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Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2019/06/27 11:05:00 UTC
[jira] [Assigned] (SPARK-23179) Support option to throw exception
if overflow occurs
[ https://issues.apache.org/jira/browse/SPARK-23179?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan reassigned SPARK-23179:
-----------------------------------
Assignee: Marco Gaido
> Support option to throw exception if overflow occurs
> ----------------------------------------------------
>
> Key: SPARK-23179
> URL: https://issues.apache.org/jira/browse/SPARK-23179
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Marco Gaido
> Assignee: Marco Gaido
> Priority: Major
>
> SQL ANSI 2011 states that in case of overflow during arithmetic operations, an exception should be thrown. This is what most of the SQL DBs do (eg. SQLServer, DB2). Hive currently returns NULL (as Spark does) but HIVE-18291 is open to be SQL compliant.
> I propose to have a config option which allows to decide whether Spark should behave according to SQL standards or in the current way (ie. returning NULL).
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