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https://issues.apache.org/jira/browse/SPARK-49863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-49863:
-----------------------------------
Assignee: Nikhil Sheoran
> NormalizeFloatingNumbers degrades nullability of expressions with nested
> structs
> --------------------------------------------------------------------------------
>
> Key: SPARK-49863
> URL: https://issues.apache.org/jira/browse/SPARK-49863
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Nikhil Sheoran
> Assignee: Nikhil Sheoran
> Priority: Major
> Labels: pull-request-available
>
> For an AttributeReference where the dataType is a nested struct such that the
> internal struct requires normalization (has a floating type expression), we
> end up not correctly propagating the nullability of an expression.
> For example, for an expression like:
> {code:java}
> namedStruct("struct", namedStruct("double", <DoubleType-field>) {code}
> The dataType prior to normalization is:
> {code:java}
> StructType(StructField("struct", StructType(StructField("double", DoubleType,
> true, {})), false, {})){code}
> whereas post-normalization, the dataType becomes:
> {code:java}
> StructType(StructField("struct", StructType(StructField("double", DoubleType,
> true, {})), true, {}))
> {code}
>
> We ended up converting the `nullable` attribute of the "double" field from
> `false` to `true`.
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