GitHub user hvanhovell opened a pull request: https://github.com/apache/spark/pull/12011
[SPARK-14086][SQL] Add DDL commands to ANTLR4 parser #### What changes were proposed in this pull request? This PR adds all the current Spark SQL DDL commands to the new ANTLR 4 based SQL parser. I have found a few inconsistencies in the current commands: - Function has an alias field. This is actually the class name of the function. - Partition specifications should contain nulls in some commands, and contain `None`s in others. - `AlterTableSkewedLocation`: Should defines which columns have skewed values, and should allow us to define storage for each skewed combination of values. We currently only allow one value per field. - `AlterTableSetFileFormat`: Should only have one file format, it currently supports both. I have implemented all these comments like they were, and I propose to improve them in follow-up PRs. #### How was this patch tested? The existing DDLCommandSuite. cc @rxin @andrewor14 @yhuai You can merge this pull request into a Git repository by running: $ git pull https://github.com/hvanhovell/spark SPARK-14086 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/12011.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #12011 ---- commit f7c8eb5bca073d521d0f306e740cbc872cbc657e Author: Herman van Hovell <hvanhov...@questtec.nl> Date: 2016-03-28T19:57:20Z Add DDL commands to SparkSqlParser. ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org