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https://issues.apache.org/jira/browse/SPARK-34769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-34769:
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Assignee: Gengliang Wang (was: Apache Spark)
> AnsiTypeCoercion: return narrowest convertible type among TypeCollection
> ------------------------------------------------------------------------
>
> Key: SPARK-34769
> URL: https://issues.apache.org/jira/browse/SPARK-34769
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
>
> Currently, when implicit casting a data type to a `TypeCollection`, Spark
> returns the first convertible data type among `TypeCollection`.
> In ANSI mode, we can make the behavior more reasonable by returning the
> narrowest convertible data type in `TypeCollection`.
> In details, we first try to find the all the expected types we can
> implicitly cast:
> 1. if there is no convertible data types, return None;
> 2. if there is only one convertible data type, cast input as it;
> 3. otherwise if there are multiple convertible data types, find the narrowest
> common data
> type among them. If there is no such narrowest common data type, return
> None.
> Note that if the narrowest common type is Float type and the convertible
> types contains Double ype, simply return Double type as the narrowest common
> type to avoid potential
> precision loss on converting the Integral type as Float type.
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