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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/11/06 13:06:00 UTC
[jira] [Resolved] (SPARK-20638) Optimize the CartesianRDD to reduce
repeatedly data fetching
[ https://issues.apache.org/jira/browse/SPARK-20638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-20638.
-------------------------------
Resolution: Won't Fix
> Optimize the CartesianRDD to reduce repeatedly data fetching
> ------------------------------------------------------------
>
> Key: SPARK-20638
> URL: https://issues.apache.org/jira/browse/SPARK-20638
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Teng Jiang
>
> In CartesianRDD, group each iterator to multiple groups. Thus in the second iteration, the data with be fetched (num of data)/groupSize times, rather than (num of data) times.
> The test results are:
> Test Environment : 3 workers, each has 10 cores, 30G memory, 1 executor
> Test data : users : 480,189, each is a 10-dim vector, and items : 17770, each is a 10-dim vector.
> With default CartesianRDD, cartesian time is 2420.7s.
> With this proposal, cartesian time is 45.3s
> 50x faster than the original method.
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