Github user tejasapatil commented on a diff in the pull request:
https://github.com/apache/spark/pull/17697#discussion_r112755247
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/rdd/MLPairRDDFunctions.scala ---
@@ -39,8 +39,8 @@ class MLPairRDDFunctions[K: ClassTag, V: ClassTag](self:
RDD[(K, V)]) extends Se
* @param ord the implicit ordering for T
* @return an RDD that contains the top k values for each key
*/
- def topByKey(num: Int)(implicit ord: Ordering[V]): RDD[(K, Array[V])] = {
- self.aggregateByKey(new BoundedPriorityQueue[V](num)(ord))(
+ def topByKey(num: Int, bucketsCount: Int = 200)(implicit ord:
Ordering[V]): RDD[(K, Array[V])] = {
--- End diff --
Not having this param means users are stuck with less reducers so I
definitely see value in this PR.
Is there a recommendation about how to add a param to existing API ?
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