Forum Discussion
How to fix Circular reference in Data Relationship
- 1 year ago
All I figured this out, it had to do with setting up the relationships as Single instead of Both, which caused the amiguous error.
Basically, I have a top table called Team, I connected this as a single connection to the "child tables" based off a key (some of the fields in the child tables were also used in slicers) and this fixed the issue, so have to be careful with "both"
Understand the Circular Dependency:
A circular dependency occurs when two or more tables are interdependent, creating a loop that Power BI cannot resolve.
Review Your Relationships:
Check the relationships between SprintDates, table1, and table2. Ensure that there are no indirect relationships causing the circular dependency.
Break the Circular Dependency:
One way to break the circular dependency is to use a bridge table. This table will act as an intermediary to connect your tables without creating a loop.
Create a Bridge Table:
Create a new table (e.g., BridgeTable) that contains unique values of the Sprint column.
Establish relationships between BridgeTable and the other tables (SprintDates, table1, and table2).
Modify Relationships:
Set up the relationships as follows:
BridgeTable[Sprint] to SprintDates[Sprint]
BridgeTable[Sprint] to table1[Sprint]
BridgeTable[Sprint] to table2[SprintRelated]
Ensure that the cross-filter direction is set to single for these relationships to avoid circular dependencies.
Adjust Your Slicer:
Use the Sprint column from the BridgeTable in your slicer. This way, the slicer will filter all related tables without causing a circular dependency.
Here’s a simplified example of how you can create and use a bridge table in DAX:
BridgeTable = DISTINCT(UNION(SELECTCOLUMNS(SprintDates, "Sprint", SprintDates[Sprint]), SELECTCOLUMNS(table1, "Sprint", table1[Sprint])))
Best Regards
Saud Ansari
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So there is no relationship between SprintDates and Table1 ?
I created the Bridge Table in PowerQuery, but duplicating the SprintDates table and removing the columns not needed.