[jira] [Resolved] (SPARK-25593) JDBC write Impala, `truncate` true option in Overwrite mode for JDBC DataFrameWriter is dropping and creating the table instead of truncating.

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-25593.
----------------------------------
    Resolution: Incomplete

> JDBC write Impala, `truncate` true option in Overwrite mode for JDBC DataFrameWriter is dropping and creating the table instead of truncating.
> ----------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-25593
>                 URL: https://issues.apache.org/jira/browse/SPARK-25593
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.2
>            Reporter: rakesh
>            Priority: Major
>              Labels: bulk-closed
>
> Scenario :
> Reading data from Impala using jdbc (cloudera jdbc41 driver) and writing to Impala with command write.mode(SaveMode.Overwrite).option("truncate", true)
> *Observed*: 
> It's dropping and trying to create a new table. failing with exception
> CAUSED BY: Exception: Syntax error
> ), Query: CREATE TABLE jdbc_spark.persons_write_200 ("personid" INTEGER , "lastname" TEXT , "firstname" TEXT , "address"
> TEXT , "city" TEXT ).
> Expected : 
> It should only truncate the table.
> Note : With SaveMode.Append it's working absolutely fine.
> relates to [SPARK-16463|https://issues.apache.org/jira/browse/SPARK-16463]



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org