[ZEPPELIN-3004] How to provision different Python and R runtimes per user?

• Type: Wish
• Status: Open
• Priority: Minor
• Resolution: Unresolved
• Affects Version/s: 0.7.3
• Component/s: python-interpreter, r-interpreter
• Assignee: Unassigned
• Reporter: Mariano Gonzalez
• Created: 19/Oct/17 20:45
• Updated: 23/Oct/17 20:21

Description

Currently, I have a Zeppelin box running in a mesos architecture talking to a Cloudera distro of HDFS using YARN, and we have several data scientists that use the Zeppelin box.

However, each data scientist has different needs/preferences regarding Python and R libraries. If I provision the Zeppelin box with a user that has permission to install any arbitrary Python and R library/package at some point the runtime will collide.

I would like to know if there is any best practice that is also scalable (meaning not having to provision a box per data scientist) to handle this situation appropriately.