Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14729
@hvanhovell In the current master branch, if we want to support In-Memory
cataloged tables, we need to support data source tables. You know,
`SimpleCatalogRelation` is converted to `LogicalRelation`. We are unable to
read/write a `SimpleCatalogRelation` if it is not a data source table.
If we plan to support `ANALYZE TABLE` on data source tables in Spark 2.1,
this PR is just a bug fix of Spark 2.0. Should we fix this issue in Spark 2.0.1?
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