I am new to MDX, and have a simple requirement which would be easy to do with SQL, but I would like to accomplish this with MDX.
I would like to combine the result, of 2 queries, so when quering the cube, I only send over 1 query.
select topcount( [Fact].[Year].children, 1,[Measures].[MoneyIn]) on columns
from [Cube]
and also this MDX query, to get the least money in, for a period of years.
select bottomcount( [Fact].[Year].children, 1,[Measures].[MoneyIn]) on columns
from [Cube]
Is there an easy way to accomplish this with MDX? Ideally I would have something :
MaxValue MinValue
10k -10k
Thanks! All help appreciated!
You could write your query a few different ways. This puts the counts in one column:
SELECT [Measures].[MoneyIn] ON COLUMNS,
{TOPCOUNT([Fact].[Year].children,1, [Measures].[MoneyIn]),
BOTTOMCOUNT([Fact].[Year].children,1, [Measures].[MoneyIn])} ON ROWS
FROM [Cube]
This is closer to your output but without the named columns
SELECT [Measures].[MoneyIn] *
{TOPCOUNT([Fact].[Year].children,1, [Measures].[MoneyIn]),
BOTTOMCOUNT([Fact].[Year].children,1, [Measures].[MoneyIn])
} ON COLUMNS
FROM [Cube]
Related
Problem: I'm trying to write a MDX query that will show the first date a member has measure values.
Data obstacles:
1. I don't have access to the data warehouse/source data
2. I can't request any physical calcs or CUBE changes
Looking for: I know this goes against what a CUBE should be doing, but is there any way to achieve this result. I'm running into locking conflicts and general run time issues.
Background: After some trial and error. I have a working query but sadly it's only is practical when filtered for <10 employees. I've tried some looping but there are ~60k employee ids in the cube with each one having 10-20 emp keys (one for each change in their employee info).
//must have values for measure 1 or 2
WITH
set NE_measures as
{
[Measures].[measure1] ,
[Measures].[measure2]
}
//first date with measure values for each unique emp key
MEMBER [Measures].[changedate] AS
Head
(
NonEmpty([Dim Date].[Date].[Date].allMEMBERS, NE_measures)
).Item(0).Member_Name
SELECT non empty {[Measures].[changedate]} ON COLUMNS,
non empty [Dim Employee].[Emp Key].[Emp Key].allmembers ON ROWS
FROM [Cube]
Try this:
MEMBER [Measures].[changedate] AS
Min(
[Dim Date].[Date].[Date].allMEMBERS,
IIF(
NOT(ISEMPTY([Measures].[measure1]))
OR NOT(ISEMPTY([Measures].[measure2])),
[Dim Date].[Date].CurrentMember.MemberValue,
NULL
)
);
I’m assuming the KeyColumn or ValueColumn is more likely to sort properly than the name. So if MemberValue doesn’t work then try Member_Key.
The most efficient way of accomplishing this would be to add a date column in the fact table with measure 1 and measure 2 then create a AggregateFunction=Min measure on it. But you said you couldn’t change the cube so I didn’t propose that superior option.
I have just started to work with OLAP Cubes. I have some questions about MDX queries. I have a query like:
WITH
MEMBER [Balance].[NegEXPENSE] AS '-[Balance].[Type].[EXPENSE]'
SET BalanceTypeSet AS {[Balance].[Type].[INCOME], [Balance].[NegEXPENSE]}
MEMBER [Balance].[TypeSum] AS AGGREGATE(BalanceTypeSet)
SELECT {Measures.[Sum]} ON COLUMNS,
{[Balance].[Type].[INCOME], [Balance].[Type].[EXPENSE], [Balance].[TypeSum]} ON ROWS
FROM [Balance Cube]
The result of this query like:
RESULT
This result doesn't have a name of the last row(TypeSum). How can I add a name for TypeSum?
Thanks.
You need to add calculated dimension member, try this:
WITH
MEMBER [Balance].[Type].[TypeSum] AS AGGREGATE(BalanceTypeSet)
SELECT {[Measures].[Sum]} ON COLUMNS,
{[Balance].[Type]} ON ROWS
FROM [Balance Cube]
I have an MDX query like this:
SELECT {[Gender].[Gender].AllMembers} ON COLUMNS,
{[Geography].[Country].AllMembers} ON ROWS FROM [myCube]
And I am trying to get this query as an olap4j object. I do this to set my dimension:
QueryDimension genderDim = myQuery.getDimension("GENDER");
But that produces just one column of "All Genders" and "All Geographys" respectively.
How do I get them broken down like the MDX query above?
If you switch to the MEMBERS function does that help?
SELECT
{[Gender].[Gender].MEMBERS} ON COLUMNS,
{[Geography].[Country].MEMBERS} ON ROWS
FROM [myCube];
I've just started to learn MDX and i want to do a query like that:
filter data by the cost ( i've already made that query but without the sum) like that:
SELECT [Measures].[SumOfSelled] ON 0,
FILTER ([From].[From].[City].members, [Measures].[SumOfSelled]>7000) ON 1
FROM [BI-Avia]
It's working
and it is OK
BUT!!!
I need also to show the sum of filtered elements under this filtered result by cities
I know how to find it separately:
with member [Measures].FilteredSum as sum(filter([From].From].City].members,Measures].SunOfSelled]>7000),Measures].[SumOfSelled])
select{SumOfSelled} on 0
from [BI-AVIA]
But i have to show this together!! The SUM under Filtered! two in one! I need youe help! I think it's very clear for you!!!
Just define the calculated member on the [From].[From] hierarchy and then combine both queries, using a union of sets (abbreviated with + in MDX):
with member [From].[From].FilteredSum as
sum(filter([From].[From].City].members, Measures].SumOfSelled]>7000))
SELECT [Measures].[SumOfSelled]
ON 0,
FILTER ([From].[From].[City].members, [Measures].[SumOfSelled]>7000)
+
{ [From].[From].FilteredSum }
ON 1
FROM [BI-Avia]
You could possibly define the filter as a set in the WITH clause, which would avoid that Analysis Services evaluates it twice.
I am new to MDX expressions and I am trying to create one that sums the value of a given measure filtered by dimensions.
In my database I have several different dimensions that have the same name: "Answer". To sum them up, I have created the query below:
WITH MEMBER Measures.Total as SUM ({[Activity].[Activity].&[14], [Activity][Activity].&[22]},
[Measures].[Activity time])
SELECT NON EMPTY [Measures].[Total] on COLUMNS from [My Analytics]
This query works, however I had to use the "&[14]" and "&[22]" statments that correspond to two different "Answer" dimensions.
Since I have more than two dimensions with the same name, is there a way to rewrite the query above in a way that I would select all these dimensions without having to add their unique ID? For example, I would re-write the query as something like this:
WITH MEMBER Measures.Total as SUM ({[Activity].[Activity].&["Answer"]},
[Measures].[Activity time])
SELECT NON EMPTY [Measures].[Total] on COLUMNS from [My Analytics]
Is this possible?
Thanks!
You can use the Filter function as following:
with
set [my-answers] as
Filter( [Activity].[Activity].members,
[Activity].[Activity].currentMember.name = 'Answer'
)
member [Measures].[Total] as Sum( [my-answers] )
...