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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/03/21 04:13:42 UTC

[jira] [Closed] (SPARK-19983) Getting ValidationFailureSemanticException on 'INSERT OVEWRITE'

     [ https://issues.apache.org/jira/browse/SPARK-19983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li closed SPARK-19983.
---------------------------
    Resolution: Not A Problem

> Getting ValidationFailureSemanticException on 'INSERT OVEWRITE'
> ---------------------------------------------------------------
>
>                 Key: SPARK-19983
>                 URL: https://issues.apache.org/jira/browse/SPARK-19983
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Rajkumar
>            Priority: Blocker
>
> Hi, I am creating a DataFrame and registering that DataFrame as temp table using df.createOrReplaceTempView('mytable'). After that I try to write the content from 'mytable' into Hive table(It has partition) using the following query
> insert overwrite table
>    myhivedb.myhivetable
> partition(testdate) // ( 1) : Note here : I have a partition named 'testdate'
> select
>   Field1, 
>   Field2,
>   ...
>   TestDate //(2) : Note here : I have a field named 'TestDate' ; Both (1) & (2) have the same name
> from
>   mytable
> when I execute this query, I am getting the following error
> Exception in thread "main" org.apache.hadoop.hive.ql.metadata.Table$ValidationFailureSemanticException: Partition spec {testdate=, TestDate=2013-01-01}
> Looks like I am getting this error because of the same field names ; ie testdate(the partition in Hive) & TestDate (The field in temp table 'mytable')
> Whereas if my partition name testdate is different from the fieldname(ie TestDate), the query executes successuflly. Example...
> insert overwrite table
>   myhivedb.myhivetable
> partition(my_partition)  //Note here the partition name is not 'testdate'
> select
>   Field1, 
>   Field2,
>   ...
>   TestDate 
> from
>   mytable



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