the Spark-SQL Row trait has a schema that by default is null. when the schema is null operations that rely on fieldIndex such as getAs[T](fieldName: String): T do not work.
i noticed that when i convert a DataFrame to Rdd[Row] that the Row objects do have schemas. can i rely on this? when can i be sure that the schema is not null? what is the expectation here? thanks! koert