Can I revert back to the old version of a dataset and retrieve the lost rows?
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:
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.
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.
I don't see the dataset history option.
Hey @lemon76, From your data set you need to go to history and find the version of the dataset which you want, once you find it hover over it and click on the wrench icon which pops up. Then all you have to do is select revert to this point.
Where do I find the dataset history? I am not able to find that. Is it an access issue? I have admin access.
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.
