[jira] [Updated] (SPARK-14118) Implement DDL/DML commands for Spark 2.0

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-14118:
--------------------------------
    Priority: Critical  (was: Blocker)

> Implement DDL/DML commands for Spark 2.0
> ----------------------------------------
>
>                 Key: SPARK-14118
>                 URL: https://issues.apache.org/jira/browse/SPARK-14118
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Yin Huai
>            Priority: Critical
>
> Right now, we have many DDL/DML commands that are passed to Hive, which may cause missing functionality, failures with bad error messages, or inconsistent behaviors (e.g. a command that works with some cases but fails for other cases). For Spark 2.0, it will be great to not ask Hive to process those DDL/DML commands.
> You can find the doc at https://issues.apache.org/jira/secure/attachment/12793435/Implementing%20native%20DDL%20and%20DML%20statements%20for%20Spark%202.pdf (under SPARK-13879).
> There are mainly two kinds of commands, (1) Native, i.e. we want to have native implementation in Spark; (2) Exception, i.e. we should throw an exception. That doc has a few commands that are marked as TBD. We should first throw exceptions for them. 
> Sub-tasks are created based on the doc. A command is represented by its corresponding Token.



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