Github user xwu0226 commented on the pull request:
https://github.com/apache/spark/pull/12132#issuecomment-210049015
@yhuai Another question.. Currently, for the tables that has
`spark.sql.sources.provider` in table properties, I generate DDL with
datasource table syntax, such as `create table ... USING .. OPTIONS (...)`.
However, such syntax does not support partitioning, bucketing, sorting
features. We will lose such information, if the table is created as
`df.write.partitionBy(...).bucketBy(...).saveAsTable(...)`
Should we also create hive DDL syntax for datasource table then? Thanks!
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