I built my first tabular model and see that my fact tables are also appearing as dimensions. In Multi dimensional mode i could choose which are the dimensions. How do i do that in tabular model.
View 2 Replieshow to set 'Ignore Unrelated Dimensions' property in Tabular Model.
View 3 Replies View RelatedI am modelling two fact tables of Actuals and Budget which are at different granularity, Actuals are at day, customer and product sub category level. Budgets are at month, Region and Product category level.
Month, Region and Product Category is present in Date, Region and Product Category dimension respectively. I have only three dimensions as Customer, Product and Date. Linking those dimensions to Actual Fact table is not an issue, what is the best way and options are there to link budget fact table to those three dimensions.
I am building a health care application that marries transaction-level data (health care services provided) with person-level characteristics that have a time-dimension. The person-level characteristics are diseases that the person has (these disease all have a start and some have an end date). The diseases are stored in a table in which the foreign keys are a person-identifier, a time identifier (month/year) and a surrogate for the disease. Persons can have more than one disease at a time (the diseases are NOT mutually-exclusive). There are no measures in this table. The transaction table has a foreign key for person and time (month/day/year), a procedure code (the type of service rendered) and money (the cost of the services).
How do I answer the following questions:
What is the total cost of care (the sum of all service costs) last year for persons with "disease A"?
What is the total cost of care last year for persons with "disease A" AND "disease B"?
What is the total cost of care last year for persons with "disease A" OR "disease B"?
I've tried a factless fact table but can't get it to work. If anyone has the right solution and can communicate to me before I slit my wrists, I would be greatly appreciative!!!
I have a Tabular model, it has 8 tables , 7 of the tables process in 3 mins, but the main table is 22.3gb in size//I am processing the table on a 64 bit pc with 8 gb ram to the local instance from a Production server//At this rate it will take days to process the Main table 22.3gb, the main table was running off a view but I have inserted the data into TableA and updated the model///Only other optimization process I can think of is copying TableA to my local machine but the performance to the Server on the network is not an issue.I am just process the main table for the last 4 hrs and it is only at 11.7 mill records out of 124 mill total @ this rate it will take 44 hours
Size: 22342752 KB
CREATE
TABLE [dbo].[StagingTablevwKeyEventsfact](
[PKID] [bigint]
NULL,    Â
[ManufactureGeoLocationCode]
[nvarchar](14)
NULL,
    Â
[code]....
Hello Everybody,
Can anybody please let me know the procedure for loading data into Dimensions & Facts? And what is the sequence of loading?
Thanks in Advance
Rajesh
We have a requirement to convert Tabular model to Multidimensional as few functionalists like actions does not support in tabular. Looking for list of things needs to take care to convert tabular solution to Multidimensional.
View 2 Replies View RelatedI have been looking at implementing a tabular model based on an OLTP database that's not dimensional. I know that this is possible but during my proof of concept I have encountered numerous problems ...
The things that I have run into are: After setting up the relationships I have found that measures filter context don't propagate along the relationships as I would expect. if the measure is coming from a target table and not a source then an ALL member is returned ( as in multi dimensional when a dimension isn't related to a measure group). Given the lay out of an OLTP database this will be hard to avoid.
One thing I have done to try an mitigate the above problem is to combine the tables used for measures in a view and using that in the source to connect to the rest of the tables. however due to the tables being of different grains this has then created duplication in some of the keys and measures. so the keys cant be used in relationships and the measures aren't accurate.
Are these things other people have come across? or should I give up the ghost and just recommend using dimensional models for the source? is tabular just geared towards a DW the same as multidimensional?
I'm using SQL Server 2012 Bi edition.
I created a model in Visual Studio 2012 and when I process the model, most tables (the ones that should) process 77,546 records and that is reflected in VS.
However, when I deploy the model to the server it is only deploying 76,500 records for those tables.
Where those 1,046 records went to? Is there a setting that limits the records to be deployed? My base tables in the Data Mart have 77,546 records, just as in my Visual Studio model.
how can i automatically update my tabular model in the future when there's an update in my database.
View 4 Replies View RelatedI get the following error while processing a SSAS tabular model (2014) on a new server.The SSAS service on this server is running under a login which has access to the SQL server data sources. I tried changing the provider to OLEDB from SQLCLNI11 in the connection string but that doesn't work too. The error message isn't useful to debug further.
The cube processing succeeds on a different server. I scripted out the cube DB and ran it on the new server and am trying to process full but it fails with the following error.
Error Message:
The operation failed because the source database does not exist, the source table does not exist, or because you do not have access to the data source.
More Details:
OLE DB or ODBC error: A network-related or instance-specific error has occurred while establishing a connection to SQL Server. Server is not found or not accessible. Check if instance name is correct and if SQL Server is configured to allow remote connections.
For more information see SQL Server Books Online.; 08001; SSL Provider: No credentials are available in the security package
; 08001; Client unable to establish connection; 08001; Encryption not supported on the client.; 08001.
A connection could not be made to the data source with the DataSourceID of 'd7a37dae-be87-44e0-a8b2-498069af82c9', Name of 'connection name'.
An error occurred while processing the partition 'XXXX_460f3467-1a99-4dc9-aaf2-bcf3d54a5c4c' in table 'XXXX_460f3467-1a99-4dc9-aaf2-bcf3d54a5c4c'.
The current operation was cancelled because another operation in the transaction failed. The operation failed because the source database does not exist, the source table does not exist, or because you do not have access to the data source.
We are working on implementing DAX formula(s) on our tabular model (SSAS 2012). When we tried to deploy the solution, deployment wizard giving us then below error:The given key was not present in the dictionary...I checked all the formula(s) that we recently implemented and all looks fine.
View 4 Replies View RelatedI'm working on a Tabular model at my job since the users have a requirement to query against a live data source. I've been looking online for clients that issue DAX as opposed to MDX to the model, but besides SSRS and Power View, I could not find anything else. Any other client side interfaces to a DirectQuery Tabular model?
View 2 Replies View RelatedI have a separate date dimension marked as Date table in Tabular Model and having proper relationship with another table(e.g SalesTable) with column of date type. But still time intelligence functions are not working. I am using the date column from other table (e.g SalesTable) in the formula. What exactly going wrong in our tabular model.
View 3 Replies View RelatedI 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 ?
I'm currently setting up a Tabular Model to do some research between several fact tables. Â In this example i have two fact tables (table 1 and table 2)Â which I've created a 1 to 1 relationship on phone number. Â Typically I create a relationship between these tables to find common data between the two. Â However, in this case I am trying to figure out the best way to model the data so that I can easily surface data from one table that does not exist in the other. Â I would liken this to a LEFT JOIN or a WHERE NOT EXISTS in SQL.
Table 1 has all of the data and Table 2 Only has a subset of the data from Table 1. Â What I'm trying to do here is display what attributes in Table 1 may play a part in records not existing in Table 2. What is the best way to model this?
Hi,
I am relatively new to SSIS/SSAS. I have searched the forums but cannot find an answer to my question.
I created a cube in SSAS and have deployed it. Now I am trying to use SSIS to populate the cube. I have setup a DS that points to the SSAS instance - it uses OLEDB Provider for Analysis services 9.0.
When I try to use a data flow task OLE DB source to truncate the dimension/cubes I do not see the DS in the list to select?
I am finding it hard to get into the SSIS way of organizing the processing.
Any Ideas?
Hi,
I have 2 fact tables and 2 dimensions (one of them is time).
fact1 ---- pk-fk ------ fact1-details-table
(date) |
| Dimension.
|
TimeDim
Is there a way to define measure group on fact1-details-table using TimeDim. Date info is only in fact1 table and not in details table.
Is namedquery joining the 2 fact tables the best solution in this case? There is so much redundancy using one fact table, so underlying sqldb uses 2 tables.
Thanks,
Chandra.
What are the general guildlines for choosing these settings, like paralle vs. sequential, different error configurations? The default selection for processing multiple dimensions is paralle and use default error configuration. But the default for processing multiple partitions is sequential. I cannot find anything helpful other than the definitions from the online help. TIA.
Hi,
I use lookups to map surrogate of level 1 dimensions to my fact tables in SSIS.
But how to handle a level 2 dimension with a ValidFrom and a ValidUntil date field?
I do not use an IsCurrent column, because this could problem with late arriving facts.
- In dts I used an SQL statement like this:
update SA
SET SA.DimProdRef = Dim.RecordID
FROM SAWarenEingang SA, DimProd Dim
where SA.ProduktNumber = Dim.ProduktNumber
and SA.ArtikelkontoBewegungsdatum between Dim.ValidFrom and Dim.ValidUntil
Now in SSIS I want to handle the whole thing in the data flow without using a staging table:
- Using Lookups: I would have to pass the date column for each inside the fact table into the lookup. That does not work.
- Using Execute SQL in the data flow: would be very slow, because the statement will be executed for any line in the dataflow
Any ideas?
Best regards,
Stefoon
I have a question about partitions in both SQL Server table and Tabular Model. I started to use Tabular Model recently.
I need to partition a table that collects daily rows for different clients.
The natural partition key is a combination of clientID+dateID (something like CL-YYYYMMDD)
I created a configuration table with a primary key PartitionID IDENTITY(1,1) , that contains also the field clientID and dateID
Every day I add a new row in it and I get a partitionID for the new client and date
Then I created a partitioned fact table using PartitionID as the partition field, using the partition function and the partition schema as well.
The daily client data is inserted in the partitioned table using the partitionID
Everything works fine, and the data are loaded correctly into the partitioned fact table.
Then I created a Tabular Model where the fact table is the partitioned table, and I created tabular model partitions using something like "select <field list> from PartitionedTable where partitionID = <partitionID>"
In this way, every day I load partitioned data in both sql server and tabular model. I have two dimensions, client and calendar
Now my question is: when I browse the Tabular Model, and I'm selecting a specific dimension date and dimension client, am I using the partitionID index correctly?
Or should I put in the tabular model partition query something like "select <field list> from PartitionedTable where clientID = <clientID> and dateID = <dateID>"? In this case is still working the partitionID index? How can I check it?
In Analysis Services is there a way you can change a private dimension into a shared dimension without having to recreate it
View 1 Replies View RelatedI have a problem where I have 3 three measures in a virtual cube:
"Actual", "Budget" and "Full Year Budget".
The dimensions I have are:
- Account No_ / Name
- Cost Code
- Sub Cost Code
- Time/Dates
- Budget Name
Both "Actual" & "Budget" measures need to be filtered/dimensioned by:
- Account No_ / Name
- Cost Code
- Sub Cost Code
- Time/Dates (exclusive to "Actual", "Budget")
Thus have put these in one cube
AND "Full Year Budget" needs to be filtered/dimensioned by:
- Account No_ / Name
- Cost Code
- Sub Cost Code
- Budget Name (exclusive to "Full Year Budget")
THUS have put this as one cube…
I then created a virtual cube, with the 2 cubes thinking that the dimensions I created in the original cubes would only filter the measures of the original cube measures in the virtual cube. ...BUT all dimension filters in the virtual cube filter all measures in the virtual cube, irrespective of which dimensions were created with the original cubes.
please help!
I'm new to MDX, and most of the time I customize existing queries rather than writing new ones. I currently have a MDX query like this
SELECTÂ
[Measures].[Fees Billed]
         on 0,
except([Age].[Day Buckets].members, {[Age].[Day Buckets].[All], [Age].[Day Buckets].&[Unknown]})
 on 1
FROMÂ
   MyCube
WHERE ([Fiscal Period].[Fiscal Year].&[2015], [Customer].[City].&[Auckland] )
Which brings the fees billed by age buckets where the customer's city is Auckland. I also have another dimension called [Sales Agent] with a member [City] in it, and there is a member in [Customer] called [Customer].[Sales Agent]
I am trying to retrieve the same information where the customer's sales agent's city is Auckland rather than the customer's city.
If it is SQL, I will join Customer and SalesAgent on Customer.SalesAgentUno = SalesAgent.SalesAgentUno and bring in the desired data. Any way in MDX to do this?
I need to show the dimensions of my model like columns in the result. I have this query
withÂ
member [Measures].[Customer] as [Customers].[Customer].CURRENTMEMBER.Name
member [Measures].[UCs] as [UCs].[UC].CURRENTMEMBER.Name
member [Measures].[Order Type] as [Order Types].[Order Type].CURRENTMEMBER.Name
member [Measures].[UC Dates] as [UC Dates].[UC Date].CURRENTMEMBER.Name
[Code] .....
I am trying to learn building SSAS tabular model. While following a tutorial I need to add a column to an existing table but for some reason the ADD Column option (insert column in other menu is also not appearing) is greyed out.
View 4 Replies View Relatedi have a model contains fact of account revenue , a time dimension and scd of account.
the scd (type 2) is changing when an account get a new color.
when i queries the model by PowerPivot i sometimes get wrong color for an account in a date priod , for example , I would expect to see color 3 for account 1 at 04-06-2010 , But instead I see  color 1 - as you can see in the picture bellow.
FACT , SCD :
Result
i process all , deploy , mark dim_time as date dim , and i still cant find the error.
Actually I want to do distinct sum on a measure group, please find the below table as sample
XL Measure group
LKÂ Â Â Â OKÂ Â Â Â Â Amount
1Â Â Â Â Â Â Â 10Â Â Â Â Â Â Â Â 100
1Â Â Â Â Â Â Â Â 11Â Â Â Â Â Â Â Â 100
3Â Â Â Â Â Â Â Â Â 30Â Â Â Â Â Â Â 250
3Â Â Â Â Â Â Â Â Â 31Â Â Â Â Â Â Â 250
3Â Â Â Â Â Â Â Â Â 32Â Â Â Â Â Â Â 250
For the above measure group two dimensions have relationships, One is L dimension which is having relationship with XL on LK and One is O dimension which is having relationship with XL on OK. If I drag L dimension attributes  it should show results as below
LK LName Amount
1Â Â Â Â AÂ Â Â Â Â Â Â Â 100
3Â Â Â Â CÂ Â Â Â Â Â Â Â Â 250
But above results are coming as below
LK LName Amount
1Â Â Â Â AÂ Â Â Â Â Â Â Â 200
3Â Â Â Â CÂ Â Â Â Â Â Â Â Â 750
If I drag O dimension attributes along with L dimension, it should show results as below.
LK  LName  OK     OKName  Amount
1Â Â Â Â Â Â Â Â AÂ Â Â Â Â Â Â Â 10Â Â Â Â Â Â XYZÂ Â Â Â Â Â Â Â 100
1Â Â Â Â Â Â Â Â AÂ Â Â Â Â Â Â Â 11Â Â Â Â Â Â UVWÂ Â Â Â Â Â Â 100
3Â Â Â Â Â Â Â Â CÂ Â Â Â Â Â Â Â 30Â Â Â Â Â Â PQRÂ Â Â Â Â Â Â Â Â 250
3Â Â Â Â Â Â Â Â CÂ Â Â Â Â Â Â Â Â 31Â Â Â Â Â KLMÂ Â Â Â Â Â Â Â 250
3Â Â Â Â Â Â Â Â CÂ Â Â Â Â Â Â Â Â 32Â Â Â Â Â TUVÂ Â Â Â Â Â Â Â 250
I used formula Measures.Amount/Measures.Count, this formula is not showing correct results when I don't drag any dimensions, it is showing results for All member as 425, but it should show as 350.
So I made a same change ([L].[LK].Currentmember, Measures.Amount)/([L].[LK].Currentmember,Measures.Count), this worked fine but performance is very low and so stopped working on this.
Atlast I did the measure group like this
LK    OK     LAmount  OAmount
1Â Â Â Â Â Â Â 10Â Â Â Â Â Â Â Â 100Â Â Â Â Â Â Â 100
1Â Â Â Â Â Â Â Â 11Â Â Â Â Â Â Â Â 0Â Â Â Â Â Â Â Â Â Â Â 100
3Â Â Â Â Â Â Â Â Â 30Â Â Â Â Â Â Â 300Â Â Â Â Â Â Â 300
3Â Â Â Â Â Â Â Â Â 31Â Â Â Â Â Â Â 0Â Â Â Â Â Â Â Â Â Â Â 300
I want to show Measures.LAmount when only L dimension is querying and want to show OAmount when both L dimension and O dimension are querying. Is this possible ?
SSAS 2008 R2
Is it possible to filter out a measure only at the intersection of Two dimension members? I have a date dimension, Â a Hospital dimension and a wait time measure.
For Example, is it possible to filter out Wait time for Bayside Hospital for the Month of June 2015?
I want Wait time to continue to be displayed for all other months and roll up into the totals without the filtered value.
I have make a calculated member for previous period of an given date range. The previous period is the same date range from the previous year, and I have managed to achieve that with the calculated member:
Create member currentcube.[Measures].[PrevPeriod] as
(ParallelPeriod( [Start Date].[Cal Hierarchy].[Year], 1, [Start Date].[CAL Hierarchy].CurrentMember), [Measures].[Count]);
This member returns the correct result as long as my query uses the time dimension, which makes sense... but I also need to show results sliced by other dimensions in bar charts that do not display the time dimension. For example, I have a dimension with only 3 members called [Region].[Area].[AreaName].
The result set for the bar chart needs to look like this:
[AreaName]Â | [Count]Â |Â [PrevPeriod]
East           |   43     |      56
West          |   53     |      95
But the [PrevPeriod] only returns values if I include the time dimension. I essentially need to sum the results of the time dimension/AreaName/[PrevPeriod] tuple down to just Areaname/[PrevPeriod] for whatever date range may be involved.
I don't know if this is significant to the issue, but the client tool that generates the bar charts builds the query with the date range as a subcube in the FROM statement. If the [PrevPeriod] is outside of the subcube that is still OK, as long as the time dimension is included in an Axis on the final select statement, so at least I know I am not suffering from the members inside the subcube. I've also found in SSMS that it makes no difference if I make the query a subcube, or put the date range in a where clause instead; I still get NULL for [PrevPeriod] without the dates.
I can't imagine that this is an unusual situation, so I hope I've explained it adequately! What is the recommended technique for summarizing a Parallelperiod by dimensions without displaying the time/dates ?
I have a cube with 2 many-to-many dimensions where a special mdx query needs about 5 seconds. When I resolve the many to many relationships by multiplying the data in the fact table the query needs 21 seconds.
In general do many-to-many dimensions slow down query performance of a cube?
Without the many-to-many dimensions of course the fact table has much more rows. Could this be the reason for the performance loss?
how to tweak query performance of a cube in general?
I have been living in the T-SQL world for years, and am working on my first Tabular model.
I have a fact table that I would like to use for many reports. My idea is that I would use Perspectives in the tabular model to pull in the columns that I need for each purpose. In some cases, I also need to filter out some rows. Is there a way to filter perspectives? The only solution I am coming up with is to create views in SQL Server and import the fact table multiple times for each purpose. That doesn't seem very efficient.
My boss and I attended the SQL conference in Vegas a few years ago. He remembers a session on tabular where the presenter said when the underlying table that tabular is built on changes, it automatically refreshes the tabular db. Now that we're working on a tabular project I'm looking around for this information and don't find anything like that happens. From what I can see, the refresh either has to be scheduled from a task, or manually refreshed by right-clicking the db and selecting "process db". He said the session presenter was a Microsoft Program Manager too. Is there any truth to what he remembers?Â
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