Power BI直连模式下DAX度量值创建：实现指定SQL求和逻辑

Absolutely! You can absolutely build this DAX measure to match your SQL query, and since your data model already has all the table relationships configured, most of the "join" work is already handled automatically by Power BI/DAX's relationship engine.

Here's the DAX Measure you can use: #

Sum_Value_XPTO = 
CALCULATE(
    SUM(A[VALUE]),
    -- Filter equivalent to WHERE A_2 = "XPTO"
    A_2[TargetColumn] = "XPTO", -- Replace "TargetColumn" with the actual column in A_2 you're filtering
    -- Filter equivalent to WHERE D <> 2
    D[TargetDColumn] <> 2, -- Replace "TargetDColumn" with the actual column in D you're filtering
    -- DAX automatically uses your pre-configured table relationships instead of explicit JOINs
)

Let's break down how this aligns with your SQL: #

1. SUM(A[VALUE]): This directly mirrors your SELECT SUM(VALUE) clause, calculating the total of the VALUE column from table A.
2. CALCULATE: This is DAX's core function for adjusting filter context. It applies our specified filters to the base sum calculation, just like your WHERE clause and INNER JOIN logic (since SQL joins effectively filter rows that match across linked tables).
3. The Filter Arguments:
   • A_2[TargetColumn] = "XPTO": Replicates the WHERE A_2 = "XPTO" condition. Make sure to swap TargetColumn with the actual column name in table A_2 that holds the "XPTO" value (your SQL uses shorthand here, so you'll need to specify the exact column).
   • D[TargetDColumn] <> 2: Matches the WHERE D <> 2 condition. Replace TargetDColumn with the specific column in table D you're filtering against.
4. Automatic Relationship Traversal: Since your model already has all required inner join relationships set up (A ↔ B ↔ C ↔ D ↔ E ↔ F ↔ G, plus C ↔ A_2), DAX will automatically follow these links to apply filters from A_2 and D to the relevant rows in table A—no need to write explicit joins like in SQL.

Troubleshooting Tips if you run into issues: #

• Double-check that your table relationships are set to single direction (default and usually sufficient) and that cardinality is correctly defined (e.g., one-to-many between parent/child tables).
• Confirm the column names in your filters are exact—DAX is case-insensitive but requires precise matches.
• If results are unexpected, verify you're targeting the right table/column (for example, if D <> 2 refers to D's ID column, use D[ID] <> 2).

内容的提问来源于stack exchange，提问作者Diogo Vaz