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Dear colleagues,
I have a question and I'm not sure how to solve it. I have two tables and I want one to filter 3 fields at the same time automatically in table 2. The problem is that it only allows one relationship at a time.
I leave the following example in case you can help me.
Table 1
Table 2
Relationship
When putting Active there another relationship appears this problem
I tried to use this Dax formula but doesn't work. I think because doesn't have a relationship
Thank you
Solved! Go to Solution.
you can either create a composite key that concatenates these three fields. or your can use disconnected tables and TREATAS based measures to filter your second table.
Thank you very much. It´s more easy than I thought, I creat that concatenate relationship. Thank you
Hello everyone,
After creating the concatenate function, I now have a problem selecting the PDCA table with the PDCA filter. The percentage calculation formula does not work correctly. Below is an example:
```DAX
ColunaFiltragem Append L1 L2 = 'Append L1 L2'[Description Piece type] & " - " & 'Append L1 L2'[Descrição Defeito] & "-" & 'Append L1 L2'[Model]
The calculation formula is:
```DAX
PDCA 3% = DIVIDE([Reprocesso 1o Fogo], [Entrd. EF 1o Fogo Fixo Geral], 0)
Example 1:
When the PDCA table is filtered:
DAX
Entrd. EF 1o Fogo PDCA = CALCULATE(SUM('Append L1 L2'[Entrd. EF 1o Fogo Coluna]))
Example 2:
I tried with the `CALCULATE` and `ALL` formula, but there is no filtering:
DAX
Entrd. EF 1o Fogo PDCA = CALCULATE(SUM('Append L1 L2'[Entrd. EF 1o Fogo Coluna]), ALL('Append L1 L2'[ColunaFiltragem Append L1 L2]))
The correct value would be:
The problem seems to be with the filtering of the formula `Entrd. EF 1o Fogo PDCA`, but I don't know how to solve the issue to perform the calculation correctly.
you can either create a composite key that concatenates these three fields. or your can use disconnected tables and TREATAS based measures to filter your second table.
Thank you very much. It´s more easy than I thought, I creat that concatenate relationship. Thank you
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