You can't create a direct active relationship between 2 tables, it will introduce ambiguity

[pc1050414]

Dear PowerBI users,

I want to build a relationship between 2 tables 'ww_rt_willow_environment' and 'vw_willow_product_feature_adaptiq_setup_duration', use column 'willow_environment' to build it.

Everything is fine for other tables, only this table reports error as below, you can see another table is okay.

I am very confused that there is no relationship between table ww_rt_willow_environment and vw_willow_product_feature_vpa_toggle_daily_status actually actually, how does it cause ambiguity?

[pc1050414]

I think this is an internal issue of PowerBI, as I delete the all relationships of current table vw_willow_product_feature_adaptiq_setup_duration, and then re-create relationship successfully.
For similar question in PowerBI, if you can not detect root cause(there is no obviously relationship among 2 tables columns, which PowerBI reports error above), I suggest users to delete all relastionships of current table, then recreate them.

You can see model is fine, and I did not update anything, just delete and re-create.

[123abc]

It seems like you're dealing with a Power BI modeling issue, and the error message you're encountering is related to potential ambiguity in relationships between tables. In Power BI, you cannot create a direct active relationship between two tables that would introduce ambiguity. Ambiguity arises when Power BI is unable to determine which relationship to follow when querying the data.

In your case, you're trying to establish a relationship between the 'ww_rt_willow_environment' and 'vw_willow_product_feature_adaptiq_setup_duration' tables using the 'willow_environment' column. The error message you're receiving likely indicates that Power BI has identified a potential ambiguity issue with this relationship.

To resolve this issue, you can consider the following steps:

1. Review existing relationships: Check if there are any existing relationships between these tables or if there are indirect relationships that may cause ambiguity. Make sure that there are no circular relationships that could confuse Power BI.

2. Renaming columns: Consider renaming columns in one or both of the tables to provide clearer, unambiguous names for the relationship. This can help Power BI differentiate between relationships.

3. Use calculated columns or measures: In some cases, you can create calculated columns or measures to help resolve ambiguity. These can provide explicit instructions on how to navigate the relationships.

4. Adjusting relationship paths: If necessary, you may need to create additional tables or adjust the relationship paths in your data model to avoid ambiguity. This might involve introducing bridge tables, which can serve as intermediaries between the tables with ambiguous relationships.

5. Check for data issues: Ensure that your data is clean and that there are no duplicate values in the 'willow_environment' column that could lead to ambiguity.

6. Consider using bidirectional filtering: In some cases, you can use bidirectional filtering in relationships to allow filtering in both directions, which can be helpful in certain scenarios.

By addressing these points, you should be able to resolve the ambiguity issue and establish a proper relationship between the two tables in Power BI. Always remember that clear and unambiguous relationships are crucial for accurate data analysis and visualization in Power BI.

If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.

[pc1050414]

Dear 123abc,

I solved this issue after delete and re-create them.

Thanks for your quick reply

[123abc]

If my replay or this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.