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https://issues.apache.org/jira/browse/SPARK-11968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-11968.
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Resolution: Fixed
Fix Version/s: 2.2.1
Issue resolved by pull request 17742
[https://github.com/apache/spark/pull/17742]
> 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
> Assignee: Nick Pentreath
> Fix For: 2.2.1
>
>
> 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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