Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/195#discussion_r11053203
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTableOperations.scala
---
@@ -40,7 +40,7 @@ import java.util.Date
* Parquet table scan operator. Imports the file that backs the given
* [[ParquetRelation]] as a RDD[Row].
*/
-case class ParquetTableScan(
+private[sql] case class ParquetTableScan(
@transient output: Seq[Attribute],
@transient relation: ParquetRelation,
@transient columnPruningPred: Option[Expression])(
--- End diff --
Hi @AndreSchumacher , I'm not sure why these three parameters need to be
transient. In my test, `ParquetTableScan` needs to be serialized to
ExecuteBackend to generate keys in `SparkEquiInnerJoin`, and this transient
will lead the `output` to be null value. I'm not sure what's your design
purpose, maybe I miss something.
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