[jira] [Created] (SPARK-29810) Missing persist on retaggedInput in RandomForest.run()

["Dong Wang (Jira)" <ji...@apache.org>]

Dong Wang created SPARK-29810:
---------------------------------

             Summary: Missing persist on retaggedInput in RandomForest.run()
                 Key: SPARK-29810
                 URL: https://issues.apache.org/jira/browse/SPARK-29810
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 2.4.3
            Reporter: Dong Wang


The rdd retaggedInput should be persisted in ml.tree.impl.RandomForest.run(), because it will be used more than one actions.

{code:scala}
  def run(
      input: RDD[LabeledPoint],
      strategy: OldStrategy,
      numTrees: Int,
      featureSubsetStrategy: String,
      seed: Long,
      instr: Option[Instrumentation],
      prune: Boolean = true, // exposed for testing only, real trees are always pruned
      parentUID: Option[String] = None): Array[DecisionTreeModel] = {

    val timer = new TimeTracker()
    timer.start("total")
    timer.start("init")
    val retaggedInput = input.retag(classOf[LabeledPoint]) // it needs to be persisted
{code}

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



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