export notebook

[Avinash_Narala]

Hi,

I want to export notebook in python programming.

is there a way to leverage databricks cli in python.

Or any other way to export the notebook to my local PC.

[Kaniz · Accepted solution]

Hi @Avinash_Narala, Let’s break down the steps for exporting a Databricks Notebook and explore options for leveraging the Databricks CLI in Python.

1. Exporting a Databricks Notebook:

   • Databricks allows you to import and export notebooks in various formats. Here are the supported formats:
     • Source file: A file containing only source code statements (with extensions like .scala, .py, .sql, or .r).
     • HTML: A Databricks notebook with the extension .html.
     • Databricks .dbc archive: A binary format that includes metadata and notebook command outputs.
     • IPython notebook: A Jupyter notebook with the extension .ipynb.
     • RMarkdown: An R Markdown document with the extension .Rmd.
   • To export a notebook:
     • Open the notebook you want to export.
     • Select File > Export in the notebook toolbar.
     • Choose the desired export format (e.g., HTML, IPython notebook, or DBC).
     • Note that if you haven’t cleared the command outputs, they will be included in the export¹.

2. Using Databricks CLI in Python:

   • The Databricks CLI allows you to interact with Databricks workspaces from the command line. You can also use it programmatically in Python.
   • To download files from Databricks to your local machine using the CLI, use the following command:

     databricks fs cp dbfs:/path/to/file /path/on/local/computer
     

     Replace /path/to/file with the path to the file in Databricks and /path/on/local/computer with the l...².

3. Alternative Approach:

   • If you prefer not to use the CLI, you can manually export notebooks from the Databricks workspace:
     • Click Workspace in the sidebar.
     • Right-click the folder containing the notebook you want to export.
     • Select Export and choose the desired format (e.g., DBC Archive, Source File, or HTML Archive).
     • Follow the prompts to save the exported file to your local PC¹.

Remember that these steps allow you to export notebooks and download files. Choose the method that best suits your workflow! 🚀

[Avinash_Narala]

Hi Kaniz,

Is there a way to move notebooks to cloud location.

Like, I want to export notebook from databricks to cloud then to my local PC,

and I the same while importing too, local PC to cloud then from cloud to workspace.

is there a way?

[Kaniz]

Hi @Avinash_Narala, Let’s explore how you can move notebooks between Databricks, your local PC, and cloud storage. I’ll break down the process for both exporting and importing notebooks:

1. Exporting a Notebook to Cloud Storage:

   • To move a notebook from Databricks to cloud storage (such as an object storage service like Amazon S3, Azure Blob Storage, or Google Cloud Storage), follow these steps:
     1. Export the Notebook:
        • Open the notebook you want to export in Databricks.
        • Click on File > Export in the notebook toolbar.
        • Choose the desired format (e.g., DBC, HTML, or IPython notebook).
        • Save the exported file to your local PC.
     2. Upload to Cloud Storage:
        • Upload the exported file (e.g., DBC or HTML) to your preferred cloud storage location (e.g., Amazon S3 bucket, Azure Blob container, or Google Cloud Storage bucket).

2. Importing a Notebook from Cloud Storage to Databricks Workspace:

   • To import a notebook from cloud storage to Databricks, follow these steps:
     1. Upload to Databricks Workspace:
        • In the Databricks workspace, navigate to the folder where you want to import the notebook.
        • Click on Import and choose the appropriate format (e.g., DBC, HTML, or IPython notebook).
        • Select the file from your cloud storage location and upload it.
     2. Open the Imported Notebook:
        • Once uploaded, open the notebook in Databricks and start working on it.

3. Moving Notebooks Between Local PC and Databricks Workspace:

   • To move a notebook between your local PC and Databricks workspace:
     1. Export from Local PC:
        • Export the notebook from your local PC (if you have it saved there) using the same steps mentioned earlier.
     2. Upload to Databricks Workspace:
        • Upload the exported file to the desired folder in Databricks.
     3. Open and Work on the Notebook:
        • Open the notebook in Databricks and continue your work.

Remember to choose the appropriate format (DBC, HTML, etc.) based on your requirements. Whether you’re moving notebooks to or from the cloud, Databricks provides flexibility to manage your notebooks effectively! 🚀