Github user rdblue commented on a diff in the pull request: https://github.com/apache/spark/pull/22009#discussion_r208380139 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceRDD.scala --- @@ -51,18 +58,19 @@ class DataSourceRDD[T: ClassTag]( valuePrepared } - override def next(): T = { + override def next(): Any = { if (!hasNext) { throw new java.util.NoSuchElementException("End of stream") } valuePrepared = false reader.get() } } - new InterruptibleIterator(context, iter) + // TODO: get rid of this type hack. + new InterruptibleIterator(context, iter.asInstanceOf[Iterator[InternalRow]]) --- End diff -- Why is this necessary? I think the TODO should be handled in this commit and that Spark shouldn't cast RDD[ColumnarBatch] to RDD[InternalRow]. What about having the RDD iterate over the rows in the batch to actually implement the interface? It can provide the underlying batches through a different API.
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