I'm having what i think it's a strange error in CALCULATE function:
Calculation:=CALCULATE( DISTINCTCOUNT([SK_CUSTOMER]); 'fact x'[_sales net]<>0)
where _sales net is a calculated column, sum of 3 existing columns lets call columnA , columnB, columnC
This calculation doesn't work well, the results seem to be like as if _sales net was only equal to columnA.
Naturally I've already done build deploy and full process.
I have a fact table that captures the captures oldest date between a Task date and todays date per Person (so there is only fact per person) like this - a measure is created from the Task Days
PersonID, Dateduekey, Task Days
130Â Â Â Â Â Â Â Â Â 20130809Â Â Â Â 679
I have a person dimension which has a hierarchy of Department_Name->Team_Name->Person I have created some MDX that gives the MAX Task Day for the hierarchy but when you Person attribute of the hierarchy the code runs really slow.with set a as nonempty(([v Dim Fee Earners].[People Structure].[Person],[Dim Calendar].[Primary Date].[All]),[Measures].[Days KPI]) member measures.a as max(existing(a),[Measures].[Days KPI])
How can I get this running for more efficiently when [v Dim Fee Earners].[People Structure].[Person] is selected? To be fair the true measure [Days KPI] is already calculated at person level so if there is way to use the [Days KPI] when [v Dim Fee Earners].[People Structure].[Person] is selected that would be good
Hi this might be pretty simple to you guys out there but i am having issues doing it.
Please help!!!!!!!!!!
Calculate Average of a measure called DIST irrespective of any dimension the page field.
Ie. to say it should calculate the average for any doension i bring on the rwo field.
Looking forward to your help.
you can mail me at hem_k01@yahoo.com
I need to conditionally include a filter in the below DAX query such a way that if an Account_ID is passed (as client side parameter) the filter should be included in the query otherwise if it is zero, the query should return results across all account. For example, if total purchase is queried for Account_ID=2 the query should be like this:
evaluate
calculatetable (
addcolumns (
summarize (
'Event'
[code]...
but if the Account_ID is passed as zero, condition 'Event'[Account_ID] = 2 should be removed.Is this possible to implement in DAX?
I am trying to get a list of years from a Date dimension that includes a limited number of values. Â I want the current year and the previous 5 years. Â The year number in the cube is actually a char(4) value so I will have to cast that.
Also I want to alias the field, since Im using this list to use as a parameter in an SSRS report.
The MDX I have at the moment is this:<br/>
WITH
MEMBER [SALESYEAR] AS
CInt([DimCalendar].[Year].CURRENTMEMBER)
SELECTÂ
NULL ON COLUMNS,FILTER(
[DimCalendar].[Year].MEMBERS , [SALESYEAR] > 2012) ON ROWS
FROM [MySalescube]
The above returns empty, but I also need to define an expression that is the current year - 5 years
I have a fact table which lists the last 12 month historical sales of a product,country,month combination so the table structure is like:
<month, productID, countryID, (month-3 sales), (month-4 sales).........,(month-14 sales)>
I need to write an MDX query which will return a flag that indicates if a product has a gap of more than 2 consecutive months in terms of positive sales. So I calculate if there is a gap of 3 months. If yes, then return 1 else null. The calculation below is scoped at product level.
IIF(([month-3 sales]<=0 ANDÂ [month-4 sales]<=0 AND [month-5 sales]<=0)
OR Â ([month-4 sales]<=0 ANDÂ [month-5 sales]<=0 AND [month-6 sales]<=0)
OR ([month-5 sales]<=0 ANDÂ [month-6 sales]<=0 AND [month-7 sales]<=0)
...............
OR ([month-12 sales]<=0 ANDÂ [month-13 sales]<=0 AND [month-14 sales]<=0)),1,NULL)
Unfortunately I cannot do this calculation at relational level as a product may have a gap of more than 2 months at country level but may not have this at a higher level in geography.
optimizing this as the performance is bad and other calculated measures are dependent on this. Based on this calculation, I can write a scope which sums up all products so that I get the count of products with a gap of more than 2 months in sales.
I have also tried CASE statement and NESTED IIFs but the performance is worse than the above.
I tried using the page below but wasn't able to quite properly adapt it to my scenario
[URL]
I have two UNRELATED (can't be related for reasons outside the scope of this, other relationships already exist) tables.
Each table does, however, contain a WorkerID:
WorkerTimesheets:
WorkerID, HoursLogged, Date
3,10,2015-05-05
3,6,2015-05-10
4,8,2015-05-01
Then the unrelated table "ConstructionSites"
SiteID, SiteManagerID, SiteOpen,SiteClosed
A5, 3,2015-01-01,BLANK
What I want to do is be able to show a measure that SUMS the number of hours logged by anyone who is a SiteManager from the ConstructionSites table.
I wanted to do a SUMX of WorkerTimesheets against HoursLogged, but FILTER against WorkerTimesheets[WorkerID] = ConstructionSites[SiteManagerID] so only workers who are also SiteManager would be counted.However, I can't seem to get that to resolve it always throws an error along the lines that it can't determine context.
I have a problem with calculating discount in PowerPivot analysis. I have
dCalendar , dDiscount, fSalesBook .
dDiscount columns:
DiscKey, StartDate, EndDate, Product, DiscountName, DiscountPercent
fSalebook columns:
OrderDate, Product, Qty, Sales, Discount
dCalendar columns:
Date, Holiday, MonthNo, MonthName, QuarterNo, QrtName, Year.
The problem (at least I feel) is I defined some dates in the Startdate and Enddate for a particular year. But these discounts should apply for all of the years in my fSalesBook, not just for that year in the dDiscount table.
So in essence, when you calculate discount for a product in fSalesBook you should consider only the month and day of the transaction, if the sale is in between the discount dates.
I have the following relationships.
Table [Column] ------->Table [Column]
fSalesBook[OrderDate] -----> dCalendar[Date]
I am not sure how to relate the dDiscount table with the dCalendar table and not sure even there is a need to relate them to calculate Row level discount in fSalesBook. You can change the relations/model if there is need be.
PS: One more clause, Sometimes I offer discount only for a particular product in that Discount season, that's why there is a column for Product in the dDiscount table.
What should be my DAX formula to calculate Row level discount in fSalesBook?
Here is the link for the sample workbook.
[URL]
In one of the business requirement, we need to disable a particular drill down on a calculated member, Is it possible?
View 3 Replies View RelatedFor example, I have a Date dimension with attributes like Current Day and Current Month. If I run the following, I get exactly what I expect: a list of the days in the current month.
select
NULL on 0,
[Case - Date - PSPT Entry].[Year - Quarter - Month].[Date] on 1
from [Customer Support]
where
[Case - Date - PSPT Entry].[Current Month].&[True]
When I run the following, I'm getting a list of the days in the current month *plus the first couple days of the next month*. with
set [Days of Interest]
as
filter([Case - Date - PSPT Entry].[Year - Quarter - Month].[Date], [Case - Date - PSPT Entry].[Current Month].&[True])
select
NULL on 0,
[Days of Interest] on 1
from [Customer Support]
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.Â
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 an existing MDX query returning the correct resultset. However, I want to add a filter so that for a combination of value in Hierarchy1 and Hierarchy2, the data is filtered out.
For example I have data like
H1Â Â Â H2Â Â Amount
1Â Â Â Â Â 1Â Â Â Â Â 100
2Â Â Â Â Â 1Â Â Â Â Â 50
3Â Â Â Â Â 1Â Â Â Â 45
I am getting a value of 100+50+45=195.
I want to filter the data for the combination H1=3 and H2=1. Expected result would be 100...
H1Â Â Â H2Â Â Amount
1Â Â Â Â Â 1Â Â Â Â Â 100
2Â Â Â Â Â 1Â Â Â Â Â 50
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.
I have a big table with several types of transsactions: PO (Puchase Orders, SO,( Sales orders), INV (Invoices) ....
I want to create cubes with only one type of transactions (1 cube for PO,...)
Where and how can I filter the rows I want to use in my cube ?
Thanks
My requirement is to count the customer order number for premium order type orders which has some order quantity.I am using below MDX
count
(Â
Filter
(([Customer Order].[Dim Customer Orderkey].[Dim Customer Orderkey].members,
[Outbound Order Attributes].[Order Type].&[P]),[Measures].[Ordered, pcs]>0 ) ,
)
The result is accurate but the query execution time is 3-4 minutes for 10 fact records, when i use multiple dimension. it is showing me 0 valus for this measure for all the members for the dimesion attribute which doen't have any customer order. example it shows all the member of date dimension. is there any way to reduce the rows. i think this is the reason to take more execution time.when i use EXCCLUDEEMPTY the result is NULL
count
(Â
Filter
(([Customer Order].[Dim Customer Orderkey].[Dim Customer Orderkey].members,
[Outbound Order Attributes].[Order Type].&[C]),[Measures].[Shipped, pcs]>0 ) ,
EXCLUDEEMPTY)
We have two measures
[Measures].[NSPO]
is in FACT1 Â Measure Group
[Measures].[NetSignedPremium] is in FACT2 Â Measure Group
The requirement is Measure.[NetPremium] should be the greater of
[Measures].[NSPO] OR [Measures].[NetSignedPremium].
Â
All three measures are created in the cube and this logic is to be applied in the Calculations section of the cube.
Using an IIF statement like one mentioned below does the job, but data does not aggregate correctly for the
Measure.[NetPremium]
Measure.[NetPremium] = IIF ([Measures].[NetSignedPremium] > [Measures].[NSPO], [Measures].[NetSignedPremium] , [Measures].[NSPO])
To ensure that the columns are aggregated I have to use a SCOPE statement at the leaf level
[01 UWR Reference].[UWR Reference].Members Â
Â
SCOPE(
    FILTER( NONEMPTY( [01 UWR Reference].[UWR Reference].Members  ) ,
         ( ( ([Measures].[Net Signed Premium Rcvd])
         - ( [Measures].[NSPOTest] ) )
             < 0 ) )) ;
        This =  [Measures].[Net Signed Premium Rcvd] ;      Â
ENDÂ SCOPE; Â
My problem is the FILTER within the SCOPE statement does not work. How to modify the filter in SCOPE? OR How to make IIF Aggregate correctly?
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 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.
I am pretty new to MDX and am having trouble getting what I need out of this MDX query. Some business rules:
Gross Amount applies to all clients, whether Type A or Type B. Â I always want to return Gross Amount.Some clients are Type A, some are Type B, some are both, and some are neither.There are Type A Net Amount and Type B Net Amount values for all clients, but I only want to display the Type A Net value if the client is a Type A client, only Type B if the client is a Type B, or both for both, and neither for neither. Â I would like to return blank/null, not $0.00, for those values that should not be displayed.
Here's the basic query. Â
SELECT { [Measures].[Gross Amount],
[Measures].[Type A Net Amount],
[Measures].[Type B Net Amount]
} ON COLUMNS,
NON EMPTY {[Dim Client].[Parent Client Code].[Parent Client Code] *
[Dim Client].[Child Client Code].[Child Client Code] *
[Dim Client].[Is Type A].CHILDREN *
[Dim Client].[Is Type B].CHILDREN
} ON ROWS
FROM ClientInfo
Here's the DESIRED output........
Developing a measure which displays the difference of two values from the selected years.
An example : Show the difference of the sales amount from 2013 and 2015.
Since i am not really into mdx or calculated members.
I am struggling to calculate Full year in my SSAS Cube. Meaning, regardless of what fiscal year hierarchy level I am in; i need a measure aggregating from 01/01/year of current member to 12/31/year of current member.
I want to replicate it using the Year To Date below:
FY-FQ-FM is the fiscal year quarter hieararchy
I am using for built in time intelligence.
Create MemberÂ
 CurrentCube.[DimTime].[FY-FQ-FM DimTime Calculations].[Year to Date]Â
 As "NA";  Â
  /*Year to Date*/
 (
  [DimTime].[FY-FQ-FM DimTime Calculations].[Year to Date],
Â
[Code] ....
I have SSAS cube with Fact that include values in kg (e.g. 25.3, 32.5, 18,3...).What kind of attribute or other solution should I create If I want to filter those kg's in browser with integer values e.g.:weight between 10 and 25
View 3 Replies View RelatedI have developed a cube in my work place for analyzing current year sales with previous year sales in Time Hierarchy (Year- Quarter- Month) using Parallel period. If we want to see data for particular Quarters i.e. Q1 and Q2 then total at the year level should also get change. Currently if we only choose 2 quarters in the filter then current year data gets change, however data using parallel period is not getting change accordingly and its shows Total of full year.
View 4 Replies View Relatedhow can I have a default filters in my Excel PowerPivot Table, without the user need to select them in Excel creating with DAX Language.
View 8 Replies View RelatedOne of my models has order data, cost per order/invoice ID and then dimensions on Fiscal Year, category, etc...the usual.
A user wanted to search it for an exact order amount. (They knew for example that one of our accounts was not balancing by single order worth $746.13 and assumed it must be an order that was placed but never marked shipped that slipped through the cracks).
Now, in the model I have "order amount" as a field and then a measure that sums that.
I could expose that "order amount" field as a label and let them filter on it in Excel (and that works).
However, I haven't had any luck filtering on the actual measure "Total Order Amount". Such as OrderID-> View Filter -> "Total Order Amount" equals 746.13.
I assume this is due to a few things:
Measure calculates at different levels so filtering on a measure is difficult as you would have to place all the "slicers" and set them first before the measure would "exist" at a level where it could be $746.13. Orders by year would have $746.13 as part of it's year sum, but wouldn't exist as a stand alone line item orders by year 2015 might be 2 million.Â
Orders by category might exist at 500,000, 8,000, 15,146.36, etc... but not $746.13.
So I would need OrderID on there as a column so the measure could return at the value of $746.13 for one row for it to match the filter?
Basically:
1. Why it can't really filter on a measure?
2. Is there a better way to accomplish this other than exposing the actual column in the fact table "order amount" as it feels like that could cause all kinds of confusion if other users try to slice/filter on that not realizing exactly what it is meant to be?
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 have been following the tutorial/blog post HERE to create an annualization (or "run rate") of my Gross Amount measure.  What I want to do now is exclude any period that is not "complete". Â
For example, if today is 9/9 then Q3 is not complete - only Q1 and Q2 are complete. Â And if I'm looking at it monthly then January through August are complete, but September is not.
Cells B5 and D5 look exactly as I expect and want them to be. On row 6 below under each "Gross Annualized" value I have basically just put the formula for what it's actually doing.
What I would like to see in the blue cell is $67,211,697,268 - essentially the most recent annualization for a completed period. The annualization for Q3 is misleading because the quarter has not yet completed. Â There's $16b in Q1 and $17b in Q2, so the measly $78m in Q3 (yellow cell) is dragging the annualization down significantly. Even worse, the Gross Amount for Q4 is being treated as a $0.00, which is further dragging down the "2015 Gross Annualized" amount in blue. In a T-SQL average calculation, for example, I think the green cell would be treated as NULL rather than $0. Â That's kind of the behavior I want.
So I would like to do two things:
Create a calculation (probably just a 0 or 1 flag) that indicates whether the current period is complete or not. Â Again, using 9/9/2015 as an example, Q2 would be complete but Q3 would not be. And August would be complete, but September would not. Make the blue cell show $67,211,697,268 - an annualization based on completed quarters only.
For whatever it's worth here is the current calculation for Gross Annualized.
CREATE MEMBER CURRENTCUBE.[Measures].[Gross YTD]
AS AGGREGATE(
YTD([Pay Date].[Calendar].CurrentMember)
,[Measures].[Gross Amount]),
FORMAT_STRING = "Currency",
VISIBLE = 0;
[Code] .....
I've created a cube and it processed fine. The calculate command is there. The measure that I'm attempting to run in the SSAS/Visual Studios browser is simply a count rows measure. When I drag the measure to the window, it says no rows available. If I click on the filter that allows nulls, the only change it makes is that it goes from no rows available to "NULL".Â
View 4 Replies View RelatedI have a cube that has a Dimension set up with several values some of which are bools. While Browsing in Excel or SSMS, two new values, when used as a filter shows (All) (Blank) and (True) for selections instead of (All) (True) and (False).Â
View 2 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]....
Â
Please note, that I want it in a MDX query not needing to change the cube or DWH table.
Hello,
Here is my problem:
I use SQL Server 2005. I have approx. 50 tables in my database and 30 of them have a filed named "CompanyID". Example:
create table A (ID int identity, NAME varchar(100), COMPANYID int)create table A (ID int identity, REF_ID int, FIELD1 varchar(100), FIELD2 varchar(100), COMPANYID int)
Also there are nearly 200 stored procedures that read data from these tables. Example:
create procedure ABCasbegin /* some checks and expressions here ... */ select ... from A inner join B on (A.ID = B.REF_ID) where ... /* ... */end;
All my queries in the Stored procedure does not filter the tables by CompanyID, so they process the entire data.
However, now we have a requirement to separate the data for each company. That means that we have to put a filter by CompanyID to each of those 20 tables in each query where the tables appear.
Firstly, I put the CompanyID in the context so now its value is accessible through the context_info() function. Thus I do not need now to pass it as a parameter to the stored procedures.
However, I don't know what is the easiest and fastest way to filter the tables. Example:
I modified the above mentioned procedure in the following way:
create procedure ABCasbegin /* some checks and expressions here ... */
-- gets the CompanyID from the context: DECLARE @CompanyID int; SELECT @CompanyID = CONVERT(float, CONVERT(varchar(128), context_info()))
select ... from A inner join B on (A.ID = B.REF_ID) where ...
and A.COMPANYID = @CompanyID and B.COMPANYID = @CompanyID /* ... */end;
Now I have the desired filter by CompanyID. However, modifying over 200 stored procedures is rather tedious work and I don't think that this is the best approach. Is there any functionality in SQL Server that can provide the possibility to put an automatic filter to the tables.
For example: when I wrote "SELECT * FROM A", the actual statements to be executed would be "SELECT * FROM A WHERE CompanyID = CONVERT(float, CONVERT(varchar(128), context_info()))".
I was looking for something like "INSTEAD OF SELECT" triggers but I didn't manage to find any answer.
I would very grateful is someone suggests a solution for something like "global table filter" (that will help me make an easy refactoring)?
Thanks in advance.
Best regards,
Beroetz
Problem setting is a geography dimension with multiple user defined hierarchies in SSAS 2008.Â
Ex.:Â
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.Â
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.
Howdy,
I have a table that has a group. In this group, I want to filter by 2 different expressions, concatenated with an OR. BUT I can't change the "And/Or" column value for the first entry because it is grayed out. The column will automatically change to an OR value if both my expression column fields are the same (which I don€™t want) but if I put any other value in to the expression field of the second row, the "And/Or" field of the first row automatically changes to an AND.
PLEASE! How do I get the And/Or field "ungrayed" so I can change it to what I want?
The 2 filters I and using check the UserID = to the user, and the other is checking a count to get the Top N 1. (So just showing the current user and the top producer)