I am facing some problem to calculate values from comparing dimension's value. I have 3 dimensions (Datatype, Customer, Product) and one measure (GrossSales).
What would be the MDX query if I want GrossSales for ProductID = 1,2,3 and Dataype = 4,5,6?
Here Datatype has relationship with GrossSales, Customer has relationship with GrossSales and Product has relationship with Customer.
I am trying this but doesn't work
CREATE MEMBER CURRENTCUBE.[Measures].Forecast_Gross_Sales AS
(
SELECT NON Empty [Measures].[Gross Sale]
FROM [Measures]
WHERE (
[Data Type].[ID].[ID] = 4
AND [Chain].[Customer ID] = [Measures].[Customer ID]
)
), VISIBLE = 1
, DISPLAY_FOLDER = 'Forecast'
, ASSOCIATED_MEASURE_GROUP = 'Data Types';
It looks like you are just getting started with MDX. There are some fundamental concepts that will help you get what you need. This comparison of SQL and MDX might be helpful. MDX uses the where clause as a slicer (to select certain dimension members) rather than a filter. You can't put member = somevalue in the where clause. And you can't really use the where clause to define a relationship to some other table.
Instead, your where clause would be something more like
[Data Type].[ID].[ID].&[4]
Since I can't see your data model, I can't be sure, but I would guess that [Chain].[Customer ID] = [Measures].[Customer ID] is something that you want to define the the dimension usage of your cube rather than in the query.
Edit: Now that the question has been edited, it looks like you are creating a calculated member. in this case there is no select or where clause. It will look more like this:
CREATE MEMBER CURRENTCUBE.[Measures].Forecast_Gross_Sales AS
Aggregate([Data Type].[ID].[ID].&[4], [Measures].[Gross Sale])
, VISIBLE = 1
, DISPLAY_FOLDER = 'Forecast'
, ASSOCIATED_MEASURE_GROUP = 'Data Types';
The relationship from the measure group through the Customer dimension to the Chain dimension is something that should be defined in the dimension usage. This is called a Reference dimension relationship.
Related
I have two tables. One table is the main registered Boat table that holds most of the information. it has many columns one of them is [MFR CODE].
The other table is a reference table that contains all the records associated with only Business Boats and it has only 3 columns : [MFR CODE], [MFR NAME] & [MODEL]
I'm trying to find how many times (count) Business Boats appear in the Registered boat tables.
SELECT
Count(*) As 'TotalNumberBoats'
, [BoatsReg].[dbo].[MASTER].[MFR MDL CODE]
,[BoatsReg].[dbo].[BusinessBoats].[MFR]
,[BoatsReg].[dbo].[BusinessBoats].[MODEL]
FROM [BoatsReg].[dbo].[MASTER],[BoatsReg].[dbo].[BusinessBoats]
Where [BoatsReg].[dbo].[MASTER].[MFR MDL CODE] = [BoatsReg].[dbo].[BusinessBoats].[CODE]
group by [BoatsReg].[dbo].[BusinessBoats].[CODE]
order by TotalNumberBoats asc
How do i get rid of all the square brackets, it's annoying.
why do i get an error ?
Well when you aggregate a result, you have to specify all other fixed columns in the GROUP BY clause
(Answer edited to add total row with a UNION ALL and add a sort field to put the total row as last one)
In your case:
SELECT 1 as sorted,
,Count(*) As TotalNumberBoats
,MASTER.[MFR MDL CODE]
,BusinessBoats.MFR
,BusinessBoats.MODEL
FROM BoatsReg, BusinessBoats
Where MASTER.[MFR MDL CODE] = BusinessBoats.CODE
Group by
,MASTER.[MFR MDL CODE]
,BusinessBoats.MFR
,BusinessBoats.MODEL
UNION ALL
SELECT 2 as sorted,
,Count(*) As TotalNumberBoats
,'','',''
FROM BoatsReg
Order by sorted, TotalNumberBoats
I have a CustomerToFactor as a Measure and Customer as a Dimension. Now I want to create a MDX code like this SQL code but I can't. because (WITH) statements has another meaning in MDX.
with Total_Customer(
select cus_id
,sum(ctf_price) cus_total_price
from dbo.Customer
join dbo.CustomertoFactor on cus_id = ctf_cus_id
group by cus_id
)
select cus_id
,cus_name
,ctf_date
,ctf_price
,(cus_total_price / 100 * ctf_price) as Price_pro_customer
from dbo.Customer
join dbo.CustomertoFactor on cus_id = ctf_cus_id
join Total_Customer on Total_customer.cus_id = dbo.Customer.cus_id
SELECT NON EMPTY { [Measures].[ctf_date]
,[Measures].[ctf_price]
, (?) Price_pro_customer
} ON COLUMNS
,NON EMPTY {[Customer].[Customer - cus_name].[Customer - cus_name].ALLMEMBERS}
FROM [CustomerToFactor]
Thanks for your Answers. but it doesn't work. Actually I want it to be grouped for every name you name. for Example: for the name Alex only the sum would have to be calculated for Alex(100+300 = 400) as well as Group by.
I do not really understand the point of the calculation :)
But anyway, in MDX you can have your own measures calculated like this:
WITH MEMBER [Measures].[Price_pro_customer] AS
(SUM([Measures].[ctf_price]) / 100 * [Measures].[ctf_price])
SELECT NON EMPTY { [Measures].[ctf_date]
,[Measures].[ctf_price]
,[Measures].[Price_pro_customer]
} ON COLUMNS
,NON EMPTY {[Customer].[Customer - cus_name].[Customer - cus_name].ALLMEMBERS}
FROM [CustomerToFactor]
I am not sure you'll get the same result as the SQL query though, since you have [Customer].[Customer - cus_name].[Customer - cus_name].ALLMEMBERS on the rows which basically does a GROUP BY on the customer name.
So if in the table you had several rows for the same customer the output of MDX query should be 1 row for each customer. The SUM([Measures].[ctf_price]) is also different since it sums over all customers
I think you should create a date dimension reference to ctf_date.
Then your mdx should be as below:
WITH MEMBER [Measures].[Price_pro_customer] AS
SUM([DimDate].[ctf_date].[All], [Measures].[ctf_price]) / 100 * [Measures].[ctf_price]
SELECT NON EMPTY {
[Measures].[ctf_price] ,
[Measures].[Price_pro_customer]
} ON COLUMNS ,
NON EMPTY {[Customer].[Customer - cus_name].[Customer - cus_name].ALLMEMBERS *
[DimDate].[ctf_date].[ctf_date].ALLMEMBERS} ON ROWS
FROM [CustomerToFactor]
I'm trying to create a Calculated Member in my cube with where clause but couldn't figure how to achieve the proper result.
I created a calculated member "Outlook" using the below code to display only Forecast values.
CREATE MEMBER CURRENTCUBE.[Measures].[Outlook]
AS SUM(([Source Profile].[Source Profile Hierarchy].CurrentMember,
[Source Profile].[Profile Level01].&[Outlook]),
[Measures].[USD Amount]),
FORMAT_STRING = "#,##0;(#,##0)",
VISIBLE = 1 , DISPLAY_FOLDER = 'USD' , ASSOCIATED_MEASURE_GROUP = 'CARS';
Cube Result
Now I would like to filter the results dynamically based on another hidden dimension "Current_Month". This dimension always has current financial period value and it's corresponding outlook profile
Year_Month Outlook_Profile
2015010 10 + 2
Expected result should be "Outlook" measure showing value based on Current_Month dimension, which is '10 + 2' and rest of them should be 0
Expected result
Just to explain the requirement in SQL terms, I would like to achieve the below in MDX
Where Fact.Source_Profile=Dimension.Source_Profile
instead of
Where Fact.Source_Profile='10 + 2'
I'm not sure how to achieve this in Where Clause or by another means. I could see examples of hard coding values, like year.&[2015] but haven't seen one using dynamic values.
I found a solution myself and thought of sharing the same. Used StrToMember function to pass hidden dimension's member as a variable here.
CREATE MEMBER CURRENTCUBE.[Measures].[Outlook]
AS (
Sum
(
(
[Source Profile].[Source Profile Hierarchy].CurrentMember,
strtomember("[Source Profile].[Source Name].&[" + [Outlook Profile].[Outlook Profile].&[1].Member_Caption + "]")
)
,[Measures].[USD Amount]
)
),
FORMAT_STRING = "#,##0;(#,##0)",
VISIBLE = 1 , DISPLAY_FOLDER = 'USD' , ASSOCIATED_MEASURE_GROUP = 'CARS' ;
I have problem with my SSAS Cube.
I have to implement basic calculation to my Cube:
sum(Ammount) where BOOK = "Assets" and CD_PRODUCT_L4 <> "LoanLoss"
My dimmension is in image below:
Dimension attributes: BOOK, CD_PRODUCT_L4, CD_PRODUCT_L5, ..
Hierarchy PROD: CD_PRODUCT_L4 - CD_PRODUCT_L5
CREATE MEMBER CURRENTCUBE.[Measures].[Principal Loans]
AS (
except(
[PLV PRH HDIM CB].[BOOK].&[ASSETS_ON],
[PLV PRH HDIM CB].[COD PRODUCT L4].&[51L4]
),
[Measures].[EOM PRINCIPAL_a])
The biggest thing is that conditions are not from same hierarchy level so I can't use except and I know no other way to implement this particular condition set
Please HELP, Thank you
Product dimmension model
I manage to solve the issue by adding hierarchy to my dimension which allowed me to use except as I wanted before but I'am not satisfied with this solution because it looks more like workaround then solution
CREATE MEMBER CURRENTCUBE.[Measures].[Principal Loans] AS
sum((except([PLV PRH HDIM CB].[Hierarchy BOOK].[BOOK].&[ASSETS_ON].children,[PLV PRH HDIM CB].[Hierarchy BOOK].[COD PRODUCT L4].&[51L4]),[Measures].[EOM PRINCIPAL_a]))
This is probably the closest example that I can provide you to what you need.
This, code below, is just one of about 50 or so Measures we have defined, ranging from Counts, Averages, Sums, Percentages, etc. We take a single DW value and perform at least 2 seperation calculations, most have 4 or more different calculations, from that one field.
CREATE MEMBER CURRENTCUBE.[Measures].[Count Previous Difference]
AS Case
// Test for current coordinate being on (All) member.
When [Date].[YearMonth].CurrentMember.Level Is [Date].[YearMonth].[(All)]
Then "NA"
Else
( [Date].[YearMonth].CurrentMember, [Measures].[Gross Count] )
-
( ParallelPeriod (
[Date].[YearMonth].CurrentMember.Level,
1,
[Date].[YearMonth].CurrentMember
),
[Measures].[Gross Count]
)
End,
FORMAT_STRING = "#,##0.00;-#,##0.00",
NON_EMPTY_BEHAVIOR = { [Gross Count] },
VISIBLE = 0 , ASSOCIATED_MEASURE_GROUP = 'Some Summary';
Keep in mind we also use our DW & Cube with SharePoint and SSRS reports.
i want to ask, if there is some function in MDX language, which returns me a same value in any case..
I created a calculated member, that's indicate how much value was sold on last year. It's work fine. But if I in slicer or filter exclude year value of the last year, i get nothing. Is there any function, that calculate a value with no filter?
For example, I need function like calculate in DAX in power pivot.
Thanks
Edit:
MDX calculated member for [Mat value]:
CREATE MEMBER CURRENTCUBE.[Measures].[MAT value]
AS SUM([03 Datumy].[MAT].&[MAT],[Measures].[Sales value]),
FORMAT_STRING = "#,##0.00;-#,##0.00",
VISIBLE = 1 , DISPLAY_FOLDER = 'Sales value' , ASSOCIATED_MEASURE_GROUP = '04 Hodnoty' ;
MDX calculated member for [Mat-1 value]:
CREATE MEMBER CURRENTCUBE.[Measures].[MAT-1 value]
AS SUM([03 Datumy].[MAT].&[MAT-1],[Measures].[Sales value]),
FORMAT_STRING = "#,##0.00;-#,##0.00",
VISIBLE = 1 , DISPLAY_FOLDER = 'Sales value' , ASSOCIATED_MEASURE_GROUP = '04 Hodnoty' ;
mat2014 http://www.attanon.eu/mat2014.PNGmat2013 http://www.attanon.eu/mat2013.PNG
filters http://www.attanon.eu/filters.PNGall http://www.attanon.eu/allmat.PNG
Edit2:
MAT and MAT-1 is based on column with this value. I have dimension like this:
dimension http://www.attanon.eu/dimension.PNG
And data looks that:
datumy http://www.attanon.eu/datumy.PNG
Relationship in [03 Datumy]:
relations http://www.attanon.eu/relations.PNG
The mat is calculated in SQL server. Because, i don't have much time to calculate the hiearchy in cube.
(discussion updates were removed as lack of necessity)
UPDATE to fix an issue:
Since your calculation, that determines months belonging to certain month, based on SQL, you can filter-out Date hierarchy by rewriting MAT-measures with adding [03 Datumy].[Year].[All]:
CREATE MEMBER CURRENTCUBE.[Measures].[MAT value]
AS ([03 Datumy].[MAT].&[MAT],[03 Datumy].[Year].[All],[Measures].[Sales value]),
FORMAT_STRING = "#,##0.00;-#,##0.00",
VISIBLE = 1 , DISPLAY_FOLDER = 'Sales value' , ASSOCIATED_MEASURE_GROUP = '04 Hodnoty' ;
and the same for next one:
CREATE MEMBER CURRENTCUBE.[Measures].[MAT-1 value]
AS ([03 Datumy].[MAT].&[MAT-1],[03 Datumy].[Year].[All],[Measures].[Sales value]),
FORMAT_STRING = "#,##0.00;-#,##0.00",
VISIBLE = 1 , DISPLAY_FOLDER = 'Sales value' , ASSOCIATED_MEASURE_GROUP = '04 Hodnoty' ;
Actually, it's an equivalent of old SSAS-2000 function .Ignore.