Forum Discussion
How to undo the changes in Dataflow Gen2
Hi,
I have a dataflow that is published with correct code.
I accidentally made some changes that I want to revert. Everytime I open the dataflow, my recent autosaved changes are shown.
Please let me know how to view the published dataflow, if I don't have any other copy of it in any other environment.
- Anonymous2 years ago
Hi pbijalwan ,
Thanks for using Fabric Community.
It's an auto draft save and there's no ability to discard/undo changes, other than deleting individuals steps or queries where adjustments may have been made.
Docs to refer - How to save and publish your dataflow - Microsoft Fabric | Microsoft Learn
Hope this is helpful. Do let me know incase of further queries.
6 Replies
- AnonymousNot applicable
Hi pbijalwan ,
Thanks for using Fabric Community.
It's an auto draft save and there's no ability to discard/undo changes, other than deleting individuals steps or queries where adjustments may have been made.
Docs to refer - How to save and publish your dataflow - Microsoft Fabric | Microsoft Learn
Hope this is helpful. Do let me know incase of further queries.- AnonymousNot applicable
Hi pbijalwan ,
We haven’t heard from you on the last response and was just checking back to see if your query was answered.
Otherwise, will respond back with the more details and we will try to help .
Thanks- AnonymousNot applicable
Hi pbijalwan ,
We haven’t heard from you on the last response and was just checking back to see if your query was answered.
Otherwise, will respond back with the more details and we will try to help .
Thanks
- pbijalwanFrequent Visitor
Thank you for the confirmation.
- AnonymousNot applicable
Hi pbijalwan ,
Glad to know that you got insights over your query. Please continue using Fabric Community on your further queries.
- SigiriyaNew Member
Hi,
I just faced the same problem and solved that:
- open new window, display list of dataflows, click on elipsys (3 dots) and chose "Export .json"
- import .json as Dataflow generation 1
- export as template
- import template as Dataflow generation 2.
Hope this procedure will work also in future. Good luck 🙂