ueshin opened a new pull request, #40526:
URL: https://github.com/apache/spark/pull/40526
### What changes were proposed in this pull request?
Fixes `DataFrame.to(schema)` to handle the case where there is a
non-nullable nested field in a nullable field.
### Why are the changes needed?
`DataFrame.to(schema)` fails when it contains non-nullable nested field in
nullable field:
```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.
```
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Added the related tests.
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