Reverting Back to the old dataset version

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lemon76
lemon76 Member
in Magic ETL
Can I revert back to the old version of a dataset and retrieve the lost rows?

Best Answers

  • ColemenWilson
    ColemenWilson Coach
    Answer ✓

    Here are the click steps for a dataflow dataset:

    Screen Shot 2023-11-12 at 1.03.17 PM.png

    Locate the dataset you want and click it.

    Screen Shot 2023-11-12 at 1.04.28 PM.png Screen Shot 2023-11-12 at 1.05.02 PM.png

    And here are the click steps for a non-dataflow dataset:

    Screen Shot 2023-11-12 at 1.03.17 PM.png

    Locate the dataset you want and click it.

    Screen Shot 2023-11-12 at 1.06.55 PM.png

    If I solved your problem, please select "yes" above

  • jessdoe
    jessdoe Contributor
    Answer ✓

    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.

Answers

  • GrantSmith
    GrantSmith Coach

    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.

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    **Did this solve your problem? Accept it as a solution!**
  • lemon76
    lemon76 Member

    I don't see the dataset history option.

  • Zuko
    Zuko Member

    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.

  • lemon76
    lemon76 Member

    Where do I find the dataset history? I am not able to find that. Is it an access issue? I have admin access.

  • ColemenWilson
    ColemenWilson Coach
    Answer ✓

    Here are the click steps for a dataflow dataset:

    Screen Shot 2023-11-12 at 1.03.17 PM.png

    Locate the dataset you want and click it.

    Screen Shot 2023-11-12 at 1.04.28 PM.png Screen Shot 2023-11-12 at 1.05.02 PM.png

    And here are the click steps for a non-dataflow dataset:

    Screen Shot 2023-11-12 at 1.03.17 PM.png

    Locate the dataset you want and click it.

    Screen Shot 2023-11-12 at 1.06.55 PM.png

    If I solved your problem, please select "yes" above

  • Ashleigh
    Ashleigh Coach

    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!

  • jessdoe
    jessdoe Contributor
    Answer ✓

    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.

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