Schedule a managed notebooks run

Create a managed notebooks instance and example notebook file

1. Create a managed notebooks instance .

2. Open JupyterLab .

3. Open a new notebook file .

4. In the first cell of the notebook file, enter the following:

    # Import datetime 
    import 
     
    datetime 
    # Get the time and print it 
    datetime 
    . 
    datetime 
    . 
    now 
    () 
    print 
    ( 
    datetime 
    . 
    datetime 
    . 
    now 
    ()) 
   

5. To make sure your notebook file is saved, select File  > Save Notebook.

Schedule a run

1. In the Google Cloud console, go to the Managed notebookspage.

   Go to Managed notebooks

2. Next to the managed notebooks instance that you want to use, click Open JupyterLab.

   Your managed notebooks instance opens JupyterLab.

3. In the folder File Browser, double-click the example notebook file to open it.

4. Click the Executebutton.

5. In the Submit notebooks to Executordialog, in the Typefield, select Schedule-based recurring executions.

   By default, the executor runs your notebook file every hour at the 00 minute of the hour.

6. In Advanced options, select the Regionwhere you want to run your notebook.

7. In the Cloud Storage bucketfield, enter a name for your bucket, and then click Create and select. The executor stores your notebook output in the Cloud Storage bucket.

8. Click Submit.

   Your notebook file runs automatically on the schedule that you set.

When you finish the tasks that are described in this document, you can avoid continued billing by deleting the resources that you created. For more information, see Clean up .

View, share, and import an executed notebook file

By using your managed notebooks instance's JupyterLab interface, you can view your notebook output, share the results with others, and import the executed notebook file into JupyterLab.

View the execution results

1. In JupyterLab's navigation menu, click the Notebook Executorbutton.

2. Click the Executionstab.

3. Under the execution that you want to view, click View result.

   Executor opens your result in a new browser tab.

Share the execution results

1. In your managed notebooks instance's JupyterLab user interface, in the navigation menu, click the Notebook Executorbutton.

2. Click the Executionstab.

3. Next to the execution that you want to share, click the more_vert  options menu, and select Share execution result.

4. Follow the directions in the dialog to grant users access to the execution result.

Import the executed notebook into JupyterLab

1. In your managed notebooks instance's JupyterLab user interface, in the navigation menu, click the Notebook Executorbutton.

2. Click the Executionstab.

3. Next to the execution that you want to import, click the more_vert  options menu, and select Import executed notebook.

4. If the Select Kerneldialog appears, select the kernel that you want to open the notebook.

   The executor opens the executed notebook file in JupyterLab, and stores this notebook file in the JupyterLab File Browser in a folder named imported_notebook_jobs.

View or delete a schedule

You can view and delete schedules by using either the Google Cloud console or your managed notebooks instance's JupyterLab user interface.

View a schedule

View a schedule to see the frequency settings of the schedule or to view the five most recent results of the notebook file execution.

Delete a schedule

Deleting a schedule doesn't delete the executions that were generated from that schedule.