[
https://issues.apache.org/jira/browse/SPARK-14130?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Reynold Xin resolved SPARK-14130.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
> [Table related commands] Alter column
> -------------------------------------
>
> Key: SPARK-14130
> URL: https://issues.apache.org/jira/browse/SPARK-14130
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Yin Huai
> Assignee: Yin Huai
> Fix For: 2.0.0
>
>
> For alter column command, we have the following tokens.
> TOK_ALTERTABLE_RENAMECOL
> TOK_ALTERTABLE_ADDCOLS
> TOK_ALTERTABLE_REPLACECOLS
> For data source tables, we should throw exceptions. For Hive tables, we
> should support them. *For Hive tables, we should check Hive's behavior to see
> if there is any file format that does not any of above command*.
> https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/exec/DDLTask.java
> is a good reference for Hive's behavior.
> Also, for a Hive table stored in a format, we need to make sure that even if
> Spark can read this tables after an alter column operation. If we cannot read
> the table, even Hive allows the alter column operation, we should still throw
> an exception. For example, if renaming a column of a Hive parquet table
> causes the renamed column inaccessible (we cannot read values), we should not
> allow this renaming operation.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
