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https://issues.apache.org/jira/browse/SPARK-22751?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16285729#comment-16285729
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Marco Gaido commented on SPARK-22751:
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You can submit a PR on github, if you have a working solution and if you want.
JIRAs are assigned only when they are resolved.
> Improve ML RandomForest shuffle performance
> -------------------------------------------
>
> Key: SPARK-22751
> URL: https://issues.apache.org/jira/browse/SPARK-22751
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.2.0
> Reporter: lucio35
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> When I try to use ML Randomforest to train a classifier with dataset
> news20.binary, which has 19,996 training examples and 1,355,191 features, i
> found that shuffle write size( 51 GB ) of findSplitsBySorting is very large
> compared with the small data size( 133.52 MB ). I think it is useful to
> replace groupByKey by reduceByKey to improve shuffle performance.
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