the column and create the name column? becuase ifi i don't do this, i get anerror when i process the dimension. haven't even started to develop the cube yet
0

Featured Post

Do You Know the 4 Main Threat Actor Types?

Do you know the main threat actor types? Most attackers fall into one of four categories, each with their own favored tactics, techniques, and procedures.

Join & Write a Comment

Suggested Solutions

Title # Comments Views Activity
SQl query 19 14
SQL Help - 12 42
Fixing Non-Standard characters in text 8 54
How to Install SSIS without the SQL Server CD 3 19
In this article we will get to know that how can we recover deleted data if it happens accidently. We really can recover deleted rows if we know the time when data is deleted by using the transaction log.
JSON is being used more and more, besides XML, and you surely wanted to parse the data out into SQL instead of doing it in some Javascript. The below function in SQL Server can do the job for you, returning a quick table with the parsed data.
Via a live example combined with referencing Books Online, show some of the information that can be extracted from the Catalog Views in SQL Server.
Viewers will learn how the fundamental information of how to create a table.

747 members asked questions and received personalized solutions in the past 7 days.

Join the community of 500,000 technology professionals and ask your questions.

Join & Ask a Question

Need Help in Real-Time?

Connect with top rated Experts

12 Experts available now in Live!

Get 1:1 Help Now