计算成员作为由元组和集合过滤的现有度量

Calculated Member as an existing measure filtered by both a tuple and a set

我希望在 OLAP 多维数据集上使用 SQL Server Data Tools Analysis Services 创建一个计算成员,该多维数据集结合以下过滤方法:

元组

(
    [Enrolment Planning Actuals].[Year].&[1],
    [Enrolment Planning Actuals].[Attribute 1].&[Y],
    [Enrolment Planning Actuals].[Attribute 2].&[N],
    [Enrolment Planning Actuals].[Attribute 3].&[N],
    [Measures].[Count]
)

设置为单个成员

SUM(    
    EXCEPT(
        [Enrolment Planning Actuals].[Year].[Year],
        {
            [Enrolment Planning Actuals].[Year].&[1]
        }
    ),
    [Measures].[Count]
)   

[Enrolment Planning Actuals].[Year] 的成员值为 1、2、3、4,我基本上希望计算成员提供 [Measures].[Count] 过滤条件:

我认识到 SUM 函数可能是尝试组合这些过滤器的错误方法。

我发现文章 MDX Calculated member filter by dimension attribute 的已接受答案到目前为止非常有用。

也许这种思维方式从根本上是有问题的。欢迎提出建议,谢谢。

你快到了,兄弟。

只是扩展了 settuple 的概念,并添加了 crossjoin* 的概念,下面是应该起作用的:

WITH MEMBER Measures.YourCalculatedMember AS

SUM(
    EXCEPT(
            [Enrolment Planning Actuals].[Year].[Year],
            {
                [Enrolment Planning Actuals].[Year].&[1]
            }
          ) *
    [Enrolment Planning Actuals].[Attribute 1].&[Y] *
    [Enrolment Planning Actuals].[Attribute 2].&[N] *
    [Enrolment Planning Actuals].[Attribute 3].&[N]
    ,
    [Measures].[Count]
  )

我认为您甚至可以删除度量并在属性层次结构之一上创建成员。然后你可以使用不同的措施来对抗它:

WITH MEMBER [Enrolment Planning Actuals].[Attribute 1].[YourCalculatedMember] AS
SUM(
    EXCEPT(
            [Enrolment Planning Actuals].[Year].[Year],
            {
                [Enrolment Planning Actuals].[Year].&[1]
            }
          ) *
    [Enrolment Planning Actuals].[Attribute 1].&[Y] *
    [Enrolment Planning Actuals].[Attribute 2].&[N] *
    [Enrolment Planning Actuals].[Attribute 3].&[N]
  )
SELECT
   {
     [Measures].[Count],
     [Measures].[Revenue]
   } on 0,
   {  
     [Enrolment Planning Actuals].[Attribute 1].[YourCalculatedMember], 
     [Enrolment Planning Actuals].[Attribute 1].&[Y]
   } on 1
FROM [YourCube];