Takuya Ueshin created SPARK-42899:
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Summary: DataFrame.to(schema) fails with the schema of itself.
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
{{DataFrame.to(schema)}} fails with the schema of itself, 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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