You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean R. Owen (Jira)" <ji...@apache.org> on 2019/11/13 14:17:00 UTC

[jira] [Resolved] (SPARK-29823) Improper persist strategy in mllib.clustering.KMeans.run()

     [ https://issues.apache.org/jira/browse/SPARK-29823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean R. Owen resolved SPARK-29823.
----------------------------------
    Fix Version/s: 3.0.0
       Resolution: Fixed

Issue resolved by pull request 26483
[https://github.com/apache/spark/pull/26483]

> Improper persist strategy in mllib.clustering.KMeans.run()
> ----------------------------------------------------------
>
>                 Key: SPARK-29823
>                 URL: https://issues.apache.org/jira/browse/SPARK-29823
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 2.4.3
>            Reporter: Dong Wang
>            Assignee: Aman Omer
>            Priority: Major
>             Fix For: 3.0.0
>
>
> In mllib.clustering.KMeans.run(), the rdd {color:#de350b}_norms_{color} is persisted. But {color:#de350b}_norms_ {color}only has a single child, i.e., the rdd {color:#de350b}_zippedData_ {color:#172b4d}which was not persisted{color}{color}{color:#172b4d}.{color} So all the actions that reply on _norms_ also reply on _{color:#de350b}zippedData{color}._ The rdd {color:#de350b}_zippedData_{color} will be used by multiple times in _runAlgorithm()._ Therefore _{color:#de350b}zippedData{color}_ should be persisted, not  _{color:#de350b}norms{color}_.
> {code:scala}
>   private[spark] def run(
>       data: RDD[Vector],
>       instr: Option[Instrumentation]): KMeansModel = {
>     if (data.getStorageLevel == StorageLevel.NONE) {
>       logWarning("The input data is not directly cached, which may hurt performance if its"
>         + " parent RDDs are also uncached.")
>     }
>     // Compute squared norms and cache them.
>     val norms = data.map(Vectors.norm(_, 2.0))
>     norms.persist() // Unnecessary persist. Only used to generate zippedData.
>     val zippedData = data.zip(norms).map { case (v, norm) =>
>       new VectorWithNorm(v, norm)
>     } // needs to persist
>     val model = runAlgorithm(zippedData, instr)
>     norms.unpersist() // Change to zippedData.unpersist()
> {code}
> This issue is reported by our tool CacheCheck, which is used to dynamically detecting persist()/unpersist() api misuses.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org