Sum where version is highest by another variable (no max version in the whole data)

问题

I'm struggling having this measure to work.

I would like to have a measure that will sum the Value only for the max version of each house.

So following this example table:

|---------------------|------------------|------------------|
|      House_Id       |     Version_Id   |     Value        |
|---------------------|------------------|------------------|
|          1          |         1        |       1000       |
|---------------------|------------------|------------------|
|          1          |         2        |       2000       |
|---------------------|------------------|------------------|
|          2          |         1        |       3000       |
|---------------------|------------------|------------------|
|          3          |         1        |       5000       |
|---------------------|------------------|------------------|

The result of this measure should be: 10.000 because the house_id 1 version 1 is ignored as there's another version higher.

By House_id the result should be:

|---------------------|------------------|
|      House_Id       |     Value        |
|---------------------|------------------|
|          1          |       2000       |
|---------------------|------------------|
|          1          |       3000       |
|---------------------|------------------|
|          2          |       5000       |
|---------------------|------------------|

Can anyone help me?

EDIT:

Given the correct answer @RADO gave, now I want to further enhance this measure:

Now, my main Data table in reality has more columns. What if I want to add this measure to a table visual that splits the measure by another column from (or related to) the Data table.

For example (simplified data table):

|---------------------|------------------|------------------|------------------|
|      House_Id       |     Version_Id   |     Color_Id     |       Value      |
|---------------------|------------------|------------------|------------------|
|          1          |         1        |    1 (Green)     |       1000       |
|---------------------|------------------|------------------|------------------|
|          1          |         2        |    2 (Red)       |       2000       |
|---------------------|------------------|------------------|------------------|
|          2          |         1        |    1 (Green)     |       3000       |
|---------------------|------------------|------------------|------------------|
|          3          |         1        |    1 (Green)     |       5000       |
|---------------------|------------------|------------------|------------------|

There's a Color_Id in the main table that is connected to a Color table. Then I add a visual table with ColorName (from the ColorTable) and the measure (ColorId 1 is Green, 2 is Red).

With the given answer the result is wrong when filtered by ColorName. Although the Total row is indeed correct:

|---------------------|------------------|
|      ColorName      |      Value       |
|---------------------|------------------|
|        Green        |       9000       |
|---------------------|------------------|
|        Red          |       2000       |
|---------------------|------------------|
|        Total        |       10000      |
|---------------------|------------------|

This result is wrong per ColorName as 9000 + 2000 is 11000 and not 10000. The measure should ignore the rows with an old version. In the example before this is the row for House_Id 1 and Color_Id Green because the version is old (there's a newer version for that House_Id).

So:

How can I address this situation?
What If I want to filter by another column from (or related to) the Data table such as Location_Id? It is posible to define the measure in such a way that could work for any given number splits for columns in the main Data table?

回答1:

I use "Data" as a name of your table.

Sum of Latest Values =
VAR Latest_Versions =
    SUMMARIZE ( Data, Data[House_id], "Latest_Version", MAX ( Data[Version_Id] ) )

VAR Latest_Values =
    TREATAS ( Latest_Versions, Data[House_id], Data[Version_Id] )

VAR Result =
    CALCULATE ( SUM ( Data[Value] ), Latest_Values )

RETURN Result

Measure output:

How it works:

We calculate a virtual table of house_ids and their max versions, and store it in a variable "Latest_Versions"
We use the table from the first step to filter data for the latest versions only, and establish proper data lineage (https://www.sqlbi.com/articles/understanding-data-lineage-in-dax/)
We calculate the sum of latest values by filtering data for the latest values only.

You can learn more about this pattern here: https://www.sqlbi.com/articles/propagate-filters-using-treatas-in-dax/

来源：https://stackoverflow.com/questions/61390142/sum-where-version-is-highest-by-another-variable-no-max-version-in-the-whole-da

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