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https://issues.apache.org/jira/browse/SPARK-21268?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21268.
-------------------------------
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18491
[https://github.com/apache/spark/pull/18491]
> Move center calculations to a distributed map in KMeans
> -------------------------------------------------------
>
> Key: SPARK-21268
> URL: https://issues.apache.org/jira/browse/SPARK-21268
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 2.0.0, 2.0.1, 2.0.2, 2.1.0, 2.1.1
> Reporter: Guillaume Dardelet
> Priority: Trivial
> Labels: beginner, easyfix, newbie
> Fix For: 2.3.0
>
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> As I was monitoring the perfomance of my algorithm with SparkUI, I noticed
> that their was a "collectAsMap" operation that was done hundreds of time at
> every iteration of Kmeans:
> https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala#L295
> It would work just as well by performing the following "foreach" on the RDD,
> and would slightly improve perfomance.
> Edit:
> Per Sean Owen recommendations, scal() and VectorWithNorm creation should be
> computed in a distributed map before the collectAsMap.
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