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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/08/23 17:42:12 UTC
[jira] [Assigned] (SPARK-25213) DataSourceV2 doesn't seem to
produce unsafe rows
[ https://issues.apache.org/jira/browse/SPARK-25213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-25213:
------------------------------------
Assignee: (was: Apache Spark)
> 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
> Priority: Major
>
> 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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