Github user travishegner commented on the pull request:

    https://github.com/apache/spark/pull/8780#issuecomment-140913028
  
    Yes, that is the intention. Is this the proper way to address that issue?
    
    On Wed, Sep 16, 2015, 5:14 PM Holden Karau <[email protected]> wrote:
    
    > So I understand, the goal of this patch is that if an invalid value is
    > returned (e.g. a precision or scale <= 0), then the defaults are used yes?
    >
    > —
    > Reply to this email directly or view it on GitHub
    > <https://github.com/apache/spark/pull/8780#issuecomment-140896861>.
    >



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