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https://issues.apache.org/jira/browse/SPARK-38407?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-38407:
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Assignee: Gengliang Wang (was: Apache Spark)
> ANSI Cast: loosen the limitation of casting non-null complex types
> ------------------------------------------------------------------
>
> Key: SPARK-38407
> URL: https://issues.apache.org/jira/browse/SPARK-38407
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.3.0, 3.2.2
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
>
> When ANSI mode is off, `ArrayType(DoubleType, containsNull = false)` can't
> cast as `ArrayType(IntegerType, containsNull = false)` since there can be
> overflow thus result in null results and breaks the non-null constraint.
>
> When ANSI mode is on, currently Spark SQL has the same behavior. However,
> this is not correct since the non-null constraint won't be break. Spark SQL
> can just execute the cast and throw runtime error on overflow, just like
> casting DoubleType as IntegerType.
>
> This applies to MapType and StructType as well.
>
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