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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