Github user sddyljsx commented on a diff in the pull request: https://github.com/apache/spark/pull/21859#discussion_r209486199 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ShuffleExchangeExec.scala --- @@ -294,7 +296,12 @@ object ShuffleExchangeExec { sorter.sort(iter.asInstanceOf[Iterator[UnsafeRow]]) } } else { - rdd + part match { + case partitioner: RangePartitioner[InternalRow @unchecked, _] --- End diff -- yes, but ``` def parallelize[T: ClassTag]( seq: Seq[T], numSlices: Int = defaultParallelism): RDD[T] = withScope { assertNotStopped() new ParallelCollectionRDD[T](this, seq, numSlices, Map[Int, Seq[String]]()) } ``` the parallelize function needs this ClassTag, so we must match it here. I tried to match RangePartitioner[_, _], but there is an error: ``` Error:(302, 37) No ClassTag available for _ Error occurred in an application involving default arguments. sparkContext.parallelize(partitioner.getSampledArray.toSeq, rdd.getNumPartitions) ```
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