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Satya2804
Frequent Visitor

Avoid circular dependency error by using previous

Below is a sample data - first 3 columns are my inputs. Total Supply, Match and Long are my calculated columns. 

 

Total Supply = Current Quarter Supply + Previous quarter Long. Example Total Supply Q2 = 38 + 6 = 44

Match = Min(Outlook, Total Supply). Example Match Q2 = Min (41, 44) = 41

Long = Total Supply - Match. Example Long Q2 = 44-41 = 3

 

PowerBI gives a circular dependency error but Total Supply is actually using previous quarter Long and not current quarter long, so logically it is not circular. 

 

Can anyone help replicate the measures in PowerBI?

 

QuarterSupplyOutlookTotal SupplyMatchLong
Q1312531256
Q2384144413
Q34222452223
Q44522682246
1 ACCEPTED SOLUTION
v-shex-msft
Community Support
Community Support

HI @Satya2804,

I'd like to suggest you repalce these calculated columns to measure formulas with these calculations.

When you use calculated column to loop refence between different columns, they may case the circular dependency due to the conflict of internal relationships mapping and references.

You can look at the following blog to know more about this issue:

Avoiding circular dependency errors in DAX - SQLBI

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.

View solution in original post

1 REPLY 1
v-shex-msft
Community Support
Community Support

HI @Satya2804,

I'd like to suggest you repalce these calculated columns to measure formulas with these calculations.

When you use calculated column to loop refence between different columns, they may case the circular dependency due to the conflict of internal relationships mapping and references.

You can look at the following blog to know more about this issue:

Avoiding circular dependency errors in DAX - SQLBI

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.

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