Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
arkiboys2
Helper IV
Helper IV

microsoft fabric dataflow - delta

Hello,

in the current ADF dataflow, I use a delta sink with alter row to upsert if or delete if or insert if

is there a similar functionality in fabric dataflow?

thank you

1 ACCEPTED SOLUTION
FabianSchut
Solution Sage
Solution Sage

Hi, currently there is no such functionality in DataFlow Gen2. You could use an append to write data incrementally to the destination and write your own Python or SQL-script to handle changes in the data.

View solution in original post

3 REPLIES 3
jigneshpatel
Regular Visitor

1) I have marked this topic as new as it was updated last a year back. I want to know if there is any soluton for UPSERT
2) also now dataflow has increamental refresh option. Is that an alternative of upsert? 
3) When we use append with additional implementation to have only new or updated rows from source. The updated rows gets appended as new records in the destination. I want it to be updated not inserted? In this thread solution says to have extra logic in python spark script to handle this issue. Can you give more detail on that? 
4) Can we add any script in the dataflow which will search record in destination and update if found or insert if not found?


Jignesh

arkiboys2
Helper IV
Helper IV

thank you

FabianSchut
Solution Sage
Solution Sage

Hi, currently there is no such functionality in DataFlow Gen2. You could use an append to write data incrementally to the destination and write your own Python or SQL-script to handle changes in the data.

Helpful resources

Announcements
December Fabric Update Carousel

Fabric Monthly Update - December 2025

Check out the December 2025 Fabric Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.