MS SSAS-计算的成员以汇总每行基础数据出现的维度计数

发布于 2025-02-13 08:07:38 字数 668 浏览 0 评论 0原文

我通常使用自定义的Java内存OLAP Cube,但是我的客户要求我在SSAS女士中建模一个立方体。我以前从未使用过它,但是我已经有几个星期了,大部分是直接的(基于我事先组织事实和昏暗的表格)。

我想根据基本事实表中的字符串字段(Buysell,作为字符串)创建两个标准计数(BuyCount和SellCount)。

在我的Java中,我只使用一个计数来创建一个测量,该计数与=“ b”的过滤器(我知道它会变成MDX是count(filter(...)。

因此,我在vs 2022中找到了计算区域设计师

COUNT(FILTER([Deal].[Buy Sell].MEMBERS,[Deal].[Buy Sell].CURRENTMEMBER.MemberValue ="B"))

​ 成员

我也

COUNT(FILTER([Deal].[Buy Sell].Children,[Deal].[Buy Sell].CURRENTMEMBER.MemberValue ="B"))

正确的是,

只有2个

  • 鉴于书籍
  • 和国家是尺寸,

书籍

您应该看到该尺寸 tilleytech.com

I usually work with a custom Java in-memory OLAP cube however my client has asked me to model a cube in MS SSAS. I haven't used it before but I'm a few weeks in and most of it is straightforward (based on me organising fact and dim tables beforehand in SQL Server).

I want to create two standard count measures (BuyCount and SellCount) based on a string field in the underlying fact table (BuySell which is [B | S] as a string).

In my Java I just create a measure using a count with a filter against ="B" (which I know would get turned into MDX to be something like COUNT(FILTER(...).

So I found the calculations area in VS 2022 Designer.

I have added a calculated member as a measure and it's assigned to the Measures group I have (where standard measures are correctly aggregating).

I wrote this to test out BuyCount:

COUNT(FILTER([Deal].[Buy Sell].MEMBERS,[Deal].[Buy Sell].CURRENTMEMBER.MemberValue ="B"))

and this publishes and works however it returns only 1, which is correct in that there are only 2 members of the dimension.

I just tried this too:

COUNT(FILTER([Deal].[Buy Sell].Children,[Deal].[Buy Sell].CURRENTMEMBER.MemberValue ="B"))

So what am I missing and need to change in order for this to work and aggregate the Buy count of the underling rows returned for a given query?

E.g.

  • Book, BuyCount
  • Country, BuyCount

Given that Book and Country are dimensions and we should see the buy count for that dimension.

Thanks

Leigh
tilleytech.com

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烂人 2025-02-20 08:07:39

因此,我进行了尝试,但同时,我在这里问了这个问题,我在Microsoft Tech论坛上发布了问题,因为这是他们的产品之一! :)

因此,我正确地意识到我的上述计算只是根据过滤器计算维度的成员。

答案是在“衡量标准组”中添加核心行列量度(创建新度量时的下拉列表中的选择计数)。

我还将B/S字符串分为具有身份列的表格,然后在事实表中用IDS(1和2)代替了B/S,因此它更清洁,我认为更多的性能(基于东西存储的方式,在事实表中)。

然后将您的维度与度量的混合组合为元组,以放置在计算成员的MDX表达式窗口中:

 ([DimBuySell].[BuySell].&[B], [Measures].[Row count])

 ([DimBuySell].[BuySell].&[S], [Measures].[Row count])

我的MS问题中: https://learn.microsoft.com/en-us/aswers/questions/questions/914130/mss-ssas-calculation-member-to-to-wo--to-to-aggregate-count-count-count-count-a.html?

So I carried on trying stuff but also, at the same time I asked the question here, I posted on the Microsoft Tech Forums as after all it is one of their products! :)

So I had correctly realised my above calc was merely counting the members of the dimension based on the filter.

The answer was to add a core RowCount measure in the Measures group (select count of rows in dropdown when creating new measure).

I also separated out my B/S strings into a table with IDENTITY column and then in my fact table replaced the B/S with the IDs (1 and 2) so it's cleaner and i think more performant (based on the way stuff gets stored in the fact table).

Then combine a mix of your dimension with the measure as a tuple to be placed in the MDX expression window of a CalculatedMember:

 ([DimBuySell].[BuySell].&[B], [Measures].[Row count])

and

 ([DimBuySell].[BuySell].&[S], [Measures].[Row count])

from my MS question: https://learn.microsoft.com/en-us/answers/questions/914130/ms-ssas-calculated-member-to-aggregate-count-of-a.html?childToView=916215#answer-916215

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