[
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
>
>
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
