Forum Discussion
Incremental Refresh on a dataset with Dataflows as a data source
Hi Anonymous ,
According to the official documentation, it is recommend to use data sources which support query folding when configure increment refresh. Otherwise, it may execute the complete refresh... You can check the following sentences:
Query folding
It's important the partition filters are pushed to the source system when queries are submitted for refresh operations. To push filtering down means the datasource should support query folding. Most data sources that support SQL queries support query folding. However, data sources like flat files, blobs, and web feeds typically do not. In cases where the filter is not supported by the datasource back-end, it cannot be pushed down. In such cases, the mashup engine compensates and applies the filter locally, which may require retrieving the full dataset from the data source. This can cause incremental refresh to be very slow, and the process can run out of resources either in the Power BI service or in the on-premises data gateway if used.
So please check if the original data sources using in dataflow support query folding or not. You can refer this video to check it.
In addition, hope the following documenations can help you.
Power BI Incremental Refresh and Query Folding
Power BI - Checking Query Folding with View Native Query
Best Regards
Rena
Hi Anonymous ,
Thanks again for your answer.
I do want to emphasize that I'm not trying to set up incremental refresh in Dataflows. I already got that working. I'm trying to set up incremental refresh in the dataset that connects to dataflows. So, because dataflows is the source, the question is if dataflows supports query folding. Does it?
Anonymous How is the underlying data source relevant? I'm connecting to Dataflows. The dataset doesn't care where I get the data from before that point, does it?
The question is, when I'm refreshing my dataset, do the queries it sends to dataflows get folded and is Incremental Refresh possible in this case? Or will it always load in the entire dataflow?
We have the very same question (dataset incremental refresh using dataflows as source, regardless of how the dataflow itself gets its data).
Has this been answered?
The simple answer is NO.
Many have tried workarounds, but nothing official from @microsoft.
Hi Anonymous ,
Yes, please check whether the underlying data source used in the dataflow support query folding or not. For the data sources that do not support query folding, you can set incremental refresh, but it may retrieve the entire data anyways.
Best Regards
Rena
pat_mecee Have you tested this? I ran a test and it seemed to work, but I did not proceed (my responsibility is just to create the dataflow sources and I do not use PBI Desktop or datasets much).
It would be nice to have official communication here.
"Dataflow incremental refresh and dataset incremental refresh are designed to work in tandem. It's acceptable and supported to have an incrementally refreshing entity in a dataflow, fully loaded into a dataset, or a fully loaded entity in a dataflow incrementally loaded to a dataset.
Both approaches work according to your specified definitions in the refresh settings."
