Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/5034#issuecomment-82711459
One other comment. It seems like we should not fail when we can't read the
schema but instead fall back on using the schema that comes from parquet. We
always want to be able to access the data, even if we are missing spark sql
specific metadata.
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