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  1. Spark
  2. SPARK-29818 Missing persist on RDD
  3. SPARK-29816

Missing persist in mllib.evaluation.BinaryClassificationMetrics.recallByThreshold()

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    Details

    • Type: Sub-task
    • Status: Resolved
    • Priority: Minor
    • Resolution: Duplicate
    • Affects Version/s: 2.4.3
    • Fix Version/s: None
    • Component/s: MLlib
    • Labels:
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      Description

      The rdd scoreAndLabels.combineByKey is used by two actions: sortByKey and count(), so it needs to be persisted.

          val counts = scoreAndLabels.combineByKey(
            createCombiner = (label: Double) => new BinaryLabelCounter(0L, 0L) += label,
            mergeValue = (c: BinaryLabelCounter, label: Double) => c += label,
            mergeCombiners = (c1: BinaryLabelCounter, c2: BinaryLabelCounter) => c1 += c2
          ).sortByKey(ascending = false) // first use
      
          val binnedCounts =
            // Only down-sample if bins is > 0
            if (numBins == 0) {
              // Use original directly
              counts
            } else {
              val countsSize = counts.count() //second use
      

      This issue is reported by our tool CacheCheck, which is used to dynamically detecting persist()/unpersist() api misuses.

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              • Assignee:
                Unassigned
                Reporter:
                spark_cachecheck IcySanwitch
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                • Created:
                  Updated:
                  Resolved: