DC/OS Data Science Engine does not support in-place upgrades. In order to transition to a new version you must manually back up your data located in your
jupyter_data folder and upload it to a new instance of DC/OS Data Science Engine, running on the latest version using the following guide.
Navigate to the Notebook terminal from Jupyter Notebook UI and run the following command to compress the contents of your jupyter_data folder:
nobody@95602332-7dd1-4a24-b2a5-b0fa028c0998:/mnt/mesos/sandbox$ tar -cvf jupyter_data.tar.gz jupyter_data
Use the Download button to download
Deploy a new instance of DC/OS Data Science Engine, specifying the upgrade version. You may need to tear down your existing DC/OS Data Science Engine instance depending on the available resources in the cluster.
From the new instance’s UI, select the Upload button to transfer
jupyter_data.tar.gzto the sandbox of the new DC/OS Data Science Engine instance.
Then run the following command to uncompress the contents of the archive to the
nobody@e08af121-e9e7-4c0f-8188-23bfead5080a:/mnt/mesos/sandbox$ tar -xvf jupyter_data.tar.gz