[jira] [Created] (SPARK-42899) DataFrame.to(schema) fails with the schema of itself.

["Takuya Ueshin (Jira)" <ji...@apache.org>]

Takuya Ueshin created SPARK-42899:
-------------------------------------

             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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