This is a question regarding SSAS Cubes, MDX formulas and Power BI.
I have a measure with the active members per each month. So when I select for example 2018 it shouldn´t aggregate but return the last available month with active members, and if I break down by month it should give the active members for each month.
So I have this formula which works almost fine if querying in MS Management Studio:
with member [Measures].[Last existing SOCIOS] AS
Max(
EXISTING [DIM FECHA].[Jerarquía].[MES NOMBRE].members,
iif([Measures].[ACTIVOS] = 0,null,
[Measures].[ACTIVOS])
)
select {[Measures].[Last existing SOCIOS]} on columns,
[DIM FECHA].[MES NOMBRE].members on rows
from [cubo_Compromisos]
where [DIM FECHA].[AÑO].&[2018]
I would prefer to have the november value returned at the 'All' level. But this is not my main problem. The real issue is that when I use this measure in Power BI it behaves differently: when selecting multiple months it ignores the selected values and just returns the last value for the whole year.
In the screenshot below I have added the value returned by the KPI Card because that is the value that I want returned:
If I select items like this it does it right, but I need it to select all months, and not just one because I am using this measure along others:
Does anyone know the right MDX function to use or an alternative?
Edited: 23-11-2018
It does the same in a Pivot Table connected to a SSAS Cube.When I add the date dimension to the table it works fine. But when using the date dimension and filtering it without the dimension added as rows it returns the value for the whole year.
The function you are looking at is LastChild. Last Child on the upper level of the hierarchy will return the value you are looking at.
I think that function can be used in the Cube design in SSAS - then this will be the standard behavior. If you want to do it with a query you need to do something like:
SELECT [Date].[Fiscal].[Fiscal Quarter].[Q1 FY 2002].LastChild ON 0
FROM [Adventure Works]
To get the last month of the 1st quater (I used example from microsoft and another post on the subject )
Related
Would much appreciate any help on this.
I have a measure called "Sales" populated with values, however i am trying to turn the "Sales" value to 0, whenever the "Sales Flag" is set to 0.
Important Note: The Sales Flag is based on Date (lowest level of detail).
The difficulty that i am really experiencing and cant get a grip on, is how i am trying the display the MDX outcome.
As explained above, i would want to make the "Sales" value 0 whenever we have a 0 in the "Sales Flag" (which is based on the Date), but when I run the MDX Script I would wan't on the ROWS to NOT display the Date, but instead just the Week (higher Level to Date), as below shows:
I really have spent hours on this and can't seem to understand how we can create this needed custom Sales measure based on the Sales Flag on the date level, but having the MDX outcome display ROWS on Week level.
Laz
You need to define the member in the MDX before the select. Something like that:
WITH MEMBER [Measures].[Fixed Sales] as IIF([Sales Flag].currentMember=1,[Sales], 0)
SELECT [Measures].[Fixed Sales] on 0, [Sales Flag] on 1 from [Cube]
I am writing the code without SSAS here so it might not be the 100% correct syntax but you can get the general idea ;)
You can add the iif in the SELECT part but I find creating member to be the cleaner solution.
SELECT IIF([Sales Flag].currentMember=1,[Sales], 0) on 0, [Sales Flag] on 1 from [Cube]
If you have a control over the cube in SSAS you can create a calculated member there and you can access it easier.
Glad to hear if Veselin's answer works for you, but if not...
Several approaches are also possible.
Use Measure expression for Sales measure:
Use SCOPE command for Day level (if it's Key level of Date dimension). If it's not a key level you have to aggregate on EVERY level (week, year etc) to emulate AggregateFunction of Sales measure but with updated behavior for one flag:
SCOPE([Date].[Your Date Hierarchy].[Day].members,[Measures].[Sales]);
THIS=IIF([Sales Flag].CurrentMember = 1,[Measures].[Sales],0);
END SCOPE;
Update logic in DSV to multiply Sales column by SalesFlag. This is the easiest way from T-SQL perspective.
I'm trying to add a calculated member to my cube, which will return the first fiscal year where there is any data at all in a particular measure.
The purpose is to suppress (i.e. NULLify) various year-on-year calculated measures when the year is this first year: in that year, comparison with the previous year is meaningless.
I've got this so far:
WITH MEMBER Measures.DataStartYear_Sales
AS
HEAD(
NONEMPTY([Calendar].[Fiscal Periods].[Fiscal Year].Members,[Measures].[QuantityOrdered])
,1).Item(0).Properties("NAME")
At the moment:
a. It's a query-scoped measure, as that's easier to experiment with.
b. It returns the first year's Name, as that's easier to see. Eventually I'll just return the member itself, and do an IS comparison against the year hierarchy .CurrentMember in the other calculated member calculations.
The problem I expected, which has happened, is that I only want this measure to be calculated once, over the whole cube. But when I used it in a query, it obviously reacts to the context. For example, if I stick the Products dimension on ROWS, the value of this measure will be different for each row, because each product's earliest order date is different.
That is of course useful, but it's not what I want. Is there some way to force this measure to ignore the query context, and always return the same value?
I looked into SCOPE_ISOLATION and SOLVE_ORDER, but they don't do what I'm trying to do here.
I suppose I could specify a tuple of Dimension1.All, Dimension2.All.... DimensionN.All, covering all dimensions in the cube, but that seems messy and fragile.
I think you might be able to accomplish this with static sets. Here is an example using Adventure Works that produces the same first year regardless of context:
WITH STATIC SET FirstYear AS
HEAD
(
NONEMPTY([Date].[Calendar Year].[Calendar Year].MEMBERS, [Measures].[Internet Sales Amount])
, 1
)
MEMBER FirstYearName AS
FirstYear.ITEM(0).NAME
SELECT
[Measures].[FirstYearName] ON COLUMNS
, [Date].[Calendar Year].[Calendar Year].MEMBERS
//Add as many dimensions as you like here...for example
* [Product].[Product].[Product].MEMBERS
ON ROWS
FROM
[Adventure Works]
;
Example output:
That should hopefully put you on the right track.
I work with Pentaho BI and I am preparing data for simple dashboard. I have records with two level date dimension (year and month). When I do query from saiku:
WITH SET [~ROWS] AS
Hierarchize({{[Date].[Year].Members}, {[Date].[Month].Members}})
SELECT
NON EMPTY {[Measures].[Count]} ON COLUMNS,
NON EMPTY [~ROWS] ON ROWS
FROM [data]
Pentaho create a sum for every first month, every second month... (1-12) and sum for each year. I need a sum for every year+month pair. How do I have to edit query?
Actual chart:
Target chart:
I assume you use Pentaho CDE to create a dashboard.
Set up Banded Mode property of MDX query to Classic (instead of Compact).
For now sometimes I have problems with creating difficult calculated members in SSAS. Is it possible to make case which will SUM certain measure on certain level when user choose another certain level of dimension? For example we have standard time dimension with 4 levels:
Year
Month
Week
Day
Also we have some measure orders which have default function SUM in properties.
Which case do we need to calculate this: sum all orders in week which including current day which we have chosen already.
Also could you recommend me some nook or source for level up my mdx knowledge?
Thanks a lot.
Yes, it's possible, when you use MDX functions, which are connected with levels.
Here is an example with Year > Quarter > Month > Day hierarchy:
Use MDX calculated member to have a SUM of upper level member children (including selected one):
The same if you want to create calculation inside the cube:
CREATE MEMBER CURRENTCUBE.[Measures].[SameLevelMembers]
as SUM({[Report Date].[Report Date].CurrentMember.Parent.Children},[Measures].[Count]),
VISIBLE = 1 ;
And a result in cube browser:
Hundreds of articles you can find there: http://ssas-wiki.com/w/Articles#MDX
I also like this one: http://mdxpert.com because of well-structured info.
I want to extract data for same period last year and last month.
for this i am using Parallelperiod(), for eg
PARALLELPERIOD([date].[year],1,[date].[date].[20-Sep-2014]) ,
for which I am getting output : 21-Sep-2014
and
PARALLELPERIOD([date].[month],1,[date].[date].[20-Sep-2014]) ,
for which I am getting output : 16-Aug-2014
Same function would throw some other date for some other month
Can you guide about the issue, where i am doing wrong or if there is some other alternative to this?
You must have some dates that do not exist in the cube.
What the PARALLELPERIOD function is doing is saying ok we are 262 members at the [date] level into 2014 - then it goes to 2013 and finds the member at the [date] level that is also 262 members in. Therefore unless you have complete sets of dates in your cube this function will return surprising results.
Therefore the solution is to ensure that all historical dates are represented in the cube. These extra dates should not cause any extra overhead as they will be creating empty space in the cube which is dealt with very well by SSAS