zhengruifeng commented on code in PR #37728:
URL: https://github.com/apache/spark/pull/37728#discussion_r959190331
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core/src/main/scala/org/apache/spark/rdd/RDD.scala:
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@@ -1523,22 +1523,28 @@ abstract class RDD[T: ClassTag](
* @return an array of top elements
*/
def takeOrdered(num: Int)(implicit ord: Ordering[T]): Array[T] = withScope {
- if (num == 0) {
+ if (num == 0 || this.getNumPartitions == 0) {
Array.empty
} else {
- val mapRDDs = mapPartitions { items =>
- // Priority keeps the largest elements, so let's reverse the ordering.
- val queue = new BoundedPriorityQueue[T](num)(ord.reverse)
- queue ++= collectionUtils.takeOrdered(items, num)(ord)
- Iterator.single(queue)
- }
- if (mapRDDs.partitions.length == 0) {
- Array.empty
- } else {
- mapRDDs.reduce { (queue1, queue2) =>
- queue1 ++= queue2
- queue1
- }.toArray.sorted(ord)
+ this.mapPartitionsWithIndex { case (pid, iter) =>
+ if (iter.nonEmpty) {
+ // Priority keeps the largest elements, so let's reverse the
ordering.
+ Iterator.single(collectionUtils.takeOrdered(iter, num)(ord).toArray)
Review Comment:
do you mean `collectionUtils.takeOrdered`?
both existing `takeOrdered` and newly added `mergeOrdered` call the Guava
implementations, I think they should be irrelative to the Scala version.
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