Joseph K. Bradley created SPARK-11968:
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Summary: 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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