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Troubleshooting

Written by
Yandex Cloud
Updated at May 6, 2024

Errors occurring in DataSphere projects may require you to reset the installed packages and computations or to change project settings. For most of these tasks, you will need a role no lower than datasphere.community-projects.developer. To resize the project storage, you need a role no lower than datasphere.community-projects.editor.

The following actions might help if you are unable to enter a project:

  1. Select the relevant project in your community or on the DataSphere homepage in the Recent projects tab.

  2. Click More.
  3. Click Troubleshooting in the list that opens and select the required task:
    • Factory reset: Resetting the interpreter state and deleting all installed libraries. Notebook codes, cell outputs, and all project resources will be saved. Helps when incorrect libraries are installed or the storage is full.
    • Reset JupyterLab workspace: Closing all open files and notebooks. Incorrect files and notebooks may prevent JupyterLab from working properly.
    • Clear output: Clearing all cell outputs of open notebooks. Excessive cell output may prevent JupyterLab from working properly and slow down the browser.
    • Change project storage size: Resizing the project storage. The project will be stopped. This will fix the errors caused by full storage.
    • Stop JupyterLab and VM: Stopping all computations, closing open notebooks and shutting down the VM. Helps when the project gets stuck for unknown reasons, or if you need to stop running calculations.

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