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

["Aman Omer (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aman Omer updated SPARK-29810:
------------------------------
        Parent: SPARK-29818
    Issue Type: Sub-task  (was: Improvement)

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