Hello
I am a newbye with Analysis Services and am desperately trying to find a way to include a calculation between one of my measures (Teus), divided by the vessel capacity, where vessel is one of my dimensions (and is therefore not depended on other dimensions...)
Any ideas how I could implement that ?? This would help a lot, thanks for your help,
Aurore Bui.
HI,
I had to change the key columns of a dimension attribute to fix an error. I did this in BIDS. The change was from a single key column to a composite key column. Now I am getting these error when I process the cube:
Measure group attribute key column x does not match source attribute ..
I looked at the cube XMLA definition under mesaure groups and it still shows a single key column with inherited binding. However, the BIDS does not give me an option correct this in any way. I have had to do this once before and the only option seems to be removing the dimension from the cube and add it back in. But that is very error prone since I lose any specific settings at the cube dimension level not to mention aggregations no longer include the dimension, etc.
Not seeing an alternative, I went through each measure group (I have 7) and changed the key columns manually in the XMLA and saved the cube. This worked, but I don't understand why BIDS automatically doesn't do it.
Is this a flaw in the BIDS or I should be missing something.
thanks
MJ
getting Correct Measure based on Member Present in Other Attribute .
I am working on SSAS 2012 and have cube build and ready ..
I have Two Measure in Cube
[MEASURES].[Actual] and [MEASURES].[Target] and I need to create One more Calculate Measure
I have dimension DimProduct
I want to Display [MEASURES].[Actual] if Color "Purple" is present for PRODUCT1 Else Display [MEASURES].[Target].
MDX to create Calculate Measure for this logic?
Hello
I am a newbye with Analysis Services and am desperately trying to find a way to include a calculation between one of my measures (Teus), divided by the vessel capacity, where vessel is one of my dimensions (and is therefore not depended on other dimensions...)
Any ideas how I could implement that ?? This would help a lot, thanks for your help,
Aurore Bui.
I am trying to calculate the sum of gross sales over a rolling 6 month period in PowerPivot and don't even know how to start.
View 2 Replies View RelatedMany dimensions don't have unique members. Instead, the dimension source data has duplicates at the leaf level: it's left up to SSAS to aggregate up to the actual leaf level used in hierarchies.
Every cube I've worked on in the past, a dimension is clearly defined in the source data, with uniqueness already present there: we don't make a dimension out of duplicated, sort of facty data. This kind of design seems as weird to me as an unnormalised SQL database.
Here's an example to illustrate what I mean; I'll use that Adventureworks database.
We have a Geography dimension with a Geography hierarchy. Levels go like this from top to bottom:
Country
State-Province
City
Postcode
The Geography dimension has a key attribute called Geography Key. It's there in the cube design as a dimension attribute, but it's not in any of the hierarchies, so I can't query it in MDX. But that's fine: it has the same cardinality as the lowest level (Postal Code), because the dimension has some kind of normal design.
In the cube I'm dealing with, it's all messed up. Using the AdventureWorks example above as a parallel, someone made a Geography dimension with source data keyed on [PostalCode, ExactAddress], but only wanted the dimension granularity to be PostalCode.
This makes it very hard to debug why the data in this dimension is incorrect. I can't match up the dimension members in the cube to the source data, because the dimension doesn't actually go down to the real leaf level!
So I have a dimension attribute called ExactAddressKey, but I can't query on it in MDX, because it's not part of any dimension hierarchy. Unfortunately changing any part of this cube design is not possible, so I can't even experiment with settings and see what happens.
How I could get to the leaf level of the data imported? Something like
Geography.Geography.TheInvisibleLeafLevel.Members.Properties('Key')
Or does this kind of dimension design result in SSAS discarding all the data that's more granular than the most granular attribute defined in any hierarchy - so that the data actually isn't there to be queried?
Hello SSAS gurus,
Recently i started learning working on Analysis services and writing MDX expressions, so please forgive my ignorance if this is a trivial question.
I ran out of s. Don't know what I should do to fix this. Please point me in the right direction.
We have a cube with one fact table(Imperative Fact) and two dimensions (Client, Client Imperative). A Client has several Imperatives. One of the attributes of Client Imperative dimension is Target Outcome. This is a text field.
We created a measure Client Imperative Count that gives the number of imperatives a client has.
The business defined 'Client Imperative' KPI as following :
If client has 1 or more imperatives and has Target outcome then show green. If client has 1 or more imperatives and does not haveTarget outcome then show yellow. if the client does not have imperative then show red.
Wrote the following KPI Status expression but it doesn't seem to work. Hitting a dead end. couldn't figure this out.
Code Snippet
Case
When
[Measures].[Client Imperatives Count] > 0
And
([Client Imperatives].[TRGT OTCM].currentmember <> null)
or
(Not IsEmpty([Client Imperatives].[TRGT OTCM].currentmember))
Then 1
When
[Measures].[Client Imperatives Count] > 0
And
([Client Imperatives].[TRGT OTCM].currentmember = null)
or
(IsEmpty([Client Imperatives].[TRGT OTCM].currentmember))
Then 0
Else
-1
End
Tried [Client Imperatives].[TRGT OTCM].value but didn't work.
Also, tried to create a calculated member for Target Outcome using following code. It is not working either.
Code Snippet
CALCULATE;
CREATE MEMBER CURRENTCUBE.[MEASURES].[Target Outcome]
AS case
when
[Client Imperatives].[TRGT OTCM].currentmember = [Client Imperatives].[TRGT OTCM].&[]
then 0
else 1
end,
VISIBLE = 1 ;
Trying to figure this out since two days. Somebody please help me.
I appreciate your help.
I have date and float in attribute in a dimension table. If deploy my cube and I try to create a report with RS, I can't format this data. The value seems to be a String so I have to do a CDate or a CDbl before formating it.
I have no problem when I try to format my measures.
Thanks for your help.
Cheers,
I have 2 dimensions that pull their Facility Name from the same Location Dimension. The business users want to change Facility Name in the Material Facilities dimension to “Material Facility Name”, but keep Facilities dimension attribute the same. What is a good way to go about completing this task.
View 2 Replies View RelatedI have created SSAS Tabular model project.
I have dimensions like XYZID, Names, Zone etc.
When I create a measure using count function for XYZID. The name of the measure is Count of XYZID.
Its the same which gets displayed in Excel while I connect the model.
How to rename the "Count of XYZID" to ABC ??
I am unable to find solution for the problem while writing a Named Set in my cube.
I have a calculated measures which gives me difference in Sales in PERCENTAGE (%).
When I try to filter out those product codes which went a less than 5 %, I get no records.
I have also tried to filter direct values lets say - Products with sales > 100000 which is working fine.
Following is sample of my Named Set
FILTER([X].[Products Code].members, [Measures].[Diff in Sales]<5)
I believe as the values are in percentage, I am facing this issue.
hi all,
I was wondering if it is possible in SSAS 2005 that a calculated member is based off of an (integer) dimension attribute and another (integer) measure (let's say a multiplication operation) ?
If there a trick on doing so? other than stuffing the (integer) dimension attribute back in the fact table, as an measure?
thx much,
Cos
Hi all
Probably not the right forum - pointers would be appreciated - but I'll give it a try anyway:
I'm in the process of designing a relational database to be used in a BI scenario - ie. dimension and fact tables. The data will eventually be used to feed cubes in Analysis services, however end users will probably be allowed to run reports aginst views of the relational database.
I'm currently looking at the employee dimensions and my first try would designate AGE as a SCD Type 2 attribute. As a result every employee gets at least one new record every year as AGE increases. Given that BIRTHDATE is specified should I drop AGE from the tables and recreate it as a computed attribute in database views and/or cubes?
Regards, Steen
I have a cube with a fact table and 3 dimensions. One of the dimensions is a type 2 and surrogate key is stored in fact table. If i query the database, the dimension attributes display correctly, however the cube is always displaying the latest dimension attribute and not preserving the history.
The measures are correct for the time period displayed, but the dimension attributes always show the latest values.
I am in the process of develping a MSRS report using an MSAS 2005 OLAP cube as my data source. In the MSRS Query Builder, I am using an MDX query which successfully executes in Management Studio. Something like the following:
SELECT
NON EMPTY { [Measures].[Fact Count] }
ON COLUMNS,
NON EMPTY{ ( [Dim Attribute].[Hierarchy Not Visible].ALLMEMBERS) } DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME
ON ROWS
FROM [MyCube]
CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS
The twist is that the AttributeHierarchyVisible property of the [Dim Attribute].[Hierarchy Not Visible] is set to False.
As mentioned previously, the query successfully executes in Management Studio. However when it is executed in the MSRS Query Builder, the following error message is displayed:
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)
Is there a way to successfully query dimension attributes whose hierarchies are not visible?
Thanks.
In my SSAS Cube I have created a dynamic named set "top 10 e-learnings by language" which consists out of a set of tuples. Each tuple has two attributes out of the same base dimension "training": attribute 1 is "sprache" (language) and attribute 2 is "training text".
CREATE DYNAMIC SET CURRENTCUBE.[Top 10 eTrainings pro Sprache]
AS Generate(
{ [Training].[Sprache].[Sprache].Members },
TopCount(
EXISTING { [Training].[Sprache].CurrentMember * [Training].[Training Text].[Training Text].Members },
10,
[Measures].[Teilnahmen eTraining]
)
), DISPLAY_FOLDER = 'Training' ;
Normally a named set would be automatically visible in Excel Pivot under the dimension you used to create the named set, but it seems that named sets with tuples which have more than one attribute are placed in a separate folder "Sets" in between the measures and dimensions.Additionally in the SSAS cube browser this named set is not visible at all.Is there any way to tell the named set in which dimension it should appear or any workaround?
i want to create a new measure that will behave based on the dimension dropped,ex. if i added the employee dimension only it will aggregate data from the #Calls Count but if i added the product dimension it should display # Product Calls at the product level and #Calls Count at the employee level as shown in the screen shot.
View 7 Replies View RelatedI 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?
I have a Slowly changing dimension that I am using to
populate a dimension table. My problem is this when I run the package and
any of the fields are marked as Historical Attributes it will add an additional
row regardless of the fact that the incoming data and the data in the warehouse
match exactly.
I've tried several things to fix this problem but so far none of them have
worked. Some of the things I have tried that havent worked are to match
all the data types (which I have to do anyways) I've tried trimming the
strings, I've also tried adding just one column
I am using a data conversion to convert them from varchar (the source datatype)
to nvarchar(the warehouse datatype)
I'm at a dead end here and don't know where to go any help would be greatly appreciated.
Thanks
I have built a fact table and few dimension views in Datamart with the aim of creating a Cube.
On the Fact table I have added a CASE Statement with the following threshold for Premium due amounts:
CASE WHEN....
'Due_0-1_Month'
'Due_1-2_Month'
'Due_2-3_Month'
'Due_Over_3_Months'
'Overdue_0-1_Month'
'Overdue_1-3_Month'
'Overdue_3-6_Month'
'Overdue_Over_6_Months'
...END
I then created a Dimension to link this to:
CREATE VIEW...
Select 'Due_0-1_Month' as Ageing_Threshold
union all
Select 'Due_1-2_Month'
union all
Select 'Due_2-3_Month'
[Code] ....
I was successful in processing the cube, however the problem is everytime I drag the dimension on the columns field in Pivot tables the Thresholds start to break up the other amounts that I have on display like Acquisition Costs, Tax amounts. I am only interested in showing the breakdown of Premium amount measure by the Threshold dimension.
somehow 'Hide' or 'prevent' the Threshold dimension from breaking down the other measures on the Pivot and only breakdown the amounts for Premium?
how I should structure my tables in SQL or any MDX queries to resolve this.
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.
I am trying to implement data masking based on user login and not sure why this is not working. I have the dimensions DimBrand, DimProduct and DimUser. I should mask the BrandCode with 'XXXX' nothing but in the report all the BrandCode should appear but few of the code will be masked if the user is not belongs to that group. I have a fact table FactProduct in this. In the cube I created all these 3 dimensions and the fact table. I created a new dimension DimBrandMask and I separated the code over there with a relationship with the actual DimBrand dimension. In the cube a reference relationship is set up with the measure group. Created a role with read access.
In the dimension data tab of role I put the below MDX to allowed set.
NonEmpty([DimBrandMask].[Brand Code].Members, (StrToMember("[DimUser].[Login Name].[Login Name].[" + UserName() + "]") ,[Measures].[Dim User Count]))
And in Denied Member set i put the below MDX
IIF( (StrToMember("[DimUser].[Login Name].[Login Name].[" + UserName() + "]"), [DimUser].[Access Right].&[False]), NONEMPTY( [DimBrandMask].[Brand Code].Members,(StrToMember("[DimUser].[Login Name].[Login Name].["
+ UserName() + "]"), [DimUser].[Access Right].&[False], [Measures].[Dim User Count])),{})
Note I created one measure group from the DimUser table and the measure [Dim User Count] is used in the above query.
I am expecting some result like below
Brand BrandCode Count
Brand1 b1 6
Brand2 XXXXX 5
Brand3 XXXXX 10
We are trying to do some utilization calculations that need to factor in a given number of holiday hours per month.
I have a date dimension table (dimdate). Has a row for every day of every year (2006-2015)
I have a work entry fact table (timedetail). Has a row for every work entry. Each row has a worked date, and this column has a relationship to dimdate.
Our holidays fluctuate, and we offer floating holidays that our staff get to pick. So we cannot hard code which individual dates in dimdate as holidays. So what we have done is added a column to our dimdate table called HolidayHoursPerMonth.
This column will list the number of holiday hours available in the given month that the individual date happens to fall within, thus there are a lot of duplicates. Below is a brief example of dimdate. In the example below, there are 0 holiday hours for the month of June, and their are 8 holiday hours for the month of July.
DateKey MonthNumber HolidayHoursPerMonth
6/29/2015 6 0
6/30/2015 6 0
7/1/2015 7 8
7/2/2015 7 8
I have a pivot table create based of the fact table. I then have various date slicers from the dimension table (i.e. year, month). If I simply drag this column into the pivot table and summarize by MAX it works when you are sliced on a single month, but breaks if anything but a single month is sliced on.
I am trying to create a measure that calculates the amount of holiday hours based on the what's sliced, but only using a single value for each month. For example July should just be 8, not 8 x #of days in the month.
Listed below is how many hours per month. So if you were to slice on an entire year, the measure should equal 64. If you sliced on Jan, Feb and March, the measure should equal 12. If you were to slice nothing, thus including all 15 years in our dimdate table, the measure should equal 640 (10 years x 64 hours per year).
MonthNumberOfYear HolidayHoursPerMonth
1 8
2 4
3 0
4 0
5 8
6 0
7 8
8 0
9 8
10 4
11 16
12 8
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.
View 4 Replies View RelatedIn my cube there are two measures which are used in different calculations.Now I'm need to show in report if there any months in data when both or even another one of the measures is not updated (value = 0 or NULL).
how should I create the calculated measure for that?
I have tried in mgmt studio to plan this but I'm in a loop of errors.
Hi,
I am wondering how to create a matrix that contains 1 dimension for Top Label (Column), let's say "Year-Month"
and then 2 Measure to be in the row format rather than columnar format.
Example as below :
Year-Month on the column, and the measure is on the row :
2007-04
2007-05
2007-06
Amount Sales
1000
2000
3000
Unit Sales
10
20
30
Total
1010
2020
3030
Please share with me if you have this solution in Reporting services as it works in excel, hyperion brio, bo, cognos but somehow cannot see that function in Reporting Services.
Thanks
best regards,
Tanipar
I want to insert attibute att1 in field F1 . Value for this attribute is content of another field in this table (F2).
My query :
update MyTable
set F1.modify
('insert attribute att1 {sql:column("F2")} into (/ROOT/Node1)[1]')
Where F1 Is not null
But I get this error :
XML well-formedness check: Duplicate attribute 'att1'. Rewrite your XQuery so it returns well-formed XML.
How do I check the douplicate attribute ?
In SSAS, I want to add a calculated measure and set that measure as the Parent of existing measure. For example I have the measures as A and B from the fact table. Now i want to add a calculated measure as C and set this measure as Parent for measures A and B. How to do that in SSAS.
View 4 Replies View RelatedI want to filter a measure based on another measure (both are measures on the same FACT table).Distinct Number of Users HAVING.User Cost above 0.
I tried doing having but because it’s two measures and not a tuple with a dimension it writes an eror.My query is something like:
SELECT
[Measures].[Distinct Number of Users ]
having [Measures].[User Cost] >0
ON
COLUMNS,
[code]....
Please note, that I want it in a MDX query not needing to change the cube or DWH table.
So far we are happy with MS OLAP 2000 service.
In the past we did cubes with aggregation method using summary.
MS OLAP server allows aggregate functions (Sum, Min, Max, Count, and Distinct Count).
But now the customer wants to know percentage of SUM(measure A) /SUM (measure B) in different levels and dimension combination.
Any idea?
Hi!
Need some help building a query that does the following :
I have 2 Time Dimensions ; Time (Transdate) and ClosedDate (ClosedDate)
In my report/query, if [Time].CurrentMember = [Time].[YMD].[YMD].[2006].[200610].[20061031] I want to FILTER out all ClosedDate < [ClosedDate].[YMD].[YMD].[2006].[200610].[20061031]
Both Time Dimensions are Year -> Month -> Day and have the same Members.
I have every option available, using calculated Members and/or Measures to do this.
The report I'm creating is Aging of Receivables : Balance / 30 days / 60 days / etc.. But for the Aging, I need to filter like explained above.
Appreciate all help!
Regards,
Stian Bakke
Hi,
easy question for advanced users:
I have a dimension called "Movement rate". The members are "1" to "6".
There is a measure called "No. of Products".
What i easily like to do is showing the percentages "No. of Product" for each "Movement rate" of the amount of "No. of Products" without using the frontend-tool.
Thx in advance for any help.
Andreas
There is count measure in the cube. I need to create a dimension that should list the range of values based on that count values:
Exp:
0-99
100-199
200-399
...
....
..
and so on.
User wants to pick the any range level in the dimension and cube should show corresponding cell values of count measure which would fall into range of the dimension level value.
For example:
if user picks up level 100-199 then cube would filter cell values of measure that has a value between 100 and 199 within 12 month range. So, it would be year to date value of the measure. My problem is how go about creating Dimension that based on measure in the cube and dimension should have level with range of measure values.
Any hint would be appreciated greatly.
Thank You.