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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] -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org