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  1. Zeppelin
  2. ZEPPELIN-3004

How to provision different Python and R runtimes per user?

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    Details

    • Type: Wish
    • Status: Open
    • Priority: Minor
    • Resolution: Unresolved
    • Affects Version/s: 0.7.3
    • Fix Version/s: None
    • Labels:
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      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.

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            • Assignee:
              Unassigned
              Reporter:
              eschizoid Mariano Gonzalez
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              Dates

              • Created:
                Updated: