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https://issues.apache.org/jira/browse/SPARK-18731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15724082#comment-15724082
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Sean Owen commented on SPARK-18731:
-----------------------------------
This may have been improved in more recent versions, by the way. In any event,
it's just a warning, and is a valid one, if you're using huge dense features. I
don't think this is a problem per se?
> Task size in K-means is so large
> --------------------------------
>
> Key: SPARK-18731
> URL: https://issues.apache.org/jira/browse/SPARK-18731
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.6.1
> Reporter: Xiaoye Sun
> Priority: Minor
> Original Estimate: 5h
> Remaining Estimate: 5h
>
> When run the KMeans algorithm for a large model (e.g. 100k features and 100
> centers), there will be warning shown for many of the stages saying that the
> task size is very large. Here is an example warning.
> WARN TaskSetManager: Stage 23 contains a task of very large size (56256 KB).
> The maximum recommended task size is 100 KB.
> This could happen at (sum at KMeansModel.scala:88), (takeSample at
> KMeans.scala:378), (aggregate at KMeans.scala:404) and (collect at
> KMeans.scala:436).
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