Jupyter Server Synchronizer

A server extension that synchronizes all managers in a running Jupyter Server.

This is particularly useful for Jupyter Servers running remote kernels and contents.

Basic usage

Install and enable the extension:

pip install jupyter_server_synchronizer

jupyter server extension enable jupyter_server_synchronizer

When you start a Jupyter Server, it synchronize all managers before the Web application is started.

jupyter server

To synchronize periodically, enable the auto-synchronizing feature using the autosync config option. For example,

jupyter server --SynchronizerExtension.autosync=True

Otherwise, you can trigger the synchronization making a POST request to the /api/sync endpoint.

Example

Below is a example of running the synchronizer with Jupyter Server talking to a Jupyter Kernel Gateway as its "remote" kernel service provider.

First, start the Kernel Gateway. You'll need to enable the list_kernels method. In the example, we are assuming the Kernel Gateway is not multi-tenant; i.e. there is a single KG for a single Jupyter Server. We'll set the port to 9999 to free up 8888 for our Jupyter Server.

jupyter kernelgateway \
    --port 9999 \
    --JupyterWebsocketPersonality.list_kernels=True

Second, start the Jupyter Server and point it at the Kernel Gateway. Note that we set a database_filepath trait in both the SessionManager and SynchronizerExtension (these paths don't need to be the same). The Synchronize relies on saving/storing of information about Jupyter kernels and sessions in a persistent database. This information is necessary to rehydrate and synchronize.

We'll enable the "autosync" feature to periodically synchronize the server.

jupyter lab \
    --gateway-url=http://127.0.0.1:9999 \
    --SessionManager.database_filepath=jupyter-database.db \
    --SynchronizerExtension.database_filepath=jupyter-database.db \
    --SynchronizerExtension.autosync=True \
    --SynchronizerExtension.log_level=DEBUG

Now, let's kill that server:

kill -9 $(echo $(pgrep -lf jupyter-lab) | awk '{print $1;}')

And restart it to see if the kernels rehydrate and begin synchronizing again.

jupyter lab \
    --gateway-url=http://127.0.0.1:9999 \
    --SessionManager.database_filepath=jupyter-database.db \
    --SynchronizerExtension.database_filepath=jupyter-database.db \
    --SynchronizerExtension.autosync=True \
    --SynchronizerExtension.log_level=DEBUG