Libify

Libify makes it easy to import notebooks in Databricks. Notebook imports can also be nested to create complex workflows easily. Supports Databricks Runtime Version 5.5 and above.

Typical Usage

After installing the package, add the following code snippets to the notebooks:

1. In the importee notebook (the notebook to be imported), add the following cell at the end of the notebook. Make sure that dbutils.notebook.exit is not used anywhere in the notebook and that the last cell contains exactly the following snippet and nothing else:

   import libify
   libify.exporter(globals())
   

2. In the importer notebook (the notebook that imports other notebooks), first import libify:

   import libify
   

   and then use the following code to import the notebook(s) of your choice:

   mod1 = libify.importer(globals(), '/path/to/importee1')
   mod2 = libify.importer(globals(), '/path/to/importee2')
   

   Everything defined in importee1 and importee2 would now be contained in the namespaces mod1 and mod2 respectively, and can be accessed using the dot notation, e.g.

   x = mod1.function_defined_in_importee1()
   

Databricks Community Cloud Workaround

Databricks Community Cloud (https://community.cloud.databricks.com) does not allow calling one notebook from another notebook, but notebooks can still be imported using the following workaround. However, both of the following steps will have to be run each time a cluster is created/restarted.

1. Run step 1 from above (Typical Usage). Make a note of the output of the last cell (only the part marked below):

2. In the importer notebook, call libify.importer with the config parameter as the dictionary obtained from the previous step:

   import libify
   mod1 = libify.importer(globals(), config={"key": "T5gRAUduh9uSbhHIrj2c9R4UbrXUt2WiA4aYIpl3gGo=", "file": "/tmp/tmpmcoypj24"})