Github user ericl commented on a diff in the pull request:
https://github.com/apache/spark/pull/14241#discussion_r72154191
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala ---
@@ -275,62 +271,152 @@ private[sql] case class RowDataSourceScanExec(
|}
""".stripMargin
}
+
+ // Ignore rdd when checking results
+ override def sameResult(plan: SparkPlan): Boolean = plan match {
+ case other: RowDataSourceScanExec => relation == other.relation &&
metadata == other.metadata
+ case _ => false
+ }
}
-/** Physical plan node for scanning data from a batched relation. */
-private[sql] case class BatchedDataSourceScanExec(
+/** Physical plan node for scanning data from files. */
+private[sql] case class FileSourceScanExec(
+ @transient relation: HadoopFsRelation,
output: Seq[Attribute],
- rdd: RDD[InternalRow],
- @transient relation: BaseRelation,
- override val outputPartitioning: Partitioning,
- override val metadata: Map[String, String],
+ outputSchema: StructType,
+ partitionFilters: Seq[Expression],
+ dataFilters: Seq[Filter],
override val metastoreTableIdentifier: Option[TableIdentifier])
- extends DataSourceScanExec with CodegenSupport {
+ extends DataSourceScanExec {
+
+ val supportsBatch = relation.fileFormat.supportBatch(
+ relation.sparkSession, StructType.fromAttributes(output))
+
+ val needsUnsafeRowConversion = if
(relation.fileFormat.isInstanceOf[ParquetSource]) {
+
SparkSession.getActiveSession.get.sessionState.conf.parquetVectorizedReaderEnabled
+ } else {
+ false
+ }
+
+ override val outputPartitioning = {
--- End diff --
Done
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]