[jira] [Resolved] (SPARK-14322) Use treeAggregate instead of reduce in OnlineLDAOptimizer

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-14322.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0
                   1.6.2
                   1.5.3

> Use treeAggregate instead of reduce in OnlineLDAOptimizer
> ---------------------------------------------------------
>
>                 Key: SPARK-14322
>                 URL: https://issues.apache.org/jira/browse/SPARK-14322
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, MLlib
>    Affects Versions: 1.3.1, 1.4.1, 1.5.2, 1.6.1, 2.0.0
>            Reporter: Joseph K. Bradley
>            Assignee: yuhao yang
>             Fix For: 1.5.3, 1.6.2, 2.0.0
>
>
> OnlineLDAOptimizer uses {{RDD.reduce}} in two places where it could use treeAggregate.  This can cause scalability issues.  This should be an easy fix.
> This is also a bug since it modifies the first argument to reduce, so we should use aggregate or treeAggregate.
> See this line: [https://github.com/apache/spark/blob/f12f11e578169b47e3f8b18b299948c0670ba585/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala#L452]
> and a few lines below it.



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