srowen commented on a change in pull request #24531: [SPARK-27636][MLLIB]Remove
cached RDD blocks after PIC execution
URL: https://github.com/apache/spark/pull/24531#discussion_r281042454
##########
File path:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala
##########
@@ -226,11 +226,14 @@ class PowerIterationClustering private[clustering] (
*/
private def pic(w: Graph[Double, Double]): PowerIterationClusteringModel = {
val v = powerIter(w, maxIterations)
- val assignments = kMeans(v, k).mapPartitions({ iter =>
+ val kMeansModel = kMeans(v, k)
+ val assignments = kMeansModel.mapPartitions({ iter =>
iter.map { case (id, cluster) =>
Assignment(id, cluster)
}
- }, preservesPartitioning = true)
+ }, preservesPartitioning = true).cache()
+ assignments.count()
+ kMeansModel.unpersist()
Review comment:
I think we can just avoid having the result of kMeans be persisted to begin
with, see below
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