Mariano Gonzalez created ZEPPELIN-3004:
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Summary: Provision different Python and R runtimes per user
Key: ZEPPELIN-3004
URL: https://issues.apache.org/jira/browse/ZEPPELIN-3004
Project: Zeppelin
Issue Type: Wish
Components: python-interpreter, r-interpreter
Affects Versions: 0.7.3
Environment: Currently, I have {{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.
Reporter: Mariano Gonzalez
Priority: Minor
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