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https://issues.apache.org/jira/browse/SPARK-38434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gengliang Wang reassigned SPARK-38434:
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Assignee: huangtengfei
> Correct semantic of CheckAnalysis.getDataTypesAreCompatibleFn method
> --------------------------------------------------------------------
>
> Key: SPARK-38434
> URL: https://issues.apache.org/jira/browse/SPARK-38434
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.1
> Reporter: huangtengfei
> Assignee: huangtengfei
> Priority: Minor
>
> Currently, in `CheckAnalysis` method [getDataTypesAreCompatibleFn
> |https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala#L606]
> implemented as:
> {code:java}
> private def getDataTypesAreCompatibleFn(plan: LogicalPlan): (DataType,
> DataType) => Boolean = {
> val isUnion = plan.isInstanceOf[Union]
> if (isUnion) {
> (dt1: DataType, dt2: DataType) =>
> !DataType.equalsStructurally(dt1, dt2, true)
> } else {
> // SPARK-18058: we shall not care about the nullability of columns
> (dt1: DataType, dt2: DataType) =>
> TypeCoercion.findWiderTypeForTwo(dt1.asNullable,
> dt2.asNullable).isEmpty
> }
> }
> {code}
> Return false when data types are compatible, otherwise return true, which is
> pretty confusing.
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