Forum Discussion
Does Dataflow evaluation stop after 10 minutes?
- Anonymous5 years ago
I created a Support ticket. I got the response I got from Microsoft is as follows:
The authoring limit on Power Query Online is 10 minutes per query. This is the reason for evaluation cancellation error during dataflow creation. We cannot increase or decrease this timeout value. Please note that there is no such timeout value for Power BI Desktop. Reference Document: Power Query Online Usage Limits | Microsoft Docs
You can consider optimizing the query or breaking the query into two to ensure that it takes less than 10 minutes each to execute. If in case, there is no way we can optimize this query. Then the only option left is to use Power BI Desktop instead of Power Query Online (dataflows)."
Hi Anonymous Anonymous ,
Please create support ticket .
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
I created a Support ticket. I got the response I got from Microsoft is as follows:
The authoring limit on Power Query Online is 10 minutes per query. This is the reason for evaluation cancellation error during dataflow creation. We cannot increase or decrease this timeout value. Please note that there is no such timeout value for Power BI Desktop. Reference Document: Power Query Online Usage Limits | Microsoft Docs
You can consider optimizing the query or breaking the query into two to ensure that it takes less than 10 minutes each to execute. If in case, there is no way we can optimize this query. Then the only option left is to use Power BI Desktop instead of Power Query Online (dataflows)."
- Anonymous4 years agoNot applicable
I'm sorry but this isn't a solution.
It's just acknowledging a limitation of the product.
- Anonymous4 years agoNot applicable
well thank you for the answer but now I'd like someone from MS to explain what's the use case for dataflows then.
- Smaccallum3 years agoNew Member
I added a where clause in the sql statement block to narrow the results. Once the M code showed up, I removed the where clause and canceled the evaluation. Closed dataflow and refreshed. Slow but works like a charm.
- Anonymous2 years agoNot applicable
This solved my problem!!! Great idea, it's incredible that it works.
- reachsarfaraz8 months agoNew Member
This worked for me too. Thanks.
- dbeavon31 year ago
Memorable Member
It isn't just a authoring timeout. There is actually a publishing timeout for GEN2 dataflows that prevents them from being deployed, if they run longer than 10 mins. I think it has the appearance of a bug; and I think they intend to change it in the next one or two years.
This timeout is easy to bypass in semantic models and GEN1 dataflows.
https://learn.microsoft.com/en-us/fabric/data-factory/data-factory-limitations#data-factory-dataflow...
Data Factory Dataflow Gen2 limitations
"After you save/publish your dataflow gen2 we require the validation/publish process to finish within 10 minutes per query. If you exceed this 10 minute limit try to simplify your queries or split your queries in dataflow gen2."