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ybarsabal
Resolver I
Resolver I

Simultaneous Refresh?

Let's say I have a PBI report that uses a dataflow. If the dataflow is currently refreshing (takes 10 minutes), what happens if the PBI report also tries to refresh while the dataflow is refreshing? 

 

Worst case I'm imagining the dataflow only "partially filled" with data so that the PBI report ends up refreshing with only partial data. Best case I'm hoping the dataflow is always completed filled, and the refresh is more of an instantaneous event AFTER the dataflow was already refreshed on the backend.

1 ACCEPTED SOLUTION
nilendraFabric
Super User
Super User

hello @ybarsabal 

 

When a Power BI dataset refresh overlaps with an ongoing dataflow refresh, the dataset will use the last successfully committed version of the dataflow, avoiding partial data scenarios

 

Power BI dataflow refreshes are transactional, meaning changes are committed only if the entire refresh succeeds. If a dataflow refresh fails or is interrupted, no partial data is saved—the dataflow remains in its last stable state. This ensures datasets never reference incomplete or corrupted data.

If this is helpful please accept the answer 

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3 REPLIES 3
nilendraFabric
Super User
Super User

hello @ybarsabal 

 

When a Power BI dataset refresh overlaps with an ongoing dataflow refresh, the dataset will use the last successfully committed version of the dataflow, avoiding partial data scenarios

 

Power BI dataflow refreshes are transactional, meaning changes are committed only if the entire refresh succeeds. If a dataflow refresh fails or is interrupted, no partial data is saved—the dataflow remains in its last stable state. This ensures datasets never reference incomplete or corrupted data.

If this is helpful please accept the answer 

Oh, ok, that's reassuring. Do you know if datasets (semantic models) can partially refresh? Just today I had a dataset that said the refresh was complete, but one of the tables was definitely empty. 

Power BI datasets (semantic models) are designed to refresh atomically, meaning all data updates either fully succeed or fail without partial commits

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