I have created an MDX query which calculates the TOP 10 ZipCodes (according to my Patient Stay measure) as such:
WITH
MEMBER [Discharge Date].[Y-M-D].[ Aggregation] AS 'AGGREGATE( EXISTING { [Current Month] } )', SOLVE_ORDER = 0
SELECT
NON EMPTY { [Measures].[Patient Stays] }
ON COLUMNS,
TOPCOUNT({ ORDER( HIERARCHIZE( { [Patient].[ByZipcode].[All].CHILDREN } ), ( [Measures].[Patient Stays] ), BDESC ) }, 10)
ON ROWS
FROM [Patient Stay]
WHERE ( [Discharge Date].[Y-M-D].[ Aggregation], [Facility].[ByAffiliation].CURRENTMEMBER, [Facility].[ByRegion].CURRENTMEMBER )
This query is used to populate a PerformancePoint 100% Stacked Bar chart. The client has asked that since this is a !00% based chart, we lump the rest of the zip codes into an "Other" field, such that there should be 11 values: one for each of the top 10, and an eleventh which is a sum of the remaining Zip Codes.
I am an extreme novice to MDX, but this doesn't souund like it should be impossible. Does anyone have any ideas or suggestions?
I'll do my best with untested code, so here goes:
WITH
MEMBER [Discharge Date].[Y-M-D].[ Aggregation] AS 'AGGREGATE( EXISTING { [Current Month] } )', SOLVE_ORDER = 0
SET [Top10ZipCodes] AS
(TOPCOUNT({ ORDER( HIERARCHIZE( { [Patient].[ByZipcode].[All].CHILDREN } ), ( [Measures].[Patient Stays] ), BDESC ) }, 10))
MEMBER [Patient].[ByZipCode].[OtherZipCodes] AS
(AGGREGATE({EXCEPT([Patient].[ByZipCode].Members, [Patient].[ByZipCode].[Top10ZipCodes])}))
SELECT
NON EMPTY { [Measures].[Patient Stays] }
ON COLUMNS,
{[Top10ZipCodes], [Patient].[ByZipCode].[OtherZipCodes]}
ON ROWS
FROM [Patient Stay]
WHERE ( [Discharge Date].[Y-M-D].[ Aggregation], [Facility].[ByAffiliation].CURRENTMEMBER, [Facility].[ByRegion].CURRENTMEMBER )
What this does is creates a set of your top 10 ZIP codes, and then aggregates (different than sum!!!) all the ZIP codes, with the exception of your top 10.
Also, if this is a common set (top 10 ZIP codes), you may want to make a set on the cube, where you can reuse it ad nauseum, without having to change every MDX query you have.
Cheers,
Eric
Related
I am working with data in an OLAP-cube setup. I am wanting to display all Math Student Groups with the distinct student count for each group. Students get placed into a Math group based on how they scored on their math placement exam. They also get placed in every Math group lower than the one they placed into. (placed into Math 106, also a member of Math 105, 104, 103, 102, 101 and 100) Currently I am able to show only Math Groups on my rows and Distinct Students as a measure on the columns. The counts that display are only distinct per row and not for the entire report. So Math 100 group is displaying the count of all students in Math groups, not just Math 100.
WITH
/*- Qv6.0.3431.1887 -*/
SELECT
NON EMPTY
{
DISTINCT ( { [Measures].[Distinct Students] } )
}
PROPERTIES PARENT_UNIQUE_NAME, MEMBER_KEY, MEMBER_TYPE
ON COLUMNS,
NON EMPTY
{
{ [Student].[Student].[All Students] }
* { { { DISTINCT(
{ { FILTER(
{ { FILTER(
{ DESCENDANTS( [Student Group].[Student Group].[All Student Groups] , [Student Group].[Student Group].[Student Group]) } , InStr(1,IIF( ISERROR( [Student Group].[Student Group].CURRENTMEMBER.MEMBER_CAPTION ),"", [Student Group].[Student Group].CURRENTMEMBER.MEMBER_CAPTION ) , "Math") <> 0
) }
} , InStr(1,IIF( ISERROR( [Student Group].[Student Group].CURRENTMEMBER.MEMBER_CAPTION ),"", [Student Group].[Student Group].CURRENTMEMBER.MEMBER_CAPTION ) , "eligible") <> 0
) }
} ) }
} }
}
PROPERTIES PARENT_UNIQUE_NAME, MEMBER_KEY, MEMBER_TYPE
ON ROWS
FROM [Student Term]
WHERE ( [Terms].[Terms].[Term].&[138] )
CELL PROPERTIES FORMATTED_VALUE, VALUE, FONT_NAME
Here is a screenshot of the output:
Math Groups Student counts
I have tried searching all over here but was not successful in finding anything to help. I am by no means proficient in MDX, the reporting tool we use creates it based on what items we choose in the report builder (drag and drop mostly). The tool does allow you to create custom measures and elements using MDX. I really appreciate all assistance and please let me know if more information is needed.
Thanks!
====UPDATE 1-FEB-2017=======
thanks for your reply. I am finally getting to work on this again. I created custom measures in our front-end tool based on your code. I changed the [Measures].[StudentsCount] to [Measures].[Distinct Students] to match an available measure. If I select the 'StudentsCountDC' custom measure and run the report it returns nothing. If i select the 'IsStudentsTop' custom measure the counts it returns are extremely large like it isn't running for the selected term. Here is the new MDX that was generated after I ran the report with the newly created custom measure, 'StudentsCountDC'.
WITH
/*- Qv6.0.3431.1887 -*/
SELECT
NON EMPTY
{
DISTINCT ( { [Measures].[#~~2d0c2a98-fed9-4797-a573-170d3e450e4c~~#] } )
}
PROPERTIES PARENT_UNIQUE_NAME, MEMBER_KEY, MEMBER_TYPE
ON COLUMNS,
NON EMPTY
{
{ [Student].[Student].[All Students] }
* { [#~~9faf06d9-a022-493d-9dfd-dadd55793c37~~#] }
}
PROPERTIES PARENT_UNIQUE_NAME, MEMBER_KEY, MEMBER_TYPE
ON ROWS
FROM [Student Term]
WHERE ( [Terms].[Terms].[Term].&[136] )
CELL PROPERTIES FORMATTED_VALUE, VALUE, FONT_NAME
screenshots of new measures: IsStudentsTop & StudentsCountDC measures
Thanks again for your help!
It's a bit tricky, I personally haven't tested it yet. Hope, you'll get the point:
with
Member [Measures].[StudentsCountDC] as
SUM(
[Student].[Student].[Student].Members,
IIF(
not [Measures].[IsStudentsTop]
and
[Measures].[StudentsCount],
1,
NULL
)
)
Member [Measures].[IsStudentsTop] as
SUM(
{[Student Group].[Student Group].PrevMember:NULL},
[Measures].[StudentsCount]
)
IsStudentsTop checks whether StudentsCount exists in the upper groups (ordered by your attribute). StudentsCountDC checks if the current student has empty IsStudentsTop and StudentsCount is non empty, then returns 1 for each student, else returns Null.
I wanted to do the trend analysis between the dates. For an instance current date- 30 days
30-60 days and so on.Below is the snippet of comparable sql query but same I wanted to do in MDX.
SQL
SELECT
ROUND
(
(
(
(
SELECT
SUM(del_pri_impr)
FROM
reporting.so_sli_calc_val a,
reporting.user_group_tenant b,
reporting.salesorder c
WHERE
created_on BETWEEN DATE(now()-30) AND DATE(now())
)
-
(
SELECT
SUM(del_pri_impr)
FROM
reporting.so_sli_calc_val a,
reporting.user_group_tenant b,
reporting.salesorder c
WHERE
created_on BETWEEN DATE(now()-60) AND DATE(now()-30)
)
)
/
(
SELECT
SUM(del_pri_impr)
FROM
reporting.so_sli_calc_val a,
reporting.user_group_tenant b,
reporting.salesorder c
WHERE
created_on BETWEEN DATE(now()-60) AND DATE(now()-30)
) *100
)
,
0
) AS trend
MDX:
WITH
SET [~FILTER] AS
{[Created_Date.Created_Hir].[Created_On].[2014-04-01]:[Created_Date.Created_Hir].[Created_On].[2014-04-30]}
SET [~ROWS] AS
{[Sales Order Attributes SO.Sales_order].[Sales Order ID].Members}
SELECT
NON EMPTY {[Measures].[CONT_AMT_GROSS], [Measures].[CONT_AMT_NET]} ON COLUMNS,
NON EMPTY [~ROWS] ON ROWS
FROM [SALES_ORDER]
WHERE [~FILTER]
As of now I have hard coded the dates, that will come from parameters.
I am facing difficulty in creating the second set and how to do subtraction between two sets in MDX.
You already have the logic on how to obtain sets of date corresponding to "last 30 days from now" and "last 60 to last 30 days from now". So, I am going to skip that part.
NOTE - You would have to use the parameter values while building these sets.
What you want to do here is first find the values corresponding to these sets of dates and then perform operations on them.
You can proceed like this -
WITH
SET [~FILTER] AS
{[Created_Date.Created_Hir].[Created_On].[2014-04-01]:[Created_Date.Created_Hir].[Created_On].[2014-04-30]}
SET [~ROWS] AS
{[Sales Order Attributes SO.Sales_order].[Sales Order ID].Members}
SET [Last30Days] AS
...
SET [Last60ToLast30Days] AS
...
MEMBER [~Last30Days - Now] AS
Aggregate
(
[Last30Days],
[Measures].[SomeMeasure]
)
MEMBER [~Last60Days - Last30Days] AS
Aggregate
(
[Last60ToLast30Days],
[Measures].[SomeMeasure]
)
MEMBER [~Measure] AS
([~Last30Days - Now]-[~Last60Days - Last30Days] )/([~Last60Days - Last30Days] * 100), format_string = '#,##0'
SELECT
NON EMPTY {
[Measures].[CONT_AMT_GROSS],
[Measures].[CONT_AMT_NET],
[~Measure]
} ON COLUMNS,
NON EMPTY [~ROWS] ON ROWS
FROM [SALES_ORDER]
Format_String takes care of rounding.
Not sure if I totally agree with Sourav's answer as I think some form of aggregation will be needed; creating tuples with sets in them may raise an exception.
Here is a simple model, against AdvWrks, that is tested and will do a subtraction for you:
WITH
SET [Set1] AS
[Date].[Calendar].[Date].&[20060301]
:
[Date].[Calendar].[Date].&[20070308]
SET [Set2] AS
[Date].[Calendar].[Date].&[20070308]
:
[Date].[Calendar].[Date].&[20080315]
MEMBER [Date].[Calendar].[All].[Set1Agg] AS
aggregate([Set1])
MEMBER [Date].[Calendar].[All].[Set2Agg] AS
aggregate([Set2])
MEMBER [Date].[Calendar].[All].[x] AS
(
[Date].[Calendar].[All].[Set1Agg]
,[Measures].[Internet Sales Amount]
)
MEMBER [Date].[Calendar].[All].[y] AS
(
[Date].[Calendar].[All].[Set2Agg]
,[Measures].[Internet Sales Amount]
)
MEMBER [Date].[Calendar].[All].[x-y] AS
[Date].[Calendar].[All].[x] - [Date].[Calendar].[All].[y]
SELECT
{
[Date].[Calendar].[All].[x]
,[Date].[Calendar].[All].[y]
,[Date].[Calendar].[All].[x-y]
} ON 0
,[Product].[Category].[Category] ON 1
FROM [Adventure Works];
Reflecting against your code maybe something like the following:
WITH
SET [Set1] AS
[Created_Date.Created_Hir].[Created_On].[2014-04-01]
:
[Created_Date.Created_Hir].[Created_On].[2014-04-30]
SET [Set2] AS
[Created_Date.Created_Hir].[Created_On].[2014-03-01]
:
[Created_Date.Created_Hir].[Created_On].[2014-03-31]
MEMBER [Created_Date.Created_Hir].[All].[Set1Agg] AS
Aggregate([Set1])
MEMBER [Created_Date.Created_Hir].[All].[Set2Agg] AS
Aggregate([Set2])
MEMBER [Measures].[~Last30Days - Now] AS
(
[Created_Date.Created_Hir].[All].[Set1Agg]
,[Measures].[SomeMeasure]
)
MEMBER [Measures].[~Last60Days - Last30Days] AS
(
[Created_Date.Created_Hir].[All].[Set2Agg]
,[Measures].[SomeMeasure]
)
MEMBER [Measures].[~Measure] AS
([Measures].[~Last30Days - Now] - [Measures].[~Last60Days - Last30Days])
/
[Measures].[~Last60Days - Last30Days]
* 100
,format_string = '#,##0'
SET [~ROWS] AS
{
[Sales Order Attributes SO.Sales_order].[Sales Order ID].MEMBERS
}
SELECT
NON EMPTY
{
[Measures].[CONT_AMT_GROSS]
,[Measures].[CONT_AMT_NET]
,[Measures].[~Measure]
} ON COLUMNS
,NON EMPTY
[~ROWS] ON ROWS
FROM [SALES_ORDER]
WHERE
[~FILTER];
I'd like to be able to search the [Employee Department] hierarchy - within any of it's levels using a string: the following does this ok and finds all members related to the string "Control"
Now I have tried to add a cross join so that I can always see the department name for each of the rows and then ORDER by the department. If the commented section is uncommented I unfortunately get a full cartesian product - I only want the departments in the context of the members found by the filter - is this possible?
WITH
MEMBER [Measures].[LevelName] AS
[Employee].[Employee Department].Level.Name
MEMBER [Measures].[LevelNumber] AS
[Employee].[Employee Department].Level.Ordinal
SET [Set_TargetEmp] AS
{
FILTER(
[Employee Department].AllMembers,
(
InStr(
1,
[Employee].[Employee Department].currentmember.name,
"Control") <> 0
)
)
}
SELECT
// ORDER(
// [Department].members,
// [Department].[Department].MEMBERVALUE
// )
// *
ORDER(
DESCENDANTS(
[Set_TargetEmp],
[Employee].[Employee Department].[Department],
SELF_BEFORE_AFTER
),
[Measures].[LevelNumber],
BASC
) as X
ON 1,
{
[Measures].[LevelName],
[Measures].[LevelNumber]
} ON 0
FROM [Adventure Works]
Assuming you use Department the Department dimension, and the Employee Department is in a different dimension named Employee, you get a cross product. Analysis Services only applies "autoexists" within the same dimension. Across dimensions, you must apply this logic explicitly like this:
ORDER(
Exists([Employee].[Department Name].[Department Name].members,
[Set_TargetEmp]
),
[Department].[Department].MEMBERVALUE
)
for the commented block in your code should deliver what you want.
In case you have more than one measure group that relate to both the department and the employee dimensions, you should state the name of the measure group to use as the third argument of Exists. This is a string argument, hence this name should be included in quotes.
I'm using the following but i think there's probably a much simpler method of excluding the All members from the results?
WITH
SET [Non_All_Distributors] AS
{FILTER(
[Distributor Name].members,
(InStr(1, [Distributor Name].CurrentMember.NAME, "All") = 0)
)}
SET [Non_All_Countries] AS
{FILTER(
[Geography Country].members,
(InStr(1, [Geography Country].CurrentMember.NAME, "All") = 0)
)}
SELECT
NON EMPTY
[Dimension].[Hierarchy].DEFAULTMEMBER
ON COLUMNS,
NON EMPTY
[Non_All_Distributors]
*
[Non_All_Countries]
*
Tail([Date].[Date - Calendar Month].[Calendar Day].Members,60)
*
{
[Measures].[Revenue],
[Measures].[NumClients]
}
ON ROWS
FROM [OURCUBE]
Just use
SELECT
NON EMPTY
[Dimension].[Hierarchy].DEFAULTMEMBER
ON COLUMNS,
NON EMPTY
[dimension of Distributor Name].[Distributor Name].[Distributor Name].Members
*
[dimension of Geography Country].[Geography Country].[Geography Country].Members
*
Tail([Date].[Date - Calendar Month].[Calendar Day].Members,60)
*
{
[Measures].[Revenue],
[Measures].[NumClients]
}
ON ROWS
FROM [OURCUBE]
There is no need to define sets here. you can directly state the distributor and country members in the rows clause.
By repeating the attribute name, you restrict the attribute hierarchy - which you refer to by [dim].[attrib name] to the level below the All member, which happens to have the same name as the attribute again. An attribute hierarchy has two levels: level 0 contains the 'All' member and level 1 all the members of the attribute. (This is true only if you did not do special configurations like setting the attribute as non aggregateabable, but I assume the standard case, as you have All members in your hierarchies.
Apart from being more simple, this statement will run much faster, as Filter is a real performance killer in many cases.
I would use the Descendants function and the AFTER option as following; this way you get all the members of the hierarchy below the all member:
select
[Measures].[Amount] on 0,
Descendants([Customers].[Geography].[All], 1, AFTER ) on 1
from [Sales]
(edited: with a request working with MSAS Adv. Works : removed the distance param)
select
Measures].[Order Count] on 0,
Descendants( [Geography].[Geography].[All], , AFTER ) on 1
from [Adventure Works]
Using the illustrated mockup
(Note not all DimB members show so the total for DimA is larger than the sum of the displayed DimB, ignore this):
Query is showing (months,revenue) on 0, (dima,dimb) on 1 from cube
I would like some assistance in creating the calculated member that would calculate the running total across "Months" here (not a real time dimension).
Earlier i was using this one, but it was wrong on so many levels:
[Measures].[Accumulated Revenue] =
IIF(
([DimMonths].[Months].CurrentMember,[Measures].[Revenue]) = 0
AND ([DimMonths].[Months].CurrentMember.NextMember,[Measures].[Revenue]) = 0
,
IIF(
AGGREGATE({
[DimMonths].[Months].CurrentMember :
[DimMonths].[Months].Parent.LastChild
},[Measures].[Revenue]) = 0
,
NULL
,
Aggregate( {
[DimMonths].[Months].Parent.FirstChild :
[DimMonths].[Months].CurrentMember.PrevMember
}
,[Measures].[Revenue])
)
,
Aggregate( {
[DimMonths].[Months].Parent.FirstChild :
[DimMonths].[Months].CurrentMember
}
,[Measures].[Revenue])
)
Sounds like a job for a "scoped assignment". Basically, using a scoped assignment, you can overwrite the value of your calculated measure along the [Member_DimA_01] slice so that these values represent a running total instead of a sum of children.
Here's a good tutorial from Chris Webb on scoped assignments to help get you started...
Edit: here's a template for the running total calculation...
WITH
SET [Months] AS
{
[Date].[Calendar Month].&[2011 - Jan]
:
[Date].[Calendar Month].&[2011 - Dec]
}
MEMBER [Measures].[Running Total] AS
SUM(
{
[Date].[Calendar Hierarchy].[Calendar Month].&[2011 - Jan]
:
[Date].[Calendar Hierarchy].CurrentMember
}
,[Measures].[Revenue]
)
SELECT
NON EMPTY{
[Months]
} ON 0,
NON EMPTY{
[DimA].[Member].Allmembers *
[DimB].[Member].Allmembers
} ON 1
FROM
[<<cube name>>]
WHERE
[Measures].[Revenue Running Total]