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  1. Spark
  2. SPARK-20638

Optimize the CartesianRDD to reduce repeatedly data fetching

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Details

    • Improvement
    • Status: Resolved
    • Major
    • Resolution: Won't Fix
    • 2.2.0
    • None
    • Spark Core
    • None

    Description

      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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            Unassigned Unassigned
            jtengyp Teng Jiang
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              Created:
              Updated:
              Resolved: