you can work with 7z files in Databricks using the following methods:

1. Using External Libraries:

   • PySpark: You can use the py7zr library within a PySpark notebook to extract 7z files. This library provides functions to read and decompress 7z archives.
   • Command Line: If you have access to the underlying Databricks cluster’s command line, you can install the p7zip utility and use it to extract 7z files.

2. Mounting External Storage:

   • Mount a cloud storage service (e.g., Azure Blob Storage, AWS S3) that has the 7z file.
   • Use external tools or libraries within Databricks to extract the 7z file on the mounted storage.

Example using py7zr (PySpark):

from py7zr import SevenZipFile

with SevenZipFile('/path/to/your/file.7z', mode='r') as z:
    z.extractall('/path/to/extract/')

Important Considerations:

• Cluster Configuration: Ensure that the necessary libraries (py7zr or p7zip) are installed on your Databricks cluster.
• Performance: Extracting large 7z files can be resource-intensive. Consider the size of your files and the cluster’s capabilities.
• Security: If you’re working with sensitive data, take appropriate measures to secure your 7z files and the extraction process.