Analysis :: Sorting Dimension Members From Fact
Dec 2, 2015
I've got a dimension built from a fact (whatever that's called?) ... it's a date interval field, i.e. 0-5 weeks, 6-10 weeks 11+ weeks. How do I sort these members in the respective order? Looks like this currently:
The problem lies in the fact that I don't have any secondary attributes to order it by, i.e. it's not a physical dimension where I can use a key for the 3 members. I was hoping I wouldn't need to create a separate dimension to get round this.
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Sep 17, 2015
The Member_Key we can get by the method suggested in the post, but when we get the Member_Key, Id as Measures/members then performance is very slow.
Is there any way i can get the Member_key in a set in rows section.
Like
With SET [UniqueName] AS [Geography].[Country].CURRENTMEMBER.UNIQUENAME
Select Measures.Value on Columns,
UniqueName on Rows
From Cube
I want the value as just like
Value
Employees, UniqueName
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Jul 7, 2015
We have a date dimension which spans till 2099 and there are future projection numbers (under measures). I want to limit the data for Future projections only to 5 years from today by default. Is there a way to do this with in the cube. I understand that this can be done using MDX but since we use excel to view the data from the cube it needs to be controlled with in the cube.
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Jun 2, 2015
I have a dimension report with an attribute reporttype which have different member let say A,B,C,D....etc.
I want to set more than one default members for dimension report.
I've read all about how dimensions can have only one default member, but I need to set more than 1.
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Feb 24, 2011
I am using sql server 2005 enterprise edition.
How to list all the dimension and fact column names with mdx or tsql query...
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Oct 28, 2015
I am modelling cube in SSAS. Cube has around 20 dimensions and 6 fact tables. Some of the dimensions are common among the fact tables. e.g. Time dimension. Fact_PNL has 3 date columns for those we have 3 role playing dimensions in the dimension usages.
Another fact table has 5 date columns for them as well we have separate role playing dimensions in dimension usage tab. We have a common dimension Company which is foreign key in all fact tables. We might need to combine the data from multiple facts to get final output.
Should i create 6 role playing dimension for each of the fact table or use the same dimension for all fact tables?
Role playing dimensions should be created when we have multiple columns pointing to the same dimension ?
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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_USD
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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Sep 6, 2011
I have a Fact table that contains several degenerate string values that I have pulled into a Fact Dimension.
When I browse the cube and cut one of the measures by an attribute from the Fact Dimension, I am getting incorrect data.
In other words, when I query the fact table directly via SQL and apply the same filters, I see the data I am expecting to see. But cube browse with same filters yields different results.
How can this happen since the fact dimension has a 1:1 relationship with the fact table.
I do have the Dimension Usage configured properly.
Is this an aggregation thing? Attribute key thing? What am I missing?
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Dec 3, 2006
I think I've seen a similar post on a blog or on the forums - but it seems like this should be possible -
I have an MDX query - that works fine in SQL Enterprise Manager, and has my dimension members on columns, and my measures on the rows. When I try the same query in Reporting Services, I get the error:
"The query cannot be prepared: The query must have at least one axis. The first axis of the query should not have multiple hierarchies, nor should it reference any dimension other than the Measures dimension..
Parameter name: mdx (MDXQueryGenerator)"
Although it works when you pivot the view, I really need my data presented with the members on the columns and the measures on the rows. Another forum post mentioned using the SQL 9.0 driver, but I can't see this listed anywhere (the only one I see is the .NET framework Data Provider for Microsoft Analysis Services).
Here's what my query looks like -
SELECT
{ [Time].[Month].&[2006-09-01T00:00:00] ,
[Time].[Month].&[2006-10-01T00:00:00],
[Time].[Month].&[2006-11-01T00:00:00],
[Time].[Month].&[2006-12-01T00:00:00]
} on COLUMNS,
{
[Measures].[Unique Users],
[Measures].[UU Pct 1],
[Measures].[UU Pct 2],
} ON ROWS
FROM [Cube]
Any ideas?
Thanks,
Arjun
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Aug 11, 2015
I am working on a model where I have a sales fact table. Each fact record has four different customer fields (ship- to, sold-to, payer, and bill-to customer). I have one customer dimension table that joins to the sales fact table four times (once for each of the customer fields above). When viewing the data in Excel, I would like to have four hierarchies (ship -to, sold-to, payer, and bill-to customer) within Customer.
Is there a way to build hierarchies within my Customer dimension based on the same Customer table? What I want is to view the data in Excel and see the Customer dimension. Within Customer, I want four hierarchies.
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Oct 26, 2015
When i add a dimension to the cube dimension without any relation in my dimension usage to any measure group my units are going down.However when i remove the dimension from the cube am getting the correct values.
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Aug 18, 2005
Looking up surrogate keys in a dimension table and adding these to your data flow is easy when there is a match in your dimension table for every key in your fact table. However, I am puzzled by how to manage the data flow when no match can be found for a specific key in the fact table when doing the lookup AND I then want to insert this unknown key as an unknown/inferred member in the dimension table. The problem is further complicated by the fact that when I have inserted the unknown member in the dimension table and it has been assigned a surrogate key there, I want to add this surrogate key to my fact table - just as if there had been a match in the lookup in the first place.
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May 22, 2007
Hello!
I'm developing a report with Samsung products sales compared to other producers' sales.
I have the following dimensions:
Dim Period (date-time)
Dim Region (region where the products are sold)
Dim Product Group (notebooks, CRT,...)
Dim Producer (Samsung, LG, ..., Other producers)
Report should contain Samsung sales on the first row, other companies (LG, Dell,...) sales on subsequent rows and "Other producers" sales on the last row, i.e.:
Week 1 - SomeRegion - Notebooks - Samsung - 2350
Week 1 - SomeRegion - Notebooks - LG - 1100
Week 1 - SomeRegion - Notebooks - Dell - 3000
Week 1 - SomeRegion - Notebooks - Other Producers - 10000
How can I position Producer values in such way?
Please note, Dim Producers may be enalrged, so I can't just enumerate all Dim Producer members in the query.
I tried to use field ProducerType, which I set to 1 for Samsung, 2 for other companies (LG, Dell, ...) and 3 for "Other producers", after that I ordered by this field, however it didn't position producers as I expected.
Please see the query I used below:
Code Snippet
SELECT
NON EMPTY
{
[Measures].[Quantity]
} ON COLUMNS,
NON EMPTY
Order(
{
(
[Dim Period].[Period Week No].[Period Week No].ALLMEMBERS *
[Dim Region].[Region Name].[Region Name].ALLMEMBERS *
[Dim Product Group].[Product Group Name].[Product Group Name].ALLMEMBERS *
[Dim Producer].[Producer Name].[Producer Name].ALLMEMBERS
)
}, [Dim Producer].[Producer Type], ASC)
DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS
FROM [ShelfShare]
WHERE ( [Dim Period].[Period Year].&[2007] )
CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS
Any help is greatly appreciated!
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Jun 4, 2015
Problem setting is a geography dimension with multiple user defined hierarchies in SSAS 2008.
Ex.:
Hierarchy 1 (political territory): level 6 --> level 5 --> level 4 --> level 3 (state) --> level 2 --> level 1
Hierarchy 2 (sales territory): level 4 --> level 3 --> level 2 (sales region) --> level 1
...
Hierarchy 9
The relationship between state and sales region is n:1, i.e. one state belongs to exactly one sales region, and one sales region can consists of one or multiple states. Unfortunatly I can't define this attribute relationsship in the dimension because it would lead to a diamond-shaped relationsship without a user-defined-hierarchy to back it up. So far that isn't much of a problem, user don't drill down from sales region to state. But now I want to define a calculated member that multiplies a measure from the main measure group with another measure from a weighting factor measure group at the state level and above. The granularity attribute of the geography dimension in the dimension usage tab of the weighting factor measuregroup is the state.
So far what I've got is:
CREATE MEMBER Currentcube.Measures.[weighted measure state and above] AS NULL;
SCOPE (Measures.[weighted measure state and above],
Descendants(geography.[political territory].[all member],3,SELF_AND_BEFORE),
Descendants(geography.[salesterritory].[all member],2,SELF_AND_BEFORE),
... Descendants(geography.[hierarchy 9].[all member],1,SELF_AND_BEFORE)); this = sum(existing(geography.[political territory].state.members), measures.[main measure group measure] * measures.[weighting measure group measure]);END SCOPE;
This works from a functional point of view, but is rather slow when querying any other hierarchy than the political territory hierarchy, because SSAS first goes down from the state level to the key attribute of the geography dimension, and then aggregates from there to the sales region.In other words, I want SSAS to resolve the relationsship (which state belongs to which sales region) through the dimension, and not through the fact, and apply the calculation afterwards. Like some kind of currency conversion, but only from a certain level upwards.
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Jul 14, 2005
greetings,
if I create a dimension from fact table, then it only has members which appeared in fact table. but if I create dimension from dimension table, then it shows all members, even those with no data. how can I show only those with existing data in member list?
thank you
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Apr 4, 2006
Argent
Need to split olap dimension members into three different dimension members
example
account dimension member = 11111200900
account_num.member = 11111
item_num.member = 200
sub_item = 900
Please help me
Thanks
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Mar 19, 2008
Hi All,
I am Srinivas working on SSAS 2005. I am not able to create or drop dimension members. I need to drop and create all members in one dimension before cube processing, as the columns are coming dynamically.
E.g. ALTER CUBE [Reporting] DROP DIMENSION MEMBER [Tbl Analysis Test].[Name]
Here cube is [Reporting] , dimension is [Tbl Analysis Test] and member is [Name].
Its giving the following error " Parsing the query ... Query (1, 46) The member '[Name]' was not found in the cube when the string, [Tbl Analysis Test].[Name], was parsed. Parsing complete"
Please look into this issue, advice me what do I do ASAP.
Thanks,
Srinivas
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Mar 19, 2008
Hi All,
I am Srinivas working on SSAS 2005. I am not able to create or drop dimension members. I need to drop and create all members in one dimension before cube processing, as the columns are coming dynamically.
E.g. ALTER CUBE [Reporting] DROP DIMENSION MEMBER [Tbl Analysis Test].[Name]
Here cube is [Reporting] , dimension is [Tbl Analysis Test] and member is [Name].
Its giving the following error " Parsing the query ... Query (1, 46) The member '[Name]' was not found in the cube when the string, [Tbl Analysis Test].[Name], was parsed. Parsing complete"
Please look into this issue, advice me what do I do ASAP.
Thanks,
Srinivas
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May 14, 2008
Hi,
I created some calculated members for a dimension. They are set to be visible and when i connect to the cube itself I can see them with both Excel and ProClarity as clients. I added them to a couple perspectives (by checking their boxes down at the bottom of the Calculations list) and deployed. There were no errors or issues. However from both Excel and ProClarity I do not see the calculated members of the dimension.
Any ideas?
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Dec 29, 2006
There are some 55 members in the arrival year level of the time dimension (1995 - 2055).
I am trying to find a way to restrict the number of years returned by this mdx query to the current year - 5. Any help will be appreciated.
WITH MEMBER [Measures].[ParameterCaption]
AS '[TIME DIMENSION].[ARRIVAL YEAR].CURRENTMEMBER.MEMBER_CAPTION'
MEMBER [Measures].[ParameterValue]
AS '[TIME DIMENSION].[ARRIVAL YEAR].CURRENTMEMBER.UNIQUENAME'
MEMBER [Measures].[ParameterLevel]
AS '[TIME DIMENSION].[ARRIVAL YEAR].CURRENTMEMBER.LEVEL.ORDINAL'
SELECT
{
[Measures].[ParameterCaption],
[Measures].[ParameterValue],
[Measures].[ParameterLevel]
} ON COLUMNS,
[TIME DIMENSION].[ARRIVAL YEAR].allmembers ON ROWS
FROM [TOURISM CUBE]
Thanks
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Jul 12, 2006
Hi,
Anybody who knows how inferred members update function in slowly changing dimension? I came across this when I started using some of the functions of the Slowly changing dimension object.
Thanks!
cherrie
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Sep 12, 2007
A few questions:
1) We have numerous fact tables with surrogate keys which reference just one dimensional surrogate key. How does this work?
2) Are the ‘facts’ feeding data TO the ‘dimensions’ (back end warehousing)? Or are the ‘Dimensions’ feeding facts to the ‘facts’ tables for lookups!?
Nb: Im very inexperienced at database design.
Im really also using this thread to get contacts for future harder questions!
Thanks kindly
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Feb 13, 2008
I have a fact table that has terminations. Fields include EmployeeName, TermDate, TermReason, and HireDate, et al.
I need to make EmployeeName available to drillthrough, and since it's a varchar field I can't make it a measure, so it has to be a dimension attribute. My question is, should I leave the fact table as it is and use SSAS to create a dimension that contains only EmployeeName and the link to TerminationID? Or should I redesign the OLAP tables so that EmployeeName is in a separate table?
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May 7, 2008
Dear all,
Now I create datawarehouse for my client, I have SSIS a lot for ETL process, I a problem that some fact table need to be updatetable and there is a lot of data of this, I need some efficent way to load this data to data warehouse.
I have read your article about SCD in SSIS (Slowly Changing Dimensions in SQL Server 2005).
I think the purpose of SCD for Dimension table. If I have some fact table that need rows to be updatetable can you give me an example, best practice, the efficient way or fastet way to load fact table that can be updatetable?
If you have link or link about this problem please reply my email. Thanks
My datasource from ORACLE and my datawarehouse in mssql2005
Regards,
Hendrik Gunawan
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Feb 6, 2008
Hi All,
What is the best way to move data from Online system tro data warehouse?
I have created 3 dimension tables(product,date and customer tables) and
I wanna create fact table and get foreign keys from dimension tables.
What is the best method to do that in SSIS?
thanks
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May 16, 2007
Hi,
I am new at SSIS and I am trying to create a Datawarehouse using SSIS. I have the data files as flat files I have the Dimensional Model ready on Paper and Now I need to use the SSIS for the ETL process.
I am trying to figure out how to make dimension tables in SSIS? I mean I want to create the 5 Dimension tables and then create a Fact table out of it but I cant understand where to start? Can any one tell me how we create Dimesion tables in SSIS. Like one of the dimesion tables I need to create uses 2 flat files and is like a flattened dimension, How would I create this in SSIS?
Even if there is any tutorial which shows this step by step do let me know. I would really appreciate any guidance on this.
Thanks,
Sarang
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May 28, 2008
Hi
A very basic MDX question. Using the following from AdventureWorks as an example:
Code Snippet
WITH MEMBER [Measures].[Big Cities]
AS
(
[Geography].[City].&[New York]&[NY]
, [Measures].[Internet Order Count]
)
SELECT
[Measures].[Big Cities] ON COLUMNS
, [Customer].[Total Children].Children ON ROWS
FROM [Adventure Works]
How would I re-write the [Measures].[Big Cities] calculated member so it included both [Geography].[City].&[New York]&[NY] and [Geography].[City].&[Los Angeles]&[CA]? Assuming there is no logical connection between these members, and that they are non-contiguous. Also, in my real example, I cannot move [Measures].[Internet Order Count] to the WHERE clause, it must remain within the calculated member.
Thanks,
Julia.
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Dec 19, 2014
I have a fact table with few flag columns.
What is the best way to bring them to dimension?
Do I need to create dimension(dummy) from fact table for each flag or all flags in single dimension?
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Dec 17, 2007
Hi there, my question is really simple. I want to setup an automatic task in SSIS that drops the tables in the target database and substitutes them with tables from the source database. We are talking about two or three dimension tables and one fact table. The dimension tables are pretty small. The fact table will contain, at maximum, 300,000 rows and 12 columns. I do not use delta or flag historisation btw. What tasks in SSIS would you suggest to use?
BTW I'm new to SSIS... ;-) Thanks in advance!
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Aug 15, 2007
I'm putting together a Kimball method SSIS package. My factSales table has an OrderRep key. If a match isn't found in the dimRep table I am inserting a dummy dimRep row and going on. That seems to be working.
My question is what do I do when the OLTP sales row has NULL for the OrderRep. This is possible; every sale does not have to have an order rep. My package is seeing that as a non match and trying to create a dummy row in the dimRep table for every NULL. I really don't want to do this. I can trap for the NULL rep and convert it to "unknown" or something but then the program would still create a single row in the dimRep table for unknown. Is that the best way to handle this? Or is there a way to trap for NULL and ignore the entire lookup process? A conditional split before every key lookup?
I have about 5 or 6 other dimension tables that will have the same NULL possibility.
Thanks.
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Sep 22, 2006
Hi ,
I have situation where I get data from SRC Flat file and have to load Dimensional table and also fact table, using same data flow(have no other choice since I have to unpivot some src data). Since I have to load both tables in same data flow, I have to have a way to put load ordering constraint (I know informatica allows that). Does any one have any idea on how this can be done in SSIS?
I would be really grateful.
Thanks
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Aug 25, 2006
Hi All,
I am just curious to know how I can load data from a data warehouse to an Analysis Service Cube (both to the fact tables and dimensions).
Does any body have some way to achieve this?
I appreciate if any body provide me a good material which describe this scenario.
Sincerely,
--Amde
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Jul 27, 2007
I'm loading a fact table that has several geographic attributes - some are at the state level, some are at the county level, and then some are drilled farther in that that. I understand the basic concept of the dimension with the ragged hierarchy, but unsure of how to load to the fact table using lookups based on these geographic units. For example, if my geographic dimension contains 200 records for the state of Wyoming, basically a record for each fine-grain place (i.e. city/town), then how do I go about doing a county lookup. Wyoming only has 23 counties, but because of the repetitive nature of the dimension attributes that are not at the finest grain, I'll get more records in the lookup than I need. This activity repeats of course while I move up the geographic scale to state, then country. How do I configure/fill my dimension to handle these differing scales of data?
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