Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/17277
@gatorsmile I think the behavior of spark SQL should be
1. throw exception for invalid partition values(e.g. empty string), for
both table write path(`DataFrameWriter.saveAsTable`) and data source write path
`DataFrameWriter.save`
2. null is a valid partition value.
3. `HIVE_DEFAULT_PARTITION` is an invalid partition value
This PR doesn't fix all of them but I think it's a good start to deal with
special partition values. I'll create more JIRA tickets after this.
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