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https://issues.apache.org/jira/browse/SPARK-11968?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15809805#comment-15809805
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Joseph K. Bradley commented on SPARK-11968:
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I disagree; this is a problem but is non-trivial to fix. However, I'm OK
closing it since I hope we sidestep the issue by porting the implementation to
DataFrames before too long.
> ALS recommend all methods spend most of time in GC
> --------------------------------------------------
>
> Key: SPARK-11968
> URL: https://issues.apache.org/jira/browse/SPARK-11968
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 1.5.2, 1.6.0
> Reporter: Joseph K. Bradley
>
> After adding recommendUsersForProducts and recommendProductsForUsers to ALS
> in spark-perf, I noticed that it takes much longer than ALS itself. Looking
> at the monitoring page, I can see it is spending about 8min doing GC for each
> 10min task. That sounds fixable. Looking at the implementation, there is
> clearly an opportunity to avoid extra allocations:
> [https://github.com/apache/spark/blob/e6dd237463d2de8c506f0735dfdb3f43e8122513/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala#L283]
> CC: [~mengxr]
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