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Posted to issues@spark.apache.org by "Dong Wang (Jira)" <ji...@apache.org> on 2019/11/10 13:02:00 UTC

[jira] [Created] (SPARK-29826) Missing persist on data in mllib.feature.ChiSqSelector.fit

Dong Wang created SPARK-29826:
---------------------------------

             Summary: Missing persist on data in mllib.feature.ChiSqSelector.fit
                 Key: SPARK-29826
                 URL: https://issues.apache.org/jira/browse/SPARK-29826
             Project: Spark
          Issue Type: Sub-task
          Components: MLlib
    Affects Versions: 2.4.3
            Reporter: Dong Wang


The rdd data in mllib.feature.ChiSqSelector.fit() is used by an action in Statistics.chiSqTest(data) and other actions in the following code, but it is not persisted.

{code:scala} 
  def fit(data: RDD[LabeledPoint]): ChiSqSelectorModel = {
    val chiSqTestResult = Statistics.chiSqTest(data).zipWithIndex
    val features = selectorType match {
      case ChiSqSelector.NumTopFeatures =>
        chiSqTestResult
          .sortBy { case (res, _) => res.pValue }
          .take(numTopFeatures)
{code}

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



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