Reverting Back to the old dataset version
Best Answers
-
Here are the click steps for a dataflow dataset:
Locate the dataset you want and click it.
And here are the click steps for a non-dataflow dataset:
Locate the dataset you want and click it.
If I solved your problem, please select "yes" above
0 -
This only works if the dataset isn't the output from a dataflow, irrespective of recursion. So basically you can retrieve lost data via the history tab on any raw connector from the appstore, jupyter connectors, workbench connectors, etc.
Also, restoring a dataflow to a previous version and re-running the dataflow only restores lost data if the data loss was a result of the code change and the datasets powering the dataflow had not run/updated since the data loss.
1
Answers
-
Yes if you click on the three dots in the dataset history on the version you want to revert to you can find the option.
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**0 -
I don't see the dataset history option.
0 -
Where do I find the dataset history? I am not able to find that. Is it an access issue? I have admin access.
0 -
Here are the click steps for a dataflow dataset:
Locate the dataset you want and click it.
And here are the click steps for a non-dataflow dataset:
Locate the dataset you want and click it.
If I solved your problem, please select "yes" above
0 -
Just a side note, this only works if the dataset is not recursive. If you had a recursive dataset you can't bring back those rows with the 3 dots. You would have to use another data recovery method to restore them.
**If this answer solved your problem be sure to like it and accept it as a solution!
0 -
This only works if the dataset isn't the output from a dataflow, irrespective of recursion. So basically you can retrieve lost data via the history tab on any raw connector from the appstore, jupyter connectors, workbench connectors, etc.
Also, restoring a dataflow to a previous version and re-running the dataflow only restores lost data if the data loss was a result of the code change and the datasets powering the dataflow had not run/updated since the data loss.
1
Categories
- All Categories
- 1.5K Product Ideas
- 1.5K Ideas Exchange
- 1.4K Connect
- 1.1K Connectors
- 280 Workbench
- 4 Cloud Amplifier
- 4 Federated
- 2.7K Transform
- 90 SQL DataFlows
- 563 Datasets
- 2K Magic ETL
- 3.4K Visualize
- 2.3K Charting
- 592 Beast Mode
- 13 App Studio
- 28 Variables
- 588 Automate
- 143 Apps
- 417 APIs & Domo Developer
- 27 Workflows
- 1 DomoAI
- 28 Predict
- 12 Jupyter Workspaces
- 16 R & Python Tiles
- 361 Distribute
- 99 Domo Everywhere
- 260 Scheduled Reports
- 2 Software Integrations
- 94 Manage
- 91 Governance & Security
- 9 Product Releases
- Community Forums
- 37 Getting Started
- 28 Community Member Introductions
- 90 Community Announcements
- 4.8K Archive