问题
This simple mdx query do work in SSMS:
SELECT
CrossJoin({[Measures].[Qnt]},
{[Sales_step].CHILDREN}) ON COLUMNS,
[City] ON ROWS
FROM [SALES_PIPE]
But it fails to run within Visual Studio for rdl report. An error accures:
The query cannot be prepared: The query must have at least one axis.
The first axis of the query should not have multiple hierarchies,
nor should it reference any dimension other than the Measures dimension..
Parameter name: mdx (MDXQueryGenerator)
I've found another syntax to retrieve results, but it's cols are hardcoded and script is slow:
WITH
MEMBER [Measures].[Contacts] AS
CASE WHEN [Sales_step].CURRENTMEMBER IS [Sales_step].&[contact]
THEN [Measures].[Qnt] ELSE null END
MEMBER [Measures].[Clients] AS
CASE WHEN [Sales_step].CURRENTMEMBER IS [Sales_step].&[client]
THEN [Measures].[Qnt] ELSE null END
MEMBER [Measures].[Funded] AS
CASE WHEN [Sales_step].CURRENTMEMBER IS [Sales_step].&[funded]
THEN [Measures].[Qnt] ELSE null END
SELECT {[Measures].[Contacts],
[Measures].[Clients],
[Measures].[Funded]} ON COLUMNS,
NON EMPTY
FILTER(crossjoin({[City].CHILDREN},
{[Sales_step].CHILDREN}),
[Measures].[Contacts] > 0 OR
[Measures].[Clients] > 0 OR
[Measures].[Funded] > 0) ON ROWS
FROM [SALES_PIPE]
The part, which makes it very slow - is not calculated members, it is crossjoin of City and Sales_step dimensions on rows, which I have to make (othewise, with City dim on rows only, - I get null results on columns). Any suggestions how can I make my mdx faster?
回答1:
Does this give the same results? Is it any quicker?
WITH
MEMBER [Measures].[Contacts] AS
Sum
(
IIF
(
[Sales_step].CurrentMember IS [Sales_step].&[contact],
,[Measures].[Qnt]
,null
)
)
MEMBER [Measures].[Clients] AS
Sum
(
IIF
(
[Sales_step].CurrentMember IS [Sales_step].&[client]
,[Measures].[Qnt]
,null
)
)
MEMBER [Measures].[Funded] AS
Sum
(
IIF
(
[Sales_step].CurrentMember IS [Sales_step].&[funded]
,[Measures].[Qnt]
,null
)
)
SET [yourMeasures] AS
{
[Measures].[Contacts]
,[Measures].[Clients]
,[Measures].[Funded]
}
SET [CitySales] AS
[City].Children * [Sales_step].Children
SET [CitySalesNonEmpty] AS
Union
(
NonEmpty([CitySales],[Measures].[Contacts])
,NonEmpty([CitySales],[Measures].[Clients])
,NonEmpty([CitySales],[Measures].[Funded])
)
/*
//>>>>Alternative syntax for above union>>
SET [CitySalesNonEmpty] AS
NonEmpty([CitySales],[Measures].[Contacts])
+NonEmpty([CitySales],[Measures].[Clients])
+NonEmpty([CitySales],[Measures].[Funded])
//>>>>
*/
SELECT
[yourMeasures] ON COLUMNS
,NON EMPTY
[CitySalesNonEmpty] ON ROWS
FROM [SALES_PIPE];
回答2:
Try using the below query in SSRS.
SELECT [Measures].[Qnt] ON COLUMNS,
NonEmpty
(
[Sales_step].CHILDREN
*
[City], [Measures].[Qnt]
) ON ROWS
FROM [SALES_PIPE]
Having said that, I am assuming you are declaring the named set [City]
above this bit of code.
回答3:
Thanks to @whytheq's proposal to avoid using slow Filter() func and CASE condition - I post a new optimised code here with subcube request and IIF condition. It runs much faster:
WITH
MEMBER [Measures].[Contacts] AS
IIF([Sales_step].CURRENTMEMBER IS [Sales_step].&[contact], [Measures].[Qnt], null)
MEMBER [Measures].[Clients] AS
IIF([Sales_step].CURRENTMEMBER IS [Sales_step].&[client], [Measures].[Qnt], null)
MEMBER [Measures].[Funded] AS
IIF([Sales_step].CURRENTMEMBER IS [Sales_step].&[funded], [Measures].[Qnt], null)
SELECT {[Measures].[Contacts],
[Measures].[Clients],
[Measures].[Funded]} ON COLUMNS,
NON EMPTY
crossjoin({[City].CHILDREN},
{[Sales_step].CHILDREN}) ON ROWS
FROM ( SELECT ( [Sales_step].MEMBERS ) ON COLUMNS
FROM [SALES_PIPE])
来源:https://stackoverflow.com/questions/30975618/ssrs-mdx-report-use-dimension-on-columns