Forum Discussion
Incremental Refresh takes almost same time as Full refresh in PBI Service
Hello all,
I have almost 4 GB dataset and I have Incremental Refresh on the Sales fact table as below:
Incremental refresh is taking almost 50-55 minutes and the normal refresh was taking 60-65 minutes. Can someone help me in knowing how to tackle the issue?
Data Connectivity is Import and database is Azure Synapse. And Power BI dataset is used.
Use SSMS or DAX Studio to check how many partitions that table has
- Prachi02022 years agoFrequent Visitor
I am trying the Incremental refresh now with the XMLA end-point and the partitions I can see are as below for now
As the incremental is on UpdateDate, is the reason all 2022 records count is in 2023.
Lets us see how much time this XMLA method takes. But need to understand has anyone used this method for Incremental Refresh and how you find it working?
Is it helpful in resolving the long time refresh with the Incrementsl refresh?
Regards,Prachi
- lbendlin2 years ago
Super User
You cannot use UpdateDate for incremental refresh, that will lead to data duplicates. Use something immutable like CreatedDate.
- Prachi02022 years agoFrequent Visitor
Update date is the date when data is loaded from source to the destination so I think its same a the created date, and we have Incremental Refresh set just for a day.