Forum Discussion
Incremental Refresh on a dataset with Dataflows as a data source
Hi Anonymous，
Sorry for delay. There are two ways to configure incremental refresh: one is configure increment refresh in Power BI Desktop (it is available for Pro users) and another is use increment refresh with Power BI dataflows(currently only for Premium users). Currently you are connecting to dataflow as data source in Power BI Desktop, since the original data source is the dataflow, you can just configure increment refresh for the dataflow in Power BI Service.
Best Regards
Rena
Hi Anonymous,
Thanks for your answer. It is absolutely clear to me that I can set up incremental refresh in dataflows. This is what I currently do. So the main benefit of this is that we only refresh the last 14 days of data each morning (approx. 2 million rows of data). This is working well and I'm happy with the feature.
However, our total dataset consists of approximately 70 million rows of data. And each morning, when I'm refreshing my dataset, it will refresh all of these 70 million rows of data. Even when I implement incremental refresh on the dataset, it will still refresh all rows. What I would expect it to do is refresh only the last 14 days of data, so that it only has to refresh 500 MB of data, instead of the entire ~7 GB.
How can I make sure that my dataset will only refresh the part that is refreshed in dataflows (the incremental part)?
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?
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