Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9226#issuecomment-151017266
Had a discussion with @liancheng and @cloud-fan. We think this fix is
better than #9251. When a data source table is partitioned, we will not save
data in a Hive-compatible way. So, let's make sure we can read data back.
Later, when we want to save partitioned data in a hive compatible way, we can
discuss the right way for that in that JIRA (we may want to add a flag for it
since the saved metadata may be quite different).
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