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Posted to issues@spark.apache.org by "Nick Pentreath (JIRA)" <ji...@apache.org> on 2017/02/27 11:50:48 UTC
[jira] [Commented] (SPARK-11968) ALS recommend all methods spend
most of time in GC
[ https://issues.apache.org/jira/browse/SPARK-11968?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15885636#comment-15885636 ]
Nick Pentreath commented on SPARK-11968:
----------------------------------------
While working on performance testing for ALS parity I've got a possible solution for this.
Will update once I have some more concrete numbers.
> 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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