Analysis :: MDX - Count A Set As Calculated Measure
Sep 9, 2015
I am trying to count a set as a calculated measure, when this set is called directly in the row , it returns fast, but when i try to count the set as calculated measure(so i can slice with another dimension) the query keeps running forever.
The queries are below
select
{} on 0,
nonempty
(
{([Transaction].[RPC Count].&[1],[Transaction].[Account ID].[Account ID])}
,
{([Account].[PAYMENTSTATUS].&[0],[Account].[Account ID].[Account ID])}
) on 1
In 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.
The user wants to be able, using excel, to apply a filter to all measures in every measure group. I though that I can create a dimension with a single level with two members, let´s say "on" and "off" and depending on the selected member and using an IIF statement decide which formula applies to the calculated measures.
I have serious doubts about the performance and for this technique because I am thinking as a .Net developer and not as a cube developer. Maybe it is better to resolve it scoping the measures but I cannot figure it out.
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.
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.
I am having trouble with a calculation that on the surface seems to be working until it is opened up in excel.
The measure calculates the Actual Value as of last year and is as follows - ([Measures].[Act Val],ParallelPeriod([Time].[Year],1))
This works fine until I look at the totals within EXCEL 2002/2003
1)If I choose to view a whole year then the total shows me a whole year. That is fine and as expected.
2)If I choose part of the year the total shows me the whole year. This is wrong and am wondering if it is an Excel probem or my calculation? But here is the weird part -
3)If I choose another year and select the same months as I have already chosen (ie Year 20023 Jan, Feb and Year 2003 Jan and Feb) then the total for the year that is already selected works!!(shows only the total of the two months - whereas the extra year I have selected (remember - Jan Feb only) shows me a total for the whole year.
WAIT - There's more
4)If I add another month to the 2002 selection (ie add March) then the total for 2003 (Jan Feb only) includes the March value also (even though it is not selected)!!!!!!
Hello! Given three dimensions in my cube (Product, Calendar, & Sales). I'm trying to create a calculated measure that will sum 8 weeks of sales starting from the third week in which sales started. For instance, weeks 1-4 had zero sales. Week 5 is the first appearance of any sales. Therefore, the measure would sum the sales of weeks 7-14 (8 weeks starting with the 3rd week after sales begin).
Any ideas?? Keep in mind that every product is going to be different (sales start in different weeks).
I have a calculated measure that is "Cost Per Patient:=sum([ActualCost]) / sum(Patients[PatientCount])" and it works fine. I'd like to be able to create another calculated measure based on "cost per patient" that uses min, max and average of "cost per patient" but dax wont let me.
I've read about dax calculate but not sure how to use it in my situation. Here is background on the problem:
There are 2 fact tables, prescription cost and patient count. Both are related by a practice dimension. The practice dimension has a geography hierarchy of county - town - practice.
The "Cost Per Patient" works fine with the geography hierarchy. By that I mean it shows the correct value when looking at the different levels. For my new calculation, for example looking at the list of counties, I want to use the min, max and average of "Cost Per Patient" of all counties. To break the problem down, I was going to start with creating and testing separate calculated measures for min, max and average and that's where I am stuck.
My understanding of the problem is it's something to do with the context of where the calculation is being made. As I want to perform the min, max and average on all the children of the parent. This article explains it but I can't figure out how to apply it to my situation [URL] ....
We have a client that wants to take the Max value of a count at the Product level, but then for each Brand (Parent of product), sum the Max values for that particular slice. The example below shows the Max sales per month over the last 6 months.
Prod1 had it's best month in Month2 (20 units) and Prod2 had its best month in Month4 (30 units). Brandx should roll up to 50 units. Can DAX handle this in a single Calc Measure?
I have a calculated measure in Power Pivot that takes too long to run that it would max out my RAM when running it in Excel 2016 (for some reason it actually manages to run in Excel 2013 but still takes a long time). How to optimise the measure? I have shared the measure below. it is the Unique Leads (MTD) measure that I need to run in a pivot table that is broken down by everyday in a month. The Unique Leads (MTD) measure basically calculates the month-to-date unique leads where a unique lead is defined as an email address that has not appeared in the 'application' table thus far in a particular month.
I try to calculate the turnover of an employee based on all sales on this customer and the hours spends working for this customer.To simplify, I have 2 tables.General Ledger table.I have customer no and sales.And activity table,I have customer no, hours and users.To be able to calculate the average of a customer, I made an average value based on the sales/divided by the hours on activity table.Customer 1 sales of 100$.Value of the customer is 10$/H -> John 40$ / Mike 60$.How can I use the information 10$/h to use it with the hours from a employee.
Robert Bruckner [MSFT] in his response to "This field is missing from the returned result set" says that rsMissingFieldInDataSet is "only a warning"
I have a report with 7 simple calculated measures to show counts for 7 ratings: ([Measures].[Score Card Count],[Attainment].[Attainment - ATTAINMENT].<rating>).
6 measures work fine; one, for which there is no rating in the fact table returns rsMissingFieldInDataSet warning. Even worse, if I use this field in an expression in the report with other measures, the return is always nothing.
In other words, although this is "only" a warning, it actually causes errors by not returning values from expressions.
I tried to check for null/nothing but could not prevent "breaking" the expressions. Any ideas?
I have a requirement in Power Pivot where I need to show value based on the Dimension Column value.
If value is Selling Price then Amount Value of Selling Price from Table1 should display, if Cost Price then Cost Price Amount Should display, if it is Profit the ((SellingPrice-CostPrice)/SellingPrice) should displayMy Table Structure is
I've created a calculated measure which is a division between 2 other measures which i also have displayed in the cube. of course as soon as there is some level of aggregation, the shown result is an averaged division and therefore is wrong.
here is some example: A 16874 B 956 C 1354 D 264 E 103 F 81 G 6 H 3 X 23 Total 5198.36...
here the wanted result would be a simple some of all the other values (=19664)
How could i treat totals/aggregation differently or have any good way of solving this issue? I know there is the aggregatefunction propertie for normal dimension, but i'm not familiar with calculated measures and it seems properties that can be accessed through BIStudio's interface is rather limited.
thanks a lot in advance for your help. I've been looking for tweaks on the data to trick the cube, but couldn't find any way of getting the result i'm looking for.
A Store A L 100 6 600 A Store A S 150 4 600 A Store A M 160 7 1120 B Store A L 640 15 9600
[Code] ...
Ignoring that gives another figure for productgroup B. In the pivot, I should see both measures at whatever attribute, except for the measure that excludes color will be null if tried split on color
ProductGroup Amount Quantity (ProductGroup, Color, Store, Size) (ProductGroup, Store, Size) A 410 17 2320 2320 B 640 15 2820 9600 C 170 5 430 430
The data attached below is from a Fact table. When this data is browsed in the Cube the end user is only interested in value of Measure 1 when it is not equal to zero. Measure 1 is a base measure .how to suppress the value 0 for Measure 1 in the Cube.
I'm trying to create a percentile rank function based on the standard WIKI version:
I've seen Brian Knight's article here, but that only deals with percentile.
Where I'm struggling is getting the count of members in a set using a measure, in the current context on the same hierarchy, as the filter expression. I'm using the comparative set as in belonging to the same geographical location, and therefore associating by another attribute.
So, cl as below:
MEMBER [Measures].[RegionPercentileCount] AS Count( Filter( NonEmpty( descendants(Ancestor( [Supplier].[NameMap].CurrentMember, [Supplier].[NameMap].[Region]), [Supplier].[NameMap].[Supplier Id]), [Measures].[ActiveMeasure]) , [Measures].[ActiveMeasure] < ([Supplier].[NameMap].CurrentMember, [Measures].[ActiveMeasure])))
Using the same measure and context hierarchy is always going to be equal, and therefore the count is always zero. Its almost as if I need a nested context for the FILTER which allows me to use enumerate the set on the same hierarchy whilst maintaining the external reference.
I'm thinking that perhaps I'm going to have to create another hierarchy and use that as the filter set and reference through StrToMember or similar.
I have a wide fact table that I'm feeding to an SSAS cube. I was advised that splitting the measure group into two will improve performance when querying the cube.
I cannot find any documentation that supports this, in fact I get a blue curved line suggesting that I merge the measure groups since they have the same dimensionality and granularity.
I guess the best practice is what the blue line states, but without knowing the internals of SSAS I can undestand that a smaller measure group may be easier to handle, or create more specific aggregations for.
Is it possible to filter out a measure only at the intersection of Two dimension members? I have a date dimension, 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'm trying to show measures from 2 measures groups in a drillthrough. Obviously, it's not possible with a standard drillthrough action, but I still hope that I can somehow achieve this with the ASSP GetCustomDrillthroughMDX function.
Speaking in AdventureWorks2008R2 terms: Imagine I have a pivot table with Product Categories in filter (say, filtered on Gloves) and "Internet Sales Amount" as measure. From context menu in Excel I can call the drillthrough action which shows me the individual sales records. I would like to show in drillthrough additionally "End of Day Rate" measure from "Exchange Rates" measure group.
One option would be to join FactInternetSales with FactCurrencyRate and make EndOfDayRate a physical measure in the "Internet Sales" measure group. This is a pretty huge overhead for my scenario and I'd like to avoid this.
Another one would be to call something completely external for a drillthrough (for example, a SRRS Report).
When I am executing below MDX query, it's giving correct result with out any issue
SELECT NON EMPTY { [Measures].[Daystorecieve] , [Measures].[PO Recieved], [Measures].[Post Award Milestone PO Analysis Count], [Measures].[Powith80pct Received]
[Code] ....
After the successful execution of the above query, I am trying to filter on my measure group [Measures].
[Daystorecieve] values not equal to "0". With minimum number of the dimension selection my query executing fine.
Please find the below query.
SELECT NON EMPTY { [Measures].[Daystorecieve] , [Measures].[PO Recieved], [Measures].[Post Award Milestone PO Analysis Count], [Measures].[Powith80pct Received] } ON COLUMNS,
[Code] ....
But, when I am trying to execute with total number of dimensions. It's running long time and giving out of memory exception. Is there any way to apply where condition on my measure group like where [Measures].[Daystorecieve]<>0.
Hi, i created a cube that has 2 measures. I created the measures by selecting the columns from my fact table, but the function that applied in the measures was the sum function. I need to apply the count function in my measure. How can i do that?
I have an issue related to SSAS security. We have an SSAS multidimensional cube which needs 3 types of security:
- Access to the entire cube => OK, based upon a role - Restricted access to one department (= dimension) => OK, based upon a role - Access to the entire cube, but with dynamic security on 2 measures.
Let's say, we have 2 departments (food and non-food). Users within food are allowed to see sales and pieces from the food department, but not from the non-food department.
It is not an option to restrict access to the non-food department because there are other measure which they have access to. I tried cell security, but this is very slow and generates multiple empty rows on my selections.
we are having an existing cube in that we need to update with new measures . The Measure groups are added to the cube as linked object. so when we are updating the measure group it is throwing the exceptions as follows..“Errors in the OLAP storage engine: The metadata for the statically linked measure group, with the name of 'SalesActual', cannot be verified against the source object.”
