Github user hvanhovell commented on a diff in the pull request:

    https://github.com/apache/spark/pull/14241#discussion_r72427356
  
    --- 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 = {
    +    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,
    +    DataSourceScanExec.PUSHED_FILTERS -> dataFilters.mkString("[", ", ", 
"]"),
    +    DataSourceScanExec.INPUT_PATHS -> relation.location.paths.mkString(", 
"))
    +
    +  private def buildScan(): RDD[InternalRow] = {
    +    val selectedPartitions = relation.location.listFiles(partitionFilters)
    +
    +    val readFile: (PartitionedFile) => Iterator[InternalRow] =
    +      relation.fileFormat.buildReaderWithPartitionValues(
    +        sparkSession = relation.sparkSession,
    +        dataSchema = relation.dataSchema,
    +        partitionSchema = relation.partitionSchema,
    +        requiredSchema = outputSchema,
    +        filters = dataFilters,
    +        options = relation.options,
    +        hadoopConf = 
relation.sparkSession.sessionState.newHadoopConfWithOptions(relation.options))
    +
    +    relation.bucketSpec match {
    +      case Some(bucketing) if 
relation.sparkSession.sessionState.conf.bucketingEnabled =>
    +        createBucketedReadRDD(bucketing, readFile, selectedPartitions, 
relation)
    +      case _ =>
    +        createNonBucketedReadRDD(readFile, selectedPartitions, relation)
    +    }
    +  }
    +
    +  override def inputRDDs(): Seq[RDD[InternalRow]] = {
    +    buildScan() :: Nil
    +  }
     
       private[sql] override lazy val metrics =
         Map("numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number 
of output rows"),
           "scanTime" -> SQLMetrics.createTimingMetric(sparkContext, "scan 
time"))
     
       protected override def doExecute(): RDD[InternalRow] = {
    -    // in the case of fallback, this batched scan should never fail 
because of:
    -    // 1) only primitive types are supported
    -    // 2) the number of columns should be smaller than 
spark.sql.codegen.maxFields
    -    WholeStageCodegenExec(this).execute()
    +    if (supportsBatch) {
    +      // in the case of fallback, this batched scan should never fail 
because of:
    +      // 1) only primitive types are supported
    +      // 2) the number of columns should be smaller than 
spark.sql.codegen.maxFields
    +      WholeStageCodegenExec(this).execute()
    +    } else {
    +      val unsafeRows = {
    --- End diff --
    
    Is there are reasons why you have not moved this into the parent class? 


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