Github user budde commented on the issue:
https://github.com/apache/spark/pull/16944
I'm looking into it. I would suspect altering the schema outside of Spark
combined with using a Spark-managed metastore rather than an external metastore
may be hitting some sort of edge case. I have everything set up locally but
```beeline``` can't seem to find any of the Hive jars so I'll have to look into
that.
It would be possible to make ```NEVER_INFER``` the default option instead
of ```INFER_AND_SAVE``` but this will result in queries that silently break for
any external Hive Metastore table that contains a case-sensitive field name in
its underlying data. I want to identify the particular behavior that's
happening here and see if there's a suitable way to fix it.
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