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https://issues.apache.org/jira/browse/SPARK-17592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-17592:
-------------------------------
    Fix Version/s: 2.1.0
                   2.0.1

> SQL: CAST string as INT inconsistent with Hive
> ----------------------------------------------
>
>                 Key: SPARK-17592
>                 URL: https://issues.apache.org/jira/browse/SPARK-17592
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>            Reporter: Furcy Pin
>              Labels: correctness
>             Fix For: 2.0.1, 2.1.0
>
>
> Hello,
> there seem to be an inconsistency between Spark and Hive when casting a 
> string into an Int. 
> With Hive:
> {code}
> select cast("0.4" as INT) ;
> > 0
> select cast("0.5" as INT) ;
> > 0
> select cast("0.6" as INT) ;
> > 0
> {code}
> With Spark-SQL:
> {code}
> select cast("0.4" as INT) ;
> > 0
> select cast("0.5" as INT) ;
> > 1
> select cast("0.6" as INT) ;
> > 1
> {code}
> Hive seems to perform a floor(string.toDouble), while Spark seems to perform 
> a round(string.toDouble)
> I'm not sure there is any ISO standard for this, mysql has the same behavior 
> than Hive, while postgresql performs a string.toInt and throws an 
> NumberFormatException
> Personnally I think Hive is right, hence my posting this here.



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