How does CALUCLATE merge the filter arguments of which one is a table and the other is a column
Hi~Dear PowerBI community I met a scenario that got some results I couldn't explain well, making me doute and confused. I think there must be something wrong in my understanding about how CALCULATE merge the filter arguments. I've done all I can but failed to figure it out. Let me try to show this question, hoping someone would give me some hints. ---- There are two tables : <Dfact> and <Ddim> , and a relationship between them <Dfact> ID SubCategory 1 SC1 2 SC1 3 SC2 4 SC2 5 SC3 6 SC3 <Ddim> Category SubCategory C1 SC1 C1 SC2 C2 SC3 C2 SC4 C3 SC5 I've learned that when a table is transformed in a filter, the filter contains the expanded version of the table. Therefore, the following measure calculates the number of <Ddim> referenced in the <Dfact> table: CALCULATE ( COUNTROWS(Ddim), Dfact) Then I added an additional column filter argument and got the same result: CALCULATE ( COUNTROWS( Ddim ), Dfact, Dfact[SubCategory] = "SC1" ) I was trying to make analyses of the filter context and I knew I could explain it as below: the columns filter used as the second argument is a column not a table, and there's no such a column in the expanded version of <Ddim> table, so the column filter won't filter the <Ddim> table . While the first augument <Dfact> can filter the <Ddim> due to the expanded version of the <Dfact> table. But things got wired while I analyzed it another way with more detail into the merge of the filter arguments. I read The Definitive Guide to DAX and it told me these: The multiple filter arguments of CALCULATE are always merged with a logical AND. CALCULATE merges its filter arguments with an intersection. Given two filter contexts, A and B, the intersection of A and B is computed by adding the filters in A to the filters in B. According to these rules, I analysed it as below: FILTER A (the first augument): Dfact (expanded version containing all the columns of <Ddim>), a table with many columns FILTER B (the second augument): Dfact[SubCategory]="SC1" or FILTER(ALL(Dfact[SubCategory]), Dfact[SubCategory] = "SC1"), a table with only one column If I add filters B to filters A, I will get the result filter C as below, is it right? If I were right, the first argument of CALCULATE should be calculated in this new filter context and get a result as 1( only one row contains "SC1" in <Ddim>), which is completely different from the previous result as 3 . So there must be something wrong in my understanding about how CALCULATE merge the filter arguments, even worse about what the filter really is. I tried some tests and got these results The result of test1 is the table <Dfact> with only "SC1" in the rows, identical to the analysis by merge filter argument above. The result of test2 is the table <Ddim> with the subcategories referenced in the <Dfact> table, identical to the analysis by the expanded talbe and filter propagation. The result of test3 shows the number of rows of <Dfact> and <Ddim> in the exactly identical filter context. I thought CALCULATE creates the new filter context before caluclates the first argument, but the result of test3 confused me more, wandering are there two filter contexts affecting the two COUNTROWS respectively ? Furthermore, I checked the SE queries, there was "[SubCategory] = 'SC1' " in the WHERE statement of the xmSQL of test1, whereas in the xmSQL of test2, "[SubCategory] = 'SC1' " is totally discarded in the 3 SE queries. I can't get more useful information in the SE query, cause I knew few about it. I got stuck here. Please give me some helps.
help with DAX formula - filter propagation - simple usecase
Hello everyone, I am trying to understand filter propagation, therefore I create simple schema a data my goal is write 2 measures (one for Male and for Female) that count number of M/F per each city, I tried count_m = CALCULATE(COUNT(Users[Gender]),Users[Gender]="M") count_f = CALCULATE(COUNT(Users[Gender]),Users[Gender]="F") and got incorrect result (Rio de Janeiro should be 0 for both) so my 2 questions are 1) what s correct DAX formula (without adjusting data model!) 2) why filter context is not propagated to fact table from both dimensions when there are paired values? , thanks for help
