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https://issues.apache.org/jira/browse/SPARK-35929?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35929:
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Assignee: Apache Spark
> Schema inference of nested structs defaults to map
> --------------------------------------------------
>
> Key: SPARK-35929
> URL: https://issues.apache.org/jira/browse/SPARK-35929
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.2.0
> Reporter: Haejoon Lee
> Assignee: Apache Spark
> Priority: Major
>
> Inferring schema for struct columns causing schema issues as below.
> {code:java}
> data = [{"inside_struct": {"payment": 100.5, "name": "Lee"}}]
> df = spark.createDataFrame(data)
> df.show()
> +--------------------+
> | inside_struct|
> +--------------------+
> |{name -> null, pa...|
> +--------------------+
> {code}
> The "inside_struct" is a map, and the "name" column inside of it becomes null.
> The schema inferring might decide on a map type with a value type of the
> first field of the struct, we should fix it.
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