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Subject [GitHub] [spark] amanomer commented on a change in pull request #26454: [SPARK-29818][MLLIB] Missing persist on RDD
Date Wed, 13 Nov 2019 17:17:30 GMT
amanomer commented on a change in pull request #26454: [SPARK-29818][MLLIB] Missing persist
on RDD
URL: https://github.com/apache/spark/pull/26454#discussion_r345890498
 
 

 ##########
 File path: mllib/src/main/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetrics.scala
 ##########
 @@ -165,13 +166,17 @@ class BinaryClassificationMetrics @Since("3.0.0") (
     confusions: RDD[(Double, BinaryConfusionMatrix)]) = {
     // Create a bin for each distinct score value, count weighted positives and
     // negatives within each bin, and then sort by score values in descending order.
-    val counts = scoreLabelsWeight.combineByKey(
+    val binnedWeights = scoreLabelsWeight.combineByKey(
       createCombiner = (labelAndWeight: (Double, Double)) =>
         new BinaryLabelCounter(0.0, 0.0) += (labelAndWeight._1, labelAndWeight._2),
       mergeValue = (c: BinaryLabelCounter, labelAndWeight: (Double, Double)) =>
         c += (labelAndWeight._1, labelAndWeight._2),
       mergeCombiners = (c1: BinaryLabelCounter, c2: BinaryLabelCounter) => c1 += c2
-    ).sortByKey(ascending = false)
+    )
+    if (scoreLabelsWeight.getStorageLevel != StorageLevel.NONE) {
+      binnedWeights.persist()
+    }
+    val counts = binnedWeights.sortByKey(ascending = false)
 
 Review comment:
   `binnedCounts` is a child RDD of `binnedWeights`. And here one action `sortByKey` is performed
on `binnedWeights`.

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