[jira] [Created] (SPARK-25213) DataSourceV2 doesn't seem to produce unsafe rows

["Li Jin (JIRA)" <ji...@apache.org>]

Li Jin created SPARK-25213:
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             Summary: DataSourceV2 doesn't seem to produce unsafe rows 
                 Key: SPARK-25213
                 URL: https://issues.apache.org/jira/browse/SPARK-25213
             Project: Spark
          Issue Type: Task
          Components: SQL
    Affects Versions: 2.4.0
            Reporter: Li Jin


Reproduce (Need to compile test-classes):

bin/pyspark --driver-class-path sql/core/target/scala-2.11/test-classes
{code:java}
datasource_v2_df = spark.read \
                .format("org.apache.spark.sql.sources.v2.SimpleDataSourceV2") \
                .load()
result = datasource_v2_df.withColumn('x', udf(lambda x: x, 'int')(datasource_v2_df['i']))
result.show()
{code}
The above code fails with:
{code:java}
Caused by: java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.GenericInternalRow cannot be cast to org.apache.spark.sql.catalyst.expressions.UnsafeRow
	at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1$$anonfun$5.apply(EvalPythonExec.scala:127)
	at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1$$anonfun$5.apply(EvalPythonExec.scala:126)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
{code}
Seems like Data Source V2 doesn't produce unsafeRows here.



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