Distinct Count Measure Total in Two Dimensions

I have a report that pulls data Site and then drills down to User for Content Usage for Six Months. These are separate dimensions in the cube. I have a DistinctContent Measure that pulls for both Site and User appropriately when I use separate queries but it
is at the lowest level which is User. A sum of DistinctContent at the Site level is not appropriate - it needs to be the DistinctContent for the Site, and then drill down to the DistinctContent for User.
Aggregate cannot be used because there are filters on the report, and they have to be there for various reasons.
I've tried Lookup but it only looks up for one field. Multilookup doesn't work either.
I've tried a drill down to a subreport so that the initial dataset would be for Site, and then the subreport is for User and uses a different dataset, but you cannot merge the cells so
that the subreport fits nicely under the top level.
How do I get the DistinctCount for the top level, Site?
I'm currently working on creating a cube that will only count the distinct content by site and then combine the two cubes as a virtual cube as a workaround but I'm not sure of the full implications of a virtual cube. I feel like I'm missing something
because this seems to be something that everyone must need at some point right?
I'm beating my head against a wall. Thanks so much to anyone who can help out. I'm hitting the deadline, and everyone is stressing out because I've been working on this one issue for days and I'm the everything IT person, so other things are slipping.
Here is
(the abbreviated version of) the query:
SELECT
NON EMPTY
{[Measures].[Distinct Content]} ON COLUMNS
,NON EMPTY
Filter
([Site].[by Type].[Site].ALLMEMBERS
,[Measures].[Views] > 0)*
Filter
([User].[by Type].[User].ALLMEMBERS,
[Measures].[Views] > 0
[Time].[Month Year].[Month Year]
DIMENSION PROPERTIES
MEMBER_CAPTION
,MEMBER_UNIQUE_NAME
ON ROWS
FROM
SELECT
{[Content].[by Domain Type Item].[Type].&[3]&[1]&[Art]} ON COLUMNS
FROM [Cntnt]
Here is a picture of the report currently. Unique Articles is the measure I'm having issues with and you can see at the top level is the site name, and below that the user.
Thanks so much to anyone who can help me out. I really, really appreciate it.
Julia

Hi Julia,
Thank you for your question.
I am trying to involve someone more familiar with this topic for a further look at this issue. Sometime delay might be expected from the job transferring. Your patience is greatly appreciated.
Thank you for your understanding and support.
Regards,
Charlie Liao
TechNet Community Support

Similar Messages

How to get Distinct Count of Products across two dimensions

Hi,
I have two dimensions, Item and Presentations. I need to get distinct count of products for IMD_Id + Merc_Pres_Id. IMD_Id is the lowest member in Item and Merc_Pres_Id is lowest in Presentation. My MDX query is given below but when I apply filters to
slice it, it does not work and does not give right count. It always gives the count for all.
/* Last Year Demand - Demand for 12 months back of selected months */
With
Member [Measures].[LYDemand]
as
Sum(
Generate(
EXISTING[All Date].[Fiscal Month Name].[Fiscal Month Name].Members,
{parallelperiod([All Date].[Fiscal Month Name].[Fiscal Month Name], 12
,[All Date].[Fiscal Month Name].CurrentMember)}
,[Measures].[Proj Demand]
/* Last to last Year Demand - Demand for 24 back of selected months */
Member [Measures].[LLYDemand]
as
Sum(
Generate(
EXISTING[All Date].[Fiscal Month Name].[Fiscal Month Name].Members,
{parallelperiod([All Date].[Fiscal Month Name].[Fiscal Month Name], 24
,[All Date].[Fiscal Month Name].CurrentMember)}
,[Measures].[Proj Demand]
/* Current Year Active Products */
Member [Measures].[CYCount]
as
CASE
WHEN
[Measures].[Proj Demand] > 0
THEN
DistinctCount(Existing(([All Items].[IMD Id].[IMD Id],[All Merchandise Presentations].[Merch
Pres Key].[Merch Pres Key])))
ELSE
NULL
END
/* Last year Active Products */
Member [Measures].[LYCount]
as
CASE
WHEN
[Measures].[LYDemand] > 0
THEN
DistinctCount(([All Items].[IMD Id].[IMD Id],[All Merchandise Presentations].[Merch Pres Key].[Merch Pres
Key], [All Items].[Style Name].CurrentMember, (StrToMember('[All Date].[Fiscal Month Name].&[201401]',CONSTRAINED).Lag(12)
: StrToMember('[All Date].[Fiscal Month Name].&[201411]',CONSTRAINED).Lag(12))))
ELSE
NULL
END
/* Last to last Year Active Products */
Member [Measures].[LLYCount]
as
CASE
WHEN
[Measures].[LLYDemand] > 0
THEN
DistinctCount(([All Items].[IMD Id].[IMD Id],[All Merchandise Presentations].[Merch Pres Key].[Merch Pres
Key], [All Items].[Style Name].CurrentMember, (StrToMember('[All Date].[Fiscal Month Name].&[201401]',CONSTRAINED).Lag(24)
: StrToMember('[All Date].[Fiscal Month Name].&[201411]',CONSTRAINED).Lag(24))))
ELSE NULL END
SELECT
[Measures].[CYCount], [Measures].[LYCount], [Measures].[LLYCount],
[Measures].[Proj Demand],[Measures].[LYDemand],[Measures].[LLYDemand]
ON
COLUMNS,
Non
Empty([All Items].[Demand Center Name].[Demand Center Name], [All Items].[Style Name].[Style Name])
ON ROWS
FROM
(SELECT (StrToSet('[All Items].[Style].[ALL]'))
ON COLUMNS
FROM
(SELECT (StrToSet('[All Items].[Demand Center].[ALL]'))
ON COLUMNS
FROM
(select (STRTOSET('[All Items].[Merch Group].&[MG-110]'))
on Columns
FROM
(SELECT (StrToSet('[All Merchandise Presentations].[Merch Pres Chnl Dkey].&[MPC-1]'))
ON COLUMNS
From
[FMI Forecasting]
WHERE {strToMember('[All Date].[Fiscal Month
Name].&[201401]',CONSTRAINED) :
StrToMember('[All Date].[Fiscal Month Name].&[201411]',CONSTRAINED)}
Requirements are as follows:
1. Distinct Count should not include products where Proj Demand is 0, when I am using Filter function to remove products with 0 demand, query is really slow and execution time goes up from 35- 40 secs to 8-9 Minutes.
2. When we apply filter (parameters) Distinct Count should be in the context of filters( which are mentioned in the select statement like Style, Demand Center and Merch Group). Currently after applying filters count does not change.
Thanks for help.

Hi Skd78,
Thank you for your question.
I am trying to involve someone more familiar with this topic for a further look at this issue. Sometime delay might be expected from the job transferring. Your patience is greatly appreciated.
Thank you for your understanding and support.
Regards,
Charlie Liao
TechNet Community Support

Regular measures(measures with SUM function) are not working along Distinct count measures

Hi All,
I am creating a cube that got to have a distinct count measure and a sum measure. if i have created only sum measure then it is working fine. if i create both measures and process the cube only distinct count measure is populated. the sum measure is showing
all blank values. i am using 2008 R2, and creating 2 different measure groups for both measures, after i include the distinct count measure the sum measure becoming null. can you please help me with this? i am breaking my head for last 2 days on this.. Thank
You

Ramesh, measures are affected by the context of the queries that contain them, for example and in some cases, you can get a different total count of something by two different queries, this is because the context of the first query is different than
the second one ... keep this in mind.
Now, I've noticed that you are "creating 2 different measure
GROUPS for both measures", and i guess that you are trying to view those two measures _which are from different measure
groups_ at the same time and in the same report.
considering the info in the first point and as you are create the calculated measures in two different measure
groups, I'm not sure but i guess that this is the problem, and i suggest you create those two calculated measures
in the same measure group, then try to view them again and let's see.
if the previous point didn't solve it, please post the expressions you are using to create the calculated measures, maybe this will help in finding the problem.

Distinct Count Running Total

I have a report that gets a distinct count of items per day.DistinctCount(, , "daily") I would like to create a running total of the daily count for a weekly grand total.Thanks!

I'll take a stab at this - So I understand that the report is grouped by Day and looks like this:GF1: 1/1/07 9 GF1: 1/2/07 10 GF1: 1/3/07 12 GF1: 1/4/07 15 GF1: 1/5/07 20 The first thing I'd try is to create a another group on your Date field, this time selecting the grouping option to be "For Each Week". Take that group and move it so that it is Group1 and your current group is Group 2.... your structure will now look like this. GH1: 1/1/07 < new 'week' grouping' > GF2: 1/1/07 9 GF2: 1/2/07 10 GF2: 1/3/07 12 GF2: 1/4/07 15 GF2: 1/5/07 20 Then I would copy the Sum field (distinct count) that you are using in Group 2 and put it in the Group 1 footer. We could also create a formula to sum up all distinct counts per day, but a Distinct Count by week should accomplish what you are after. Then in a seperate formula, you could divide the DistinctCount of orders (by week) by the DistinctCount of dates (by week) to get your daily average....formula:DistinctCount ({Orders.Order ID}, {Orders.Order Date}, "weekly") / DistinctCount ({Orders.Order Date}, {Orders.Order Date}, "weekly") Hope that helps.

Distinct Count Measure on Dimension table via Bridge table.

Hi Team,
I have Dim_Devices Table, which is linked to other dimension like Dim_User and Dim_City.
All these table has many to many relationship defined in bridge table i.e. B_Devices_User_City using referential keys.
I want to derive measure such as
Select Count(Dim_Devices[Device_Id])
where Dim_Devices.Validity_End_Date is null
Note : Device_Id and Validity_End_Date are present in Same Dim_Devices Dimension Table.
Could you please help me to define cube structure and how to create such measure out of dim_table.

Hi Charlie,
Now, I have define DistinctCount Agreegation on Dim_Devices table which will use reference Relationship on B_Devices_User_City. My Count is correct.
But, I came across one more issue, i.e. From Processed and deployed cube, I am trying to create off-line Cube/or Global Cube (I have given syntax below) which is for limited set of dimensions and measures, I found that It shows me error due
to such relationship.
Does it mean that, For Global Cube, Can't we use DistinctCount/Count agreegation?
CREATE
GLOBAL CUBE [Device OLAP_Cube_1_3]
Storage
'C:\Exportcube.cub'
FROM [Device DATA CUBE]
-- Measures
-- Cube

Is there a better approach to show the distinct count measures?

Experts,
I have a requirement in which I want to diplay 20+ calculated columns. The coulmns are something like this..
No of clients with income < 10000 (to check against sales measure in fact table)
No of Clients with sales > 500000 (to check against sales measure in fact table)
No of clients whose join date > 1st jan current year ( to check against cust_start_dt of client Dim)
No of clients with size "Medium" (to check agains a column client_size of Client Dim)
No of clients with sell product units > 500 (Need to check units in PROD Dim)
and so on..
Well, I can write a case statement using expression builder for each column in the criteria, but the report performance is very bad. My client dimension is a huge partitioned table. As I keep on adding columns, the report takes more time to fetch data and at some point it never comes back.
We tried to push to calculations to database, but since users can provide any selection criteria from dashboard prompt, it doesn't seem to work.
If anyone had done any similar request in the past, please direct.

Jared,
Thank you for responding to my posted message. Rendezvous is a new concept to me, maybe
it's the solution to my problem. I have been trying to read the on line manual and
example VIs from National Instruments website. I still have a hard time to understand
the concept.
One of the example I saw is using rendezvous to run some sub VIs. But in my case, I have
only one VI that is a while loop. Inside the while loop, there are a few tasks running
simultaneously. I don't know whether it will serve my purpose.
Guangde Wang
Jared O'Mara wrote:
> Guangde,
>
> Referring to your 2nd method, use rendezvous (under advanced>>synchronize
> on function palette) to synchronize two processes. There are good examples
> that come with labview. basically, you cre
ate a rendezvous, giving it a
> size. Using the wait on rendezvous vi, a function will not continue until
> all rendezvous have reached that point. Using this method, you can synchronize
> your 2 while loops.
>
> Jared
>
> Guangde Wang wrote:
> >I tried two ways to control the tempo of my program.>>One is to use the
> While Loop's counter and a wait. The drawback of this>method is the cycle
> length is dependent on the measuring load. So if the>program runs for days,
> it will be significent off the real time.>>The other way is to use the difference
> of the Tick Count. It provides>accurate timing but the problem is the sychronization
> of the clock cycle>and the While Loop cycle. I can try to put a little bit
> wait but still>can not sychronize them very well. So after a while, there
> will be two>measures get together.>>I don't know whether there are some better
> ways to control the program>or whether we have some ways to improve either
> or both of the above
two>methods to make them work better. Please let me
> know if you have any>suggestion.>>Thank you in advance,>>Guangde Wang>

Link measure group to two dimensions

hello all - we have 3 fact tables in the data source view:
1. salesOrders
2. pucrahseOrders
3. journalEntry
The journalEntry fact table stores both sales and purchase orders, but each row in the journalEntry table can be linked to either salesOrders or pucrahseOrders. I created degenerate dimensions in the cube off of sales orders and purchase orders fact table
and I am trying to link these degenerate dimensions to the journalEntry measure group. However, the journalEntry measure group is showing no data when I link it to both the dimensions but it shows data when I link it to just one dimension.. what am I
doing wrong?

They're exclusive set isnt it? ie relationship is
either salesOrders or pucrahseOrders So when you use combination there's no data that is going to match both the condition. WHat you can do is to analyze the fact seperately using either of the dims or alternatively you can create a dimension merging
both salesOrders and purchaseOrders using UNION ALL and use it to relate to fact.
Please Mark This As Answer if it solved your issue
Please Vote This As Helpful if it helps to solve your issue
Visakh
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Distinct Count doesn't return the expected results

Hi All,
I was fighting a little trying to implement a Distinct Count measure over an account dimension in my cube. I read a couple of posts relateed to that and I followed the steps posted by the experts.
I could process the cube but the results I'm getting are not correct. The cube is returning a higher value compared to the correct one calculated directly from the fact table.
Here are the details:
Query of my fact table:
select distinct cxd_account_id,
 contactable_email_flag,
 case when recency_date>current_date-365 then '0-12' else '13-24' end RECENCY_DATE_ROLLUP,
 1 QTY_ACCNT
from cx_bi_reporting.cxd_contacts
where cxd_account_id<>-1 and recency_date >current_date-730;
I have the following dimensions:
 Account (with 3 different hierarchies)
 Contactable Email Flag (Just 3 values, Y, N, Unknown)
 Recency_date (Just dimension members)
All dimensions are sparse and the cube is a compressed one. I defined "MAXIMUM" as aggregate for Contactable Email flag and Recency date and at the end, SUM over Account.
I saw that there is a patch to fix an issue when different aggregation rules are implemented in a compressed cube and I asked the DBA folks to apply it. They told me that the patch cannot be applied because we have an advanced version already installed (Patch 11.2.0.1 ).
These are the details of what we have installed:
 OLAP Analytic Workspace 11.2.0.3.0 VALID
 Oracle OLAP API 11.2.0.3.0 VALID
 OLAP Catalog 11.2.0.3.0 VALID
Is there any other patch that needs to be applied to fix this issue? Or it's already included in the version we have installed (11.2.0.3.0)?
Is there something wrong in the definition of my fact table and that's why I'm not getting the right results?
Any help will be really appreciated!
Thanks in advance,
Martín

Not sure I would have designed the dimensions /cubes as you, but there is another method you can obtain distinct counts.
Basically relies on using basic OLAP DML Expression language and can be put in a Calculated Measure, or can create two Calculated measures
to contain each specific result. I use this method to calculate distinct counts when I want to calculate averages, etc ...
IF account_id ne -1 and (recency_date GT today-365) THEN -
CONVERT(NUMLINES(UNIQUELINES(CHARLIST(Recency_date))) INTEGER)-
ELSE IF account_id ne -1 and (recency_date GT today-730 and recency_date LE today-365) THEN -
CONVERT(NUMLINES(UNIQUELINES(CHARLIST(Recency_date))) INTEGER)-
ELSE NA
This exact code may not work in your case, but think you can get the gist of the process involved.
This assumes the aggregation operators are set to the default (Sum), but may work with how you have them set.
Regards,
Michael Cooper

Distinct count of role-played dimension attribute

Needed distinct count of AccountGroup attribute of AccountB dimension which is a role played dimension of Account.
Added measure distinct count of the dimension attribute (AccountGroup). In dimension usage added the main fact table as intermediate for other dimensions with many2many relationships.
The two role played Account dimensions must be related to the new AccountFact table with fact relationship.
But then how will I be able to count distinct attribute of
certain Account dimension (out of the two role played dimensions)???
Namnami

Thanks for the links, they are useful. But still they do not explain how to manage a distinct count of
certain role played dimension attribute.
I gave up on this and added that dimension attribute to the fact table so now I do a regular distinct count on a cube fact measure.
Thanks
Namnami

Report using Tabular Model and Measures based on Distinct Counts

Hello,
I am creating a report that should present something like this:
YEAR-1 | MONTH-1 | MONTH-2 | MONTH-3... | YEAR | MONTH-1 | MONTH-2 | MONTH-3...
My problem is that when designing the dataset to support this layout I drag the Year, Month and Distinct count Measure, but on the report when I want the value for the YEAR level I don't have it and I cannot sum the months value...
What is the best aproach to solve this? Do I really have to go to advanced mode and customize my MDX or DAX? Can't basic users do something like this that seems so trivial and needed?
Thank you
Luis Simões

Hi Luis,
According to your description, you create a Reporting Services report using Analysis Service Tabular Model as the datasource, now what you want is sum the months value on year level, right?
In your scenario, you can add the Month field to column group, add a parent group using Year Field and then add a Total on Month group. In this case, Reporting Services will sum the months value on Year level. I have tested it on my local environment, the
screenshot below is for you reference.
Reference:Lesson 6: Adding Grouping and Totals (Reporting Services)
If this is not what you want, please describe your dataset structure, so that we can make further analysis.
Regards,
Charlie Liao
TechNet Community Support

Distinct count of dimension business key in fact table

In my cube I have a fact table which joins to a patient dimension. The patient dimension is a type 2. What I would like to do is get a distinct count of patients who have records in the fact table. The business key in the patient dimension
is the PrimaryMrn. So a SQL query would look like this.
SELECT count(distinct PrimaryMrn)
FROM EncounterFact e
INNER JOIN PatientDim p
on e.PatientKey = p.PatientKey
Is it possible to do this via MDX?
Thanks for the help.

If you have to distinct count an attribute in a SCD 2, you might choose between:
Denormalizing that attribute in the fact table, and the create a classical DISTINCT COUNT measure
Use a many-to-many approach - see the "Distinct Count" scenario in the Many-to-Many White paper here:
http://www.sqlbi.com/articles/many2many (for both Multidimensional and Tabular
If you use Tabular, you might want to read also this pattern:
http://www.daxpatterns.com/distinct-count/
Marco Russo http://www.sqlbi.com http://www.powerpivotworkshop.com http://sqlblog.com/blogs/marco_russo

Distinct count inside a measure group with other measures

Hello,
I have 1 distinct count inside a measure group with other measures, sum, count etc. I know this is not recommended due to poor processing performance and query response time.
Processing performance I can live with if it means not having another measure group, which increases processing time anyway.
I have used the recommended approach before and it generated many questions about what this second measure group is for (visible via excel), even though I made the distinct count appear in the main measure group via a calculated measure.
(it would be nice if you could hide measure groups)
However my question is: is query response time only effected when the distinct count is used in the query? Or is query response time effected regardless if the distinct count is used or not??
Below is an extract from the 2005 distinct count optimizer white paper. It’s not completely clear but I assume if effects queries regardless if distinct count is used or not?
"By adding other measures to the measure group holding a distinct count measure, all of the other measures will be at the same granularity as the distinct count measure, resulting in inefficient data structures and suboptimal
queries."

You might also be interested in reading this blog post, which deals with a similar scenario, to get a feeling for some of the things that might be going on behind the scenes:
http://cwebbbi.wordpress.com/2012/11/27/storage-engine-caching-measures-and-measure-groups/
Chris
Check out my MS BI blog I also do
SSAS, PowerPivot, MDX and DAX consultancy
and run public SQL Server and BI training courses in the UK

Distinct count for multiple fact tables in the same cube

I'm fairly new to working with SSAS, but have been working with DW environments for many years.
I have a cube which has 4 fact tables. The central fact table is Encounter and then I also have Visit, Procedure and Medication. Visit, Procedure and Medication all join to Encounter on Encounter Key. The relationship between Encounter
and Procedure and Encounter and Medication are both an optional 1 to 1. The relationship between Encounter and Visit is an optional 1 to many.
Each of the fact tables join to the Patient dimension on the Patient Key. The users are looking for a distinct count of patients in all 4 fact tables.
What is the best way to accomplish this so that my cube does not talk all day to process? Please let me know if you need any more information about my cube in order to answer this.
Thanks for the help,
Andy

Hi Andy,
Each distinct count measure cause an ORDER BY clause in the SELECT sent to the relational data source during processing. In SSAS 2005 or later, it creates a new measure group for each distinct count measure(it's a technique strategy for improving perormance).
Besides, please take a look at the following distinct count optimization techniques:
Create Customized Aggregations
Define a Processing Plan
Create Partitions of Equal Size
Use Partitions Comprised of a Distinct Range of Integers
Distribute the Hash of Your UserIDs
Modulo Function
Hash Function
Choose a Partitioning Strategy
For more detail information, please refer to the article below:
Analysis Services Distinct Count Optimization:
http://www.microsoft.com/en-us/download/details.aspx?id=891
In addition, here is a good article about SSAS Best Practices for your reference:
http://technet.microsoft.com/en-us/library/cc966525.aspx
If you have any feedback on our support, please click
here.
Hope this helps.
Elvis Long
TechNet Community Support

Distinct count mdx fails

Hi,
I have a question about performing a distinct count of number of clients in my cube OLAP.
My clients-dimension table is populated from 4 different databases, this means that I can find the same clients with different Clients_ID (Natural key), because each client has a different ID in every database.
I want to calculate a distinct count on client’s phone number because it’s the same record in all Databases, I always get a big number which is not the right result. I checked deeply the issue and I found that the query I set seems
to not perform the distinct count right on the phone number.
The small test I did with only filters (see screenshot below) let me believe that my query is performing the distinct count on each client ID instead of the phone number.
Here it is the query I used to perform my distinct count:
WITH SET MySet AS
Filter(
{[Dim Date].[Year].&[2014]} *
{[DIM FA Clients].[FaCuNumberX].[FaCuNumberX]},[Measures].[QQT - Fact Ventes]>1 or [Measures].[QQT - Fact Ventes]=1)
MEMBER MEASURES.SETDISTINCTCOUNT AS
DISTINCTCOUNT(MySet)
SELECT {MEASURES.SETDISTINCTCOUNT} ON 0
FROM [CubeAll]
I don’t know why the filter on this mdx query doesn’t work properly like an SQL group by.
Thanks for help!

Hi Merouane,
According to your description, you want to calculated to the numbers of client by count distinct Phone Number, right?
In your scenario, you can add a distinct count measure in your project. Distinctcounts are one of the most demanding requests that can be placed on a MOLAP database, caused by the large number of dimensional attributes that typically exist in a cube. Here
is a blog which describe several solutions for distinctcount in a SSAS project, please refer to the link below to see the detais.
http://www.mssqltips.com/sqlservertip/3043/different-options-for-creating-a-distinct-count-measure-in-ssas/
Regards,
Charlie Liao
TechNet Community Support

DAX query to calculate distinct count respect to a column after a Filter function - SSAS 2012 Tabular

Hi,
I'm trying to build the dax query to determine the distinct count for a column returned by the application of a Filter function.
evaluate(
row("counter",
countrows(
filter(order_summary,
year(order_summary[change_date]) = 2013) )
I need to count the distinct values for an id returned by the Filter function.
Any helps, please? Thanks

Hi pscorca,
According to your description, you want to calculate the distinct values for records where change_date is 2013. Right?
In this scenario, we can use the DISTINCT() function within COUNTROWS(). Please try the expression below:
=calculate(
countrows(distinct(order_summary[column])),
Filter('order_summary', year(order_summary[change_date])=2013)
Reference:
Distinct Count Measure in PowerPivot using DAX
Related Distinct Count
Best Regards,
Simon Hou
TechNet Community Support

Distinct Count Measure Total in Two Dimensions

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