Dimension Tables
Hey Guys
How can i check my dimesion tables see the number of recrods or the chars they are storing. Kind of like table structure can i do that for the cube. and If yes anybody has the idea on the transaction code for that.
Thanks
Hi mark,
For every cube Maximum 16 dimension tables can be allocated.In that 16 dimension tables 3 tables are fixed dimensions i.e Datapacket,Time & unit.Remaining 13 dimensions are user can use these dimensions.
To know how many dimension tables are there for each cube,
goto SE11 tcode give /BIC/D"yourcubename"*,it gives you all the dimensions.Userdefined dimension tables are with named as \BIC\D(yourcubename)(1.....13),remaining fixed dimensions will appear as \BIC\D(yourcube name)P[datapacket],\BIC\D(yourcube name)T[time],\BIC\D(yourcube name)U[unit].
Thanks & Regards,
Praveena.
Similar Messages
-
In Answers am seeing "Folder is Empty" for Logical Fact and Dimension Table
Hi All,
Am working on OBIEE Answers, on of sudden when i clicked on Logical Fact table it showed me as "folder is empty". I restarted all the services and then tried still showing same for Logical Fact and Dimension tables but am able to see all my reports in Shared Folders. I restarted the machine too but no change. Please help me out to resolve this issue.
Thanks in Advance.
Regards,
Rajkumar.First of all, follow the forum etiquette :
http://forums.oracle.com/forums/ann.jspa?annID=939
React or mark as anwser the post that the user gave.
And for your question, you must check the log for a possible corrupt catalog :
OracleBIData_Home\web\log\sawlog0.log -
Help on Setting logical Levels in Fact tables and on Dimension tables
Hi all
Can any body provide any blogs or any king of material on what exactly is levelling .
Like after creating the Dimensional hierarchies we need to set the logical levels for the LTS of fact tabels ri8 .So what is the difference between setting logical levels to fact tabels and also Setting levelling on Dimension tables .
Any kind of help is appreciated
Thanks
Xavier.
Edited by: Xavier on Aug 4, 2011 10:50 AMI have read these blogs ,but what my question is
Setting the logical levels in LTS of Fact tables i understood .
But we can also set the logical levels for dimensions also ri8 .I didn't understand why do we set the logical levels for dimensions .Is there any reason why we go with the levelling at dimensions
Thanks
Xavier
Edited by: Xavier on Aug 4, 2011 2:03 PM
Edited by: Xavier on Aug 4, 2011 2:32 PM -
Best practice when FACT and DIMENSION table are the same
Hi,
In my physical model I have some tables that are both fact and dimension table, i.e. in the BMM they are of course separated into Fact and Dim source (2 different units) and it works fine. But I can see that there will be trouble when having more fact tables and I e.g. have a Period dimension pointing to all the different fact tables (different sources).
Seems like the best solution to this is to have an alias of the fact/transaction table and have 2 "copies" of the transaction table (one for fact and one for dimension table) in the physical layer. Only bad thing is that there will then allways be 2 lookups in the same table when fetching data from the dimension and the fact table.
This is not built on a datawarehouse - so the architecture is thereby more complex. Hope this was understandable (trying to make a short story of it).
Any best practice on this? Or other suggestions.Id recommend creation of a view in the database. if its an oracle DB, materialised views would be a huge performance benefit. you just need to make sure that the MVs are updated when the source is updated.
-Domnic -
How to show current date in a column of dimension table in ssas
Hi,
I have 2 dimension tables (ALLWORK and YOURWORK) and 1 measure table (STATS). In ALLWORK dim table, I have 4 columns, one of them is END_DATE. Based on END_DATE and current date I want to create a named calculation field. To achieve this, I
want to show the current date in 5th column (of ALLWORK dim table) as calculated member (as named calculation wont show me correct date).
Problem is, I am not able to create the column in the dimension table. While creating the calculated member, I am not able to select the ALLWORK dimension table, it always selects MEASURE by default. Please help.
thanks
Tarique
thanks and regards Tarique AslamHi Tarique,
According to your description, you want to add a column to your dimension to show the current date, right?
In data source view, we can add named calculation to your table. A named calculation is a SQL expression represented as a calculated column. This expression appears and behaves as a column in the table. A named calculation lets you extend the relational
schema of existing tables or views in a data source view without modifying the tables or views in the underlying data source.
Reference
http://msdn.microsoft.com/en-in/library/ms174859.aspx
http://devmau5.wordpress.com/2010/03/25/the-getdate-of-mdx/
If I have anything misunderstand, please point it out.
Regards,
Charlie Liao
TechNet Community Support -
Multiple columns from the same dimension table as row labels performing slowly
(Working with SSAS tabular)
I'm trying to figure out what the approach should be for the following scenario:
Lets say we have a Customer table. The table has columns such as account number, department number, name, salesperson, account manager, number of customers, delivery route, etc
A user of the model could want to see any permutation of that information as the row labels. How should that be handled?
What we've been doing so far is that the user adds each column they want into the "ROWS" section in Excel. This works fine with smaller tables (for example, "Department" table with a "Department Code" and "Department Name",
but on large tables this quickly chokes. I understand why this is happening, I just haven't found a better way to accomplish the same thing.
I can add a calculated column to the model through VS, but obviously this is unsupportable and unscalable when each person needs their own permutations of the data. Can something similar be done in Excel?
This question seems to be what I need:
http://social.msdn.microsoft.com/Forums/en-US/97d1157a-1402-4227-b96a-79524401ddcd/mdx-query-performance-when-selecting-multiple-attributes-from-same-dimension?forum=sqlanalysisservices
However I can't find any information on how to add those properties (is it a multidimensional-only thing?)Thanks for the help. Sorry but i'm a self-taught developer, and i may be missing some basics :)
Anyway i've done what you suggested but i get this error:
[nQSError: 15011]The dimension table source Dimension Services.DM_D_SERVIZI_SRV has an aggregate content specification that specifies the level Product. But the source mapping contains column COD_PRODUCT with a functional dependency association on a more detailed level .
where:
- DM_D_SERVIZI_SRV is the physical alias for the Service Dimension (and the name of the LTS too)
- COD_PRODUCT is the leaf of the hierarchy, the physical primary key, but it hasnt to be included in the hierarchy
Do i have to add another level with the primary key and hide it to the users?
I tried to solve this going to the logical tables source properties, on the tab contents, setting "logical level" to null for the hierarchy, but i don't know if this is correct.
Thanks -
How to Maintain Surrogate Key Mapping (cross-reference) for Dimension Tables
Hi,
What would be the best approach on ODI to implement the Surrogate Key Mapping Table on the STG layer according to Kimball's technique:
"Surrogate key mapping tables are designed to map natural keys from the disparate source systems to their master data warehouse surrogate key. Mapping tables are an efficient way to maintain surrogate keys in your data warehouse. These compact tables are designed for high-speed processing. Mapping tables contain only the most current value of a surrogate key— used to populate a dimension—and the natural key from the source system. Since the same dimension can have many sources, a mapping table contains a natural key column for each of its sources.
Mapping tables can be equally effective if they are stored in a database or on the file system. The advantage of using a database for mapping tables is that you can utilize the database sequence generator to create new surrogate keys. And also, when indexed properly, mapping tables in a database are very efficient during key value lookups."
We have a requirement to implement cross-reference mapping tables with Natural and Surrogate Keys for each dimension table. These mappings tables will be populated automatically (only inserts) during the E-LT execution, right after inserting into the dimension table.
Someone have any idea on how to implement this on ODI?
Thanks,
DaniloHi,
first of all please avoid bolding something. After this according Kimball (if i remember well) is a 1:1 mapping, so no-surrogate key.
After that personally you could use Lookup Table
http://www.odigurus.com/2012/02/lookup-transformation-using-odi.html
or make a simple outer join filtering by your "Active_Flag" column (remember that this filter need to be inside your outer join).
Let us know
Francesco -
How to find out the infoProvider for a given dimension table?
Experts:
In RSA1, I want to find out the infoProvider for a given dimension table.
But I am not sure how to display the tables linked to a given infoProvider.
Could you provide a way to display all tables linked to a given infoProvider?
Thanks a lot!See, The dimension table starts with Dcubename1 and incremental Dcubename2 .... so on
Ex.ZSD_C01 is your cube name
Dim tables starts for this is /BIC/DZSD_C011 /BIC/DZSD_C012 ...
Goto - LISTSCHEMA - derive cube name from given dim table and enter cube name - execute - will show you all the tables -
Should my dimension table be this big
Im in the process of building my first product dimension for a star schema and not sure if im doing this correctly. A brief explanation of our setup
We have products (dresses) made by designers for specific collections each of which has a range of colors and each color can come in many sizes. For our UK market this equates to some 1.9 million
product variants. Flattening the structure out to Product+designer+collection gives about 33,000 records but when you add all the colors and then all the colors sizes it pumps that figure up to 1.9million. My “rolled own” incremental ETL load runs
ok just now, but we are expanding into the US market and our projections indicate that our products variants could multiple 10 fold. Im a bit worried about performance of the ETL just now and in the future.
Is 1.9m records not an awful lot of records to incrementally load (well analyse) for a dimension table nightly as it is never mind what that figure may grow to when we go to US?
I thought of somehow reducing this by using a snowflake but would this not just reduce the number of columns in the dimensions and not the row count?
I then thought of separating the colors and size into their own dimension, but this doesn’t seem right as they are attributes of products and also I would lose the relationship between products, size & color I.e. I would have to go through the
fact table (which ive read is not a good choice.) for any analysis.
Am I correct in thinking these are big numbers for a dimension table? Is it even possible to reduce the number somhow?
Still learning so welcome any help.
ThanksHi Plip71,
In my opinion, It is always good to reduce the Dimension Volume as much as possible for better performance.
Is there any Hierarchy in you product Dimension?.. Going for a snowflake for this problem is a bad idea..
Solution 1:
From the details given by, It is good to Split the Colour and Size as seperate dimension. This will reduce the vloume of dimension and increase the column count in the fact(seperate WID has to be maintained in the fact table). but, this will improve the
performance of the cube. before doint this please check the layout requirement from the business.
Solution 2:
Check the distinct count of Item varient used in fact table. If it is very less, they try creating a linear product dimension. i.e, create an view for the product dimension doing a inner join with the fact table. so that only the used Dimension member will
be loaded in the Cube Product Dimension. hence volume is reduced with improvement in performance and stability of the cube.
Thanks in advance, Sorry for the delayed reply ;)
Anand
Please vote as helpful or mark as answer, if it helps Regards, Anand -
Issue using one 2 Fact tables with one dimension Table.
Hi,
I have 1 Dimension table X and 2 Fact tables A and B
X is joined to Both A and B for Loan Amount ( with A) and for colleatral amount (with B) when I am selecting the X.Product_Name, A.Loan_Amt, B.Collateral Amount, it is giving an error message
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 15018] Incorrectly defined logical table source (for fact table EIP Collateral FACT) does not contain mapping for [EIP Reporting FACT.PD ID]. (HY000)
Any clues???
Is there a Inner or Outer join which needs to be created or set in the RPD to get the desired results???Ok..
I have one table which is Porfolio Details which has Portfolio name, Product Category , Product Name, Product ID, Product sources code.- This is my Dimension table.
I have another 2 set of fact tables : EIP Reporting FACT and EIP Collateral FACT..
These two tables are joined to Portfolio Details table.
EIP Reprting FACT gives portfolio wise Loan Amount
and EIP Collateral FACT gives Portfolio wise Collateral Amount details for same set of customer..
Now, I am selecting Portfolio Name, Product Category, Product Name,SUM( EIP Reporting FACT.LOAN_AMOUNT), SUM(EIP Collaetral FACT.Collateral_Amt) in a report
Now, on selecting these columns I am getting that error message which is related to mapping.
If I take any column from Portfolio details table and any column from EIP Reporting FACT- It works.
If I take any column from Portfolio details table and any column from EIP Colletral FACT- It works.
But if I take any column from portfolio table and columns from both FACT tables it gives mapping error...
Hope I am able to explain the issue in a better way now..
Edited by: help-required on Mar 11, 2010 6:53 PM
Edited by: help-required on Mar 11, 2010 6:53 PM -
Consistency Warning - [39008] Dimension Table not joined to Fact Source
I have a schema in which I have the following tables:
A) Patient Transaction Fact Table (i.e. supplies used, procedures performed, etc.)
B) Demographic Dimension table (houses info like patient location code)
C) Location Dimension table (tells me what Hospital each unique Location maps to)
So table A is the fact, and table B is a dimension table joined to table A based on Patient ID, so I can get general info on the patient. This would allow me to apply logic to just see patient transactions where the patient was FEMALE, or was in the Emergency Room, by applying conditions to these fields in table B.
Table C is a simple lookup table joined to table B by Location Code, so I can identify which hospital's emergency room the patient was located in for instance.
So the schema is: A<---B<---C, where B and C are both dimension tables.
The query works as desired, but my consistency check gives me the following WARNING:
*[39008] Logical dimension table LOCATION MASTER D has a source LOCATION MASTER D that does not join to any fact source.*
How do I resolve this WARNING, or at least suppress it?Hi,
What you need to do is to add the (physical) location dimension table to the logical table source of the demographic dimension, for example by dragging it from physical layer on top of logical table source of demographic logical dimension table in bmm layer
Regards,
Stijn -
Multiple Fact Tables and Dimension Tables
I have been having some problems trying to model the data from Oracle E-Business Suite maintenance. I will try to give the best description of how the data is held in the tables. The structure is such that a work order can have multiple operations and an operation can have multiple resources as well. I believe the problem comes in the fact that an operation doesn't necessarily need to have a resource. I could not attach an image so I have written out an example below. I am not saying this is right or that it works, but just to give you an idea of what I am thinking. The full dimension would be Organization -> WorkOrder -> Operation -> Resource. Now, the fact tables all hold factual data for the three different levels, with the facts being at each corresponding level. This causes an obvious problem in combining the tables into one large fact table through the ETL process.
Can anyone tell me if they think this can be done? Am I way off? I am sure that there is a solution as there always is but I have been killing myself trying to figure this one out. I currently have the entire solution in different Business Models. I would like however to be able to compare facts from multiple areas such as the Work Order level and the Resource level.
Any help is greatly appreciated. I realize that the solution may also require additional work on the ETL side so I am open to any and all suggestions.
Thank you in advance for anyones time. :)
Dimension Tables
WorkOrder_D
Operation_D
Resource_D
Organization_D
Fact Tables
WorkOrder_F
Operation_F
Resource_F
Joins
WorkOrder_D -> Operation_D
Operation_D -> Resource_D
WorkOrder_D -> WorkOrder_F
Operation_D -> Operation_F
Resource_D -> Resource_F
Organization_D -> WorkOrder_D
Organization_D -> Operation_D
Organization_D -> Resource_DHi,
Currently the dimension table is taken as a simple logical table in rpd as it does not have have any levels or hierarchy.
Its a flat dimension. Can you guide me how can I implement a flat dimension in OBIEE? Because this dimension is taken as simple logical table
I am not able to set appropriate level for fac tables. This dimension does not appear in the list of dimensions. -
Static and small dimension table should I use lookup
Hi Gurus,
I am creating interface to load my fact table.
Generally for different codes to replace with surrogate keys I use dimension table for look-up in interface.
but I have question if dimension table is very small and has only static values like
Sur_key, Code, Description.
1, C, Create
2 , R, Redeem
in such case if in interface for fact table, I just write expression "if source_table.column=C then 1 else 2".
Please advice if this is better way or not.
Thanks in advance.I agree - it is much better practice to use lookups to populate surrogate keys. Using hard-coded values in code requires the developer to always remember that dependency on dimensional data and can cause unexpected results down the line if the keys are updated or are inconsistent across environments.
-
How to Create a Dimension Table in OBIEE11g
Hello,
Chapter 9, page 221(if pdf) of the Build Repository manual of OBIEE 11g explains following.
Creating Dimensions in Level-Based Hierarchies
After creating a dimension, each dimension can be associated with attributes
(columns) from one or more logical dimension tables and level-based measures from
logical fact tables. After you associate logical columns with a dimension level, the
tables in which these columns exist appear in the Tables tab of the Dimension dialog.
To create a dimension with a level-based hierarchy:
1. In the Business Model and Mapping layer of the Administration Tool, right-click a
business model and select New Object > Logical Dimension > Dimension with
Level-Based Hierarchy.
Note that this option is only available when there is at least one dimension table
that has no dimension associated with it.I am still learning OBIEE, and I can not see the dimension menu item as per point 1 becuse i do not have dimension table associated with it. All I have done at this point is to create logical tables based on few physical tables in physical layer.
How do I create Dimension Tables? using BI Admin tool?
Thanks,RHi Rich,
If you are new to Oracle BI, you would better start with the Oracle Learning Library; http://apex.oracle.com/pls/apex/f?p=9830:41:0::NO:RIR:IR_PRODUCT,IR_PRODUCT_SUITE,IR_PRODUCT_COMPONENT,IR_RELEASE,IR_TYPE,IRC_ROWFILTER,IR_FUNCTIONAL_CATEGORY:,BI,,,,,
You create dimensions based on your logical tables. In a plain star-schema you would have one logical fact table and at least one or more logical dimension tabes attached (joined) to the fact table. Just follow the documentation and you would be good to go.
Good Luck,
Daan Bakboord
http://obibb.wordpress.com -
Hi and many thinks for reading,
I have a problem (which is quite common as I saw, though I could'nt find a solution which resolves my issue yet) with the consistency.
My physical layer looks like this:
Table_A
Table_B
Table_C
Table_D
Table_E
In the Business Model I have just the same tables and the following joins in the Logical Table Diagram:
Table_A -> Table_B
Table_C -> Table_A
Table_D -> Table_A
Table_E -> Table_A
The consistency check is delivering the following two warnings:
Warning
Logical Table Source
Table_A
[39008] Logical dimension table Table_A has a source Table_A that does not join to any fact source.
Warning
Logical Table Source
Table_B
[39008] Logical dimension table Table_B has a source Table_B that does not join to any fact source.
While working in BI answers I manage to retrieve all data from Tables C, D, E. But for tables A and B I can retrieve just the columns which are defined in the join Table_A->Table_B. All other columns deliver the following error:
Error Codes: OPR4ONWY:U9IM8TAC:OI2DL65P
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 14026] Unable to navigate requested expression: Table_A.Column_X. Please fix the metadata consistency warnings. (HY000)
If i retrieve one Column from Table_A and one from Table_E, I have the following error:
Error Codes: OPR4ONWY:U9IM8TAC:OI2DL65P
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 15018] Incorrectly defined logical table source (for fact table Table_E) does not contain mapping for [Table_B.Column_X]. (HY000)
(yes its Table_B not a)
I would like to fix this errors but am not sure where the problem is hidden.
Any help is kindly appreciated.
EvgenyHi Goran,
thanks for you help.
I tried to create the BMM in the two way but, it doesn't work out neither way. The Administration tool is recognizing the repository as consistent, thought it has some warnings, but in BI Answers I cant retrieve even a single column from one table.
I am also not sure, how does it work, that you just add TableB to the logical TableA, who would the programm know which rows belong together? I assume one must establish a logical connection between TableA and TableB to make it compatible?
About my tables:
Actually TableA, TableB and TableC are recognized dimensions (white) and TableD and TableE are recognized as facts (yellow) in the Administration tool. Though I dont agree with this assignment. TableA is definitly a fact table (it is also the center of the star schema) while the other tables are the dimension tables. Not sure how the Administration tool is distinguishing between facts and dimensions...
Here are my warnings:
BUSINESS MODEL TAB: (with two logical tables)
[39008] Logical dimension table TableA has a source TableA that does not join to any fact source.
[39008] Logical dimension table TableA has a source TableB that does not join to any fact source.
BUSINESS MODEL TACDE: (with three logical table sources)
[39008] Logical dimension table LT2 has a source TableE that does not join to any fact source.
[39008] Logical dimension table LT2 has a source TableD that does not join to any fact source.
[39008] Logical dimension table LT2 has a source TableC that does not join to any fact source.
And the errors in Answers:
Retrieving ColumnX from TableA in the first model
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 14026] Unable to navigate requested expression: TableA.ColumnX. Please fix the metadata consistency warnings. (HY000)
Retrieving ColumnX from TableA in the second model
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 17001] Oracle Error code: 12170, message: ORA-12170: TNS:Connect timeout occurred at OCI call OCIServerAttach. [nQSError: 17014] Could not connect to Oracle database. (HY000)
Thanks for further help!
Evgeny -
What is '#Distinct values' in Index on dimension table
Gurus!
I have loaded my BW Quality system (master data and transaction data) with almost equivalent volume as in Production.
I am comparing the sizes of dimension and fact tables of one of the cubes in Quality and PROD.
I am taking one of the dimension tables into consideration here.
Quality:
/BIC/DCUBENAME2 Volume of records: 4,286,259
Index /BIC/ECUBENAME~050 on the E fact table /BIC/ECUBENAME for this dimension key KEY_CUBENAME2 shows #Distinct values as 4,286,259
Prod:
/BIC/DCUBENAME2 Volume of records: 5,817,463
Index /BIC/ECUBENAME~050 on the E fact table /BIC/ECUBENAME for this dimension key KEY_CUBENAME2 shows #Distinct values as 937,844
I would want to know why the distinct value is different from the dimension table count in PROD
I am getting this information from the SQL execution plan, if I click on the /BIC/ECUBENAME table in the code. This screen gives me all details about the fact table volumes, indexes etc..
The index and statistics on the cube is up to date.
Quality:
E fact table:
Table /BIC/ECUBENAME
Last statistics date 03.11.2008
Analyze Method 9,767,732 Rows
Number of rows 9,767,732
Number of blocks allocated 136,596
Number of empty blocks 0
Average space 0
Chain count 0
Average row length 95
Partitioned YES
NONUNIQUE Index /BIC/ECUBENAME~P:
Column Name #Distinct
KEY_CUBENAMEP 1
KEY_CUBENAMET 7
KEY_CUBENAMEU 1
KEY_CUBENAME1 148,647
KEY_CUBENAME2 4,286,259
KEY_CUBENAME3 6
KEY_CUBENAME4 322
KEY_CUBENAME5 1,891,706
KEY_CUBENAME6 254,668
KEY_CUBENAME7 5
KEY_CUBENAME8 9,430
KEY_CUBENAME9 122
KEY_CUBENAMEA 10
KEY_CUBENAMEB 6
KEY_CUBENAMEC 1,224
KEY_CUBENAMED 328
Prod:
Table /BIC/ECUBENAME
Last statistics date 13.11.2008
Analyze Method 1,379,086 Rows
Number of rows 13,790,860
Number of blocks allocated 187,880
Number of empty blocks 0
Average space 0
Chain count 0
Average row length 92
Partitioned YES
NONUNIQUE Index /BIC/ECUBENAME~P:
Column Name #Distinct
KEY_CUBENAMEP 1
KEY_CUBENAMET 10
KEY_CUBENAMEU 1
KEY_CUBENAME1 123,319
KEY_CUBENAME2 937,844
KEY_CUBENAME3 6
KEY_CUBENAME4 363
KEY_CUBENAME5 691,303
KEY_CUBENAME6 226,470
KEY_CUBENAME7 5
KEY_CUBENAME8 8,835
KEY_CUBENAME9 124
KEY_CUBENAMEA 14
KEY_CUBENAMEB 6
KEY_CUBENAMEC 295
KEY_CUBENAMED 381Arun,
The cube in QA and PROD are compressed. Index building and statistics are also up to date.
But I am not sure what other jobs are run by BASIS as far as this cube in production is concerned.
Is there any other Tcode/ Func Mod etc which can give information about the #distinct values of this Index or dimension table?
One basic question, As the DIM key is the primary key in the dimension table, there cant be duplicates.
So, how would the index on Ftable on this dimension table show #distinct values less than the entries in that dimension table?
Should the entries in dimension table not exactly match with the #Distinct entries shown in
Index /BIC/ECUBENAME~P on this DIM KEY?
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