[jira] [Assigned] (SPARK-22751) Improve ML RandomForest shuffle performance

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-22751:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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
>            Priority: Minor
>   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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