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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/02/07 05:50:00 UTC

[jira] [Assigned] (SPARK-38123) Unified use `DataType.catalogString` as `targetType` of `QueryExecutionErrors#castingCauseOverflowError`

     [ https://issues.apache.org/jira/browse/SPARK-38123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-38123:
------------------------------------

    Assignee: Apache Spark

> Unified use `DataType.catalogString` as `targetType` of `QueryExecutionErrors#castingCauseOverflowError`
> --------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-38123
>                 URL: https://issues.apache.org/jira/browse/SPARK-38123
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: Yang Jie
>            Assignee: Apache Spark
>            Priority: Minor
>
> SPARK-33541 introduces `QueryExecutionErrors#castingCauseOverflowError` and 
> there are 2 ways to input parameter `targetType` in spark:
>  * Use `DataType.catalogString` as `targetType`, such as use in `Cast.scala` and `IntervalUtils.scala`
>  * Use custom literal such as `short`,`int` and `long` in `Decimal.scala` and `numberics.scala`
>  
> And we can use `DataType.catalogString` uniformly
>  
>  



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