Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/14241#discussion_r72418556
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala ---
@@ -275,62 +272,161 @@ 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.
+ *
+ * @param relation The file-based relation to scan.
+ * @param output Output attributes of the scan.
+ * @param outputSchema Output schema of the scan.
+ * @param partitionFilters Predicates to use for partition pruning.
+ * @param dataFilters Data source filters to use for filtering data within
partitions.
+ * @param metastoreTableIdentifier
+ */
+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: Partitioning = {
+ val bucketSpec = if
(relation.sparkSession.sessionState.conf.bucketingEnabled) {
+ relation.bucketSpec
+ } else {
+ None
+ }
+ bucketSpec.map { spec =>
+ val numBuckets = spec.numBuckets
+ val bucketColumns = spec.bucketColumnNames.flatMap { n =>
+ output.find(_.name == n)
+ }
+ if (bucketColumns.size == spec.bucketColumnNames.size) {
+ HashPartitioning(bucketColumns, numBuckets)
+ } else {
+ UnknownPartitioning(0)
+ }
+ }.getOrElse {
+ UnknownPartitioning(0)
+ }
+ }
+
+ override val metadata: Map[String, String] = Map(
+ "Format" -> relation.fileFormat.toString,
+ "ReadSchema" -> outputSchema.simpleString,
--- End diff --
Should we be able to reconstruct the schema from this? If it is then we
should use `catalogString`.
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