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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/08/25 22:34:00 UTC
[jira] [Commented] (SPARK-40222) Numeric try_add/try_divide/try_subtract/try_multiply should throw error from their children
[ https://issues.apache.org/jira/browse/SPARK-40222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17585048#comment-17585048 ]
Apache Spark commented on SPARK-40222:
--------------------------------------
User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/37663
> Numeric try_add/try_divide/try_subtract/try_multiply should throw error from their children
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-40222
> URL: https://issues.apache.org/jira/browse/SPARK-40222
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
>
> Similar to https://issues.apache.org/jira/browse/SPARK-40054, we should refactor the {{{}try_add{}}}/{{{}try_subtract{}}}/{{{}try_multiply{}}}/{{{}try_divide{}}} functions so that the errors from their children will be shown instead of ignored.
> Spark SQL allows arithmetic operations between Number/Date/Timestamp/CalendarInterval/AnsiInterval (see the rule [ResolveBinaryArithmetic|https://github.com/databricks/runtime/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L501] for details). Some of these combinations can throw exceptions too: * Date + CalendarInterval
> * Date + AnsiInterval
> * Timestamp + AnsiInterval
> * Date - CalendarInterval
> * Date - AnsiInterval
> * Timestamp - AnsiInterval
> * Number * CalendarInterval
> * Number * AnsiInterval
> * CalendarInterval / Number
> * AnsiInterval / Number
> This Jira is for the cases when both input data types are numbers.
>
>
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