- I avoid bidirectional filtering in standard star schema models like Customer → Sales.
- It can create circular filter paths when multiple dimensions connect to the same fact.
- In one report, totals doubled because Product and Date filtered each other indirectly.
- It also slows performance since Power BI evaluates more filter combinations.
- Measures like DISTINCTCOUNT become unreliable due to unintended context propagation.
- Security rules (RLS) may leak data because filters travel in unexpected directions.
- Large datasets suffer longer refresh and visual load times.
- Instead, I keep single direction and use DAX measures when cross filtering is needed.
- I only enable bidirectional in controlled bridge-table many-to-many scenarios.
When should bidirectional filtering be avoided?
Updated on February 19, 2026
< 1 min read