计算 MDX 中的累积和

发布于 2024-09-18 18:25:37 字数 917 浏览 2 评论 0原文

我需要一个 MDX 查询,它根据度量的累积和返回前 N% 的行。棘手的部分是,必须根据与用于求和的度量不同的度量对集合进行排序,因此无法使用 TopPercent 函数。

为了澄清我需要什么,这是一个例子。我想以尽可能少的包装购买至少 1000 克肉。然而,这不仅仅是包装的重量,我想要的是质量,所以我想优先考虑肉类含量最高的产品。可用的产品如下:

|| Name      || Weight || PercentageOfMeat ||
| Product 1  | 500     |  20               |
| Product 2  | 250     |  60               |
| Product 3  | 1000    |  25               |
| Product 4  | 400     |  50               |
| Product 5  | 400     |  40               |

因此,为了获得我想要的产品,我首先按 PercentageOfMeat 降序排序以满足我的首要任务。然后我会将产品的重量累加起来,直到达到 1000 克的限制。结果应该是产品 2、产品 4 和产品 5。这很简单。

但在 MDX 中可以做到这一点吗? TopPercent(或者在本例中为TopSum)本来是完美的,但它不允许我使用不同的度量进行排序和求和。如果我只想要最重的产品,那就行了。引用文档,该函数:

按降序对集合进行排序,并返回累积总计等于或大于指定百分比的最高值的元组集合。

我基本上需要的是 TopPercent 函数,它不会对集合进行排序,但据我所知,没有。那么是否可以做我想做的事情,或者我必须在服务器代码中计算它?

I need a MDX query which returns the top N percent of the rows based on a cumulative sum of a measure. The tricky part is that the set must be ordered based on a different measure than is used for the sum, so using the TopPercent function is not possible.

To clarify what I need, here's an example. I want to buy at least 1000 grams of meat in as few packages as possible. However, it is not just about the weight of the package, I want quality, so I want prioritize products that contain the highest percentage of meat. The available products are these:

|| Name      || Weight || PercentageOfMeat ||
| Product 1  | 500     |  20               |
| Product 2  | 250     |  60               |
| Product 3  | 1000    |  25               |
| Product 4  | 400     |  50               |
| Product 5  | 400     |  40               |

So, to get what I want, I would first sort descendingly by PercentageOfMeat to meet my first priority. Then I would sum the weights of the products cumulatively until I reach the 1000 gram limit. The result should be Product 2, Product 4 and Product 5. That's simple enough.

But is it possible to do this in MDX? TopPercent (or in the case of the example, TopSum) would otherwise be perfect, but it does not allow me to use different measures for sorting and summing. If I wanted just the products that weight the most, it would work. To quote the documentation, the function:

Sorts a set in descending order, and returns a set of tuples with the highest values whose cumulative total is equal to or greater than a specified percentage.

What I basically need is TopPercent function that does not sort the set, but as far as I know, there is none. So is it possible to do what I want or do I have to calculate this in server code?

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沉睡月亮 2024-09-25 18:25:37

首先结合 Order() 来根据肉类百分比对产品进行排序,然后根据累积重量对其进行 Filter() 怎么样?

在[Adventure Works]中,以下代码显示了订购最多且累计销量低于某个值的山地自行车:

with 

   set [mbikes] as order( [Product].[Product Categories].[mountain bikes].children, [order count], BDESC ) 

select 

    { [order count], [sales amount] } on 0,

    filter( [mbikes], sum( subset( [mbikes], 0, [mbikes].currentOrdinal ), [sales amount] ) < (8 * 1000 * 1000)  ) on 1 

from [adventure works]  

给出以下内容:

                          Order Count    Sales Amount
Mountain-200 Black, 38          743      $2,589,363.78
Mountain-200 Black, 42          671      $2,265,485.38
Mountain-200 Silver, 38         641      $2,160,981.60

How about combining an Order() first to get your products sorted according to their percentage of meat and then Filter() them according to their cumulative weight ?

In [Adventure Works] the following code is showing the most ordered mountain bikes whose cumulative sales amount is lower to a certain value:

with 

   set [mbikes] as order( [Product].[Product Categories].[mountain bikes].children, [order count], BDESC ) 

select 

    { [order count], [sales amount] } on 0,

    filter( [mbikes], sum( subset( [mbikes], 0, [mbikes].currentOrdinal ), [sales amount] ) < (8 * 1000 * 1000)  ) on 1 

from [adventure works]  

giving the following:

                          Order Count    Sales Amount
Mountain-200 Black, 38          743      $2,589,363.78
Mountain-200 Black, 42          671      $2,265,485.38
Mountain-200 Silver, 38         641      $2,160,981.60
~没有更多了~
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