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https://issues.apache.org/jira/browse/SPARK-42899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-42899.
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Fix Version/s: 3.4.1
Assignee: Takuya Ueshin
Resolution: Fixed
Fixed in https://github.com/apache/spark/pull/40526
> DataFrame.to(schema) fails when it contains non-nullable nested field in
> nullable field
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-42899
> URL: https://issues.apache.org/jira/browse/SPARK-42899
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Takuya Ueshin
> Assignee: Takuya Ueshin
> Priority: Major
> Fix For: 3.4.1
>
>
> {{DataFrame.to(schema)}} fails when it contains non-nullable nested field in
> nullable field:
> {code:scala}
> scala> val df = spark.sql("VALUES (1, STRUCT(1 as i)), (NULL, NULL) as t(a,
> b)")
> df: org.apache.spark.sql.DataFrame = [a: int, b: struct<i: int>]
> scala> df.printSchema()
> root
> |-- a: integer (nullable = true)
> |-- b: struct (nullable = true)
> | |-- i: integer (nullable = false)
> scala> df.to(df.schema)
> org.apache.spark.sql.AnalysisException: [NULLABLE_COLUMN_OR_FIELD] Column or
> field `b`.`i` is nullable while it's required to be non-nullable.
> {code}
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