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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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