Root path of the dataset AllTimeData does not exist

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tasosventouris
tasosventouris Registered Posts: 15 ✭✭✭

Suddenly, while everything was working find, I started getting the following error when I create a new CSV dataset under managed_datasets

Root path does not exist

Error while connecting to dataset MOBILEAPPSRATINGSANALYTICS.AllTimeData, caused by: DataStoreIOException: Root path of the dataset AllTimeData does not exist

I checked the server and the folder there hasn't been created for the dataset AllTimeData. When I got to the Connections settings, everything looks fine. Also when I open the Dataset and go to Settings tab and then click on Test I get " Connection to data source succeeded".

I cannot build the datasets any more. Old datasets work fine.

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Answers

  • Catalina
    Catalina Dataiker, Dataiku DSS Core Designer, Registered Posts: 135 Dataiker
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    Can you try to perform a Force recursive rebuild to ensure the dataset and the dependencies are build?

    6n8Xj5eFmibx6NRfJo4RLd7RdmpLASCB0Q.png

  • tasosventouris
    tasosventouris Registered Posts: 15 ✭✭✭
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    Sorry for not mentioning it. But I tried it and I get an error again. I get a different error, but I think it's the same reason.

    I have a few hundreds of those lines in the logs

    [INFO] [dku.flow.compute.prune] - * compute_AllTimeData_NP: Checking compute_AllTimeData_NP

    And then, in the end

    Call failed
    java.lang.StackOverflowError

  • Catalina
    Catalina Dataiker, Dataiku DSS Core Designer, Registered Posts: 135 Dataiker
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    The "StackOverflowError" means that your flow contains a loop. DSS does not support having cycles in the flow when doing a recursive build. With recursive builds, DSS compute the dependencies (inputs and outputs) of the recipes to determine which datasets must be rebuilt. Once the dependencies have been checked the recursive build is executed. If there is a loop in your flow, then the error message StackOverflowError will be thrown. To resolve this issue it is recommended to remove the loop from your flow.

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