Databricks 7z


                      Databricks 7z

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:

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.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



Unogeeks is the No.1 IT Training Institute for Databricks Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on Databricks Training here – Databricks Blogs

Please check out our Best In Class Databricks Training Details here – Databricks Training

 Follow & Connect with us:


For Training inquiries:

Call/Whatsapp: +91 73960 33555

Mail us at:

Our Website ➜

Follow us:





Leave a Reply

Your email address will not be published. Required fields are marked *