Teng Jiang created SPARK-20638:
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Summary: 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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