gengliangwang commented on code in PR #53041:
URL: https://github.com/apache/spark/pull/53041#discussion_r2525056355
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connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala:
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@@ -1423,6 +1423,56 @@ abstract class AvroSuite
}
}
+ test("to_avro with reordered fields and nullable target succeeds") {
+ // Test that when Catalyst and Avro field orders differ, null values
+ // are correctly validated against the mapped Avro field's nullability
+ val avroSchema = """{
+ "type": "record",
+ "name": "ReorderedRecord",
+ "fields": [
+ {"name": "a", "type": ["null", "string"]},
+ {"name": "b", "type": "string"}
+ ]
+ }"""
+
+ // Catalyst has fields in order [b, a], Avro has [a, b]
+ // Pass null for 'a' which is nullable in Avro - should succeed
+ val df = Seq(("B", null.asInstanceOf[String])).toDF("b", "a")
+ .select(struct($"b", $"a").as("s"))
+ val result = df.select(functions.to_avro($"s", avroSchema).as("avro"))
+
+ // Should succeed without throwing AVRO_CANNOT_WRITE_NULL_FIELD
+ val collected = result.collect()
+ assert(collected.length == 1)
Review Comment:
let's use `checkAnswer` to verify the result data
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