Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/11141#discussion_r52548005
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala ---
@@ -101,10 +102,12 @@ private[sql] case class PhysicalRDD(
override val metadata: Map[String, String] = Map.empty,
isUnsafeRow: Boolean = false,
override val outputPartitioning: Partitioning = UnknownPartitioning(0))
- extends LeafNode {
+ extends LeafNode with CodegenSupport {
protected override def doExecute(): RDD[InternalRow] = {
- if (isUnsafeRow) {
+ val conf = SQLContext.getActive().get
+ // The vectorized reader does not produce UnsafeRows. In this case we
will convert.
+ if (isUnsafeRow &&
!conf.getConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED)) {
--- End diff --
We should also check that the data source is Parquet or not. I'd suggest to
do this in `createFromDataSource`
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