Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.
Hi,
I have a power bi desktop custom connector, that use Web.content(url) call to get data from a server
the data is huge, and one of the column is datetime filed (updated_at).
the url can contains Filter option, and I can ask the server to "get only data with updated_at after X and before Y"
I'v created a query with this connector (Get Data -> Connector -> Load)
I wish to use incremented refresh mechanism to get only recent updated_at data on each day
I read about incremented refresh and didn't understand (how to / if I can) use RangeStart and RangeEnd parameters in my connector - so it can sent to the server only this time range
and by using this mechanism (how / if) it collect the data in power bi, and not overwrite the same query over and over again
please help
Thanks,
Thanks for the relpy, but this not answering on how am I using those parameters in the connector code
how a parameter "RangeStart" in the connector relate to the parameter "RangeStart" in the Parameter Manement in power bi?
Hi @LiranRom ,
If you want to configure incremental refresh, there are two requirements:
1. the datasource has datetime type field
2. the datasource support query folding
For how to create RangeStart and RangeEnd parameters, please refer: Configure incremental refresh and real-time data for Power BI datasets - Power BI | Microsoft Learn
For more details, you can read related document: Incremental refresh for datasets and real-time data in Power BI - Power BI | Microsoft Learn , Query folding guidance in Power BI Desktop - Power BI | Microsoft Learn , Query folding - Power Query | Microsoft Learn
Best regards,
Community Support Team_Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Check out the November 2023 Power BI update to learn about new features.
Read the latest Fabric Community announcements, including updates on Power BI, Synapse, Data Factory and Data Activator.