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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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Jorge Machado updated SPARK-17592:
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Comment: was deleted
(was: I'm hitting the same issue I'm afraid but in slightly another way. When I
have a dataframe (that comes from oracle DB ) as parquet I can see in the logs
that a field is beeing saved as integer :
{ "type" : "struct", "fields" : [ \{ "name" : "project_id", "type" : "integer",
"nullable" : true, "metadata" : { } },...
on hue (which reads from hive) I see :
!image-2018-05-24-17-10-24-515.png!)
> 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
> Priority: Major
> Attachments: image-2018-05-24-17-10-24-515.png
>
>
> 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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