[jira] [Created] (SPARK-14139) Dataset loses nullability in operations with RowEncoder

["koert kuipers (JIRA)" <ji...@apache.org>]

koert kuipers created SPARK-14139:
-------------------------------------

             Summary: Dataset loses nullability in operations with RowEncoder
                 Key: SPARK-14139
                 URL: https://issues.apache.org/jira/browse/SPARK-14139
             Project: Spark
          Issue Type: Bug
          Components: SQL
            Reporter: koert kuipers
            Priority: Minor


When i do
{noformat}
val df1 = sc.makeRDD(1 to 3).toDF
val df2 = df1.map(row => Row(row(0).asInstanceOf[Int] + 1))(RowEncoder(df1.schema))
println(s"schema before ${df1.schema} and after ${df2.schema}")
{noformat}
I get:
{noformat}
schema before StructType(StructField(value,IntegerType,false)) and after StructType(StructField(value,IntegerType,true))
{noformat}
The change in field nullable is unexpected and i consider it a bug.
This bug was introduced in:
 [SPARK-13244][SQL] Migrates DataFrame to Dataset




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