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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-11968) ALS recommend all methods spend most of time in GC
Date Tue, 25 Apr 2017 15:30:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-11968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-11968:
------------------------------------

    Assignee: Nick Pentreath  (was: Apache Spark)

> 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
>
> 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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