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From mccheah <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-5158] [core] [security] Spark standalon...
Date Tue, 24 Feb 2015 21:43:23 GMT
Github user mccheah commented on the pull request:

    https://github.com/apache/spark/pull/4106#issuecomment-75852773
  
    When @pwendell and I originally discussed the feature, we wanted to design it to be simple
and usable for small dedicated Spark clusters. We also explicitly wanted to avoid the approach
of transferring delegation tokens; every attempt to do so in the past was prone to security
flaws. So in response to these concerns:
    
    (1) With a cluster of ~10 machines, will the credentials blocking still happen? How many
is "many"?
    
    (2) I assumed that the user will be responsible for securely transferring the keytabs
to every machine. I don't think that it is necessarily Spark's responsibility to automatically
transfer the keytabs securely. If the user wants to leverage this, I would think they're already
aware of security measures that need to be taken in transferring keys between hosts. At any
rate we can document this explicitly.
    
    (3) I'm confused here - Spark can't read a keytab if the permissions on the keytab file
deny access. Again, this comes down to configuration - the Spark user should be configured
to be able to access keytabs on a need-to-know basis. And I think the bottom line is that
we should still give this to users and the users have the ultimate responsibility of using
it wisely. If the Spark cluster is a dedicated set of machines, then only the keytabs that
are needed by Spark's work will be on those machines. If they wanted a cluster that uses Spark
alongside other things, then YARN is probably a better solution for them already.


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