Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/6645#issuecomment-109637279
Yeah, that's a problem then. The conversion to floating-point could be
lossy as your test case indicates. I don't know that this is the fix though,
since it has non-trivial side effects. Converting to a decimal type seems
wrong. But is this specific to Hive on Spark?
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