I have a question regarding MDX queries :
I have a SUBSCRIPTION cube about magazine subscriptions with two measures : NEW SUBS. and RETURNING SUBS.
I'm trying to make a query that displays both measures for two periods of time, and also the percentage growth in the period.
Example :
DESIRED VIEW - EXAMPLE
But I can't get this view using standard MDX, because I can't put measures in both axis.
The result I've got so far (not user friendly):
Using measure ON COLUMNS:
RESULT - NOT USER FRIENDLY
How can I do that first view using MDX formulas?
Thanks in advance.
Make growth a member of your time hierarchy like this:
WITH MEMBER [Time].[Calendar Date].[Growth] AS
[Time].[Calendar Date].[Jan-12] / [Time].[Calendar Date].[Jan-13] - 1
,format_string="0%"
SELECT { [Time].[Calendar Date].[Jan-12], [Time].[Calendar Date].[Jan-13], [Time].[Calendar Date].[Growth] }
ON COLUMNS,
{ Measures.NEW, Measures.RETURNING }
ON ROWS
FROM [SUBSCRIPTION]
I was guessing some names of your cube, you will have to adapt the MDX to your situation.
Calculated members need not be a member of the measures hierarchy, they can be used on every hierarchy of your cube. And to answer the question in the title of your question: No, one hierarchy can only be used in one axis in an MDX query.
Related
All of the measure that I want to cumulative has the same formula. So, is there any way to use the thing like function or any thing in calculate measure to resolve this issue?
There are two ways to achieve your aim:
1- the first solution is based on using the business intelligence wizard to add time intelligence to your solution.
The time intelligence enhancement is a cube enhancement that adds time calculations (or time views) to a selected hierarchy. This enhancement supports the following categories of calculations:
List item
Period to date.
Period over period growth.
Moving averages.
Parallel period comparisons.
The wizard will let you chose the calculations and measures you want to apply.
Visit : https://learn.microsoft.com/en-us/analysis-services/multidimensional-models/define-time-intelligence-calculations-using-the-business-intelligence-wizard
Visit : http://www.ssas-info.com/analysis-services-articles/62-design/2465-ssas-time-intelligence-wizard
2- Use a dimension table to calculate your calculations, this solution is more complicated, but very powerful and one of the best practices.
The first step is to create a new physical dimension, with real
members for each of the calculations we're going to need. We don't
actually need to create a table in our data warehouse for this
purpose, we can do this with an SQL view like this
CREATE VIEW DateTool AS SELECT ID_Calc = 1, Calc = 'Real Value' UNION ALL SELECT ID_Calc = 2, Calc = 'Year To Date'
Next, we need to add this view to our DSV and create a dimension based
on it. The dimension must have one hierarchy and this hierarchy must
have its IsAggregatable property set to False. The DefaultMember
property of this hierarchy should then be set to the Real Value
member. Giving this dimension a name can be quite difficult, as it
should be something that helps the users understand what it does –
here we've called it Date Tool. It needs no relationship to any
measure group at all to work.
Our next task is to overwrite the value returned by each member so
that they return the calculations we want. We can do this using a
simple SCOPE statement in the MDX Script of the cube:
this code let you create the YEAR-TO-DATE aggregation for all your measures.
SCOPE ([Date Tool].[Calculation].[Year To Date]); THIS = AGGREGATE ( YTD ([Date Order].[Calendar].CurrentMember), [Date Tool].[Calculation].[Real Value]); END SCOPE;
Visit:https://subscription.packtpub.com/book/big_data_and_business_intelligence/9781849689908/6/ch06lvl1sec35/calculation-dimensions
I am new to SSAS. I have a requirement, I need to calculate no of working days between user selected date range (either in Excel or SSRS or PowerBI). I found the MDX query, I need assistance with create a named calculation with MDX expression.
Date Dimension (Filtered):
MDX:
WITH MEMBER Measures.WorkingDays AS
COUNT
(
exists( EXISTING {[Dim Date].[Date].[Date].members}
, [Dim Date].[Is Weekday].&[1] )
)
Select {Measures.WorkingDays} on 0 ,
[Dim Date].[Month].[Month] on 1
from [Project Cube]
where ([Dim Date].[Date].&[2018-01-01T00:00:00]:[Dim Date].[Date].&[2018-04-25T00:00:00])
I need to add this named column on Fact table as measurement. I am having trouble with the below items:
Creating named query with MDX expression mentioned.
Adding a [Number of Working Days] as measure in Fact table.
Please correct me, If I am doing it in wrong way. My requirement is I need a [NoOfWorkingDays] as measure in fact table, so that I can use SSAS aggregate to use it as input on other measure, such as ([utilization%] = ([ActualDaysWorked] / [NoofWorkingDays]).
Note that, I can do analysis with the given MDX, but I need to deploy it with precalculated values in cube, so that end user can directly use the cube.
Kindly let me know, if more details required, Thank you.
Welcome to SSAS and MDX. Now to the answer.
I need to add this named column on Fact table as measurement. I am
having trouble with the below items:
Creating named query with MDX expression mentioned. Adding a [Number
of Working Days] as measure in Fact table.
You dont need to add it to the Fact table at all. Open your SSAS project, in your object explorer double click your cube. Now on the top left hand you will see a CALCULATIONS tab. In the CALCULATION tab, Click new calculated member, the icon has a calculator on it.
Please correct me, If I am doing it in wrong way. My requirement is I
need a [NoOfWorkingDays] as measure in fact table, so that I can use
SSAS aggregate to use it as input on other measure, such as
([utilization%] = ([ActualDaysWorked] / [NoofWorkingDays]).
If I remember correctly, the calculated members will not be added into the Aggregations, however the underlying measures would be. Secondly if you are wondering that you can use your calculated Measure in another calculated measure. The answer is yes you can use it in another calculated measure. So this is totally possible
> ([utilization%] = ([ActualDaysWorked] / [NoofWorkingDays])
where [utilization%] and [NoofWorkingDays] are calculated measures.
I am on an MDX adventure and I'm at a point where I need to ask some questions.
I have a very basic dimension named Car. The attributes which comprise Car are as follows-
-Manufacturer
-Make
-Color
-Year
My fact table contains a sales measure ([Measures].[Sales]). I would like to know , without explicitly defining a user hierarchy, how to sum the sales from
a specific group in this hierarchy
For example, I want to sum the sales of all red Trucks made in 2002. My attempt errors out-
sum([Cars].[Make].[Make].&[Truck]&[Red]&[2002], [Measures].[Sales])
How can I navigate the attribute hierarchy in this way? I will be browsing the cube in excel
Thanks
If you open an mdx query in SSMS and drag a member from one of your attribute hierarchies into the query pain you will see the full name.
You definitely cannot chain hierarchies like this ...].&[Truck]&[Red]&[2002]
Each full name will likely be similar to what MrHappyHead has detailed but usually the attribute name is repeated e.g. for Make:
[Cars].[Make].[Make].&[Truck]
MrHappyHead have wrapped it all in the Sum function but this is not required - just wrap the coordinates in braces and a tuple is then formed which will point to the required area of the cube:
(
[Cars].[Make].[Make].&[Truck],
[Cars].[Color].[Color].&[Red],
[Cars].[Year].[Year].&[2002],
[Measures].[sales]
)
note: square brackets are pretty standard in mdx.
Is it something like:
Sum(
Cars.make.&[truck],
Cars.color.&[red],
Cars.year.[2002],
Measures.sales
)
I am creating a POC on the SSAS. Ultimate goal is to be able to perform any kind of the calculation either ad hoc calculation or pre calculated with good performance. Existing solutions is based on the SQL server but due to the performance issues with huge data facing issues.
I need some insight upon how the Cube works to give faster outputs. I have created date dimensions with hierarchy Year-> Semester-> Quarter -> Month -> Week -> Date. Several other dimensions are linked with the date dimension. My cube has almost 10 to 15 dimension which have several role playing dimensions.There are almost two to three dates in every fact table.
How the Cube aggregates the data based on the dimensions linked to the facts?
Does it internally creates all the combination of the dimension values and saves the fact aggregate data internally?
Here i have attached an MDX script which hase YTD,MTD,QTD Calculated Measures.[Measures].[Value] measure has to be added based on the function applied on the date dimension. Does SSAS internally sum up the [Measures].[Value] for various hierarchy of the date/Other dimension/s? What exactly SSAS does to provide the final value fast?
Our system has large number of the fields whose calculation depends on the value selected by the end user to the number has to be calculated at run time by aggregating some other measures. Does SSAS is fast to provide the Calcualted Member output by using the internally aggregated values generated during the cube processing?
With Member [Measures].[YTDValue] as ([Measures].[Value],
OpeningPeriod([Rundate].[Calendar].[Date],[Rundate].[Calendar].CurrentMember.Parent.Parent.Parent.Parent.Parent))
Member [Measures].[QTDValue]
as ([Measures].[Value],OpeningPeriod([Rundate].[Calendar].[Date],[Rundate].[Calendar].CurrentMember.Parent.Parent.Parent))
Member [Measures].[MTDValue]
as ([Measures].[Value],OpeningPeriod([Rundate].[Calendar].[Date],[Rundate].[Calendar].CurrentMember.Parent.Parent))
SELECT
{
[Measures].[YTDValue],
[Measures].[QTDValue],
[Measures].[MTDValue],
} on 0,
{
[Rundate].[Calendar].[Date].Members
} ON 1
FROM
(
select
{
[Rundate].[Calendar].[Date].&[2015-01-09T00:00:00]
} on 0
from [Cube_Sample]
)
I want to create a one-column hierarchy from multiple columns using mdx. I got this result:
from the Sales cube with this mdx:
SELECT
{ {[Measures].[Amount]} } ON COLUMNS,
{ [Customers].[Geography].firstNotAllLevel().allmembers }*{ [Product].[Product].[Category].allmembers }*{ [Time].[Quarter].firstNotAllLevel().allmembers } ON ROWS
FROM [Sales]
I want the first three columns to form a hierarchy that looks like this:
Is this possible in icCube using mdx? If it is, can you show me how?
Using standard MDX you can't solve the problem as you can not navigate across hierarchies on a single MDX statement.
What we're looking for is to define our own hierarchy for navigation. Using icCube you've two different ways :
1) You can use Categories to define at will a new hierarchy. Check documentation (categories-howto, categories-doc and categories-example ). Bear in mind that for the new hierarchy the parent / child relation is just visual and not data related (e.g. parent is the sum of his children)
2) You can define your navigation logic using the reporting tool. But this has his limitations in the current version 5.1 (most probably we will fix for 5.1.1)