Github user zhongneu commented on the pull request:
https://github.com/apache/incubator-zeppelin/pull/754#issuecomment-190604656
@echarles Thanks, Eric! It is good to know we have such cases. We should
definitely leave it as configurable if Spark doesn't provide informative error
message. I am not sure, but probably in older versions of Spark, there may be
more such cases.
Just curious, what kind of queries can result in such exception?
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